2024-08-22T20:25:40.8580583Z Current runner version: '2.319.1'
2024-08-22T20:25:40.8586409Z Runner name: '8-core-ubuntu_a63a11f609c0'
2024-08-22T20:25:40.8587124Z Runner group name: 'Default'
2024-08-22T20:25:40.8587888Z Machine name: 'runner'
2024-08-22T20:25:40.8602848Z ##[group]Operating System
2024-08-22T20:25:40.8603406Z Ubuntu
2024-08-22T20:25:40.8603881Z 22.04.4
2024-08-22T20:25:40.8604172Z LTS
2024-08-22T20:25:40.8604505Z ##[endgroup]
2024-08-22T20:25:40.8604966Z ##[group]Runner Image
2024-08-22T20:25:40.8605358Z Image: ubuntu-22.04
2024-08-22T20:25:40.8605753Z Version: 20240818.1.0
2024-08-22T20:25:40.8606817Z Included Software: https://github.com/actions/runner-images/blob/ubuntu22/20240818.1/images/ubuntu/Ubuntu2204-Readme.md
2024-08-22T20:25:40.8608211Z Image Release: https://github.com/actions/runner-images/releases/tag/ubuntu22%2F20240818.1
2024-08-22T20:25:40.8609099Z ##[endgroup]
2024-08-22T20:25:40.8623732Z ##[group]GITHUB_TOKEN Permissions
2024-08-22T20:25:40.8625565Z Contents: read
2024-08-22T20:25:40.8626130Z Metadata: read
2024-08-22T20:25:40.8626711Z Packages: read
2024-08-22T20:25:40.8627093Z ##[endgroup]
2024-08-22T20:25:40.8629942Z Secret source: Actions
2024-08-22T20:25:40.8630632Z Prepare workflow directory
2024-08-22T20:25:40.9521037Z Prepare all required actions
2024-08-22T20:25:40.9676440Z Getting action download info
2024-08-22T20:25:41.1577721Z Download action repository 'actions/checkout@v3' (SHA:f43a0e5ff2bd294095638e18286ca9a3d1956744)
2024-08-22T20:25:41.3622778Z Download action repository 'actions/setup-python@v4' (SHA:65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236)
2024-08-22T20:25:41.6613358Z Complete job name: test-cpu-aoti (x86_64, stories15M)
2024-08-22T20:25:41.7529362Z ##[group]Run actions/checkout@v3
2024-08-22T20:25:41.7529947Z with:
2024-08-22T20:25:41.7530528Z   repository: pytorch/torchchat
2024-08-22T20:25:41.7531366Z   token: ***
2024-08-22T20:25:41.7531772Z   ssh-strict: true
2024-08-22T20:25:41.7532167Z   persist-credentials: true
2024-08-22T20:25:41.7532733Z   clean: true
2024-08-22T20:25:41.7533168Z   sparse-checkout-cone-mode: true
2024-08-22T20:25:41.7533635Z   fetch-depth: 1
2024-08-22T20:25:41.7534110Z   fetch-tags: false
2024-08-22T20:25:41.7534510Z   lfs: false
2024-08-22T20:25:41.7534839Z   submodules: false
2024-08-22T20:25:41.7535336Z   set-safe-directory: true
2024-08-22T20:25:41.7535769Z env:
2024-08-22T20:25:41.7536188Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:25:41.7536960Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:25:41.7537455Z ##[endgroup]
2024-08-22T20:25:41.8572006Z Syncing repository: pytorch/torchchat
2024-08-22T20:25:41.8574046Z ##[group]Getting Git version info
2024-08-22T20:25:41.8575023Z Working directory is '/home/runner/work/torchchat/torchchat'
2024-08-22T20:25:41.8576129Z [command]/usr/bin/git version
2024-08-22T20:25:41.9720717Z git version 2.46.0
2024-08-22T20:25:41.9749254Z ##[endgroup]
2024-08-22T20:25:41.9768980Z Temporarily overriding HOME='/home/runner/work/_temp/a5d7fa4c-cb97-4110-ac9a-4959b88b50e4' before making global git config changes
2024-08-22T20:25:41.9771883Z Adding repository directory to the temporary git global config as a safe directory
2024-08-22T20:25:41.9774075Z [command]/usr/bin/git config --global --add safe.directory /home/runner/work/torchchat/torchchat
2024-08-22T20:25:41.9920273Z Deleting the contents of '/home/runner/work/torchchat/torchchat'
2024-08-22T20:25:41.9923564Z ##[group]Initializing the repository
2024-08-22T20:25:41.9926253Z [command]/usr/bin/git init /home/runner/work/torchchat/torchchat
2024-08-22T20:25:42.0760034Z hint: Using 'master' as the name for the initial branch. This default branch name
2024-08-22T20:25:42.0761689Z hint: is subject to change. To configure the initial branch name to use in all
2024-08-22T20:25:42.0763053Z hint: of your new repositories, which will suppress this warning, call:
2024-08-22T20:25:42.0764019Z hint:
2024-08-22T20:25:42.0764779Z hint: 	git config --global init.defaultBranch <name>
2024-08-22T20:25:42.0765576Z hint:
2024-08-22T20:25:42.0766416Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2024-08-22T20:25:42.0768263Z hint: 'development'. The just-created branch can be renamed via this command:
2024-08-22T20:25:42.0769227Z hint:
2024-08-22T20:25:42.0769628Z hint: 	git branch -m <name>
2024-08-22T20:25:42.0868023Z Initialized empty Git repository in /home/runner/work/torchchat/torchchat/.git/
2024-08-22T20:25:42.0876447Z [command]/usr/bin/git remote add origin https://github.com/pytorch/torchchat
2024-08-22T20:25:42.0971776Z ##[endgroup]
2024-08-22T20:25:42.0972601Z ##[group]Disabling automatic garbage collection
2024-08-22T20:25:42.0974082Z [command]/usr/bin/git config --local gc.auto 0
2024-08-22T20:25:42.1001028Z ##[endgroup]
2024-08-22T20:25:42.1001879Z ##[group]Setting up auth
2024-08-22T20:25:42.1005827Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-08-22T20:25:42.1032750Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2024-08-22T20:25:42.3258974Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-08-22T20:25:42.3285935Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2024-08-22T20:25:42.3519686Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-08-22T20:25:42.3551746Z ##[endgroup]
2024-08-22T20:25:42.3552889Z ##[group]Fetching the repository
2024-08-22T20:25:42.3559997Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +0e4d4b184770ee5c0943c8ad43f2a1be7a2dd2c9:refs/remotes/pull/1044/merge
2024-08-22T20:25:42.7423319Z remote: Enumerating objects: 237, done.        
2024-08-22T20:25:42.7424753Z remote: Counting objects:   0% (1/237)        
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2024-08-22T20:25:42.7472578Z remote: Counting objects:  84% (200/237)        
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2024-08-22T20:25:42.7481405Z remote: Counting objects: 100% (237/237), done.        
2024-08-22T20:25:42.7482030Z remote: Compressing objects:   0% (1/193)        
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2024-08-22T20:25:42.7496678Z remote: Compressing objects:  27% (53/193)        
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2024-08-22T20:25:42.7511806Z remote: Compressing objects:  55% (107/193)        
2024-08-22T20:25:42.7512397Z remote: Compressing objects:  56% (109/193)        
2024-08-22T20:25:42.7512932Z remote: Compressing objects:  57% (111/193)        
2024-08-22T20:25:42.7513413Z remote: Compressing objects:  58% (112/193)        
2024-08-22T20:25:42.7514017Z remote: Compressing objects:  59% (114/193)        
2024-08-22T20:25:42.7514525Z remote: Compressing objects:  60% (116/193)        
2024-08-22T20:25:42.7515111Z remote: Compressing objects:  61% (118/193)        
2024-08-22T20:25:42.7515607Z remote: Compressing objects:  62% (120/193)        
2024-08-22T20:25:42.7516124Z remote: Compressing objects:  63% (122/193)        
2024-08-22T20:25:42.7516700Z remote: Compressing objects:  64% (124/193)        
2024-08-22T20:25:42.7517194Z remote: Compressing objects:  65% (126/193)        
2024-08-22T20:25:42.7517700Z remote: Compressing objects:  66% (128/193)        
2024-08-22T20:25:42.7518287Z remote: Compressing objects:  67% (130/193)        
2024-08-22T20:25:42.7518792Z remote: Compressing objects:  68% (132/193)        
2024-08-22T20:25:42.7519295Z remote: Compressing objects:  69% (134/193)        
2024-08-22T20:25:42.7519879Z remote: Compressing objects:  70% (136/193)        
2024-08-22T20:25:42.7520353Z remote: Compressing objects:  71% (138/193)        
2024-08-22T20:25:42.7520857Z remote: Compressing objects:  72% (139/193)        
2024-08-22T20:25:42.7521450Z remote: Compressing objects:  73% (141/193)        
2024-08-22T20:25:42.7521923Z remote: Compressing objects:  74% (143/193)        
2024-08-22T20:25:42.7522425Z remote: Compressing objects:  75% (145/193)        
2024-08-22T20:25:42.7523014Z remote: Compressing objects:  76% (147/193)        
2024-08-22T20:25:42.7523491Z remote: Compressing objects:  77% (149/193)        
2024-08-22T20:25:42.7524009Z remote: Compressing objects:  78% (151/193)        
2024-08-22T20:25:42.7524626Z remote: Compressing objects:  79% (153/193)        
2024-08-22T20:25:42.7525136Z remote: Compressing objects:  80% (155/193)        
2024-08-22T20:25:42.7525781Z remote: Compressing objects:  81% (157/193)        
2024-08-22T20:25:42.7526371Z remote: Compressing objects:  82% (159/193)        
2024-08-22T20:25:42.7526878Z remote: Compressing objects:  83% (161/193)        
2024-08-22T20:25:42.7527369Z remote: Compressing objects:  84% (163/193)        
2024-08-22T20:25:42.7527942Z remote: Compressing objects:  85% (165/193)        
2024-08-22T20:25:42.7528449Z remote: Compressing objects:  86% (166/193)        
2024-08-22T20:25:42.7528937Z remote: Compressing objects:  87% (168/193)        
2024-08-22T20:25:42.7529509Z remote: Compressing objects:  88% (170/193)        
2024-08-22T20:25:42.7530021Z remote: Compressing objects:  89% (172/193)        
2024-08-22T20:25:42.7530764Z remote: Compressing objects:  90% (174/193)        
2024-08-22T20:25:42.7531349Z remote: Compressing objects:  91% (176/193)        
2024-08-22T20:25:42.7531876Z remote: Compressing objects:  92% (178/193)        
2024-08-22T20:25:42.7532359Z remote: Compressing objects:  93% (180/193)        
2024-08-22T20:25:42.7532924Z remote: Compressing objects:  94% (182/193)        
2024-08-22T20:25:42.7533450Z remote: Compressing objects:  95% (184/193)        
2024-08-22T20:25:42.7533926Z remote: Compressing objects:  96% (186/193)        
2024-08-22T20:25:42.7534490Z remote: Compressing objects:  97% (188/193)        
2024-08-22T20:25:42.7535014Z remote: Compressing objects:  98% (190/193)        
2024-08-22T20:25:42.7535516Z remote: Compressing objects:  99% (192/193)        
2024-08-22T20:25:42.7536059Z remote: Compressing objects: 100% (193/193)        
2024-08-22T20:25:42.7536795Z remote: Compressing objects: 100% (193/193), done.        
2024-08-22T20:25:42.7605962Z Receiving objects:   0% (1/237)
2024-08-22T20:25:42.7607192Z Receiving objects:   1% (3/237)
2024-08-22T20:25:42.7607872Z Receiving objects:   2% (5/237)
2024-08-22T20:25:42.7608870Z Receiving objects:   3% (8/237)
2024-08-22T20:25:42.7610001Z Receiving objects:   4% (10/237)
2024-08-22T20:25:42.7611459Z Receiving objects:   5% (12/237)
2024-08-22T20:25:42.7611996Z Receiving objects:   6% (15/237)
2024-08-22T20:25:42.7612508Z Receiving objects:   7% (17/237)
2024-08-22T20:25:42.7613241Z Receiving objects:   8% (19/237)
2024-08-22T20:25:42.7613984Z Receiving objects:   9% (22/237)
2024-08-22T20:25:42.7615338Z Receiving objects:  10% (24/237)
2024-08-22T20:25:42.7616054Z Receiving objects:  11% (27/237)
2024-08-22T20:25:42.7616748Z Receiving objects:  12% (29/237)
2024-08-22T20:25:42.7617335Z Receiving objects:  13% (31/237)
2024-08-22T20:25:42.7617784Z Receiving objects:  14% (34/237)
2024-08-22T20:25:42.7618227Z Receiving objects:  15% (36/237)
2024-08-22T20:25:42.7620219Z Receiving objects:  16% (38/237)
2024-08-22T20:25:42.7620723Z Receiving objects:  17% (41/237)
2024-08-22T20:25:42.7621359Z Receiving objects:  18% (43/237)
2024-08-22T20:25:42.7622068Z Receiving objects:  19% (46/237)
2024-08-22T20:25:42.7622644Z Receiving objects:  20% (48/237)
2024-08-22T20:25:42.7623250Z Receiving objects:  21% (50/237)
2024-08-22T20:25:42.7623888Z Receiving objects:  22% (53/237)
2024-08-22T20:25:42.7624424Z Receiving objects:  23% (55/237)
2024-08-22T20:25:42.7625109Z Receiving objects:  24% (57/237)
2024-08-22T20:25:42.7625654Z Receiving objects:  25% (60/237)
2024-08-22T20:25:42.7626357Z Receiving objects:  26% (62/237)
2024-08-22T20:25:42.7627066Z Receiving objects:  27% (64/237)
2024-08-22T20:25:42.7627522Z Receiving objects:  28% (67/237)
2024-08-22T20:25:42.7627951Z Receiving objects:  29% (69/237)
2024-08-22T20:25:42.7628594Z Receiving objects:  30% (72/237)
2024-08-22T20:25:42.7628978Z Receiving objects:  31% (74/237)
2024-08-22T20:25:42.7629531Z Receiving objects:  32% (76/237)
2024-08-22T20:25:42.7630128Z Receiving objects:  33% (79/237)
2024-08-22T20:25:42.7630542Z Receiving objects:  34% (81/237)
2024-08-22T20:25:42.7630999Z Receiving objects:  35% (83/237)
2024-08-22T20:25:42.7631849Z Receiving objects:  36% (86/237)
2024-08-22T20:25:42.7632433Z Receiving objects:  37% (88/237)
2024-08-22T20:25:42.7633342Z Receiving objects:  38% (91/237)
2024-08-22T20:25:42.7633897Z Receiving objects:  39% (93/237)
2024-08-22T20:25:42.7634288Z Receiving objects:  40% (95/237)
2024-08-22T20:25:42.7634686Z Receiving objects:  41% (98/237)
2024-08-22T20:25:42.7635148Z Receiving objects:  42% (100/237)
2024-08-22T20:25:42.7635544Z Receiving objects:  43% (102/237)
2024-08-22T20:25:42.7635943Z Receiving objects:  44% (105/237)
2024-08-22T20:25:42.7636390Z Receiving objects:  45% (107/237)
2024-08-22T20:25:42.7636775Z Receiving objects:  46% (110/237)
2024-08-22T20:25:42.7637187Z Receiving objects:  47% (112/237)
2024-08-22T20:25:42.7637677Z Receiving objects:  48% (114/237)
2024-08-22T20:25:42.7638047Z Receiving objects:  49% (117/237)
2024-08-22T20:25:42.7641660Z Receiving objects:  50% (119/237)
2024-08-22T20:25:42.7643423Z Receiving objects:  51% (121/237)
2024-08-22T20:25:42.7644974Z Receiving objects:  52% (124/237)
2024-08-22T20:25:42.7676843Z Receiving objects:  53% (126/237)
2024-08-22T20:25:42.7677615Z Receiving objects:  54% (128/237)
2024-08-22T20:25:42.7679229Z Receiving objects:  55% (131/237)
2024-08-22T20:25:42.7681303Z Receiving objects:  56% (133/237)
2024-08-22T20:25:42.7682111Z Receiving objects:  57% (136/237)
2024-08-22T20:25:42.7682549Z Receiving objects:  58% (138/237)
2024-08-22T20:25:42.7682920Z Receiving objects:  59% (140/237)
2024-08-22T20:25:42.7683667Z Receiving objects:  60% (143/237)
2024-08-22T20:25:42.7684089Z Receiving objects:  61% (145/237)
2024-08-22T20:25:42.7684448Z Receiving objects:  62% (147/237)
2024-08-22T20:25:42.7684959Z Receiving objects:  63% (150/237)
2024-08-22T20:25:42.7685931Z Receiving objects:  64% (152/237)
2024-08-22T20:25:42.7687723Z Receiving objects:  65% (155/237)
2024-08-22T20:25:42.7688303Z Receiving objects:  66% (157/237)
2024-08-22T20:25:42.7688856Z Receiving objects:  67% (159/237)
2024-08-22T20:25:42.7689441Z Receiving objects:  68% (162/237)
2024-08-22T20:25:42.7690051Z Receiving objects:  69% (164/237)
2024-08-22T20:25:42.7690735Z Receiving objects:  70% (166/237)
2024-08-22T20:25:42.7692045Z Receiving objects:  71% (169/237)
2024-08-22T20:25:42.7692553Z Receiving objects:  72% (171/237)
2024-08-22T20:25:42.7693529Z Receiving objects:  73% (174/237)
2024-08-22T20:25:42.7694449Z Receiving objects:  74% (176/237)
2024-08-22T20:25:42.7697347Z Receiving objects:  75% (178/237)
2024-08-22T20:25:42.7698142Z Receiving objects:  76% (181/237)
2024-08-22T20:25:42.7699662Z remote: Total 237 (delta 16), reused 151 (delta 7), pack-reused 0 (from 0)        
2024-08-22T20:25:42.7700723Z Receiving objects:  77% (183/237)
2024-08-22T20:25:42.7701490Z Receiving objects:  78% (185/237)
2024-08-22T20:25:42.7702308Z Receiving objects:  79% (188/237)
2024-08-22T20:25:42.7703866Z Receiving objects:  80% (190/237)
2024-08-22T20:25:42.7706181Z Receiving objects:  81% (192/237)
2024-08-22T20:25:42.7707226Z Receiving objects:  82% (195/237)
2024-08-22T20:25:42.7711571Z Receiving objects:  83% (197/237)
2024-08-22T20:25:42.7713044Z Receiving objects:  84% (200/237)
2024-08-22T20:25:42.7715793Z Receiving objects:  85% (202/237)
2024-08-22T20:25:42.7716566Z Receiving objects:  86% (204/237)
2024-08-22T20:25:42.7717243Z Receiving objects:  87% (207/237)
2024-08-22T20:25:42.7718025Z Receiving objects:  88% (209/237)
2024-08-22T20:25:42.7721936Z Receiving objects:  89% (211/237)
2024-08-22T20:25:42.7722675Z Receiving objects:  90% (214/237)
2024-08-22T20:25:42.7723743Z Receiving objects:  91% (216/237)
2024-08-22T20:25:42.7724485Z Receiving objects:  92% (219/237)
2024-08-22T20:25:42.7725830Z Receiving objects:  93% (221/237)
2024-08-22T20:25:42.7727085Z Receiving objects:  94% (223/237)
2024-08-22T20:25:42.7727829Z Receiving objects:  95% (226/237)
2024-08-22T20:25:42.7730705Z Receiving objects:  96% (228/237)
2024-08-22T20:25:42.7731593Z Receiving objects:  97% (230/237)
2024-08-22T20:25:42.7732372Z Receiving objects:  98% (233/237)
2024-08-22T20:25:42.7733160Z Receiving objects:  99% (235/237)
2024-08-22T20:25:42.7734037Z Receiving objects: 100% (237/237)
2024-08-22T20:25:42.7735320Z Receiving objects: 100% (237/237), 488.09 KiB | 37.54 MiB/s, done.
2024-08-22T20:25:42.7738260Z Resolving deltas:   0% (0/16)
2024-08-22T20:25:42.7738991Z Resolving deltas:   6% (1/16)
2024-08-22T20:25:42.7739855Z Resolving deltas:  12% (2/16)
2024-08-22T20:25:42.7740588Z Resolving deltas:  18% (3/16)
2024-08-22T20:25:42.7741374Z Resolving deltas:  25% (4/16)
2024-08-22T20:25:42.7741951Z Resolving deltas:  31% (5/16)
2024-08-22T20:25:42.7742628Z Resolving deltas:  37% (6/16)
2024-08-22T20:25:42.7743356Z Resolving deltas:  43% (7/16)
2024-08-22T20:25:42.7743918Z Resolving deltas:  50% (8/16)
2024-08-22T20:25:42.7744547Z Resolving deltas:  56% (9/16)
2024-08-22T20:25:42.7745259Z Resolving deltas:  68% (11/16)
2024-08-22T20:25:42.7745848Z Resolving deltas:  75% (12/16)
2024-08-22T20:25:42.7746268Z Resolving deltas:  81% (13/16)
2024-08-22T20:25:42.7746739Z Resolving deltas:  87% (14/16)
2024-08-22T20:25:42.7747087Z Resolving deltas:  93% (15/16)
2024-08-22T20:25:42.7747493Z Resolving deltas: 100% (16/16)
2024-08-22T20:25:42.7747988Z Resolving deltas: 100% (16/16), done.
2024-08-22T20:25:42.7964149Z From https://github.com/pytorch/torchchat
2024-08-22T20:25:42.7965418Z  * [new ref]         0e4d4b184770ee5c0943c8ad43f2a1be7a2dd2c9 -> pull/1044/merge
2024-08-22T20:25:42.8044836Z ##[endgroup]
2024-08-22T20:25:42.8045993Z ##[group]Determining the checkout info
2024-08-22T20:25:42.8046994Z ##[endgroup]
2024-08-22T20:25:42.8047677Z ##[group]Checking out the ref
2024-08-22T20:25:42.8050655Z [command]/usr/bin/git checkout --progress --force refs/remotes/pull/1044/merge
2024-08-22T20:25:42.8198443Z Note: switching to 'refs/remotes/pull/1044/merge'.
2024-08-22T20:25:42.8199580Z 
2024-08-22T20:25:42.8200171Z You are in 'detached HEAD' state. You can look around, make experimental
2024-08-22T20:25:42.8201147Z changes and commit them, and you can discard any commits you make in this
2024-08-22T20:25:42.8202210Z state without impacting any branches by switching back to a branch.
2024-08-22T20:25:42.8202739Z 
2024-08-22T20:25:42.8203097Z If you want to create a new branch to retain commits you create, you may
2024-08-22T20:25:42.8203954Z do so (now or later) by using -c with the switch command. Example:
2024-08-22T20:25:42.8204385Z 
2024-08-22T20:25:42.8204682Z   git switch -c <new-branch-name>
2024-08-22T20:25:42.8204984Z 
2024-08-22T20:25:42.8205142Z Or undo this operation with:
2024-08-22T20:25:42.8205442Z 
2024-08-22T20:25:42.8205576Z   git switch -
2024-08-22T20:25:42.8205770Z 
2024-08-22T20:25:42.8206218Z Turn off this advice by setting config variable advice.detachedHead to false
2024-08-22T20:25:42.8206736Z 
2024-08-22T20:25:42.8207312Z HEAD is now at 0e4d4b1 Merge c8dc18a48d66f51855d89294f3ca800692cd5dad into d5bb3c6659c8978a95c5141eb31e6e58f94af20a
2024-08-22T20:25:42.8215606Z ##[endgroup]
2024-08-22T20:25:42.8279378Z [command]/usr/bin/git log -1 --format='%H'
2024-08-22T20:25:42.8305406Z '0e4d4b184770ee5c0943c8ad43f2a1be7a2dd2c9'
2024-08-22T20:25:42.8617824Z ##[group]Run actions/setup-python@v4
2024-08-22T20:25:42.8618462Z with:
2024-08-22T20:25:42.8618799Z   python-version: 3.10.11
2024-08-22T20:25:42.8619155Z   check-latest: false
2024-08-22T20:25:42.8619775Z   token: ***
2024-08-22T20:25:42.8620135Z   update-environment: true
2024-08-22T20:25:42.8620545Z   allow-prereleases: false
2024-08-22T20:25:42.8620938Z env:
2024-08-22T20:25:42.8621326Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:25:42.8621847Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:25:42.8622280Z ##[endgroup]
2024-08-22T20:25:42.9827719Z ##[group]Installed versions
2024-08-22T20:25:43.0241482Z Version 3.10.11 was not found in the local cache
2024-08-22T20:25:43.4453752Z Version 3.10.11 is available for downloading
2024-08-22T20:25:43.4455402Z Download from "https://github.com/actions/python-versions/releases/download/3.10.11-4626646535/python-3.10.11-linux-22.04-x64.tar.gz"
2024-08-22T20:25:44.2214012Z Extract downloaded archive
2024-08-22T20:25:44.2333788Z [command]/usr/bin/tar xz --warning=no-unknown-keyword -C /home/runner/work/_temp/a14aad6c-85a9-482f-bc9f-4a8095160965 -f /home/runner/work/_temp/a2870755-e4a0-4728-b7b4-eddecac5f731
2024-08-22T20:25:45.6674625Z Execute installation script
2024-08-22T20:25:45.6768475Z Check if Python hostedtoolcache folder exist...
2024-08-22T20:25:45.6769162Z Create Python 3.10.11 folder
2024-08-22T20:25:45.6782894Z Copy Python binaries to hostedtoolcache folder
2024-08-22T20:25:46.2486428Z Create additional symlinks (Required for the UsePythonVersion Azure Pipelines task and the setup-python GitHub Action)
2024-08-22T20:25:46.2533925Z Upgrading pip...
2024-08-22T20:25:48.3748507Z Looking in links: /tmp/tmp68lfpxov
2024-08-22T20:25:48.3751675Z Requirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (65.5.0)
2024-08-22T20:25:48.3755329Z Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (23.0.1)
2024-08-22T20:25:49.5869028Z Collecting pip
2024-08-22T20:25:49.6307468Z Downloading pip-24.2-py3-none-any.whl (1.8 MB)
2024-08-22T20:25:49.7343940Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.8/1.8 MB 17.9 MB/s eta 0:00:00
2024-08-22T20:25:49.7344424Z 
2024-08-22T20:25:49.7771998Z Installing collected packages: pip
2024-08-22T20:25:50.6173028Z Successfully installed pip-24.2
2024-08-22T20:25:50.6660201Z Create complete file
2024-08-22T20:25:50.6696895Z Successfully set up CPython (3.10.11)
2024-08-22T20:25:50.6697819Z ##[endgroup]
2024-08-22T20:25:50.6857044Z ##[group]Run echo "$(uname -a)"
2024-08-22T20:25:50.6857550Z echo "$(uname -a)"
2024-08-22T20:25:50.8133480Z shell: /usr/bin/bash -e {0}
2024-08-22T20:25:50.8134041Z env:
2024-08-22T20:25:50.8134439Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:25:50.8134937Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:25:50.8135639Z   pythonLocation: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.8136295Z   PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib/pkgconfig
2024-08-22T20:25:50.8136929Z   Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.8137685Z   Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.8138270Z   Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.8138811Z   LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib
2024-08-22T20:25:50.8139369Z ##[endgroup]
2024-08-22T20:25:50.8323871Z Linux runner 6.5.0-1025-azure #26~22.04.1-Ubuntu SMP Thu Jul 11 22:33:04 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
2024-08-22T20:25:50.8362679Z ##[group]Run ./install_requirements.sh
2024-08-22T20:25:50.8363192Z ./install_requirements.sh
2024-08-22T20:25:50.8363700Z pip3 list
2024-08-22T20:25:50.8364338Z python3 -c 'import torch;print(f"torch: {torch.__version__, torch.version.git_version}")'
2024-08-22T20:25:50.8427306Z shell: /usr/bin/bash -e {0}
2024-08-22T20:25:50.8427692Z env:
2024-08-22T20:25:50.8428036Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:25:50.8428647Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:25:50.8429154Z   pythonLocation: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.8429764Z   PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib/pkgconfig
2024-08-22T20:25:50.8430476Z   Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.8431052Z   Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.8431586Z   Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:25:50.8432365Z   LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib
2024-08-22T20:25:50.8432826Z ##[endgroup]
2024-08-22T20:25:50.8654322Z + pip3 install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/nightly/cu121
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2024-08-22T20:26:41.0828710Z Downloading aiohappyeyeballs-2.4.0-py3-none-any.whl (12 kB)
2024-08-22T20:26:41.0907026Z Downloading async_timeout-4.0.3-py3-none-any.whl (5.7 kB)
2024-08-22T20:26:41.0982348Z Downloading chardet-5.2.0-py3-none-any.whl (199 kB)
2024-08-22T20:26:41.1068998Z Downloading jsonschema_specifications-2023.12.1-py3-none-any.whl (18 kB)
2024-08-22T20:26:41.1149464Z Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)
2024-08-22T20:26:41.1236232Z Downloading referencing-0.35.1-py3-none-any.whl (26 kB)
2024-08-22T20:26:41.1319222Z Downloading rpds_py-0.20.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (354 kB)
2024-08-22T20:26:41.1421620Z Downloading smmap-5.0.1-py3-none-any.whl (24 kB)
2024-08-22T20:26:41.1501511Z Downloading nvidia_nvjitlink_cu12-12.6.20-py3-none-manylinux2014_x86_64.whl (19.7 MB)
2024-08-22T20:26:41.2546019Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 19.7/19.7 MB 192.7 MB/s eta 0:00:00
2024-08-22T20:26:42.3316183Z Building wheels for collected packages: rouge-score, sqlitedict, word2number
2024-08-22T20:26:42.3327065Z   Building wheel for rouge-score (pyproject.toml): started
2024-08-22T20:26:42.5337803Z   Building wheel for rouge-score (pyproject.toml): finished with status 'done'
2024-08-22T20:26:42.5343993Z   Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24934 sha256=c07466f8ad748814477aff95a79421d7438490a6f9f2a6b3e68d2a1822b96557
2024-08-22T20:26:42.5346362Z   Stored in directory: /home/runner/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4
2024-08-22T20:26:42.5370359Z   Building wheel for sqlitedict (pyproject.toml): started
2024-08-22T20:26:42.7498789Z   Building wheel for sqlitedict (pyproject.toml): finished with status 'done'
2024-08-22T20:26:42.7506177Z   Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16863 sha256=655f4ac15e6f585fb9484c365281816b48a21e5e339e9beff3e0cae425fb877d
2024-08-22T20:26:42.7508707Z   Stored in directory: /home/runner/.cache/pip/wheels/79/d6/e7/304e0e6cb2221022c26d8161f7c23cd4f259a9e41e8bbcfabd
2024-08-22T20:26:42.7532875Z   Building wheel for word2number (pyproject.toml): started
2024-08-22T20:26:42.9458216Z   Building wheel for word2number (pyproject.toml): finished with status 'done'
2024-08-22T20:26:42.9464199Z   Created wheel for word2number: filename=word2number-1.1-py3-none-any.whl size=5567 sha256=c17e5a3f44d2cc6b6223f8130e47701668cf79e1ece86cde2fe51ed01ddd2767
2024-08-22T20:26:42.9466819Z   Stored in directory: /home/runner/.cache/pip/wheels/84/ff/26/d3cfbd971e96c5aa3737ecfced81628830d7359b55fbb8ca3b
2024-08-22T20:26:42.9481933Z Successfully built rouge-score sqlitedict word2number
2024-08-22T20:26:43.7134158Z Installing collected packages: zstd, word2number, sqlitedict, sentencepiece, pytz, ninja, mpmath, zstandard, xxhash, wheel, watchdog, urllib3, tzdata, typing-extensions, tqdm, tornado, tomli, toml, threadpoolctl, tenacity, tcolorpy, tabulate, sympy, smmap, six, safetensors, rpds-py, regex, pyyaml, pygments, pycryptodomex, pybind11, psutil, protobuf, portalocker, pillow, pathvalidate, packaging, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, narwhals, multidict, more-itertools, mdurl, MarkupSafe, lxml, joblib, itsdangerous, idna, fsspec, frozenlist, filelock, dill, colorama, cmake, click, charset-normalizer, chardet, certifi, cachetools, blinker, attrs, async-timeout, aiohappyeyeballs, absl-py, yarl, Werkzeug, triton, tqdm-multiprocess, snakeviz, scipy, sacrebleu, requests, referencing, python-dateutil, pyarrow, nvidia-cusparse-cu12, nvidia-cudnn-cu12, numexpr, nltk, multiprocess, mbstrdecoder, markdown-it-py, jsonlines, Jinja2, gitdb, gguf, blobfile, aiosignal, typepy, tiktoken, scikit-learn, rouge-score, rich, pydeck, pandas, nvidia-cusolver-cu12, jsonschema-specifications, huggingface_hub, gitpython, flask, aiohttp, torch, tokenizers, jsonschema, transformers, datasets, DataProperty, altair, accelerate, tabledata, streamlit, peft, evaluate, pytablewriter, lm-eval
2024-08-22T20:27:55.3796888Z Successfully installed DataProperty-1.0.1 Jinja2-3.1.4 MarkupSafe-2.1.5 Werkzeug-3.0.4 absl-py-2.1.0 accelerate-0.33.0 aiohappyeyeballs-2.4.0 aiohttp-3.10.5 aiosignal-1.3.1 altair-5.4.0 async-timeout-4.0.3 attrs-24.2.0 blinker-1.8.2 blobfile-2.1.1 cachetools-5.5.0 certifi-2024.7.4 chardet-5.2.0 charset-normalizer-3.3.2 click-8.1.7 cmake-3.30.2 colorama-0.4.6 datasets-2.21.0 dill-0.3.8 evaluate-0.4.2 filelock-3.15.4 flask-3.0.3 frozenlist-1.4.1 fsspec-2024.6.1 gguf-0.9.1 gitdb-4.0.11 gitpython-3.1.43 huggingface_hub-0.24.6 idna-3.7 itsdangerous-2.2.0 joblib-1.4.2 jsonlines-4.0.0 jsonschema-4.23.0 jsonschema-specifications-2023.12.1 lm-eval-0.4.2 lxml-4.9.4 markdown-it-py-3.0.0 mbstrdecoder-1.1.3 mdurl-0.1.2 more-itertools-10.4.0 mpmath-1.3.0 multidict-6.0.5 multiprocess-0.70.16 narwhals-1.5.2 networkx-3.3 ninja-1.11.1.1 nltk-3.9.1 numexpr-2.10.1 numpy-1.26.4 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.6.20 nvidia-nvtx-cu12-12.1.105 packaging-24.1 pandas-2.2.2 pathvalidate-3.2.0 peft-0.12.0 pillow-10.4.0 portalocker-2.10.1 protobuf-5.27.3 psutil-6.0.0 pyarrow-17.0.0 pybind11-2.13.5 pycryptodomex-3.20.0 pydeck-0.9.1 pygments-2.18.0 pytablewriter-1.2.0 python-dateutil-2.9.0.post0 pytz-2024.1 pyyaml-6.0.2 referencing-0.35.1 regex-2024.7.24 requests-2.32.3 rich-13.7.1 rouge-score-0.1.2 rpds-py-0.20.0 sacrebleu-2.4.3 safetensors-0.4.4 scikit-learn-1.5.1 scipy-1.14.1 sentencepiece-0.2.0 six-1.16.0 smmap-5.0.1 snakeviz-2.2.0 sqlitedict-2.1.0 streamlit-1.37.1 sympy-1.13.2 tabledata-1.3.3 tabulate-0.9.0 tcolorpy-0.1.6 tenacity-8.5.0 threadpoolctl-3.5.0 tiktoken-0.7.0 tokenizers-0.19.1 toml-0.10.2 tomli-2.0.1 torch-2.4.0 tornado-6.4.1 tqdm-4.66.5 tqdm-multiprocess-0.0.11 transformers-4.44.2 triton-3.0.0 typepy-1.3.2 typing-extensions-4.12.2 tzdata-2024.1 urllib3-2.2.2 watchdog-4.0.2 wheel-0.44.0 word2number-1.1 xxhash-3.5.0 yarl-1.9.4 zstandard-0.23.0 zstd-1.5.5.1
2024-08-22T20:27:55.5872133Z 
2024-08-22T20:27:55.5873407Z [notice] A new release of pip is available: 23.0.1 -> 24.2
2024-08-22T20:27:55.5875020Z [notice] To update, run: pip install --upgrade pip
2024-08-22T20:27:57.2574687Z + pip3 uninstall -y triton
2024-08-22T20:27:57.6576606Z Found existing installation: triton 3.0.0
2024-08-22T20:27:57.6711972Z Uninstalling triton-3.0.0:
2024-08-22T20:27:57.6752019Z   Successfully uninstalled triton-3.0.0
2024-08-22T20:27:57.8177023Z + pip3 install --extra-index-url https://download.pytorch.org/whl/nightly/cpu torch==2.5.0.dev20240814
2024-08-22T20:27:58.2437809Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2024-08-22T20:27:58.7047138Z Collecting torch==2.5.0.dev20240814
2024-08-22T20:27:58.7131488Z   Downloading https://download.pytorch.org/whl/nightly/cpu/torch-2.5.0.dev20240814%2Bcpu-cp310-cp310-linux_x86_64.whl (173.5 MB)
2024-08-22T20:27:59.5975387Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 173.5/173.5 MB 197.5 MB/s eta 0:00:00
2024-08-22T20:27:59.8061712Z Requirement already satisfied: filelock in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from torch==2.5.0.dev20240814) (3.15.4)
2024-08-22T20:27:59.8064806Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from torch==2.5.0.dev20240814) (4.12.2)
2024-08-22T20:27:59.8068124Z Requirement already satisfied: networkx in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from torch==2.5.0.dev20240814) (3.3)
2024-08-22T20:27:59.8071673Z Requirement already satisfied: jinja2 in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from torch==2.5.0.dev20240814) (3.1.4)
2024-08-22T20:27:59.8075166Z Requirement already satisfied: fsspec in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from torch==2.5.0.dev20240814) (2024.6.1)
2024-08-22T20:27:59.9181156Z Collecting sympy==1.13.1 (from torch==2.5.0.dev20240814)
2024-08-22T20:27:59.9252619Z   Downloading https://download.pytorch.org/whl/nightly/sympy-1.13.1-py3-none-any.whl (6.2 MB)
2024-08-22T20:27:59.9620414Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.2/6.2 MB 179.1 MB/s eta 0:00:00
2024-08-22T20:27:59.9788757Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from sympy==1.13.1->torch==2.5.0.dev20240814) (1.3.0)
2024-08-22T20:28:00.0200347Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages (from jinja2->torch==2.5.0.dev20240814) (2.1.5)
2024-08-22T20:28:00.5986048Z Installing collected packages: sympy, torch
2024-08-22T20:28:00.5986836Z   Attempting uninstall: sympy
2024-08-22T20:28:00.5997842Z     Found existing installation: sympy 1.13.2
2024-08-22T20:28:00.7397783Z     Uninstalling sympy-1.13.2:
2024-08-22T20:28:00.9656919Z       Successfully uninstalled sympy-1.13.2
2024-08-22T20:28:06.0802794Z   Attempting uninstall: torch
2024-08-22T20:28:06.0814640Z     Found existing installation: torch 2.4.0
2024-08-22T20:28:06.4443884Z     Uninstalling torch-2.4.0:
2024-08-22T20:28:06.5075336Z       Successfully uninstalled torch-2.4.0
2024-08-22T20:28:16.1432588Z Successfully installed sympy-1.13.1 torch-2.5.0.dev20240814+cpu
2024-08-22T20:28:16.1724500Z 
2024-08-22T20:28:16.1725422Z [notice] A new release of pip is available: 23.0.1 -> 24.2
2024-08-22T20:28:16.1726351Z [notice] To update, run: pip install --upgrade pip
2024-08-22T20:28:16.2934558Z + pip3 install git+https://github.com/pytorch/ao.git@e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:28:16.7160765Z Collecting git+https://github.com/pytorch/ao.git@e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:28:16.7166046Z   Cloning https://github.com/pytorch/ao.git (to revision e11201a62669f582d81cdb33e031a07fb8dfc4f3) to /tmp/pip-req-build-ank_pdb5
2024-08-22T20:28:16.7195856Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/ao.git /tmp/pip-req-build-ank_pdb5
2024-08-22T20:28:17.6181744Z   Running command git rev-parse -q --verify 'sha^e11201a62669f582d81cdb33e031a07fb8dfc4f3'
2024-08-22T20:28:17.6213148Z   Running command git fetch -q https://github.com/pytorch/ao.git e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:28:17.8432590Z   Running command git checkout -q e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:28:18.1914308Z   Resolved https://github.com/pytorch/ao.git to commit e11201a62669f582d81cdb33e031a07fb8dfc4f3
2024-08-22T20:28:18.1955215Z   Preparing metadata (setup.py): started
2024-08-22T20:28:20.6962566Z   Preparing metadata (setup.py): finished with status 'done'
2024-08-22T20:28:20.7001069Z Building wheels for collected packages: torchao
2024-08-22T20:28:20.7062255Z   Building wheel for torchao (setup.py): started
2024-08-22T20:28:52.6394613Z   Building wheel for torchao (setup.py): finished with status 'done'
2024-08-22T20:28:52.6443087Z   Created wheel for torchao: filename=torchao-0.4.0+gite11201a-cp310-cp310-linux_x86_64.whl size=3666694 sha256=f3c7e388f3d5150daf18666f6a3be8f54c358b320bde2e11670a525b1d6b0aaf
2024-08-22T20:28:52.6444996Z   Stored in directory: /home/runner/.cache/pip/wheels/14/74/97/48f38f0ed345915878934030a4f26ab5c877ef47ce1b5c4c09
2024-08-22T20:28:52.6476388Z Successfully built torchao
2024-08-22T20:28:53.1764518Z Installing collected packages: torchao
2024-08-22T20:28:53.4429033Z Successfully installed torchao-0.4.0+gite11201a
2024-08-22T20:28:53.4706087Z 
2024-08-22T20:28:53.4706784Z [notice] A new release of pip is available: 23.0.1 -> 24.2
2024-08-22T20:28:53.4710370Z [notice] To update, run: pip install --upgrade pip
2024-08-22T20:28:53.8185288Z Package                   Version
2024-08-22T20:28:53.8187517Z ------------------------- ---------------------
2024-08-22T20:28:53.8190098Z absl-py                   2.1.0
2024-08-22T20:28:53.8192646Z accelerate                0.33.0
2024-08-22T20:28:53.8195451Z aiohappyeyeballs          2.4.0
2024-08-22T20:28:53.8197783Z aiohttp                   3.10.5
2024-08-22T20:28:53.8200335Z aiosignal                 1.3.1
2024-08-22T20:28:53.8202900Z altair                    5.4.0
2024-08-22T20:28:53.8205439Z async-timeout             4.0.3
2024-08-22T20:28:53.8207846Z attrs                     24.2.0
2024-08-22T20:28:53.8210065Z blinker                   1.8.2
2024-08-22T20:28:53.8212667Z blobfile                  2.1.1
2024-08-22T20:28:53.8215173Z cachetools                5.5.0
2024-08-22T20:28:53.8217672Z certifi                   2024.7.4
2024-08-22T20:28:53.8219950Z chardet                   5.2.0
2024-08-22T20:28:53.8222551Z charset-normalizer        3.3.2
2024-08-22T20:28:53.8224740Z click                     8.1.7
2024-08-22T20:28:53.8227190Z cmake                     3.30.2
2024-08-22T20:28:53.8229718Z colorama                  0.4.6
2024-08-22T20:28:53.8232226Z DataProperty              1.0.1
2024-08-22T20:28:53.8234485Z datasets                  2.21.0
2024-08-22T20:28:53.8236813Z dill                      0.3.8
2024-08-22T20:28:53.8239240Z evaluate                  0.4.2
2024-08-22T20:28:53.8241613Z filelock                  3.15.4
2024-08-22T20:28:53.8243847Z Flask                     3.0.3
2024-08-22T20:28:53.8246322Z frozenlist                1.4.1
2024-08-22T20:28:53.8248715Z fsspec                    2024.6.1
2024-08-22T20:28:53.8251239Z gguf                      0.9.1
2024-08-22T20:28:53.8253679Z gitdb                     4.0.11
2024-08-22T20:28:53.8256194Z GitPython                 3.1.43
2024-08-22T20:28:53.8258740Z huggingface-hub           0.24.6
2024-08-22T20:28:53.8260854Z idna                      3.7
2024-08-22T20:28:53.8263236Z itsdangerous              2.2.0
2024-08-22T20:28:53.8265784Z Jinja2                    3.1.4
2024-08-22T20:28:53.8268000Z joblib                    1.4.2
2024-08-22T20:28:53.8270345Z jsonlines                 4.0.0
2024-08-22T20:28:53.8273308Z jsonschema                4.23.0
2024-08-22T20:28:53.8275130Z jsonschema-specifications 2023.12.1
2024-08-22T20:28:53.8277555Z lm_eval                   0.4.2
2024-08-22T20:28:53.8280149Z lxml                      4.9.4
2024-08-22T20:28:53.8282641Z markdown-it-py            3.0.0
2024-08-22T20:28:53.8284824Z MarkupSafe                2.1.5
2024-08-22T20:28:53.8287391Z mbstrdecoder              1.1.3
2024-08-22T20:28:53.8289501Z mdurl                     0.1.2
2024-08-22T20:28:53.8292184Z more-itertools            10.4.0
2024-08-22T20:28:53.8294302Z mpmath                    1.3.0
2024-08-22T20:28:53.8296794Z multidict                 6.0.5
2024-08-22T20:28:53.8299234Z multiprocess              0.70.16
2024-08-22T20:28:53.8301615Z narwhals                  1.5.2
2024-08-22T20:28:53.8303988Z networkx                  3.3
2024-08-22T20:28:53.8306346Z ninja                     1.11.1.1
2024-08-22T20:28:53.8308678Z nltk                      3.9.1
2024-08-22T20:28:53.8311064Z numexpr                   2.10.1
2024-08-22T20:28:53.8313468Z numpy                     1.26.4
2024-08-22T20:28:53.8315987Z nvidia-cublas-cu12        12.1.3.1
2024-08-22T20:28:53.8318354Z nvidia-cuda-cupti-cu12    12.1.105
2024-08-22T20:28:53.8320754Z nvidia-cuda-nvrtc-cu12    12.1.105
2024-08-22T20:28:53.8323224Z nvidia-cuda-runtime-cu12  12.1.105
2024-08-22T20:28:53.8325556Z nvidia-cudnn-cu12         9.1.0.70
2024-08-22T20:28:53.8327950Z nvidia-cufft-cu12         11.0.2.54
2024-08-22T20:28:53.8330638Z nvidia-curand-cu12        10.3.2.106
2024-08-22T20:28:53.8333021Z nvidia-cusolver-cu12      11.4.5.107
2024-08-22T20:28:53.8335623Z nvidia-cusparse-cu12      12.1.0.106
2024-08-22T20:28:53.8337902Z nvidia-nccl-cu12          2.20.5
2024-08-22T20:28:53.8340428Z nvidia-nvjitlink-cu12     12.6.20
2024-08-22T20:28:53.8342738Z nvidia-nvtx-cu12          12.1.105
2024-08-22T20:28:53.8345052Z packaging                 24.1
2024-08-22T20:28:53.8347447Z pandas                    2.2.2
2024-08-22T20:28:53.8349832Z pathvalidate              3.2.0
2024-08-22T20:28:53.8352132Z peft                      0.12.0
2024-08-22T20:28:53.8354507Z pillow                    10.4.0
2024-08-22T20:28:53.8356991Z pip                       23.0.1
2024-08-22T20:28:53.8359237Z portalocker               2.10.1
2024-08-22T20:28:53.8361596Z protobuf                  5.27.3
2024-08-22T20:28:53.8364151Z psutil                    6.0.0
2024-08-22T20:28:53.8366229Z pyarrow                   17.0.0
2024-08-22T20:28:53.8368597Z pybind11                  2.13.5
2024-08-22T20:28:53.8371395Z pycryptodomex             3.20.0
2024-08-22T20:28:53.8373670Z pydeck                    0.9.1
2024-08-22T20:28:53.8376005Z Pygments                  2.18.0
2024-08-22T20:28:53.8378427Z pytablewriter             1.2.0
2024-08-22T20:28:53.8380937Z python-dateutil           2.9.0.post0
2024-08-22T20:28:53.8383108Z pytz                      2024.1
2024-08-22T20:28:53.8385512Z PyYAML                    6.0.2
2024-08-22T20:28:53.8387889Z referencing               0.35.1
2024-08-22T20:28:53.8390157Z regex                     2024.7.24
2024-08-22T20:28:53.8392633Z requests                  2.32.3
2024-08-22T20:28:53.8394864Z rich                      13.7.1
2024-08-22T20:28:53.8397240Z rouge_score               0.1.2
2024-08-22T20:28:53.8399683Z rpds-py                   0.20.0
2024-08-22T20:28:53.8401949Z sacrebleu                 2.4.3
2024-08-22T20:28:53.8404333Z safetensors               0.4.4
2024-08-22T20:28:53.8406759Z scikit-learn              1.5.1
2024-08-22T20:28:53.8409021Z scipy                     1.14.1
2024-08-22T20:28:53.8411672Z sentencepiece             0.2.0
2024-08-22T20:28:53.8414131Z setuptools                65.5.0
2024-08-22T20:28:53.8416361Z six                       1.16.0
2024-08-22T20:28:53.8418854Z smmap                     5.0.1
2024-08-22T20:28:53.8421086Z snakeviz                  2.2.0
2024-08-22T20:28:53.8423353Z sqlitedict                2.1.0
2024-08-22T20:28:53.8425851Z streamlit                 1.37.1
2024-08-22T20:28:53.8428105Z sympy                     1.13.1
2024-08-22T20:28:53.8430649Z tabledata                 1.3.3
2024-08-22T20:28:53.8432882Z tabulate                  0.9.0
2024-08-22T20:28:53.8435184Z tcolorpy                  0.1.6
2024-08-22T20:28:53.8437565Z tenacity                  8.5.0
2024-08-22T20:28:53.8439923Z threadpoolctl             3.5.0
2024-08-22T20:28:53.8442180Z tiktoken                  0.7.0
2024-08-22T20:28:53.8444589Z tokenizers                0.19.1
2024-08-22T20:28:53.8447051Z toml                      0.10.2
2024-08-22T20:28:53.8449241Z tomli                     2.0.1
2024-08-22T20:28:53.8452067Z torch                     2.5.0.dev20240814+cpu
2024-08-22T20:28:53.8454584Z torchao                   0.4.0+gite11201a
2024-08-22T20:28:53.8456742Z tornado                   6.4.1
2024-08-22T20:28:53.8459156Z tqdm                      4.66.5
2024-08-22T20:28:53.8461784Z tqdm-multiprocess         0.0.11
2024-08-22T20:28:53.8463876Z transformers              4.44.2
2024-08-22T20:28:53.8466237Z typepy                    1.3.2
2024-08-22T20:28:53.8468776Z typing_extensions         4.12.2
2024-08-22T20:28:53.8470945Z tzdata                    2024.1
2024-08-22T20:28:53.8473274Z urllib3                   2.2.2
2024-08-22T20:28:53.8475810Z watchdog                  4.0.2
2024-08-22T20:28:53.8478132Z Werkzeug                  3.0.4
2024-08-22T20:28:53.8480354Z wheel                     0.44.0
2024-08-22T20:28:53.8482879Z word2number               1.1
2024-08-22T20:28:53.8485265Z xxhash                    3.5.0
2024-08-22T20:28:53.8487551Z yarl                      1.9.4
2024-08-22T20:28:53.8493762Z zstandard                 0.23.0
2024-08-22T20:28:53.8506151Z zstd                      1.5.5.1
2024-08-22T20:28:55.0472796Z torch: ('2.5.0.dev20240814+cpu', '3a023a67c47bcde45538c9991e332d21ac548e46')
2024-08-22T20:28:55.2798615Z ##[group]Run bash ${TORCHCHAT_ROOT}/.ci/scripts/wget_checkpoint.sh tinyllamas/stories15M "https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin"
2024-08-22T20:28:55.2801402Z bash ${TORCHCHAT_ROOT}/.ci/scripts/wget_checkpoint.sh tinyllamas/stories15M "https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin"
2024-08-22T20:28:55.2869566Z shell: /usr/bin/bash -e {0}
2024-08-22T20:28:55.2869956Z env:
2024-08-22T20:28:55.2870410Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:28:55.2870949Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:28:55.2871443Z   pythonLocation: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:55.2872275Z   PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib/pkgconfig
2024-08-22T20:28:55.2872873Z   Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:55.2873527Z   Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:55.2874076Z   Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:55.2874654Z   LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib
2024-08-22T20:28:55.2875197Z ##[endgroup]
2024-08-22T20:28:55.2974014Z + MODEL_REPO=tinyllamas/stories15M
2024-08-22T20:28:55.2976628Z + RESOURCES_STRING=https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt,https://github.com/karpathy/llama2.c/raw/master/tokenizer.model,https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:28:55.2978188Z + CHECKPOINT_NAME=stories15M
2024-08-22T20:28:55.2978892Z + mkdir -p checkpoints/tinyllamas/stories15M
2024-08-22T20:28:55.2990563Z + pushd checkpoints/tinyllamas/stories15M
2024-08-22T20:28:55.2991348Z + IFS=,
2024-08-22T20:28:55.2991880Z + for resource in $RESOURCES_STRING
2024-08-22T20:28:55.2993210Z + echo 'Downloading: https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt'
2024-08-22T20:28:55.2994386Z + wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-08-22T20:28:55.2995238Z ~/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M ~/work/torchchat/torchchat
2024-08-22T20:28:55.2996197Z Downloading: https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-08-22T20:28:55.3718466Z --2024-08-22 20:28:55--  https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
2024-08-22T20:28:55.4425783Z Resolving huggingface.co (huggingface.co)... 3.163.189.37, 3.163.189.114, 3.163.189.74, ...
2024-08-22T20:28:55.4470980Z Connecting to huggingface.co (huggingface.co)|3.163.189.37|:443... connected.
2024-08-22T20:28:55.5412590Z HTTP request sent, awaiting response... 302 Found
2024-08-22T20:28:55.5423662Z Location: https://cdn-lfs.huggingface.co/repos/88/4b/884bade32e5ee32eea725c5087af1358179a1bea94a4f6abc3c0470c9610ac38/3da00c0fef684f3f83b457736837c46ab55e92a26662b61d6104de2d271c708d?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27stories15M.pt%3B+filename%3D%22stories15M.pt%22%3B&Expires=1724617637&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyNDYxNzYzN319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy84OC80Yi84ODRiYWRlMzJlNWVlMzJlZWE3MjVjNTA4N2FmMTM1ODE3OWExYmVhOTRhNGY2YWJjM2MwNDcwYzk2MTBhYzM4LzNkYTAwYzBmZWY2ODRmM2Y4M2I0NTc3MzY4MzdjNDZhYjU1ZTkyYTI2NjYyYjYxZDYxMDRkZTJkMjcxYzcwOGQ%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=MWBX5zWEd1nFgtuZ5d78OSdSsfKDxL9OSSdVny-VSBvxHoHINPEsNjLon-4Lw5X6HxP0qiqNnDzGFBj%7ET5D6LjaBE%7ElyqxoaKZ93ztR4cVdOneu4NfhSwV4nMX0Qnt1SauIwV7O2KD%7EI9dX%7EuIFd0IsmiA1RfoACqVRxatJ9Xfv5OEa7luW0%7E2a3hs9qvlwdi5hYrZ7lvagd3AESrrvIhJ3Djt8dzvLSeGypAMbP2o-rDeCsfCQykxMykA5bJ1lV5uCnOSjvwV2-ip5yzlxK49twT83B2usO5uT6U6pgFXX4lfaSZCeZZ1u7fsRJxIKriOzOpTPHM2S5feI9IcbO-A__&Key-Pair-Id=K3ESJI6DHPFC7 [following]
2024-08-22T20:28:55.5440639Z --2024-08-22 20:28:55--  https://cdn-lfs.huggingface.co/repos/88/4b/884bade32e5ee32eea725c5087af1358179a1bea94a4f6abc3c0470c9610ac38/3da00c0fef684f3f83b457736837c46ab55e92a26662b61d6104de2d271c708d?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27stories15M.pt%3B+filename%3D%22stories15M.pt%22%3B&Expires=1724617637&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyNDYxNzYzN319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy84OC80Yi84ODRiYWRlMzJlNWVlMzJlZWE3MjVjNTA4N2FmMTM1ODE3OWExYmVhOTRhNGY2YWJjM2MwNDcwYzk2MTBhYzM4LzNkYTAwYzBmZWY2ODRmM2Y4M2I0NTc3MzY4MzdjNDZhYjU1ZTkyYTI2NjYyYjYxZDYxMDRkZTJkMjcxYzcwOGQ%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=MWBX5zWEd1nFgtuZ5d78OSdSsfKDxL9OSSdVny-VSBvxHoHINPEsNjLon-4Lw5X6HxP0qiqNnDzGFBj%7ET5D6LjaBE%7ElyqxoaKZ93ztR4cVdOneu4NfhSwV4nMX0Qnt1SauIwV7O2KD%7EI9dX%7EuIFd0IsmiA1RfoACqVRxatJ9Xfv5OEa7luW0%7E2a3hs9qvlwdi5hYrZ7lvagd3AESrrvIhJ3Djt8dzvLSeGypAMbP2o-rDeCsfCQykxMykA5bJ1lV5uCnOSjvwV2-ip5yzlxK49twT83B2usO5uT6U6pgFXX4lfaSZCeZZ1u7fsRJxIKriOzOpTPHM2S5feI9IcbO-A__&Key-Pair-Id=K3ESJI6DHPFC7
2024-08-22T20:28:55.6148484Z Resolving cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)... 108.138.94.14, 108.138.94.25, 108.138.94.122, ...
2024-08-22T20:28:55.6190528Z Connecting to cdn-lfs.huggingface.co (cdn-lfs.huggingface.co)|108.138.94.14|:443... connected.
2024-08-22T20:28:55.6347519Z HTTP request sent, awaiting response... 200 OK
2024-08-22T20:28:55.6348974Z Length: 60789090 (58M) [binary/octet-stream]
2024-08-22T20:28:55.6349710Z Saving to: ‘stories15M.pt’
2024-08-22T20:28:55.6350240Z 
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2024-08-22T20:28:55.7082817Z  12550K .......... .......... .......... .......... .......... 21%  273M 0s
2024-08-22T20:28:55.7084759Z  12600K .......... .......... .......... .......... .......... 21%  235M 0s
2024-08-22T20:28:55.7086514Z  12650K .......... .......... .......... .......... .......... 21%  264M 0s
2024-08-22T20:28:55.7088072Z  12700K .......... .......... .......... .......... .......... 21%  288M 0s
2024-08-22T20:28:55.7090427Z  12750K .......... .......... .......... .......... .......... 21%  291M 0s
2024-08-22T20:28:55.7091798Z  12800K .......... .......... .......... .......... .......... 21%  233M 0s
2024-08-22T20:28:55.7093664Z  12850K .......... .......... .......... .......... .......... 21%  297M 0s
2024-08-22T20:28:55.7095229Z  12900K .......... .......... .......... .......... .......... 21%  303M 0s
2024-08-22T20:28:55.7097099Z  12950K .......... .......... .......... .......... .......... 21%  299M 0s
2024-08-22T20:28:55.7098731Z  13000K .......... .......... .......... .......... .......... 21%  247M 0s
2024-08-22T20:28:55.7100448Z  13050K .......... .......... .......... .......... .......... 22%  298M 0s
2024-08-22T20:28:55.7102014Z  13100K .......... .......... .......... .......... .......... 22%  302M 0s
2024-08-22T20:28:55.7127123Z  13150K .......... .......... .......... .......... .......... 22%  293M 0s
2024-08-22T20:28:55.7128238Z  13200K .......... .......... .......... .......... .......... 22%  241M 0s
2024-08-22T20:28:55.7128966Z  13250K .......... .......... .......... .......... .......... 22%  314M 0s
2024-08-22T20:28:55.7129649Z  13300K .......... .......... .......... .......... .......... 22%  322M 0s
2024-08-22T20:28:55.7130832Z  13350K .......... .......... .......... .......... .......... 22%  321M 0s
2024-08-22T20:28:55.7131630Z  13400K .......... .......... .......... .......... .......... 22%  277M 0s
2024-08-22T20:28:55.7132536Z  13450K .......... .......... .......... .......... .......... 22%  315M 0s
2024-08-22T20:28:55.7133289Z  13500K .......... .......... .......... .......... .......... 22%  312M 0s
2024-08-22T20:28:55.7134063Z  13550K .......... .......... .......... .......... .......... 22%  288M 0s
2024-08-22T20:28:55.7134781Z  13600K .......... .......... .......... .......... .......... 22%  338M 0s
2024-08-22T20:28:55.7135555Z  13650K .......... .......... .......... .......... .......... 23%  331M 0s
2024-08-22T20:28:55.7136183Z  13700K .......... .......... .......... .......... .......... 23%  326M 0s
2024-08-22T20:28:55.7136936Z  13750K .......... .......... .......... .......... .......... 23%  266M 0s
2024-08-22T20:28:55.7137629Z  13800K .......... .......... .......... .......... .......... 23%  325M 0s
2024-08-22T20:28:55.7138231Z  13850K .......... .......... .......... .......... .......... 23%  274M 0s
2024-08-22T20:28:55.7138985Z  13900K .......... .......... .......... .......... .......... 23%  155M 0s
2024-08-22T20:28:55.7139657Z  13950K .......... .......... .......... .......... .......... 23%  218M 0s
2024-08-22T20:28:55.7140353Z  14000K .......... .......... .......... .......... .......... 23%  196M 0s
2024-08-22T20:28:55.7140926Z  14050K .......... .......... .......... .......... .......... 23%  247M 0s
2024-08-22T20:28:55.7141583Z  14100K .......... .......... .......... .......... .......... 23%  247M 0s
2024-08-22T20:28:55.7142321Z  14150K .......... .......... .......... .......... .......... 23%  229M 0s
2024-08-22T20:28:55.7142980Z  14200K .......... .......... .......... .......... .......... 24%  292M 0s
2024-08-22T20:28:55.7143969Z  14250K .......... .......... .......... .......... .......... 24%  278M 0s
2024-08-22T20:28:55.7146145Z  14300K .......... .......... .......... .......... .......... 24%  260M 0s
2024-08-22T20:28:55.7147847Z  14350K .......... .......... .......... .......... .......... 24%  243M 0s
2024-08-22T20:28:55.7149370Z  14400K .......... .......... .......... .......... .......... 24%  299M 0s
2024-08-22T20:28:55.7150915Z  14450K .......... .......... .......... .......... .......... 24%  298M 0s
2024-08-22T20:28:55.7152657Z  14500K .......... .......... .......... .......... .......... 24%  302M 0s
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2024-08-22T20:28:55.7156228Z  14600K .......... .......... .......... .......... .......... 24%  294M 0s
2024-08-22T20:28:55.7157880Z  14650K .......... .......... .......... .......... .......... 24%  294M 0s
2024-08-22T20:28:55.7159751Z  14700K .......... .......... .......... .......... .......... 24%  300M 0s
2024-08-22T20:28:55.7161426Z  14750K .......... .......... .......... .......... .......... 24%  263M 0s
2024-08-22T20:28:55.7163251Z  14800K .......... .......... .......... .......... .......... 25%  286M 0s
2024-08-22T20:28:55.7164723Z  14850K .......... .......... .......... .......... .......... 25%  295M 0s
2024-08-22T20:28:55.7166801Z  14900K .......... .......... .......... .......... .......... 25%  284M 0s
2024-08-22T20:28:55.7168454Z  14950K .......... .......... .......... .......... .......... 25%  245M 0s
2024-08-22T20:28:55.7170351Z  15000K .......... .......... .......... .......... .......... 25%  301M 0s
2024-08-22T20:28:55.7172335Z  15050K .......... .......... .......... .......... .......... 25%  229M 0s
2024-08-22T20:28:55.7174044Z  15100K .......... .......... .......... .......... .......... 25%  298M 0s
2024-08-22T20:28:55.7175661Z  15150K .......... .......... .......... .......... .......... 25%  264M 0s
2024-08-22T20:28:55.7177565Z  15200K .......... .......... .......... .......... .......... 25%  266M 0s
2024-08-22T20:28:55.7179131Z  15250K .......... .......... .......... .......... .......... 25%  299M 0s
2024-08-22T20:28:55.7181303Z  15300K .......... .......... .......... .......... .......... 25%  288M 0s
2024-08-22T20:28:55.7183109Z  15350K .......... .......... .......... .......... .......... 25%  223M 0s
2024-08-22T20:28:55.7184645Z  15400K .......... .......... .......... .......... .......... 26%  297M 0s
2024-08-22T20:28:55.7186615Z  15450K .......... .......... .......... .......... .......... 26%  283M 0s
2024-08-22T20:28:55.7188564Z  15500K .......... .......... .......... .......... .......... 26%  272M 0s
2024-08-22T20:28:55.7190162Z  15550K .......... .......... .......... .......... .......... 26%  252M 0s
2024-08-22T20:28:55.7192100Z  15600K .......... .......... .......... .......... .......... 26%  255M 0s
2024-08-22T20:28:55.7193702Z  15650K .......... .......... .......... .......... .......... 26%  292M 0s
2024-08-22T20:28:55.7195952Z  15700K .......... .......... .......... .......... .......... 26%  266M 0s
2024-08-22T20:28:55.7197638Z  15750K .......... .......... .......... .......... .......... 26%  235M 0s
2024-08-22T20:28:55.7199384Z  15800K .......... .......... .......... .......... .......... 26%  283M 0s
2024-08-22T20:28:55.7201259Z  15850K .......... .......... .......... .......... .......... 26%  255M 0s
2024-08-22T20:28:55.7203212Z  15900K .......... .......... .......... .......... .......... 26%  268M 0s
2024-08-22T20:28:55.7204889Z  15950K .......... .......... .......... .......... .......... 26%  268M 0s
2024-08-22T20:28:55.7206686Z  16000K .......... .......... .......... .......... .......... 27%  272M 0s
2024-08-22T20:28:55.7208684Z  16050K .......... .......... .......... .......... .......... 27%  257M 0s
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2024-08-22T20:28:55.7221989Z  16400K .......... .......... .......... .......... .......... 27%  246M 0s
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2024-08-22T20:28:55.7406225Z  21400K .......... .......... .......... .......... .......... 36%  244M 0s
2024-08-22T20:28:55.7407982Z  21450K .......... .......... .......... .......... .......... 36%  284M 0s
2024-08-22T20:28:55.7409798Z  21500K .......... .......... .......... .......... .......... 36%  278M 0s
2024-08-22T20:28:55.7412111Z  21550K .......... .......... .......... .......... .......... 36%  228M 0s
2024-08-22T20:28:55.7414168Z  21600K .......... .......... .......... .......... .......... 36%  213M 0s
2024-08-22T20:28:55.7416043Z  21650K .......... .......... .......... .......... .......... 36%  269M 0s
2024-08-22T20:28:55.7417705Z  21700K .......... .......... .......... .......... .......... 36%  282M 0s
2024-08-22T20:28:55.7419529Z  21750K .......... .......... .......... .......... .......... 36%  273M 0s
2024-08-22T20:28:55.7422211Z  21800K .......... .......... .......... .......... .......... 36%  189M 0s
2024-08-22T20:28:55.7424352Z  21850K .......... .......... .......... .......... .......... 36%  218M 0s
2024-08-22T20:28:55.7426297Z  21900K .......... .......... .......... .......... .......... 36%  254M 0s
2024-08-22T20:28:55.7428241Z  21950K .......... .......... .......... .......... .......... 37%  246M 0s
2024-08-22T20:28:55.7430588Z  22000K .......... .......... .......... .......... .......... 37%  209M 0s
2024-08-22T20:28:55.7432675Z  22050K .......... .......... .......... .......... .......... 37%  243M 0s
2024-08-22T20:28:55.7434577Z  22100K .......... .......... .......... .......... .......... 37%  249M 0s
2024-08-22T20:28:55.7436964Z  22150K .......... .......... .......... .......... .......... 37%  224M 0s
2024-08-22T20:28:55.7439006Z  22200K .......... .......... .......... .......... .......... 37%  227M 0s
2024-08-22T20:28:55.7441017Z  22250K .......... .......... .......... .......... .......... 37%  232M 0s
2024-08-22T20:28:55.7442902Z  22300K .......... .......... .......... .......... .......... 37%  253M 0s
2024-08-22T20:28:55.7445737Z  22350K .......... .......... .......... .......... .......... 37%  224M 0s
2024-08-22T20:28:55.7447685Z  22400K .......... .......... .......... .......... .......... 37%  193M 0s
2024-08-22T20:28:55.7449740Z  22450K .......... .......... .......... .......... .......... 37%  233M 0s
2024-08-22T20:28:55.7452099Z  22500K .......... .......... .......... .......... .......... 37%  212M 0s
2024-08-22T20:28:55.7454250Z  22550K .......... .......... .......... .......... .......... 38%  245M 0s
2024-08-22T20:28:55.7456654Z  22600K .......... .......... .......... .......... .......... 38%  201M 0s
2024-08-22T20:28:55.7458566Z  22650K .......... .......... .......... .......... .......... 38%  237M 0s
2024-08-22T20:28:55.7460711Z  22700K .......... .......... .......... .......... .......... 38%  223M 0s
2024-08-22T20:28:55.7463221Z  22750K .......... .......... .......... .......... .......... 38%  226M 0s
2024-08-22T20:28:55.7465285Z  22800K .......... .......... .......... .......... .......... 38%  206M 0s
2024-08-22T20:28:55.7467522Z  22850K .......... .......... .......... .......... .......... 38%  212M 0s
2024-08-22T20:28:55.7469680Z  22900K .......... .......... .......... .......... .......... 38%  234M 0s
2024-08-22T20:28:55.7471862Z  22950K .......... .......... .......... .......... .......... 38%  243M 0s
2024-08-22T20:28:55.7473997Z  23000K .......... .......... .......... .......... .......... 38%  227M 0s
2024-08-22T20:28:55.7476660Z  23050K .......... .......... .......... .......... .......... 38%  197M 0s
2024-08-22T20:28:55.7479102Z  23100K .......... .......... .......... .......... .......... 38%  200M 0s
2024-08-22T20:28:55.7481915Z  23150K .......... .......... .......... .......... .......... 39%  192M 0s
2024-08-22T20:28:55.7484367Z  23200K .......... .......... .......... .......... .......... 39%  174M 0s
2024-08-22T20:28:55.7486328Z  23250K .......... .......... .......... .......... .......... 39%  243M 0s
2024-08-22T20:28:55.7488213Z  23300K .......... .......... .......... .......... .......... 39%  264M 0s
2024-08-22T20:28:55.7489983Z  23350K .......... .......... .......... .......... .......... 39%  254M 0s
2024-08-22T20:28:55.7491793Z  23400K .......... .......... .......... .......... .......... 39%  258M 0s
2024-08-22T20:28:55.7493663Z  23450K .......... .......... .......... .......... .......... 39%  279M 0s
2024-08-22T20:28:55.7495598Z  23500K .......... .......... .......... .......... .......... 39%  282M 0s
2024-08-22T20:28:55.7497422Z  23550K .......... .......... .......... .......... .......... 39%  234M 0s
2024-08-22T20:28:55.7499241Z  23600K .......... .......... .......... .......... .......... 39%  271M 0s
2024-08-22T20:28:55.7500904Z  23650K .......... .......... .......... .......... .......... 39%  293M 0s
2024-08-22T20:28:55.7502712Z  23700K .......... .......... .......... .......... .......... 40%  278M 0s
2024-08-22T20:28:55.7504569Z  23750K .......... .......... .......... .......... .......... 40%  249M 0s
2024-08-22T20:28:55.7506576Z  23800K .......... .......... .......... .......... .......... 40%  267M 0s
2024-08-22T20:28:55.7508123Z  23850K .......... .......... .......... .......... .......... 40%  278M 0s
2024-08-22T20:28:55.7509956Z  23900K .......... .......... .......... .......... .......... 40%  283M 0s
2024-08-22T20:28:55.7511972Z  23950K .......... .......... .......... .......... .......... 40%  234M 0s
2024-08-22T20:28:55.7513524Z  24000K .......... .......... .......... .......... .......... 40%  301M 0s
2024-08-22T20:28:55.7515455Z  24050K .......... .......... .......... .......... .......... 40%  281M 0s
2024-08-22T20:28:55.7517086Z  24100K .......... .......... .......... .......... .......... 40%  278M 0s
2024-08-22T20:28:55.7519077Z  24150K .......... .......... .......... .......... .......... 40%  257M 0s
2024-08-22T20:28:55.7520582Z  24200K .......... .......... .......... .......... .......... 40%  292M 0s
2024-08-22T20:28:55.7522304Z  24250K .......... .......... .......... .......... .......... 40%  294M 0s
2024-08-22T20:28:55.7524125Z  24300K .......... .......... .......... .......... .......... 41%  282M 0s
2024-08-22T20:28:55.7526086Z  24350K .......... .......... .......... .......... .......... 41%  243M 0s
2024-08-22T20:28:55.7527700Z  24400K .......... .......... .......... .......... .......... 41%  285M 0s
2024-08-22T20:28:55.7529734Z  24450K .......... .......... .......... .......... .......... 41%  277M 0s
2024-08-22T20:28:55.7531794Z  24500K .......... .......... .......... .......... .......... 41%  242M 0s
2024-08-22T20:28:55.7533702Z  24550K .......... .......... .......... .......... .......... 41%  241M 0s
2024-08-22T20:28:55.7535229Z  24600K .......... .......... .......... .......... .......... 41%  287M 0s
2024-08-22T20:28:55.7537093Z  24650K .......... .......... .......... .......... .......... 41%  302M 0s
2024-08-22T20:28:55.7538931Z  24700K .......... .......... .......... .......... .......... 41%  298M 0s
2024-08-22T20:28:55.7540533Z  24750K .......... .......... .......... .......... .......... 41%  234M 0s
2024-08-22T20:28:55.7542483Z  24800K .......... .......... .......... .......... .......... 41%  280M 0s
2024-08-22T20:28:55.7544308Z  24850K .......... .......... .......... .......... .......... 41%  265M 0s
2024-08-22T20:28:55.7546288Z  24900K .......... .......... .......... .......... .......... 42%  272M 0s
2024-08-22T20:28:55.7547876Z  24950K .......... .......... .......... .......... .......... 42%  257M 0s
2024-08-22T20:28:55.7549841Z  25000K .......... .......... .......... .......... .......... 42%  266M 0s
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2024-08-22T20:28:55.7865606Z  30350K .......... .......... .......... .......... .......... 51%  319M 0s
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2024-08-22T20:28:55.8062184Z  39300K .......... .......... .......... .......... .......... 66%  257M 0s
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2024-08-22T20:28:55.8065982Z  39400K .......... .......... .......... .......... .......... 66%  248M 0s
2024-08-22T20:28:55.8068092Z  39450K .......... .......... .......... .......... .......... 66%  218M 0s
2024-08-22T20:28:55.8070116Z  39500K .......... .......... .......... .......... .......... 66%  282M 0s
2024-08-22T20:28:55.8071547Z  39550K .......... .......... .......... .......... .......... 66%  273M 0s
2024-08-22T20:28:55.8073834Z  39600K .......... .......... .......... .......... .......... 66%  287M 0s
2024-08-22T20:28:55.8075375Z  39650K .......... .......... .......... .......... .......... 66%  250M 0s
2024-08-22T20:28:55.8077137Z  39700K .......... .......... .......... .......... .......... 66%  273M 0s
2024-08-22T20:28:55.8078912Z  39750K .......... .......... .......... .......... .......... 67%  267M 0s
2024-08-22T20:28:55.8080977Z  39800K .......... .......... .......... .......... .......... 67%  273M 0s
2024-08-22T20:28:55.8082614Z  39850K .......... .......... .......... .......... .......... 67%  249M 0s
2024-08-22T20:28:55.8084182Z  39900K .......... .......... .......... .......... .......... 67%  294M 0s
2024-08-22T20:28:55.8086229Z  39950K .......... .......... .......... .......... .......... 67%  291M 0s
2024-08-22T20:28:55.8088865Z  40000K .......... .......... .......... .......... .......... 67%  236M 0s
2024-08-22T20:28:55.8090581Z  40050K .......... .......... .......... .......... .......... 67%  207M 0s
2024-08-22T20:28:55.8092581Z  40100K .......... .......... .......... .......... .......... 67%  241M 0s
2024-08-22T20:28:55.8094865Z  40150K .......... .......... .......... .......... .......... 67%  266M 0s
2024-08-22T20:28:55.8096352Z  40200K .......... .......... .......... .......... .......... 67%  261M 0s
2024-08-22T20:28:55.8098461Z  40250K .......... .......... .......... .......... .......... 67%  238M 0s
2024-08-22T20:28:55.8100030Z  40300K .......... .......... .......... .......... .......... 67%  270M 0s
2024-08-22T20:28:55.8101999Z  40350K .......... .......... .......... .......... .......... 68%  261M 0s
2024-08-22T20:28:55.8104040Z  40400K .......... .......... .......... .......... .......... 68%  270M 0s
2024-08-22T20:28:55.8106290Z  40450K .......... .......... .......... .......... .......... 68%  228M 0s
2024-08-22T20:28:55.8107599Z  40500K .......... .......... .......... .......... .......... 68%  261M 0s
2024-08-22T20:28:55.8109446Z  40550K .......... .......... .......... .......... .......... 68%  282M 0s
2024-08-22T20:28:55.8111741Z  40600K .......... .......... .......... .......... .......... 68%  242M 0s
2024-08-22T20:28:55.8113312Z  40650K .......... .......... .......... .......... .......... 68%  281M 0s
2024-08-22T20:28:55.8115281Z  40700K .......... .......... .......... .......... .......... 68%  261M 0s
2024-08-22T20:28:55.8117097Z  40750K .......... .......... .......... .......... .......... 68%  254M 0s
2024-08-22T20:28:55.8119314Z  40800K .......... .......... .......... .......... .......... 68%  236M 0s
2024-08-22T20:28:55.8121007Z  40850K .......... .......... .......... .......... .......... 68%  261M 0s
2024-08-22T20:28:55.8122907Z  40900K .......... .......... .......... .......... .......... 68%  257M 0s
2024-08-22T20:28:55.8124567Z  40950K .......... .......... .......... .......... .......... 69%  281M 0s
2024-08-22T20:28:55.8126560Z  41000K .......... .......... .......... .......... .......... 69%  240M 0s
2024-08-22T20:28:55.8128951Z  41050K .......... .......... .......... .......... .......... 69%  262M 0s
2024-08-22T20:28:55.8130061Z  41100K .......... .......... .......... .......... .......... 69%  285M 0s
2024-08-22T20:28:55.8132251Z  41150K .......... .......... .......... .......... .......... 69%  250M 0s
2024-08-22T20:28:55.8134368Z  41200K .......... .......... .......... .......... .......... 69%  230M 0s
2024-08-22T20:28:55.8136046Z  41250K .......... .......... .......... .......... .......... 69%  268M 0s
2024-08-22T20:28:55.8137592Z  41300K .......... .......... .......... .......... .......... 69%  296M 0s
2024-08-22T20:28:55.8139564Z  41350K .......... .......... .......... .......... .......... 69%  273M 0s
2024-08-22T20:28:55.8141546Z  41400K .......... .......... .......... .......... .......... 69%  240M 0s
2024-08-22T20:28:55.8143247Z  41450K .......... .......... .......... .......... .......... 69%  281M 0s
2024-08-22T20:28:55.8145241Z  41500K .......... .......... .......... .......... .......... 69%  288M 0s
2024-08-22T20:28:55.8146876Z  41550K .......... .......... .......... .......... .......... 70%  272M 0s
2024-08-22T20:28:55.8148766Z  41600K .......... .......... .......... .......... .......... 70%  241M 0s
2024-08-22T20:28:55.8150681Z  41650K .......... .......... .......... .......... .......... 70%  273M 0s
2024-08-22T20:28:55.8152536Z  41700K .......... .......... .......... .......... .......... 70%  272M 0s
2024-08-22T20:28:55.8154533Z  41750K .......... .......... .......... .......... .......... 70%  258M 0s
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2024-08-22T20:28:55.8158231Z  41850K .......... .......... .......... .......... .......... 70%  252M 0s
2024-08-22T20:28:55.8160040Z  41900K .......... .......... .......... .......... .......... 70%  266M 0s
2024-08-22T20:28:55.8162124Z  41950K .......... .......... .......... .......... .......... 70%  284M 0s
2024-08-22T20:28:55.8163952Z  42000K .......... .......... .......... .......... .......... 70%  229M 0s
2024-08-22T20:28:55.8165614Z  42050K .......... .......... .......... .......... .......... 70%  281M 0s
2024-08-22T20:28:55.8167512Z  42100K .......... .......... .......... .......... .......... 71%  281M 0s
2024-08-22T20:28:55.8169363Z  42150K .......... .......... .......... .......... .......... 71%  277M 0s
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2024-08-22T20:28:55.8173046Z  42250K .......... .......... .......... .......... .......... 71%  278M 0s
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2024-08-22T20:28:55.8178187Z  42400K .......... .......... .......... .......... .......... 71%  254M 0s
2024-08-22T20:28:55.8180008Z  42450K .......... .......... .......... .......... .......... 71%  268M 0s
2024-08-22T20:28:55.8181681Z  42500K .......... .......... .......... .......... .......... 71%  292M 0s
2024-08-22T20:28:55.8184127Z  42550K .......... .......... .......... .......... .......... 71%  288M 0s
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2024-08-22T20:28:55.8187154Z  42650K .......... .......... .......... .......... .......... 71%  273M 0s
2024-08-22T20:28:55.8189391Z  42700K .......... .......... .......... .......... .......... 72%  273M 0s
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2024-08-22T20:28:55.8423147Z  48250K .......... .......... .......... .......... .......... 81%  200M 0s
2024-08-22T20:28:55.8425270Z  48300K .......... .......... .......... .......... .......... 81%  226M 0s
2024-08-22T20:28:55.8427346Z  48350K .......... .......... .......... .......... .......... 81%  240M 0s
2024-08-22T20:28:55.8429416Z  48400K .......... .......... .......... .......... .......... 81%  232M 0s
2024-08-22T20:28:55.8431577Z  48450K .......... .......... .......... .......... .......... 81%  225M 0s
2024-08-22T20:28:55.8433560Z  48500K .......... .......... .......... .......... .......... 81%  243M 0s
2024-08-22T20:28:55.8435772Z  48550K .......... .......... .......... .......... .......... 81%  226M 0s
2024-08-22T20:28:55.8437996Z  48600K .......... .......... .......... .......... .......... 81%  227M 0s
2024-08-22T20:28:55.8440299Z  48650K .......... .......... .......... .......... .......... 82%  202M 0s
2024-08-22T20:28:55.8442404Z  48700K .......... .......... .......... .......... .......... 82%  242M 0s
2024-08-22T20:28:55.8444264Z  48750K .......... .......... .......... .......... .......... 82%  243M 0s
2024-08-22T20:28:55.8446431Z  48800K .......... .......... .......... .......... .......... 82%  250M 0s
2024-08-22T20:28:55.8448609Z  48850K .......... .......... .......... .......... .......... 82%  209M 0s
2024-08-22T20:28:55.8450759Z  48900K .......... .......... .......... .......... .......... 82%  252M 0s
2024-08-22T20:28:55.8452922Z  48950K .......... .......... .......... .......... .......... 82%  207M 0s
2024-08-22T20:28:55.8455156Z  49000K .......... .......... .......... .......... .......... 82%  222M 0s
2024-08-22T20:28:55.8457863Z  49050K .......... .......... .......... .......... .......... 82%  194M 0s
2024-08-22T20:28:55.8460069Z  49100K .......... .......... .......... .......... .......... 82%  227M 0s
2024-08-22T20:28:55.8462078Z  49150K .......... .......... .......... .......... .......... 82%  220M 0s
2024-08-22T20:28:55.8464418Z  49200K .......... .......... .......... .......... .......... 82%  242M 0s
2024-08-22T20:28:55.8466366Z  49250K .......... .......... .......... .......... .......... 83%  216M 0s
2024-08-22T20:28:55.8468519Z  49300K .......... .......... .......... .......... .......... 83%  226M 0s
2024-08-22T20:28:55.8470559Z  49350K .......... .......... .......... .......... .......... 83%  241M 0s
2024-08-22T20:28:55.8473161Z  49400K .......... .......... .......... .......... .......... 83%  221M 0s
2024-08-22T20:28:55.8475254Z  49450K .......... .......... .......... .......... .......... 83%  200M 0s
2024-08-22T20:28:55.8477281Z  49500K .......... .......... .......... .......... .......... 83%  235M 0s
2024-08-22T20:28:55.8479404Z  49550K .......... .......... .......... .......... .......... 83%  237M 0s
2024-08-22T20:28:55.8481619Z  49600K .......... .......... .......... .......... .......... 83%  232M 0s
2024-08-22T20:28:55.8483945Z  49650K .......... .......... .......... .......... .......... 83%  190M 0s
2024-08-22T20:28:55.8486168Z  49700K .......... .......... .......... .......... .......... 83%  226M 0s
2024-08-22T20:28:55.8488121Z  49750K .......... .......... .......... .......... .......... 83%  236M 0s
2024-08-22T20:28:55.8490864Z  49800K .......... .......... .......... .......... .......... 83%  246M 0s
2024-08-22T20:28:55.8492993Z  49850K .......... .......... .......... .......... .......... 84%  183M 0s
2024-08-22T20:28:55.8495257Z  49900K .......... .......... .......... .......... .......... 84%  235M 0s
2024-08-22T20:28:55.8497017Z  49950K .......... .......... .......... .......... .......... 84%  237M 0s
2024-08-22T20:28:55.8499354Z  50000K .......... .......... .......... .......... .......... 84%  234M 0s
2024-08-22T20:28:55.8501721Z  50050K .......... .......... .......... .......... .......... 84%  182M 0s
2024-08-22T20:28:55.8503815Z  50100K .......... .......... .......... .......... .......... 84%  235M 0s
2024-08-22T20:28:55.8505875Z  50150K .......... .......... .......... .......... .......... 84%  235M 0s
2024-08-22T20:28:55.8508549Z  50200K .......... .......... .......... .......... .......... 84%  223M 0s
2024-08-22T20:28:55.8510629Z  50250K .......... .......... .......... .......... .......... 84%  196M 0s
2024-08-22T20:28:55.8513011Z  50300K .......... .......... .......... .......... .......... 84%  218M 0s
2024-08-22T20:28:55.8515147Z  50350K .......... .......... .......... .......... .......... 84%  231M 0s
2024-08-22T20:28:55.8517276Z  50400K .......... .......... .......... .......... .......... 84%  242M 0s
2024-08-22T20:28:55.8519354Z  50450K .......... .......... .......... .......... .......... 85%  204M 0s
2024-08-22T20:28:55.8521402Z  50500K .......... .......... .......... .......... .......... 85%  234M 0s
2024-08-22T20:28:55.8523722Z  50550K .......... .......... .......... .......... .......... 85%  219M 0s
2024-08-22T20:28:55.8526134Z  50600K .......... .......... .......... .......... .......... 85%  247M 0s
2024-08-22T20:28:55.8528079Z  50650K .......... .......... .......... .......... .......... 85%  196M 0s
2024-08-22T20:28:55.8530571Z  50700K .......... .......... .......... .......... .......... 85%  232M 0s
2024-08-22T20:28:55.8532580Z  50750K .......... .......... .......... .......... .......... 85%  213M 0s
2024-08-22T20:28:55.8535718Z  50800K .......... .......... .......... .......... .......... 85%  172M 0s
2024-08-22T20:28:55.8538729Z  50850K .......... .......... .......... .......... .......... 85%  195M 0s
2024-08-22T20:28:55.8540763Z  50900K .......... .......... .......... .......... .......... 85%  197M 0s
2024-08-22T20:28:55.8542672Z  50950K .......... .......... .......... .......... .......... 85%  205M 0s
2024-08-22T20:28:55.8545506Z  51000K .......... .......... .......... .......... .......... 85%  195M 0s
2024-08-22T20:28:55.8547851Z  51050K .......... .......... .......... .......... .......... 86%  192M 0s
2024-08-22T20:28:55.8550751Z  51100K .......... .......... .......... .......... .......... 86%  189M 0s
2024-08-22T20:28:55.8553397Z  51150K .......... .......... .......... .......... .......... 86%  183M 0s
2024-08-22T20:28:55.8556392Z  51200K .......... .......... .......... .......... .......... 86%  175M 0s
2024-08-22T20:28:55.8558949Z  51250K .......... .......... .......... .......... .......... 86%  196M 0s
2024-08-22T20:28:55.8561775Z  51300K .......... .......... .......... .......... .......... 86%  158M 0s
2024-08-22T20:28:55.8564187Z  51350K .......... .......... .......... .......... .......... 86%  196M 0s
2024-08-22T20:28:55.8566811Z  51400K .......... .......... .......... .......... .......... 86%  167M 0s
2024-08-22T20:28:55.8569023Z  51450K .......... .......... .......... .......... .......... 86%  226M 0s
2024-08-22T20:28:55.8571488Z  51500K .......... .......... .......... .......... .......... 86%  221M 0s
2024-08-22T20:28:55.8573616Z  51550K .......... .......... .......... .......... .......... 86%  209M 0s
2024-08-22T20:28:55.8575704Z  51600K .......... .......... .......... .......... .......... 87%  226M 0s
2024-08-22T20:28:55.8577757Z  51650K .......... .......... .......... .......... .......... 87%  249M 0s
2024-08-22T20:28:55.8579912Z  51700K .......... .......... .......... .......... .......... 87%  215M 0s
2024-08-22T20:28:55.8582545Z  51750K .......... .......... .......... .......... .......... 87%  240M 0s
2024-08-22T20:28:55.8584371Z  51800K .......... .......... .......... .......... .......... 87%  196M 0s
2024-08-22T20:28:55.8586801Z  51850K .......... .......... .......... .......... .......... 87%  241M 0s
2024-08-22T20:28:55.8588950Z  51900K .......... .......... .......... .......... .......... 87%  220M 0s
2024-08-22T20:28:55.8591217Z  51950K .......... .......... .......... .......... .......... 87%  228M 0s
2024-08-22T20:28:55.8593014Z  52000K .......... .......... .......... .......... .......... 87%  214M 0s
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2024-08-22T20:28:55.8597265Z  52100K .......... .......... .......... .......... .......... 87%  234M 0s
2024-08-22T20:28:55.8599562Z  52150K .......... .......... .......... .......... .......... 87%  241M 0s
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2024-08-22T20:28:55.8603615Z  52250K .......... .......... .......... .......... .......... 88%  239M 0s
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2024-08-22T20:28:55.8829125Z  57300K .......... .......... .......... .......... .......... 96%  191M 0s
2024-08-22T20:28:55.8831442Z  57350K .......... .......... .......... .......... .......... 96%  207M 0s
2024-08-22T20:28:55.8833785Z  57400K .......... .......... .......... .......... .......... 96%  213M 0s
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2024-08-22T20:28:55.8838750Z  57500K .......... .......... .......... .......... .......... 96%  177M 0s
2024-08-22T20:28:55.8841078Z  57550K .......... .......... .......... .......... .......... 97%  213M 0s
2024-08-22T20:28:55.8843458Z  57600K .......... .......... .......... .......... .......... 97%  211M 0s
2024-08-22T20:28:55.8846064Z  57650K .......... .......... .......... .......... .......... 97%  207M 0s
2024-08-22T20:28:55.8848534Z  57700K .......... .......... .......... .......... .......... 97%  190M 0s
2024-08-22T20:28:55.8850666Z  57750K .......... .......... .......... .......... .......... 97%  211M 0s
2024-08-22T20:28:55.8853114Z  57800K .......... .......... .......... .......... .......... 97%  193M 0s
2024-08-22T20:28:55.8855676Z  57850K .......... .......... .......... .......... .......... 97%  216M 0s
2024-08-22T20:28:55.8857890Z  57900K .......... .......... .......... .......... .......... 97%  198M 0s
2024-08-22T20:28:55.8860163Z  57950K .......... .......... .......... .......... .......... 97%  209M 0s
2024-08-22T20:28:55.8862515Z  58000K .......... .......... .......... .......... .......... 97%  215M 0s
2024-08-22T20:28:55.8865075Z  58050K .......... .......... .......... .......... .......... 97%  185M 0s
2024-08-22T20:28:55.8867376Z  58100K .......... .......... .......... .......... .......... 97%  217M 0s
2024-08-22T20:28:55.8869644Z  58150K .......... .......... .......... .......... .......... 98%  214M 0s
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2024-08-22T20:28:55.8874508Z  58250K .......... .......... .......... .......... .......... 98%  180M 0s
2024-08-22T20:28:55.8876829Z  58300K .......... .......... .......... .......... .......... 98%  219M 0s
2024-08-22T20:28:55.8879146Z  58350K .......... .......... .......... .......... .......... 98%  213M 0s
2024-08-22T20:28:55.8881470Z  58400K .......... .......... .......... .......... .......... 98%  211M 0s
2024-08-22T20:28:55.8884033Z  58450K .......... .......... .......... .......... .......... 98%  183M 0s
2024-08-22T20:28:55.8886304Z  58500K .......... .......... .......... .......... .......... 98%  225M 0s
2024-08-22T20:28:55.8888603Z  58550K .......... .......... .......... .......... .......... 98%  213M 0s
2024-08-22T20:28:55.8891124Z  58600K .......... .......... .......... .......... .......... 98%  213M 0s
2024-08-22T20:28:55.8893754Z  58650K .......... .......... .......... .......... .......... 98%  173M 0s
2024-08-22T20:28:55.8896009Z  58700K .......... .......... .......... .......... .......... 98%  215M 0s
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2024-08-22T20:28:55.8909313Z  58900K .......... .......... .......... .......... .......... 99%  333M 0s
2024-08-22T20:28:55.8910180Z  58950K .......... .......... .......... .......... .......... 99%  330M 0s
2024-08-22T20:28:55.8911051Z  59000K .......... .......... .......... .......... .......... 99%  328M 0s
2024-08-22T20:28:55.8913838Z  59050K .......... .......... .......... .......... .......... 99%  222M 0s
2024-08-22T20:28:55.8914435Z  59100K .......... .......... .......... .......... .......... 99%  240M 0s
2024-08-22T20:28:55.8914993Z  59150K .......... .......... .......... .......... .......... 99%  238M 0s
2024-08-22T20:28:55.8915542Z  59200K .......... .......... .......... .......... .......... 99%  308M 0s
2024-08-22T20:28:55.8916096Z  59250K .......... .......... .......... .......... .......... 99%  255M 0s
2024-08-22T20:28:55.8944022Z + for resource in $RESOURCES_STRING
2024-08-22T20:28:55.8944846Z  59300K .......... .......... .......... .......... .......... 99%  303M 0s
2024-08-22T20:28:55.8946025Z + echo 'Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.model'
2024-08-22T20:28:55.8947057Z + wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-08-22T20:28:55.8947616Z  59350K .......... ....                                       100%  291M=0.3s
2024-08-22T20:28:55.8947927Z 
2024-08-22T20:28:55.8948580Z 2024-08-22 20:28:55 (226 MB/s) - ‘stories15M.pt’ saved [60789090/60789090]
2024-08-22T20:28:55.8949229Z 
2024-08-22T20:28:55.8949531Z Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-08-22T20:28:55.8956622Z --2024-08-22 20:28:55--  https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
2024-08-22T20:28:55.8994992Z Resolving github.com (github.com)... 140.82.116.3
2024-08-22T20:28:55.9038288Z Connecting to github.com (github.com)|140.82.116.3|:443... connected.
2024-08-22T20:28:55.9206058Z HTTP request sent, awaiting response... 302 Found
2024-08-22T20:28:55.9207327Z Location: https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model [following]
2024-08-22T20:28:55.9209535Z --2024-08-22 20:28:55--  https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model
2024-08-22T20:28:55.9268127Z Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.111.133, 185.199.110.133, ...
2024-08-22T20:28:55.9310782Z Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.
2024-08-22T20:28:55.9493765Z HTTP request sent, awaiting response... 200 OK
2024-08-22T20:28:55.9494830Z Length: 499723 (488K) [application/octet-stream]
2024-08-22T20:28:55.9495607Z Saving to: ‘tokenizer.model’
2024-08-22T20:28:55.9496157Z 
2024-08-22T20:28:55.9540160Z      0K .......... .......... .......... .......... .......... 10% 11.0M 0s
2024-08-22T20:28:55.9582498Z     50K .......... .......... .......... .......... .......... 20% 11.5M 0s
2024-08-22T20:28:55.9590117Z    100K .......... .......... .......... .......... .......... 30% 63.4M 0s
2024-08-22T20:28:55.9622786Z    150K .......... .......... .......... .......... .......... 40% 15.2M 0s
2024-08-22T20:28:55.9628675Z    200K .......... .......... .......... .......... .......... 51% 78.2M 0s
2024-08-22T20:28:55.9633132Z    250K .......... .......... .......... .......... .......... 61%  102M 0s
2024-08-22T20:28:55.9639075Z    300K .......... .......... .......... .......... .......... 71% 83.0M 0s
2024-08-22T20:28:55.9644401Z    350K .......... .......... .......... .......... .......... 81% 98.2M 0s
2024-08-22T20:28:55.9667510Z    400K .......... .......... .......... .......... .......... 92% 20.9M 0s
2024-08-22T20:28:55.9669255Z    450K .......... .......... .......... ........             100%  234M=0.02s
2024-08-22T20:28:55.9669927Z 
2024-08-22T20:28:55.9670499Z 2024-08-22 20:28:55 (27.5 MB/s) - ‘tokenizer.model’ saved [499723/499723]
2024-08-22T20:28:55.9671065Z 
2024-08-22T20:28:55.9678440Z + for resource in $RESOURCES_STRING
2024-08-22T20:28:55.9679421Z Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:28:55.9680365Z + echo 'Downloading: https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin'
2024-08-22T20:28:55.9681182Z + wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:28:55.9703283Z --2024-08-22 20:28:55--  https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
2024-08-22T20:28:55.9735652Z Resolving github.com (github.com)... 140.82.116.3
2024-08-22T20:28:55.9777342Z Connecting to github.com (github.com)|140.82.116.3|:443... connected.
2024-08-22T20:28:55.9987522Z HTTP request sent, awaiting response... 302 Found
2024-08-22T20:28:55.9988916Z Location: https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.bin [following]
2024-08-22T20:28:55.9990344Z --2024-08-22 20:28:55--  https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.bin
2024-08-22T20:28:55.9992450Z Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.110.133, 185.199.108.133, ...
2024-08-22T20:28:56.0038785Z Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.
2024-08-22T20:28:56.1310618Z HTTP request sent, awaiting response... 200 OK
2024-08-22T20:28:56.1311830Z Length: 433869 (424K) [application/octet-stream]
2024-08-22T20:28:56.1312824Z Saving to: ‘tokenizer.bin’
2024-08-22T20:28:56.1313697Z 
2024-08-22T20:28:56.1361152Z      0K .......... .......... .......... .......... .......... 11% 10.1M 0s
2024-08-22T20:28:56.1429878Z     50K .......... .......... .......... .......... .......... 23% 10.8M 0s
2024-08-22T20:28:56.1442691Z    100K .......... .......... .......... .......... .......... 35% 13.5M 0s
2024-08-22T20:28:56.1444668Z    150K .......... .......... .......... .......... .......... 47%  235M 0s
2024-08-22T20:28:56.1446702Z    200K .......... .......... .......... .......... .......... 59%  208M 0s
2024-08-22T20:28:56.1475273Z    250K .......... .......... .......... .......... .......... 70% 17.4M 0s
2024-08-22T20:28:56.1478884Z    300K .......... .......... .......... .......... .......... 82%  126M 0s
2024-08-22T20:28:56.1484648Z    350K .......... .......... .......... .......... .......... 94% 91.0M 0s
2024-08-22T20:28:56.1485844Z    400K .......... .......... ...                             100%  163M=0.02s
2024-08-22T20:28:56.1486492Z 
2024-08-22T20:28:56.1487127Z 2024-08-22 20:28:56 (23.9 MB/s) - ‘tokenizer.bin’ saved [433869/433869]
2024-08-22T20:28:56.1487853Z 
2024-08-22T20:28:56.1495879Z + popd
2024-08-22T20:28:56.1496284Z ~/work/torchchat/torchchat
2024-08-22T20:28:56.1526992Z ##[group]Run pushd ${TORCHCHAT_ROOT}
2024-08-22T20:28:56.1527373Z pushd ${TORCHCHAT_ROOT}
2024-08-22T20:28:56.1527779Z bash .ci/scripts/convert_checkpoint.sh ${REPO_NAME}
2024-08-22T20:28:56.1528400Z bash .ci/scripts/validate.sh "./checkpoints/${REPO_NAME}/model.pth" "cpu" "aoti"
2024-08-22T20:28:56.1595199Z shell: /usr/bin/bash -e {0}
2024-08-22T20:28:56.1595487Z env:
2024-08-22T20:28:56.1595772Z   TORCHCHAT_ROOT: /home/runner/work/torchchat/torchchat
2024-08-22T20:28:56.1596173Z   REPO_NAME: tinyllamas/stories15M
2024-08-22T20:28:56.1596570Z   pythonLocation: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:56.1597116Z   PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib/pkgconfig
2024-08-22T20:28:56.1597631Z   Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:56.1598107Z   Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:56.1598588Z   Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.10.11/x64
2024-08-22T20:28:56.1599066Z   LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.10.11/x64/lib
2024-08-22T20:28:56.1599459Z ##[endgroup]
2024-08-22T20:28:56.1680708Z ~/work/torchchat/torchchat ~/work/torchchat/torchchat
2024-08-22T20:28:56.1697060Z ~/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M ~/work/torchchat/torchchat
2024-08-22T20:28:56.1714461Z ~/work/torchchat/torchchat
2024-08-22T20:28:56.1742349Z arg:aoti
2024-08-22T20:28:56.1742619Z Passing DTYPES=default
2024-08-22T20:28:56.1765223Z Local DTYPES=default
2024-08-22T20:28:56.1765758Z Local after default DTYPES=float32 bfloat16 float16
2024-08-22T20:28:56.1766307Z ############### Run inference with AOT Inductor for dtype float32 ###############
2024-08-22T20:28:56.1766672Z 
2024-08-22T20:28:56.1766779Z ******************************************
2024-08-22T20:28:56.1767254Z ************** non-quantized *************
2024-08-22T20:28:56.1767590Z ******************************************
2024-08-22T20:29:00.1327049Z 
2024-08-22T20:29:00.1330525Z Downloading builder script:   0%|          | 0.00/5.67k [00:00<?, ?B/s]
2024-08-22T20:29:00.1331621Z Downloading builder script: 100%|██████████| 5.67k/5.67k [00:00<00:00, 29.2MB/s]
2024-08-22T20:29:28.1209524Z Using device=cpu
2024-08-22T20:29:28.1210037Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:29:28.1214271Z Loading model...
2024-08-22T20:29:28.1214710Z Time to load model: 0.02 seconds
2024-08-22T20:29:28.1215513Z -----------------------------------------------------------
2024-08-22T20:29:28.1216693Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:29:28.1218630Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:29:33.5216952Z 2024-08-22:20:29:33,521 INFO     [generate.py:846] 
2024-08-22T20:29:33.5218307Z Time for inference 1: 0.43 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 463.37 tokens/sec, 2.16 ms/token
2024-08-22T20:29:33.5219813Z 2024-08-22:20:29:33,521 INFO     [generate.py:849] Bandwidth achieved: 45.24 GB/s
2024-08-22T20:29:33.5221439Z 2024-08-22:20:29:33,521 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:29:34.1342959Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:29:34.1344140Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:29:34.1345068Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:29:34.1345444Z Loading model...
2024-08-22T20:29:34.1345798Z Time to load model: 0.02 seconds
2024-08-22T20:29:34.1346189Z -----------------------------------------------------------
2024-08-22T20:29:34.1348748Z Hello, my name is Pandy. I was feeling a bit confused. She was sitting all alone in the corner and didn't know what to do. She asked her mommy what was wrong and her mommy told her that she was tired.
2024-08-22T20:29:34.1350719Z Pandy smiled and asked her mommy, "What's wrong Mama?"
2024-08-22T20:29:34.1351826Z Her mommy replied, "I think Mama is feeling very tired. We should take a break and sit down."
2024-08-22T20:29:34.1352880Z So, Pandy and her mommy sat on the floor and enjoyed the peaceful moment together. They laughed and talked as they snuggled.
2024-08-22T20:29:34.1353820Z Suddenly, a grape fell on the floor and Pandy smiled. She asked her mommy, "Can we eat the grape?"
2024-08-22T20:29:34.1354800Z Her mommy smiled and said, "No, that's not kind. We shouldn't eat grapes. We should put it back where we found them."
2024-08-22T20:29:34.1355585Z Pandy nodded and put the grape back
2024-08-22T20:29:34.1355916Z ========================================
2024-08-22T20:29:34.1356142Z 
2024-08-22T20:29:34.1356254Z Average tokens/sec: 463.37
2024-08-22T20:29:34.1356531Z Memory used: 0.00 GB
2024-08-22T20:29:34.1490543Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:29:34.1498211Z cat: write error: Broken pipe
2024-08-22T20:29:34.1507460Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:29:34.1509652Z ******************************************
2024-08-22T20:29:34.1510113Z ******* Emb: channel-wise quantized ******
2024-08-22T20:29:34.1510456Z ******************************************
2024-08-22T20:30:03.3715873Z Using device=cpu
2024-08-22T20:30:03.3716637Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:30:03.3717224Z Loading model...
2024-08-22T20:30:03.3717699Z Time to load model: 0.02 seconds
2024-08-22T20:30:03.3718896Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:30:03.3719519Z Time to quantize model: 0.02 seconds
2024-08-22T20:30:03.3720431Z -----------------------------------------------------------
2024-08-22T20:30:03.3722078Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:30:03.3723469Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:30:08.9053411Z 2024-08-22:20:30:08,904 INFO     [generate.py:846] 
2024-08-22T20:30:08.9054709Z Time for inference 1: 0.37 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 534.01 tokens/sec, 1.87 ms/token
2024-08-22T20:30:08.9056207Z 2024-08-22:20:30:08,905 INFO     [generate.py:849] Bandwidth achieved: 52.14 GB/s
2024-08-22T20:30:08.9057809Z 2024-08-22:20:30:08,905 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:30:09.5731215Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:30:09.5732432Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:30:09.5733974Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:30:09.5734429Z Loading model...
2024-08-22T20:30:09.5734762Z Time to load model: 0.02 seconds
2024-08-22T20:30:09.5735223Z -----------------------------------------------------------
2024-08-22T20:30:09.5736497Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:30:09.5739050Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:30:09.5740746Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to his friend. Daisy wants to play too. She runs to the boy and says, "Can I play with you?"
2024-08-22T20:30:09.5742135Z The boy looks at Daisy. He sees her smiling. He smiles back. He says, "Sure, you can play with me. What do you want to play?"
2024-08-22T20:30:09.5742948Z Daisy says, "I want
2024-08-22T20:30:09.5743223Z ========================================
2024-08-22T20:30:09.5743727Z 
2024-08-22T20:30:09.5743858Z Average tokens/sec: 534.01
2024-08-22T20:30:09.5744169Z Memory used: 0.00 GB
2024-08-22T20:30:09.5908692Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:30:09.5917626Z cat: write error: Broken pipe
2024-08-22T20:30:09.5925024Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:30:09.5927479Z ******************************************
2024-08-22T20:30:09.5928350Z ******** Emb: group-wise quantized *******
2024-08-22T20:30:09.5928988Z ******************************************
2024-08-22T20:30:39.0780481Z Using device=cpu
2024-08-22T20:30:39.0783600Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:30:39.0784358Z Loading model...
2024-08-22T20:30:39.0784795Z Time to load model: 0.02 seconds
2024-08-22T20:30:39.0787892Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:30:39.0788814Z Time to quantize model: 0.03 seconds
2024-08-22T20:30:39.0789553Z -----------------------------------------------------------
2024-08-22T20:30:39.0790893Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:30:39.0792805Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:30:44.4292719Z 2024-08-22:20:30:44,428 INFO     [generate.py:846] 
2024-08-22T20:30:44.4294053Z Time for inference 1: 0.34 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 585.04 tokens/sec, 1.71 ms/token
2024-08-22T20:30:44.4295556Z 2024-08-22:20:30:44,429 INFO     [generate.py:849] Bandwidth achieved: 57.12 GB/s
2024-08-22T20:30:44.4297153Z 2024-08-22:20:30:44,429 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:30:45.0470469Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:30:45.0471792Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:30:45.0472946Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:30:45.0473317Z Loading model...
2024-08-22T20:30:45.0473580Z Time to load model: 0.02 seconds
2024-08-22T20:30:45.0473964Z -----------------------------------------------------------
2024-08-22T20:30:45.0474980Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:30:45.0476325Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and says, "Whee!"
2024-08-22T20:30:45.0477500Z Daisy's mommy claps and says, "Good job, Daisy! You are so brave!" Daisy smiles and says, "Thank you, mommy!"
2024-08-22T20:30:45.0481904Z Daisy and her mommy have a great day at the park. They play on the swings, slide down the slide, and run in the grass. Daisy is very happy. She loves her mommy and her popular slide. Once upon a time, there
2024-08-22T20:30:45.0482954Z ========================================
2024-08-22T20:30:45.0483185Z 
2024-08-22T20:30:45.0483293Z Average tokens/sec: 585.04
2024-08-22T20:30:45.0483561Z Memory used: 0.00 GB
2024-08-22T20:30:45.0618019Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:30:45.0624544Z cat: write error: Broken pipe
2024-08-22T20:30:45.0632872Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:30:45.0634906Z ***********************************************
2024-08-22T20:30:45.0635726Z ******* Emb: 4bit channel-wise quantized ******
2024-08-22T20:30:45.0636352Z ***********************************************
2024-08-22T20:31:14.4549600Z Using device=cpu
2024-08-22T20:31:14.4551104Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:31:14.4551658Z Loading model...
2024-08-22T20:31:14.4551956Z Time to load model: 0.02 seconds
2024-08-22T20:31:14.4555000Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 0, 'packed': 'True'}}
2024-08-22T20:31:14.4555736Z Time to quantize model: 0.03 seconds
2024-08-22T20:31:14.4556234Z -----------------------------------------------------------
2024-08-22T20:31:14.4557156Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:31:14.4558542Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:31:20.3963893Z 2024-08-22:20:31:20,396 INFO     [generate.py:846] 
2024-08-22T20:31:20.3965193Z Time for inference 1: 1.00 sec total, time to first token 0.03 sec with sequential prefill, 199 tokens, 199.98 tokens/sec, 5.00 ms/token
2024-08-22T20:31:20.3966689Z 2024-08-22:20:31:20,396 INFO     [generate.py:849] Bandwidth achieved: 19.52 GB/s
2024-08-22T20:31:20.3968360Z 2024-08-22:20:31:20,396 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:31:20.9958615Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:31:20.9959907Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:31:20.9961211Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:31:20.9961587Z Loading model...
2024-08-22T20:31:20.9962004Z Time to load model: 0.02 seconds
2024-08-22T20:31:20.9962667Z -----------------------------------------------------------
2024-08-22T20:31:20.9963801Z Hello, my name is Jack. He is three years old and he loves to explore. One day, he was walking through the park when he saw a big, tall tree. He wanted to climb it, so he started to climb.
2024-08-22T20:31:20.9964862Z Suddenly, he heard a voice. "Hey, what are you doing?" It was his mom.
2024-08-22T20:31:20.9965653Z Jack replied, "I'm climbing the tree. I want to see what's up there."
2024-08-22T20:31:20.9966772Z His mom said, "Be careful, Jack. You don't want to get hurt."
2024-08-22T20:31:20.9967602Z Jack said, "I'm not scared. I'm brave."
2024-08-22T20:31:20.9968574Z He started to climb the tree. He was almost at the top when he heard a loud noise. He looked down and saw a big, scary dog. The dog barked and growled at him.
2024-08-22T20:31:20.9969905Z Jack was scared and he started to cry. He tried to climb down, but he was too
2024-08-22T20:31:20.9970844Z ========================================
2024-08-22T20:31:20.9971140Z 
2024-08-22T20:31:20.9971242Z Average tokens/sec: 199.98
2024-08-22T20:31:20.9971541Z Memory used: 0.00 GB
2024-08-22T20:31:21.0105122Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:31:21.0111810Z cat: write error: Broken pipe
2024-08-22T20:31:21.0120071Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:31:21.0122361Z ***********************************************
2024-08-22T20:31:21.0123133Z ******** Emb: 4bit group-wise quantized *******
2024-08-22T20:31:21.0123625Z ***********************************************
2024-08-22T20:31:50.4697281Z Using device=cpu
2024-08-22T20:31:50.4699144Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:31:50.4699554Z Loading model...
2024-08-22T20:31:50.4699814Z Time to load model: 0.02 seconds
2024-08-22T20:31:50.4700602Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 8, 'packed': 'True'}}
2024-08-22T20:31:50.4701446Z Time to quantize model: 0.03 seconds
2024-08-22T20:31:50.4702475Z -----------------------------------------------------------
2024-08-22T20:31:50.4703499Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:31:50.4704671Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:31:56.3287583Z 2024-08-22:20:31:56,328 INFO     [generate.py:846] 
2024-08-22T20:31:56.3289427Z Time for inference 1: 1.00 sec total, time to first token 0.03 sec with sequential prefill, 199 tokens, 198.67 tokens/sec, 5.03 ms/token
2024-08-22T20:31:56.3291883Z 2024-08-22:20:31:56,328 INFO     [generate.py:849] Bandwidth achieved: 19.40 GB/s
2024-08-22T20:31:56.3293508Z 2024-08-22:20:31:56,328 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:31:56.9542965Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:31:56.9544283Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:31:56.9545939Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:31:56.9546624Z Loading model...
2024-08-22T20:31:56.9547046Z Time to load model: 0.02 seconds
2024-08-22T20:31:56.9547842Z -----------------------------------------------------------
2024-08-22T20:31:56.9548858Z Hello, my name is Daisy. Daisy is three years old. She loves to play with her toys.
2024-08-22T20:31:56.9550828Z One day, Daisy's mommy said, "Daisy, it's time to go to the store." Daisy was so excited. She ran to the car and said, "Mommy, can I go to the store?"
2024-08-22T20:31:56.9552158Z Mommy smiled and said, "Yes, Daisy. You can go to the store."
2024-08-22T20:31:56.9553161Z So Daisy got in the car and drove to the store. When she got there, she saw a big, shiny, new toy. She was so happy!
2024-08-22T20:31:56.9553819Z Daisy said, "Mommy, can I have this toy?"
2024-08-22T20:31:56.9554189Z Mommy said, "Yes, Daisy. You can have it."
2024-08-22T20:31:56.9554664Z Daisy was so excited. She hugged the toy and said, "Thank you, Mommy!"
2024-08-22T20:31:56.9555022Z 
2024-08-22T20:31:56.9555121Z ========================================
2024-08-22T20:31:56.9555344Z 
2024-08-22T20:31:56.9555444Z Average tokens/sec: 198.67
2024-08-22T20:31:56.9555719Z Memory used: 0.00 GB
2024-08-22T20:31:56.9687885Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:31:56.9693997Z cat: write error: Broken pipe
2024-08-22T20:31:56.9703025Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:31:56.9705222Z ******************************************
2024-08-22T20:31:56.9705862Z ******* INT8 channel-wise quantized ******
2024-08-22T20:31:56.9706279Z ******************************************
2024-08-22T20:32:28.0092173Z Using device=cpu
2024-08-22T20:32:28.0094919Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:32:28.0095576Z Loading model...
2024-08-22T20:32:28.0095937Z Time to load model: 0.02 seconds
2024-08-22T20:32:28.0096917Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:32:28.0097727Z Time to quantize model: 0.04 seconds
2024-08-22T20:32:28.0098275Z -----------------------------------------------------------
2024-08-22T20:32:28.0099290Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:32:28.0101154Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:32:34.0564106Z 2024-08-22:20:32:34,056 INFO     [generate.py:846] 
2024-08-22T20:32:34.0565411Z Time for inference 1: 1.07 sec total, time to first token 0.03 sec with sequential prefill, 199 tokens, 185.48 tokens/sec, 5.39 ms/token
2024-08-22T20:32:34.0566923Z 2024-08-22:20:32:34,056 INFO     [generate.py:849] Bandwidth achieved: 18.11 GB/s
2024-08-22T20:32:34.0568520Z 2024-08-22:20:32:34,056 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:32:34.6497118Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:32:34.6498013Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:32:34.6499050Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:32:34.6499750Z Loading model...
2024-08-22T20:32:34.6500181Z Time to load model: 0.02 seconds
2024-08-22T20:32:34.6501180Z -----------------------------------------------------------
2024-08-22T20:32:34.6502518Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:32:34.6505421Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide. She slides down. She laughs.
2024-08-22T20:32:34.6507775Z Daisy sees a boy. He is playing with a ball. He throws the ball to Daisy. Daisy runs to the ball. She picks it up. She throws it back to the boy. The boy catches the ball. He throws it back to Daisy. They play together. They have fun.
2024-08-22T20:32:34.6509219Z Daisy and the boy are friends. They like to play at
2024-08-22T20:32:34.6509638Z ========================================
2024-08-22T20:32:34.6509891Z 
2024-08-22T20:32:34.6510063Z Average tokens/sec: 185.48
2024-08-22T20:32:34.6510341Z Memory used: 0.00 GB
2024-08-22T20:32:34.6641603Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:32:34.6652428Z cat: write error: Broken pipe
2024-08-22T20:32:34.6657527Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:32:34.6659458Z ******************************************
2024-08-22T20:32:34.6660168Z ******** INT8 group-wise quantized *******
2024-08-22T20:32:34.6660600Z ******************************************
2024-08-22T20:33:06.2937451Z Using device=cpu
2024-08-22T20:33:06.2938000Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:33:06.2938912Z Loading model...
2024-08-22T20:33:06.2939347Z Time to load model: 0.02 seconds
2024-08-22T20:33:06.2940404Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:33:06.2941389Z Time to quantize model: 0.05 seconds
2024-08-22T20:33:06.2942076Z -----------------------------------------------------------
2024-08-22T20:33:06.2943269Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:33:06.2945034Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:33:12.3564187Z 2024-08-22:20:33:12,356 INFO     [generate.py:846] 
2024-08-22T20:33:12.3565609Z Time for inference 1: 1.16 sec total, time to first token 0.03 sec with sequential prefill, 199 tokens, 171.17 tokens/sec, 5.84 ms/token
2024-08-22T20:33:12.3567236Z 2024-08-22:20:33:12,356 INFO     [generate.py:849] Bandwidth achieved: 16.71 GB/s
2024-08-22T20:33:12.3568951Z 2024-08-22:20:33:12,356 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:33:13.0285255Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:33:13.0286838Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:33:13.0288157Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:33:13.0288819Z Loading model...
2024-08-22T20:33:13.0289238Z Time to load model: 0.02 seconds
2024-08-22T20:33:13.0289691Z -----------------------------------------------------------
2024-08-22T20:33:13.0290570Z Hello, my name is Daisy. Daisy is a very happy girl. She loves to play with her friends.
2024-08-22T20:33:13.0291748Z One day, Daisy and her friends were playing in the park. They were having lots of fun. Suddenly, Daisy saw a big, red ball. She wanted to play with it.
2024-08-22T20:33:13.0293553Z Daisy asked her friends, "Can I play with the ball?" Her friends said, "Yes, but be careful. It is very big."
2024-08-22T20:33:13.0294589Z Daisy was so excited. She ran to the ball and started to play. She was very happy.
2024-08-22T20:33:13.0296543Z Daisy and her friends played with the big, red ball all day. They laughed and had a great time. They were so happy to be together. Once upon a time, there was a little girl named Lily. She loved to play outside in the sunshine. One day, she saw a big, red ball in the sky. It was the sun!
2024-08-22T20:33:13.0298146Z ========================================
2024-08-22T20:33:13.0298398Z 
2024-08-22T20:33:13.0298502Z Average tokens/sec: 171.17
2024-08-22T20:33:13.0298800Z Memory used: 0.00 GB
2024-08-22T20:33:13.0433661Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:33:13.0441516Z cat: write error: Broken pipe
2024-08-22T20:33:13.0447622Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:33:13.0449681Z ******************************************
2024-08-22T20:33:13.0450658Z ******** INT4 group-wise quantized *******
2024-08-22T20:33:13.0451128Z ******************************************
2024-08-22T20:33:16.9668089Z 2024-08-22:20:33:16,966 INFO     [GPTQ.py:693] linear: layers.0.attention.wq, in=288, out=288
2024-08-22T20:33:16.9669462Z 2024-08-22:20:33:16,966 WARNING  [GPTQ.py:706] warning: layers.0.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9701089Z 2024-08-22:20:33:16,969 INFO     [GPTQ.py:693] linear: layers.0.attention.wk, in=288, out=288
2024-08-22T20:33:16.9702841Z 2024-08-22:20:33:16,969 WARNING  [GPTQ.py:706] warning: layers.0.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9716890Z 2024-08-22:20:33:16,971 INFO     [GPTQ.py:693] linear: layers.0.attention.wv, in=288, out=288
2024-08-22T20:33:16.9718524Z 2024-08-22:20:33:16,971 WARNING  [GPTQ.py:706] warning: layers.0.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9726586Z 2024-08-22:20:33:16,972 INFO     [GPTQ.py:693] linear: layers.0.attention.wo, in=288, out=288
2024-08-22T20:33:16.9728205Z 2024-08-22:20:33:16,972 WARNING  [GPTQ.py:706] warning: layers.0.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9746513Z 2024-08-22:20:33:16,974 INFO     [GPTQ.py:693] linear: layers.0.feed_forward.w1, in=288, out=768
2024-08-22T20:33:16.9748635Z 2024-08-22:20:33:16,974 WARNING  [GPTQ.py:706] warning: layers.0.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9772785Z 2024-08-22:20:33:16,977 INFO     [GPTQ.py:693] linear: layers.0.feed_forward.w2, in=768, out=288
2024-08-22T20:33:16.9784883Z 2024-08-22:20:33:16,978 INFO     [GPTQ.py:693] linear: layers.0.feed_forward.w3, in=288, out=768
2024-08-22T20:33:16.9786719Z 2024-08-22:20:33:16,978 WARNING  [GPTQ.py:706] warning: layers.0.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9825412Z 2024-08-22:20:33:16,982 INFO     [GPTQ.py:693] linear: layers.1.attention.wq, in=288, out=288
2024-08-22T20:33:16.9826990Z 2024-08-22:20:33:16,982 WARNING  [GPTQ.py:706] warning: layers.1.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9843867Z 2024-08-22:20:33:16,984 INFO     [GPTQ.py:693] linear: layers.1.attention.wk, in=288, out=288
2024-08-22T20:33:16.9846095Z 2024-08-22:20:33:16,984 WARNING  [GPTQ.py:706] warning: layers.1.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9853951Z 2024-08-22:20:33:16,985 INFO     [GPTQ.py:693] linear: layers.1.attention.wv, in=288, out=288
2024-08-22T20:33:16.9855495Z 2024-08-22:20:33:16,985 WARNING  [GPTQ.py:706] warning: layers.1.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9863618Z 2024-08-22:20:33:16,986 INFO     [GPTQ.py:693] linear: layers.1.attention.wo, in=288, out=288
2024-08-22T20:33:16.9865167Z 2024-08-22:20:33:16,986 WARNING  [GPTQ.py:706] warning: layers.1.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9872828Z 2024-08-22:20:33:16,987 INFO     [GPTQ.py:693] linear: layers.1.feed_forward.w1, in=288, out=768
2024-08-22T20:33:16.9874459Z 2024-08-22:20:33:16,987 WARNING  [GPTQ.py:706] warning: layers.1.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9907918Z 2024-08-22:20:33:16,990 INFO     [GPTQ.py:693] linear: layers.1.feed_forward.w2, in=768, out=288
2024-08-22T20:33:16.9925146Z 2024-08-22:20:33:16,992 INFO     [GPTQ.py:693] linear: layers.1.feed_forward.w3, in=288, out=768
2024-08-22T20:33:16.9926898Z 2024-08-22:20:33:16,992 WARNING  [GPTQ.py:706] warning: layers.1.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9961712Z 2024-08-22:20:33:16,995 INFO     [GPTQ.py:693] linear: layers.2.attention.wq, in=288, out=288
2024-08-22T20:33:16.9965728Z 2024-08-22:20:33:16,996 WARNING  [GPTQ.py:706] warning: layers.2.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9977291Z 2024-08-22:20:33:16,997 INFO     [GPTQ.py:693] linear: layers.2.attention.wk, in=288, out=288
2024-08-22T20:33:16.9978843Z 2024-08-22:20:33:16,997 WARNING  [GPTQ.py:706] warning: layers.2.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9986893Z 2024-08-22:20:33:16,998 INFO     [GPTQ.py:693] linear: layers.2.attention.wv, in=288, out=288
2024-08-22T20:33:16.9988447Z 2024-08-22:20:33:16,998 WARNING  [GPTQ.py:706] warning: layers.2.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:16.9995860Z 2024-08-22:20:33:16,999 INFO     [GPTQ.py:693] linear: layers.2.attention.wo, in=288, out=288
2024-08-22T20:33:16.9997389Z 2024-08-22:20:33:16,999 WARNING  [GPTQ.py:706] warning: layers.2.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0006436Z 2024-08-22:20:33:17,000 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w1, in=288, out=768
2024-08-22T20:33:17.0008145Z 2024-08-22:20:33:17,000 WARNING  [GPTQ.py:706] warning: layers.2.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0043374Z 2024-08-22:20:33:17,004 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w2, in=768, out=288
2024-08-22T20:33:17.0051017Z 2024-08-22:20:33:17,004 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w3, in=288, out=768
2024-08-22T20:33:17.0052632Z 2024-08-22:20:33:17,005 WARNING  [GPTQ.py:706] warning: layers.2.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0086367Z 2024-08-22:20:33:17,008 INFO     [GPTQ.py:693] linear: layers.3.attention.wq, in=288, out=288
2024-08-22T20:33:17.0087958Z 2024-08-22:20:33:17,008 WARNING  [GPTQ.py:706] warning: layers.3.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0104665Z 2024-08-22:20:33:17,010 INFO     [GPTQ.py:693] linear: layers.3.attention.wk, in=288, out=288
2024-08-22T20:33:17.0106214Z 2024-08-22:20:33:17,010 WARNING  [GPTQ.py:706] warning: layers.3.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0114289Z 2024-08-22:20:33:17,011 INFO     [GPTQ.py:693] linear: layers.3.attention.wv, in=288, out=288
2024-08-22T20:33:17.0115832Z 2024-08-22:20:33:17,011 WARNING  [GPTQ.py:706] warning: layers.3.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0123877Z 2024-08-22:20:33:17,012 INFO     [GPTQ.py:693] linear: layers.3.attention.wo, in=288, out=288
2024-08-22T20:33:17.0130034Z 2024-08-22:20:33:17,012 WARNING  [GPTQ.py:706] warning: layers.3.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0146458Z 2024-08-22:20:33:17,014 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w1, in=288, out=768
2024-08-22T20:33:17.0148133Z 2024-08-22:20:33:17,014 WARNING  [GPTQ.py:706] warning: layers.3.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0187937Z 2024-08-22:20:33:17,018 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w2, in=768, out=288
2024-08-22T20:33:17.0199912Z 2024-08-22:20:33:17,019 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w3, in=288, out=768
2024-08-22T20:33:17.0201519Z 2024-08-22:20:33:17,019 WARNING  [GPTQ.py:706] warning: layers.3.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0241983Z 2024-08-22:20:33:17,023 INFO     [GPTQ.py:693] linear: layers.4.attention.wq, in=288, out=288
2024-08-22T20:33:17.0243608Z 2024-08-22:20:33:17,024 WARNING  [GPTQ.py:706] warning: layers.4.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0253274Z 2024-08-22:20:33:17,025 INFO     [GPTQ.py:693] linear: layers.4.attention.wk, in=288, out=288
2024-08-22T20:33:17.0258438Z 2024-08-22:20:33:17,025 WARNING  [GPTQ.py:706] warning: layers.4.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0274397Z 2024-08-22:20:33:17,027 INFO     [GPTQ.py:693] linear: layers.4.attention.wv, in=288, out=288
2024-08-22T20:33:17.0276217Z 2024-08-22:20:33:17,027 WARNING  [GPTQ.py:706] warning: layers.4.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0288754Z 2024-08-22:20:33:17,028 INFO     [GPTQ.py:693] linear: layers.4.attention.wo, in=288, out=288
2024-08-22T20:33:17.0290632Z 2024-08-22:20:33:17,028 WARNING  [GPTQ.py:706] warning: layers.4.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0304701Z 2024-08-22:20:33:17,030 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w1, in=288, out=768
2024-08-22T20:33:17.0306663Z 2024-08-22:20:33:17,030 WARNING  [GPTQ.py:706] warning: layers.4.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0342710Z 2024-08-22:20:33:17,033 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w2, in=768, out=288
2024-08-22T20:33:17.0355409Z 2024-08-22:20:33:17,035 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w3, in=288, out=768
2024-08-22T20:33:17.0357107Z 2024-08-22:20:33:17,035 WARNING  [GPTQ.py:706] warning: layers.4.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0393811Z 2024-08-22:20:33:17,039 INFO     [GPTQ.py:693] linear: layers.5.attention.wq, in=288, out=288
2024-08-22T20:33:17.0395549Z 2024-08-22:20:33:17,039 WARNING  [GPTQ.py:706] warning: layers.5.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0403617Z 2024-08-22:20:33:17,040 INFO     [GPTQ.py:693] linear: layers.5.attention.wk, in=288, out=288
2024-08-22T20:33:17.0408396Z 2024-08-22:20:33:17,040 WARNING  [GPTQ.py:706] warning: layers.5.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0424401Z 2024-08-22:20:33:17,042 INFO     [GPTQ.py:693] linear: layers.5.attention.wv, in=288, out=288
2024-08-22T20:33:17.0426244Z 2024-08-22:20:33:17,042 WARNING  [GPTQ.py:706] warning: layers.5.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0438812Z 2024-08-22:20:33:17,043 INFO     [GPTQ.py:693] linear: layers.5.attention.wo, in=288, out=288
2024-08-22T20:33:17.0440506Z 2024-08-22:20:33:17,043 WARNING  [GPTQ.py:706] warning: layers.5.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0455582Z 2024-08-22:20:33:17,045 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w1, in=288, out=768
2024-08-22T20:33:17.0457308Z 2024-08-22:20:33:17,045 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0491515Z 2024-08-22:20:33:17,048 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w2, in=768, out=288
2024-08-22T20:33:17.0499062Z 2024-08-22:20:33:17,049 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w3, in=288, out=768
2024-08-22T20:33:17.0500907Z 2024-08-22:20:33:17,049 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:17.0535333Z 2024-08-22:20:33:17,053 INFO     [GPTQ.py:693] linear: output, in=288, out=32000
2024-08-22T20:33:17.0536950Z 2024-08-22:20:33:17,053 WARNING  [GPTQ.py:706] warning: output is padded to satisfy in_features % 1024 == 0
2024-08-22T20:33:33.6279499Z In file included from /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:14,
2024-08-22T20:33:33.6282871Z                  from /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/arrayref_tensor.h:3,
2024-08-22T20:33:33.6285121Z                  from /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ccq6cebfrqkjq7wrehbiytfoiasei73s4lvm5zpxudfu6is522r3.cpp:1:
2024-08-22T20:33:33.6288033Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ccq6cebfrqkjq7wrehbiytfoiasei73s4lvm5zpxudfu6is522r3.cpp: In lambda function:
2024-08-22T20:33:33.6291342Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ccq6cebfrqkjq7wrehbiytfoiasei73s4lvm5zpxudfu6is522r3.cpp:514:89: warning: ‘~’ on an expression of type ‘bool’ [-Wbool-operation]
2024-08-22T20:33:33.6294282Z   514 |                 AOTI_TORCH_CHECK(((0 <= tmp14) & (tmp14 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp14 < 32000L");
2024-08-22T20:33:33.6295418Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:33:33.6297111Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:33:33.6298331Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:33:33.6298740Z       |         ^~~~
2024-08-22T20:33:33.6300090Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ccq6cebfrqkjq7wrehbiytfoiasei73s4lvm5zpxudfu6is522r3.cpp:514:89: note: did you mean to use logical not (‘!’)?
2024-08-22T20:33:33.6301482Z   514 |                 AOTI_TORCH_CHECK(((0 <= tmp14) & (tmp14 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp14 < 32000L");
2024-08-22T20:33:33.6302153Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:33:33.6303314Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:33:33.6304884Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:33:33.6305251Z       |         ^~~~
2024-08-22T20:33:33.6306167Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ccq6cebfrqkjq7wrehbiytfoiasei73s4lvm5zpxudfu6is522r3.cpp: In lambda function:
2024-08-22T20:33:33.6308087Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ccq6cebfrqkjq7wrehbiytfoiasei73s4lvm5zpxudfu6is522r3.cpp:555:89: warning: ‘~’ on an expression of type ‘bool’ [-Wbool-operation]
2024-08-22T20:33:33.6309548Z   555 |                 AOTI_TORCH_CHECK(((0 <= tmp38) & (tmp38 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp38 < 32000L");
2024-08-22T20:33:33.6310217Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:33:33.6311380Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:33:33.6312398Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:33:33.6313044Z       |         ^~~~
2024-08-22T20:33:33.6314197Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ccq6cebfrqkjq7wrehbiytfoiasei73s4lvm5zpxudfu6is522r3.cpp:555:89: note: did you mean to use logical not (‘!’)?
2024-08-22T20:33:33.6315578Z   555 |                 AOTI_TORCH_CHECK(((0 <= tmp38) & (tmp38 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp38 < 32000L");
2024-08-22T20:33:33.6316249Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:33:33.6317410Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:33:33.6318427Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:33:33.6318786Z       |         ^~~~
2024-08-22T20:33:33.6319673Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ccq6cebfrqkjq7wrehbiytfoiasei73s4lvm5zpxudfu6is522r3.cpp: In lambda function:
2024-08-22T20:33:33.6321737Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ccq6cebfrqkjq7wrehbiytfoiasei73s4lvm5zpxudfu6is522r3.cpp:596:89: warning: ‘~’ on an expression of type ‘bool’ [-Wbool-operation]
2024-08-22T20:33:33.6323261Z   596 |                 AOTI_TORCH_CHECK(((0 <= tmp62) & (tmp62 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp62 < 32000L");
2024-08-22T20:33:33.6323936Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:33:33.6325099Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:33:33.6326119Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:33:33.6326480Z       |         ^~~~
2024-08-22T20:33:33.6327611Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ccq6cebfrqkjq7wrehbiytfoiasei73s4lvm5zpxudfu6is522r3.cpp:596:89: note: did you mean to use logical not (‘!’)?
2024-08-22T20:33:33.6328989Z   596 |                 AOTI_TORCH_CHECK(((0 <= tmp62) & (tmp62 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp62 < 32000L");
2024-08-22T20:33:33.6329651Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:33:33.6331138Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:33:33.6332181Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:33:33.6332544Z       |         ^~~~
2024-08-22T20:33:44.4353940Z Using device=cpu
2024-08-22T20:33:44.4354553Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:33:44.4355168Z Loading model...
2024-08-22T20:33:44.4355589Z Time to load model: 0.02 seconds
2024-08-22T20:33:44.4356621Z Quantizing the model with: {'linear:int4': {'groupsize': 32}}
2024-08-22T20:33:44.4357367Z Time to quantize model: 0.20 seconds
2024-08-22T20:33:44.4357887Z -----------------------------------------------------------
2024-08-22T20:33:44.4358713Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:33:44.4361222Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:33:55.2040818Z 2024-08-22:20:33:55,203 INFO     [generate.py:846] 
2024-08-22T20:33:55.2042192Z Time for inference 1: 5.62 sec total, time to first token 0.17 sec with sequential prefill, 199 tokens, 35.40 tokens/sec, 28.25 ms/token
2024-08-22T20:33:55.2043743Z 2024-08-22:20:33:55,203 INFO     [generate.py:849] Bandwidth achieved: 3.46 GB/s
2024-08-22T20:33:55.2045371Z 2024-08-22:20:33:55,203 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:33:55.8606893Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:33:55.8608046Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:33:55.8609280Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:33:55.8609911Z Loading model...
2024-08-22T20:33:55.8610579Z Time to load model: 0.02 seconds
2024-08-22T20:33:55.8611288Z -----------------------------------------------------------
2024-08-22T20:33:55.8612999Z Hello, my name is Gus. He has a big, red ball. He likes to play with it. One day, he sees a big, red ball in the park. He wants to play with it. He runs to the ball and kicks it hard.
2024-08-22T20:33:55.8615628Z "Hey, that's my ball!" a girl says. She is looking for her ball. She sees Gus and runs to him. She grabs the ball and throws it back to him.
2024-08-22T20:33:55.8617590Z "Gus, give me my ball!" A boy says. He is holding the ball in his hand. He is happy. He likes to play with balls.
2024-08-22T20:33:55.8620110Z "Give me my ball!" A boy says. He is angry. He does not like to share. He kicks the ball hard. The ball flies in the air and hits a man. The man is not happy. He is angry.
2024-08-22T20:33:55.8621832Z "Hey, that's not nice!" a man says. He is the
2024-08-22T20:33:55.8622440Z ========================================
2024-08-22T20:33:55.8622837Z 
2024-08-22T20:33:55.8623006Z Average tokens/sec: 35.40
2024-08-22T20:33:55.8623469Z Memory used: 0.00 GB
2024-08-22T20:33:55.8756289Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:33:55.8764004Z cat: write error: Broken pipe
2024-08-22T20:33:55.8771549Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:33:55.8774410Z ############### Run inference with AOT Inductor for dtype bfloat16 ###############
2024-08-22T20:33:55.8775043Z 
2024-08-22T20:33:55.8775227Z ******************************************
2024-08-22T20:33:55.8775719Z ************** non-quantized *************
2024-08-22T20:33:55.8776095Z ******************************************
2024-08-22T20:34:26.6313601Z Using device=cpu
2024-08-22T20:34:26.6316711Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:34:26.6317289Z Loading model...
2024-08-22T20:34:26.6317677Z Time to load model: 0.03 seconds
2024-08-22T20:34:26.6318464Z -----------------------------------------------------------
2024-08-22T20:34:26.6319620Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:34:26.6321453Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:34:33.2650590Z 2024-08-22:20:34:33,264 INFO     [generate.py:846] 
2024-08-22T20:34:33.2651967Z Time for inference 1: 1.44 sec total, time to first token 0.04 sec with sequential prefill, 199 tokens, 138.31 tokens/sec, 7.23 ms/token
2024-08-22T20:34:33.2653491Z 2024-08-22:20:34:33,264 INFO     [generate.py:849] Bandwidth achieved: 6.75 GB/s
2024-08-22T20:34:33.2655153Z 2024-08-22:20:34:33,264 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:34:33.9298429Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:34:33.9300073Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:34:33.9301561Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:34:33.9302470Z Loading model...
2024-08-22T20:34:33.9302910Z Time to load model: 0.03 seconds
2024-08-22T20:34:33.9303504Z -----------------------------------------------------------
2024-08-22T20:34:33.9305316Z Hello, my name is Leo. He is three years old and he loves to play. He goes to the park with his mom and they have lots of fun. Lee loves to watch them play. He has a furry, fluffy dog who he wagging in excitement.
2024-08-22T20:34:33.9306888Z Mom and Leo watch the birds in the park. They think it feels like funny. They laugh and clap and cheer it on their faces. They are very happy.
2024-08-22T20:34:33.9309200Z Mom says Leo and Lee will play on the swings and the slide. They are having a great time. They are laughing and singing, and they are very tired.
2024-08-22T20:34:33.9310533Z Leo sees a big swing that he likes. He runs to the swing and pushes it with all his heart. He spins faster and faster. He feels the wind in his fur and he smiles.
2024-08-22T20:34:33.9311605Z Mom and Leo watch them play. They think they are beautiful and fancy. They are a family. One day
2024-08-22T20:34:33.9312176Z ========================================
2024-08-22T20:34:33.9312395Z 
2024-08-22T20:34:33.9312492Z Average tokens/sec: 138.31
2024-08-22T20:34:33.9312763Z Memory used: 0.00 GB
2024-08-22T20:34:33.9467607Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:34:33.9474143Z cat: write error: Broken pipe
2024-08-22T20:34:33.9483017Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:34:33.9485106Z ******************************************
2024-08-22T20:34:33.9485990Z ******* Emb: channel-wise quantized ******
2024-08-22T20:34:33.9486729Z ******************************************
2024-08-22T20:35:04.5361191Z Using device=cpu
2024-08-22T20:35:04.5364355Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:35:04.5364941Z Loading model...
2024-08-22T20:35:04.5365224Z Time to load model: 0.03 seconds
2024-08-22T20:35:04.5368404Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:35:04.5369286Z Time to quantize model: 0.02 seconds
2024-08-22T20:35:04.5370022Z -----------------------------------------------------------
2024-08-22T20:35:04.5371408Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:35:04.5372541Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:35:10.2729820Z 2024-08-22:20:35:10,272 INFO     [generate.py:846] 
2024-08-22T20:35:10.2731398Z Time for inference 1: 0.45 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 445.80 tokens/sec, 2.24 ms/token
2024-08-22T20:35:10.2732914Z 2024-08-22:20:35:10,272 INFO     [generate.py:849] Bandwidth achieved: 21.76 GB/s
2024-08-22T20:35:10.2734531Z 2024-08-22:20:35:10,272 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:35:10.8963439Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:35:10.8964356Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:35:10.8965517Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:35:10.8966062Z Loading model...
2024-08-22T20:35:10.8966336Z Time to load model: 0.03 seconds
2024-08-22T20:35:10.8966855Z -----------------------------------------------------------
2024-08-22T20:35:10.8968094Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:35:10.8970478Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide and slides down. She laughs and says, "Whee!"
2024-08-22T20:35:10.8973295Z Daisy goes on the slide again and again. She has so much fun. She sees her mommy and daddy. They are happy to see her. They say, "Good job, Daisy!" Daisy is happy too. She loves to play at the park. Once upon a time, there was a little girl named Lily. She loved to
2024-08-22T20:35:10.8974922Z ========================================
2024-08-22T20:35:10.8975166Z 
2024-08-22T20:35:10.8975270Z Average tokens/sec: 445.80
2024-08-22T20:35:10.8975561Z Memory used: 0.00 GB
2024-08-22T20:35:10.9110700Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:35:10.9118848Z cat: write error: Broken pipe
2024-08-22T20:35:10.9125906Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:35:10.9127480Z ******************************************
2024-08-22T20:35:10.9128099Z ******** Emb: group-wise quantized *******
2024-08-22T20:35:10.9128456Z ******************************************
2024-08-22T20:35:41.1648114Z Using device=cpu
2024-08-22T20:35:41.1651096Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:35:41.1651880Z Loading model...
2024-08-22T20:35:41.1652369Z Time to load model: 0.03 seconds
2024-08-22T20:35:41.1653603Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:35:41.1654551Z Time to quantize model: 0.03 seconds
2024-08-22T20:35:41.1656246Z -----------------------------------------------------------
2024-08-22T20:35:41.1657706Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:35:41.1660293Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:35:46.8040827Z 2024-08-22:20:35:46,803 INFO     [generate.py:846] 
2024-08-22T20:35:46.8042259Z Time for inference 1: 0.45 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 439.03 tokens/sec, 2.28 ms/token
2024-08-22T20:35:46.8043810Z 2024-08-22:20:35:46,803 INFO     [generate.py:849] Bandwidth achieved: 21.43 GB/s
2024-08-22T20:35:46.8045407Z 2024-08-22:20:35:46,803 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:35:47.4321404Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:35:47.4322697Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:35:47.4323652Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:35:47.4324104Z Loading model...
2024-08-22T20:35:47.4324450Z Time to load model: 0.03 seconds
2024-08-22T20:35:47.4324941Z -----------------------------------------------------------
2024-08-22T20:35:47.4328189Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:35:47.4330475Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide and slides down. She laughs and says, "Whee!"
2024-08-22T20:35:47.4332800Z Daisy goes on the slide again and again. She has so much fun. She sees her mommy and daddy. They are happy to see her. They say, "Good job, Daisy!" Daisy is happy too. She loves to play at the park. Once upon a time, there was a little girl named Lily. She loved to
2024-08-22T20:35:47.4334300Z ========================================
2024-08-22T20:35:47.4334705Z 
2024-08-22T20:35:47.4334826Z Average tokens/sec: 439.03
2024-08-22T20:35:47.4335162Z Memory used: 0.00 GB
2024-08-22T20:35:47.4466043Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:35:47.4473175Z cat: write error: Broken pipe
2024-08-22T20:35:47.4481011Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:35:47.4483400Z ***********************************************
2024-08-22T20:35:47.4484095Z ******* Emb: 4bit channel-wise quantized ******
2024-08-22T20:35:47.4484553Z ***********************************************
2024-08-22T20:36:18.0638542Z Using device=cpu
2024-08-22T20:36:18.0641194Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:36:18.0641705Z Loading model...
2024-08-22T20:36:18.0642047Z Time to load model: 0.03 seconds
2024-08-22T20:36:18.0643048Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 0, 'packed': 'True'}}
2024-08-22T20:36:18.0644278Z Time to quantize model: 0.03 seconds
2024-08-22T20:36:18.0644948Z -----------------------------------------------------------
2024-08-22T20:36:18.0646810Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:36:18.0648472Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:36:24.2688137Z 2024-08-22:20:36:24,268 INFO     [generate.py:846] 
2024-08-22T20:36:24.2689541Z Time for inference 1: 1.09 sec total, time to first token 0.03 sec with sequential prefill, 199 tokens, 182.73 tokens/sec, 5.47 ms/token
2024-08-22T20:36:24.2691416Z 2024-08-22:20:36:24,268 INFO     [generate.py:849] Bandwidth achieved: 8.92 GB/s
2024-08-22T20:36:24.2693100Z 2024-08-22:20:36:24,268 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:36:24.8637917Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:36:24.8639248Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:36:24.8640517Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:36:24.8640981Z Loading model...
2024-08-22T20:36:24.8641783Z Time to load model: 0.03 seconds
2024-08-22T20:36:24.8642589Z -----------------------------------------------------------
2024-08-22T20:36:24.8644461Z Hello, my name is Jack. He is three years old and he loves to explore. One day, he was walking through the park when he saw a big, shiny box. He was curious and he wanted to know what was inside. He opened the box and found a big, red ball. He was so excited and he wanted to play with it.
2024-08-22T20:36:24.8646526Z He asked his mom, "Mom, can I play with this ball?"
2024-08-22T20:36:24.8647580Z His mom said, "Yes, but be careful. It's very special and you have to be very careful."
2024-08-22T20:36:24.8648573Z Jack was so happy and he started to play with the ball. He threw it up in the air and it bounced off the ground. He laughed and he was so excited.
2024-08-22T20:36:24.8649834Z Suddenly, he heard a loud noise. He looked around and he saw a big, scary dog. The dog was barking and it was growling. Jack was scared and he started to cry.
2024-08-22T20:36:24.8650895Z His
2024-08-22T20:36:24.8651107Z ========================================
2024-08-22T20:36:24.8651326Z 
2024-08-22T20:36:24.8651436Z Average tokens/sec: 182.73
2024-08-22T20:36:24.8651700Z Memory used: 0.00 GB
2024-08-22T20:36:24.8782379Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:36:24.8788952Z cat: write error: Broken pipe
2024-08-22T20:36:24.8797141Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:36:24.8799329Z ***********************************************
2024-08-22T20:36:24.8800138Z ******** Emb: 4bit group-wise quantized *******
2024-08-22T20:36:24.8800759Z ***********************************************
2024-08-22T20:36:55.0308107Z Using device=cpu
2024-08-22T20:36:55.0310805Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:36:55.0311414Z Loading model...
2024-08-22T20:36:55.0311813Z Time to load model: 0.03 seconds
2024-08-22T20:36:55.0312934Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 8, 'packed': 'True'}}
2024-08-22T20:36:55.0313940Z Time to quantize model: 0.04 seconds
2024-08-22T20:36:55.0314579Z -----------------------------------------------------------
2024-08-22T20:36:55.0315842Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:36:55.0317852Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:37:00.9512480Z 2024-08-22:20:37:00,950 INFO     [generate.py:846] 
2024-08-22T20:37:00.9513860Z Time for inference 1: 1.05 sec total, time to first token 0.03 sec with sequential prefill, 199 tokens, 189.33 tokens/sec, 5.28 ms/token
2024-08-22T20:37:00.9515406Z 2024-08-22:20:37:00,951 INFO     [generate.py:849] Bandwidth achieved: 9.24 GB/s
2024-08-22T20:37:00.9517560Z 2024-08-22:20:37:00,951 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:37:01.5283968Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:37:01.5285257Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:37:01.5286435Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:37:01.5286819Z Loading model...
2024-08-22T20:37:01.5287074Z Time to load model: 0.03 seconds
2024-08-22T20:37:01.5287567Z -----------------------------------------------------------
2024-08-22T20:37:01.5288134Z Hello, my name is Daisy. Daisy is three years old. She loves to play with her toys.
2024-08-22T20:37:01.5289507Z One day, Daisy's mommy said, "Daisy, it's time to go to the store." Daisy was so excited! She ran to the car and said, "Mommy, can I go to the store?"
2024-08-22T20:37:01.5290948Z Mommy said, "Yes, Daisy. You can go to the store." Daisy was so happy. She ran to the store and got lots of toys.
2024-08-22T20:37:01.5292702Z When Daisy got home, she was so excited. She wanted to play with all of her toys. She opened the box and started to play. She played with her dolls, her blocks and her blocks.
2024-08-22T20:37:01.5294150Z Daisy had so much fun playing with all of her toys. She was so happy that she had a mommy who was so kind and helpful. Once upon a
2024-08-22T20:37:01.5294935Z ========================================
2024-08-22T20:37:01.5295235Z 
2024-08-22T20:37:01.5295347Z Average tokens/sec: 189.33
2024-08-22T20:37:01.5295625Z Memory used: 0.00 GB
2024-08-22T20:37:01.5429609Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:37:01.5436474Z cat: write error: Broken pipe
2024-08-22T20:37:01.5444259Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:37:01.5446572Z ******************************************
2024-08-22T20:37:01.5447184Z ******* INT8 channel-wise quantized ******
2024-08-22T20:37:01.5447547Z ******************************************
2024-08-22T20:37:33.4379285Z Using device=cpu
2024-08-22T20:37:33.4382852Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:37:33.4383658Z Loading model...
2024-08-22T20:37:33.4384113Z Time to load model: 0.03 seconds
2024-08-22T20:37:33.4385429Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:37:33.4386060Z Time to quantize model: 0.04 seconds
2024-08-22T20:37:33.4386571Z -----------------------------------------------------------
2024-08-22T20:37:33.4387993Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:37:33.4389770Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:37:39.4001854Z 2024-08-22:20:37:39,399 INFO     [generate.py:846] 
2024-08-22T20:37:39.4003179Z Time for inference 1: 1.08 sec total, time to first token 0.03 sec with sequential prefill, 199 tokens, 184.84 tokens/sec, 5.41 ms/token
2024-08-22T20:37:39.4004754Z 2024-08-22:20:37:39,400 INFO     [generate.py:849] Bandwidth achieved: 9.02 GB/s
2024-08-22T20:37:39.4006376Z 2024-08-22:20:37:39,400 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:37:39.9819083Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:37:39.9820356Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:37:39.9821312Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:37:39.9821771Z Loading model...
2024-08-22T20:37:39.9822205Z Time to load model: 0.03 seconds
2024-08-22T20:37:39.9823049Z -----------------------------------------------------------
2024-08-22T20:37:39.9824471Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:37:39.9827858Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide. She slides down. She laughs.
2024-08-22T20:37:39.9829633Z Daisy sees a boy. He is playing with a ball. He throws the ball to Daisy. Daisy runs to the ball. She picks it up. She throws it back to the boy. The boy catches the ball. He throws it back to Daisy. They play together. They have fun.
2024-08-22T20:37:39.9830841Z Daisy and the boy are friends. They like to play at
2024-08-22T20:37:39.9831236Z ========================================
2024-08-22T20:37:39.9831452Z 
2024-08-22T20:37:39.9831566Z Average tokens/sec: 184.84
2024-08-22T20:37:39.9831840Z Memory used: 0.00 GB
2024-08-22T20:37:39.9964206Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:37:39.9972997Z cat: write error: Broken pipe
2024-08-22T20:37:39.9978184Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:37:39.9980482Z ******************************************
2024-08-22T20:37:39.9981292Z ******** INT8 group-wise quantized *******
2024-08-22T20:37:39.9981663Z ******************************************
2024-08-22T20:38:12.3764070Z Using device=cpu
2024-08-22T20:38:12.3766955Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:38:12.3767578Z Loading model...
2024-08-22T20:38:12.3767905Z Time to load model: 0.03 seconds
2024-08-22T20:38:12.3769046Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:38:12.3769833Z Time to quantize model: 0.05 seconds
2024-08-22T20:38:12.3774128Z -----------------------------------------------------------
2024-08-22T20:38:12.3775473Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:38:12.3776865Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:38:18.5224945Z 2024-08-22:20:38:18,522 INFO     [generate.py:846] 
2024-08-22T20:38:18.5226377Z Time for inference 1: 1.26 sec total, time to first token 0.04 sec with sequential prefill, 199 tokens, 158.23 tokens/sec, 6.32 ms/token
2024-08-22T20:38:18.5227940Z 2024-08-22:20:38:18,522 INFO     [generate.py:849] Bandwidth achieved: 7.72 GB/s
2024-08-22T20:38:18.5229685Z 2024-08-22:20:38:18,522 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:38:19.0998832Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:38:19.0999752Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:38:19.1000751Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:38:19.1001167Z Loading model...
2024-08-22T20:38:19.1001429Z Time to load model: 0.03 seconds
2024-08-22T20:38:19.1001819Z -----------------------------------------------------------
2024-08-22T20:38:19.1003253Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:38:19.1005545Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and says, "Whee!"
2024-08-22T20:38:19.1007139Z Daisy's mommy claps and says, "Good job, Daisy! You are so brave!" Daisy smiles and says, "Thank you, mommy!"
2024-08-22T20:38:19.1008587Z Daisy and her mommy have a great day at the park. They play on the swings, the slide, and the seesaw. Daisy is very happy. She loves her mommy and her popular slide. Once upon a time, there was a little
2024-08-22T20:38:19.1009733Z ========================================
2024-08-22T20:38:19.1009956Z 
2024-08-22T20:38:19.1010062Z Average tokens/sec: 158.23
2024-08-22T20:38:19.1010953Z Memory used: 0.00 GB
2024-08-22T20:38:19.1145354Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:38:19.1151501Z cat: write error: Broken pipe
2024-08-22T20:38:19.1160445Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:38:19.1162237Z ******************************************
2024-08-22T20:38:19.1162827Z ******** INT4 group-wise quantized *******
2024-08-22T20:38:19.1163164Z ******************************************
2024-08-22T20:38:22.8123804Z 2024-08-22:20:38:22,812 INFO     [GPTQ.py:693] linear: layers.0.attention.wq, in=288, out=288
2024-08-22T20:38:22.8125463Z 2024-08-22:20:38:22,812 WARNING  [GPTQ.py:706] warning: layers.0.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8150313Z 2024-08-22:20:38:22,814 INFO     [GPTQ.py:693] linear: layers.0.attention.wk, in=288, out=288
2024-08-22T20:38:22.8151823Z 2024-08-22:20:38:22,814 WARNING  [GPTQ.py:706] warning: layers.0.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8166596Z 2024-08-22:20:38:22,816 INFO     [GPTQ.py:693] linear: layers.0.attention.wv, in=288, out=288
2024-08-22T20:38:22.8168581Z 2024-08-22:20:38:22,816 WARNING  [GPTQ.py:706] warning: layers.0.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8180626Z 2024-08-22:20:38:22,817 INFO     [GPTQ.py:693] linear: layers.0.attention.wo, in=288, out=288
2024-08-22T20:38:22.8182108Z 2024-08-22:20:38:22,818 WARNING  [GPTQ.py:706] warning: layers.0.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8192247Z 2024-08-22:20:38:22,819 INFO     [GPTQ.py:693] linear: layers.0.feed_forward.w1, in=288, out=768
2024-08-22T20:38:22.8193821Z 2024-08-22:20:38:22,819 WARNING  [GPTQ.py:706] warning: layers.0.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8220514Z 2024-08-22:20:38:22,821 INFO     [GPTQ.py:693] linear: layers.0.feed_forward.w2, in=768, out=288
2024-08-22T20:38:22.8233755Z 2024-08-22:20:38:22,823 INFO     [GPTQ.py:693] linear: layers.0.feed_forward.w3, in=288, out=768
2024-08-22T20:38:22.8235397Z 2024-08-22:20:38:22,823 WARNING  [GPTQ.py:706] warning: layers.0.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8268278Z 2024-08-22:20:38:22,826 INFO     [GPTQ.py:693] linear: layers.1.attention.wq, in=288, out=288
2024-08-22T20:38:22.8269798Z 2024-08-22:20:38:22,826 WARNING  [GPTQ.py:706] warning: layers.1.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8288102Z 2024-08-22:20:38:22,828 INFO     [GPTQ.py:693] linear: layers.1.attention.wk, in=288, out=288
2024-08-22T20:38:22.8289599Z 2024-08-22:20:38:22,828 WARNING  [GPTQ.py:706] warning: layers.1.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8300187Z 2024-08-22:20:38:22,829 INFO     [GPTQ.py:693] linear: layers.1.attention.wv, in=288, out=288
2024-08-22T20:38:22.8301672Z 2024-08-22:20:38:22,829 WARNING  [GPTQ.py:706] warning: layers.1.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8311972Z 2024-08-22:20:38:22,831 INFO     [GPTQ.py:693] linear: layers.1.attention.wo, in=288, out=288
2024-08-22T20:38:22.8313451Z 2024-08-22:20:38:22,831 WARNING  [GPTQ.py:706] warning: layers.1.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8323897Z 2024-08-22:20:38:22,832 INFO     [GPTQ.py:693] linear: layers.1.feed_forward.w1, in=288, out=768
2024-08-22T20:38:22.8325542Z 2024-08-22:20:38:22,832 WARNING  [GPTQ.py:706] warning: layers.1.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8352591Z 2024-08-22:20:38:22,835 INFO     [GPTQ.py:693] linear: layers.1.feed_forward.w2, in=768, out=288
2024-08-22T20:38:22.8369540Z 2024-08-22:20:38:22,836 INFO     [GPTQ.py:693] linear: layers.1.feed_forward.w3, in=288, out=768
2024-08-22T20:38:22.8371353Z 2024-08-22:20:38:22,836 WARNING  [GPTQ.py:706] warning: layers.1.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8401975Z 2024-08-22:20:38:22,840 INFO     [GPTQ.py:693] linear: layers.2.attention.wq, in=288, out=288
2024-08-22T20:38:22.8404024Z 2024-08-22:20:38:22,840 WARNING  [GPTQ.py:706] warning: layers.2.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8422508Z 2024-08-22:20:38:22,842 INFO     [GPTQ.py:693] linear: layers.2.attention.wk, in=288, out=288
2024-08-22T20:38:22.8424040Z 2024-08-22:20:38:22,842 WARNING  [GPTQ.py:706] warning: layers.2.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8434425Z 2024-08-22:20:38:22,843 INFO     [GPTQ.py:693] linear: layers.2.attention.wv, in=288, out=288
2024-08-22T20:38:22.8435909Z 2024-08-22:20:38:22,843 WARNING  [GPTQ.py:706] warning: layers.2.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8446158Z 2024-08-22:20:38:22,844 INFO     [GPTQ.py:693] linear: layers.2.attention.wo, in=288, out=288
2024-08-22T20:38:22.8447635Z 2024-08-22:20:38:22,844 WARNING  [GPTQ.py:706] warning: layers.2.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8458793Z 2024-08-22:20:38:22,845 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w1, in=288, out=768
2024-08-22T20:38:22.8460778Z 2024-08-22:20:38:22,845 WARNING  [GPTQ.py:706] warning: layers.2.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8489882Z 2024-08-22:20:38:22,848 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w2, in=768, out=288
2024-08-22T20:38:22.8504491Z 2024-08-22:20:38:22,850 INFO     [GPTQ.py:693] linear: layers.2.feed_forward.w3, in=288, out=768
2024-08-22T20:38:22.8506155Z 2024-08-22:20:38:22,850 WARNING  [GPTQ.py:706] warning: layers.2.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8533885Z 2024-08-22:20:38:22,853 INFO     [GPTQ.py:693] linear: layers.3.attention.wq, in=288, out=288
2024-08-22T20:38:22.8535382Z 2024-08-22:20:38:22,853 WARNING  [GPTQ.py:706] warning: layers.3.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8550667Z 2024-08-22:20:38:22,854 INFO     [GPTQ.py:693] linear: layers.3.attention.wk, in=288, out=288
2024-08-22T20:38:22.8552207Z 2024-08-22:20:38:22,855 WARNING  [GPTQ.py:706] warning: layers.3.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8565842Z 2024-08-22:20:38:22,856 INFO     [GPTQ.py:693] linear: layers.3.attention.wv, in=288, out=288
2024-08-22T20:38:22.8567364Z 2024-08-22:20:38:22,856 WARNING  [GPTQ.py:706] warning: layers.3.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8577880Z 2024-08-22:20:38:22,857 INFO     [GPTQ.py:693] linear: layers.3.attention.wo, in=288, out=288
2024-08-22T20:38:22.8579377Z 2024-08-22:20:38:22,857 WARNING  [GPTQ.py:706] warning: layers.3.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8590818Z 2024-08-22:20:38:22,858 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w1, in=288, out=768
2024-08-22T20:38:22.8592459Z 2024-08-22:20:38:22,859 WARNING  [GPTQ.py:706] warning: layers.3.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8620904Z 2024-08-22:20:38:22,861 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w2, in=768, out=288
2024-08-22T20:38:22.8635969Z 2024-08-22:20:38:22,863 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w3, in=288, out=768
2024-08-22T20:38:22.8637563Z 2024-08-22:20:38:22,863 WARNING  [GPTQ.py:706] warning: layers.3.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8666492Z 2024-08-22:20:38:22,866 INFO     [GPTQ.py:693] linear: layers.4.attention.wq, in=288, out=288
2024-08-22T20:38:22.8672569Z 2024-08-22:20:38:22,867 WARNING  [GPTQ.py:706] warning: layers.4.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8687144Z 2024-08-22:20:38:22,868 INFO     [GPTQ.py:693] linear: layers.4.attention.wk, in=288, out=288
2024-08-22T20:38:22.8688656Z 2024-08-22:20:38:22,868 WARNING  [GPTQ.py:706] warning: layers.4.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8699323Z 2024-08-22:20:38:22,869 INFO     [GPTQ.py:693] linear: layers.4.attention.wv, in=288, out=288
2024-08-22T20:38:22.8701298Z 2024-08-22:20:38:22,869 WARNING  [GPTQ.py:706] warning: layers.4.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8711224Z 2024-08-22:20:38:22,870 INFO     [GPTQ.py:693] linear: layers.4.attention.wo, in=288, out=288
2024-08-22T20:38:22.8712724Z 2024-08-22:20:38:22,871 WARNING  [GPTQ.py:706] warning: layers.4.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8722996Z 2024-08-22:20:38:22,872 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w1, in=288, out=768
2024-08-22T20:38:22.8724582Z 2024-08-22:20:38:22,872 WARNING  [GPTQ.py:706] warning: layers.4.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8751495Z 2024-08-22:20:38:22,874 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w2, in=768, out=288
2024-08-22T20:38:22.8766388Z 2024-08-22:20:38:22,876 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w3, in=288, out=768
2024-08-22T20:38:22.8768024Z 2024-08-22:20:38:22,876 WARNING  [GPTQ.py:706] warning: layers.4.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8802764Z 2024-08-22:20:38:22,880 INFO     [GPTQ.py:693] linear: layers.5.attention.wq, in=288, out=288
2024-08-22T20:38:22.8807902Z 2024-08-22:20:38:22,880 WARNING  [GPTQ.py:706] warning: layers.5.attention.wq is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8821020Z 2024-08-22:20:38:22,881 INFO     [GPTQ.py:693] linear: layers.5.attention.wk, in=288, out=288
2024-08-22T20:38:22.8822533Z 2024-08-22:20:38:22,882 WARNING  [GPTQ.py:706] warning: layers.5.attention.wk is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8833461Z 2024-08-22:20:38:22,883 INFO     [GPTQ.py:693] linear: layers.5.attention.wv, in=288, out=288
2024-08-22T20:38:22.8834956Z 2024-08-22:20:38:22,883 WARNING  [GPTQ.py:706] warning: layers.5.attention.wv is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8845202Z 2024-08-22:20:38:22,884 INFO     [GPTQ.py:693] linear: layers.5.attention.wo, in=288, out=288
2024-08-22T20:38:22.8846721Z 2024-08-22:20:38:22,884 WARNING  [GPTQ.py:706] warning: layers.5.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8857471Z 2024-08-22:20:38:22,885 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w1, in=288, out=768
2024-08-22T20:38:22.8859058Z 2024-08-22:20:38:22,885 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8886758Z 2024-08-22:20:38:22,888 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w2, in=768, out=288
2024-08-22T20:38:22.8895910Z 2024-08-22:20:38:22,889 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w3, in=288, out=768
2024-08-22T20:38:22.8897488Z 2024-08-22:20:38:22,889 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:22.8933366Z 2024-08-22:20:38:22,893 INFO     [GPTQ.py:693] linear: output, in=288, out=32000
2024-08-22T20:38:22.8940256Z 2024-08-22:20:38:22,893 WARNING  [GPTQ.py:706] warning: output is padded to satisfy in_features % 1024 == 0
2024-08-22T20:38:39.6237426Z In file included from /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:14,
2024-08-22T20:38:39.6240389Z                  from /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/arrayref_tensor.h:3,
2024-08-22T20:38:39.6242164Z                  from /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/csfvinpuvr2q7ctscnt3ijq4wuyhcamzlvsell676tq6rm2efyzp.cpp:1:
2024-08-22T20:38:39.6244106Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/csfvinpuvr2q7ctscnt3ijq4wuyhcamzlvsell676tq6rm2efyzp.cpp: In lambda function:
2024-08-22T20:38:39.6246169Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/csfvinpuvr2q7ctscnt3ijq4wuyhcamzlvsell676tq6rm2efyzp.cpp:515:89: warning: ‘~’ on an expression of type ‘bool’ [-Wbool-operation]
2024-08-22T20:38:39.6248116Z   515 |                 AOTI_TORCH_CHECK(((0 <= tmp14) & (tmp14 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp14 < 32000L");
2024-08-22T20:38:39.6248815Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:38:39.6250047Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:38:39.6251438Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:38:39.6251956Z       |         ^~~~
2024-08-22T20:38:39.6253641Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/csfvinpuvr2q7ctscnt3ijq4wuyhcamzlvsell676tq6rm2efyzp.cpp:515:89: note: did you mean to use logical not (‘!’)?
2024-08-22T20:38:39.6255066Z   515 |                 AOTI_TORCH_CHECK(((0 <= tmp14) & (tmp14 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp14 < 32000L");
2024-08-22T20:38:39.6255968Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:38:39.6257165Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:38:39.6258189Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:38:39.6258548Z       |         ^~~~
2024-08-22T20:38:39.6259438Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/csfvinpuvr2q7ctscnt3ijq4wuyhcamzlvsell676tq6rm2efyzp.cpp: In lambda function:
2024-08-22T20:38:39.6261346Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/csfvinpuvr2q7ctscnt3ijq4wuyhcamzlvsell676tq6rm2efyzp.cpp:560:89: warning: ‘~’ on an expression of type ‘bool’ [-Wbool-operation]
2024-08-22T20:38:39.6262773Z   560 |                 AOTI_TORCH_CHECK(((0 <= tmp42) & (tmp42 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp42 < 32000L");
2024-08-22T20:38:39.6263453Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:38:39.6264594Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:38:39.6265650Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:38:39.6266262Z       |         ^~~~
2024-08-22T20:38:39.6267669Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/csfvinpuvr2q7ctscnt3ijq4wuyhcamzlvsell676tq6rm2efyzp.cpp:560:89: note: did you mean to use logical not (‘!’)?
2024-08-22T20:38:39.6269026Z   560 |                 AOTI_TORCH_CHECK(((0 <= tmp42) & (tmp42 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp42 < 32000L");
2024-08-22T20:38:39.6269690Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:38:39.6270879Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:38:39.6271882Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:38:39.6272232Z       |         ^~~~
2024-08-22T20:38:39.6273114Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/csfvinpuvr2q7ctscnt3ijq4wuyhcamzlvsell676tq6rm2efyzp.cpp: In lambda function:
2024-08-22T20:38:39.6275017Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/csfvinpuvr2q7ctscnt3ijq4wuyhcamzlvsell676tq6rm2efyzp.cpp:605:89: warning: ‘~’ on an expression of type ‘bool’ [-Wbool-operation]
2024-08-22T20:38:39.6276427Z   605 |                 AOTI_TORCH_CHECK(((0 <= tmp70) & (tmp70 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp70 < 32000L");
2024-08-22T20:38:39.6277289Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:38:39.6278444Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:38:39.6279485Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:38:39.6279831Z       |         ^~~~
2024-08-22T20:38:39.6280957Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/csfvinpuvr2q7ctscnt3ijq4wuyhcamzlvsell676tq6rm2efyzp.cpp:605:89: note: did you mean to use logical not (‘!’)?
2024-08-22T20:38:39.6282317Z   605 |                 AOTI_TORCH_CHECK(((0 <= tmp70) & (tmp70 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp70 < 32000L");
2024-08-22T20:38:39.6282978Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:38:39.6284127Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:38:39.6285269Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:38:39.6285639Z       |         ^~~~
2024-08-22T20:38:49.9828520Z Using device=cpu
2024-08-22T20:38:49.9829105Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:38:49.9829526Z Loading model...
2024-08-22T20:38:49.9829850Z Time to load model: 0.03 seconds
2024-08-22T20:38:49.9830773Z Quantizing the model with: {'linear:int4': {'groupsize': 32}}
2024-08-22T20:38:49.9831634Z Time to quantize model: 0.19 seconds
2024-08-22T20:38:49.9832528Z -----------------------------------------------------------
2024-08-22T20:38:49.9833747Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:38:49.9835104Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:38:55.2417579Z 2024-08-22:20:38:55,241 INFO     [generate.py:846] 
2024-08-22T20:38:55.2418917Z Time for inference 1: 0.40 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 498.85 tokens/sec, 2.00 ms/token
2024-08-22T20:38:55.2420442Z 2024-08-22:20:38:55,241 INFO     [generate.py:849] Bandwidth achieved: 24.35 GB/s
2024-08-22T20:38:55.2422052Z 2024-08-22:20:38:55,241 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:38:55.8104054Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:38:55.8105367Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:38:55.8106412Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:38:55.8106775Z Loading model...
2024-08-22T20:38:55.8107029Z Time to load model: 0.03 seconds
2024-08-22T20:38:55.8107572Z -----------------------------------------------------------
2024-08-22T20:38:55.8108927Z Hello, my name is Gus. He has a big, red mustache. He loves to play with his friends. One day, Gus's friends wanted to play a game. They asked Gus to join in, but he said no. He said he was too busy playing.
2024-08-22T20:38:55.8110938Z His friends were sad and didn't know what to do. They decided to play a different game. They played hide and seek, and Gus was very good at hiding. He found a great hiding spot behind a big tree.
2024-08-22T20:38:55.8114474Z After a while, Gus's friends found him and they all laughed. Gus felt happy that he was able to play a different game. He realized that it was more fun to play with his friends than to play alone. From that day on, Gus was happy to play with his friends and his big, red mustache. Once upon a time, there was a little girl named Lily. She loved to play outside in the park.
2024-08-22T20:38:55.8116194Z ========================================
2024-08-22T20:38:55.8117366Z 
2024-08-22T20:38:55.8117489Z Average tokens/sec: 498.85
2024-08-22T20:38:55.8117806Z Memory used: 0.00 GB
2024-08-22T20:38:55.8250817Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:38:55.8256617Z cat: write error: Broken pipe
2024-08-22T20:38:55.8264555Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:38:55.8267295Z ############### Run inference with AOT Inductor for dtype float16 ###############
2024-08-22T20:38:55.8267919Z 
2024-08-22T20:38:55.8268087Z ******************************************
2024-08-22T20:38:55.8268547Z ************** non-quantized *************
2024-08-22T20:38:55.8268871Z ******************************************
2024-08-22T20:39:25.3135273Z Using device=cpu
2024-08-22T20:39:25.3137244Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:39:25.3137872Z Loading model...
2024-08-22T20:39:25.3138194Z Time to load model: 0.03 seconds
2024-08-22T20:39:25.3140820Z -----------------------------------------------------------
2024-08-22T20:39:25.3141687Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:39:25.3143589Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:39:31.5596772Z 2024-08-22:20:39:31,559 INFO     [generate.py:846] 
2024-08-22T20:39:31.5598086Z Time for inference 1: 1.40 sec total, time to first token 0.04 sec with sequential prefill, 199 tokens, 142.29 tokens/sec, 7.03 ms/token
2024-08-22T20:39:31.5599573Z 2024-08-22:20:39:31,559 INFO     [generate.py:849] Bandwidth achieved: 6.95 GB/s
2024-08-22T20:39:31.5601163Z 2024-08-22:20:39:31,559 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:39:32.1432150Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:39:32.1433455Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:39:32.1434771Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:39:32.1435385Z Loading model...
2024-08-22T20:39:32.1435877Z Time to load model: 0.03 seconds
2024-08-22T20:39:32.1436417Z -----------------------------------------------------------
2024-08-22T20:39:32.1437372Z Hello, my name is Harry and I, the year this year I'm a kind man". He was very happy and he smiled and waved his hands. He was out to explore the world. 
2024-08-22T20:39:32.1438642Z Every day, Harry would go for a walk by the lake. He would watch the fish and the birds and he would feed the ducks with bread. 
2024-08-22T20:39:32.1439612Z One day, Harry wanted to release a special surprise. He asked the ducks: "Can I release a fish?" 
2024-08-22T20:39:32.1440666Z The ducks said: "Yes! We can release a frog!" Then Harry ran to find a frog. He found the frog and with a big smile, he released it into the water. 
2024-08-22T20:39:32.1442277Z The frog hopped into the lake and Harry cheered. The frog jumped into the lake and swam away. Harry was really happy and he smiled with joy. He had released a special surprise and a happy day for everyone. Once upon a time, there was a
2024-08-22T20:39:32.1444060Z ========================================
2024-08-22T20:39:32.1444433Z 
2024-08-22T20:39:32.1444595Z Average tokens/sec: 142.29
2024-08-22T20:39:32.1444940Z Memory used: 0.00 GB
2024-08-22T20:39:32.1578519Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:39:32.1585601Z cat: write error: Broken pipe
2024-08-22T20:39:32.1593039Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:39:32.1595205Z ******************************************
2024-08-22T20:39:32.1595950Z ******* Emb: channel-wise quantized ******
2024-08-22T20:39:32.1596553Z ******************************************
2024-08-22T20:40:01.5979613Z Using device=cpu
2024-08-22T20:40:01.5981391Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:40:01.5982125Z Loading model...
2024-08-22T20:40:01.5983298Z Time to load model: 0.03 seconds
2024-08-22T20:40:01.5985409Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:40:01.5986159Z Time to quantize model: 0.02 seconds
2024-08-22T20:40:01.5986602Z -----------------------------------------------------------
2024-08-22T20:40:01.5987358Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:40:01.5988443Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:40:06.9293945Z 2024-08-22:20:40:06,929 INFO     [generate.py:846] 
2024-08-22T20:40:06.9295268Z Time for inference 1: 0.44 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 455.65 tokens/sec, 2.19 ms/token
2024-08-22T20:40:06.9296798Z 2024-08-22:20:40:06,929 INFO     [generate.py:849] Bandwidth achieved: 22.24 GB/s
2024-08-22T20:40:06.9298414Z 2024-08-22:20:40:06,929 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:40:07.5016474Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:40:07.5017489Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:40:07.5018741Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:40:07.5019334Z Loading model...
2024-08-22T20:40:07.5019728Z Time to load model: 0.03 seconds
2024-08-22T20:40:07.5020362Z -----------------------------------------------------------
2024-08-22T20:40:07.5021648Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:40:07.5023928Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and shouts. She feels the wind in her hair.
2024-08-22T20:40:07.5025370Z Daisy sees a boy. He is playing with a ball. He is throwing the ball to his friend. Daisy wants to play too. She runs to the boy and says, "Can I play with you?"
2024-08-22T20:40:07.5026534Z The boy looks at Daisy. He sees her smiling. He smiles back. He says, "Sure, you can play with me. What do you want to play?"
2024-08-22T20:40:07.5027182Z Daisy says, "I want
2024-08-22T20:40:07.5027431Z ========================================
2024-08-22T20:40:07.5027644Z 
2024-08-22T20:40:07.5027740Z Average tokens/sec: 455.65
2024-08-22T20:40:07.5028008Z Memory used: 0.00 GB
2024-08-22T20:40:07.5161656Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:40:07.5169723Z cat: write error: Broken pipe
2024-08-22T20:40:07.5176852Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:40:07.5178814Z ******************************************
2024-08-22T20:40:07.5179400Z ******** Emb: group-wise quantized *******
2024-08-22T20:40:07.5179753Z ******************************************
2024-08-22T20:40:37.3626253Z Using device=cpu
2024-08-22T20:40:37.3628185Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:40:37.3628852Z Loading model...
2024-08-22T20:40:37.3629177Z Time to load model: 0.03 seconds
2024-08-22T20:40:37.3630090Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:40:37.3631448Z Time to quantize model: 0.03 seconds
2024-08-22T20:40:37.3632349Z -----------------------------------------------------------
2024-08-22T20:40:37.3633327Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:40:37.3634690Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:40:42.6886332Z 2024-08-22:20:40:42,688 INFO     [generate.py:846] 
2024-08-22T20:40:42.6887620Z Time for inference 1: 0.44 sec total, time to first token 0.01 sec with sequential prefill, 199 tokens, 457.34 tokens/sec, 2.19 ms/token
2024-08-22T20:40:42.6890470Z 2024-08-22:20:40:42,688 INFO     [generate.py:849] Bandwidth achieved: 22.33 GB/s
2024-08-22T20:40:42.6892094Z 2024-08-22:20:40:42,688 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:40:43.2516540Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:40:43.2518006Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:40:43.2518983Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:40:43.2519429Z Loading model...
2024-08-22T20:40:43.2519722Z Time to load model: 0.03 seconds
2024-08-22T20:40:43.2520200Z -----------------------------------------------------------
2024-08-22T20:40:43.2521464Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:40:43.2523523Z Daisy sees a big slide. She wants to go on it. She runs to the slide and climbs up the ladder. She sits on the top and slides down. She laughs and says, "Whee!"
2024-08-22T20:40:43.2525005Z Daisy's mommy claps and says, "Good job, Daisy! You are so brave!" Daisy smiles and says, "Thank you, mommy!"
2024-08-22T20:40:43.2526595Z Daisy and her mommy have a great day at the park. They play on the swings, slide down the slide, and run in the grass. Daisy is very happy. She loves her mommy and her popular slide. Once upon a time, there
2024-08-22T20:40:43.2527692Z ========================================
2024-08-22T20:40:43.2527904Z 
2024-08-22T20:40:43.2528006Z Average tokens/sec: 457.34
2024-08-22T20:40:43.2528267Z Memory used: 0.00 GB
2024-08-22T20:40:43.2661989Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:40:43.2668881Z cat: write error: Broken pipe
2024-08-22T20:40:43.2676737Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:40:43.2679020Z ***********************************************
2024-08-22T20:40:43.2679716Z ******* Emb: 4bit channel-wise quantized ******
2024-08-22T20:40:43.2680099Z ***********************************************
2024-08-22T20:41:12.8878633Z Using device=cpu
2024-08-22T20:41:12.8879209Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:41:12.8880348Z Loading model...
2024-08-22T20:41:12.8880778Z Time to load model: 0.03 seconds
2024-08-22T20:41:12.8881852Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 0, 'packed': 'True'}}
2024-08-22T20:41:12.8882747Z Time to quantize model: 0.03 seconds
2024-08-22T20:41:12.8883384Z -----------------------------------------------------------
2024-08-22T20:41:12.8884534Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:41:12.8886248Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:41:18.8325252Z 2024-08-22:20:41:18,832 INFO     [generate.py:846] 
2024-08-22T20:41:18.8326582Z Time for inference 1: 1.04 sec total, time to first token 0.03 sec with sequential prefill, 199 tokens, 190.96 tokens/sec, 5.24 ms/token
2024-08-22T20:41:18.8328080Z 2024-08-22:20:41:18,832 INFO     [generate.py:849] Bandwidth achieved: 9.32 GB/s
2024-08-22T20:41:18.8329662Z 2024-08-22:20:41:18,832 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:41:19.4034537Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:41:19.4035516Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:41:19.4036556Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:41:19.4037011Z Loading model...
2024-08-22T20:41:19.4037260Z Time to load model: 0.03 seconds
2024-08-22T20:41:19.4037648Z -----------------------------------------------------------
2024-08-22T20:41:19.4039752Z Hello, my name is Jack. He is three years old and he loves to explore. One day, he was walking through the park when he saw a big, tall tree. He wanted to climb it, so he started to climb.
2024-08-22T20:41:19.4041101Z Suddenly, he heard a voice. "Hey, what are you doing?" It was his friend, Sarah.
2024-08-22T20:41:19.4042068Z Jack replied, "I'm climbing the tree. I want to see what's up there."
2024-08-22T20:41:19.4042962Z Sarah said, "No, it's too high. You might get hurt."
2024-08-22T20:41:19.4044549Z Jack was sad, but he kept climbing. He reached the top and looked out. He saw a beautiful view of the park and he was so happy. He shouted, "I'm so glad I climbed the tree!"
2024-08-22T20:41:19.4045762Z Sarah smiled and said, "Me too. I'm glad you're safe." Once upon a time, there was a little girl named L
2024-08-22T20:41:19.4046352Z ========================================
2024-08-22T20:41:19.4046568Z 
2024-08-22T20:41:19.4046666Z Average tokens/sec: 190.96
2024-08-22T20:41:19.4046950Z Memory used: 0.00 GB
2024-08-22T20:41:19.4179698Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:41:19.4185536Z cat: write error: Broken pipe
2024-08-22T20:41:19.4195597Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:41:19.4197800Z ***********************************************
2024-08-22T20:41:19.4198403Z ******** Emb: 4bit group-wise quantized *******
2024-08-22T20:41:19.4198759Z ***********************************************
2024-08-22T20:41:49.1211546Z Using device=cpu
2024-08-22T20:41:49.1213342Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:41:49.1214112Z Loading model...
2024-08-22T20:41:49.1214595Z Time to load model: 0.03 seconds
2024-08-22T20:41:49.1215965Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 8, 'packed': 'True'}}
2024-08-22T20:41:49.1216862Z Time to quantize model: 0.03 seconds
2024-08-22T20:41:49.1217373Z -----------------------------------------------------------
2024-08-22T20:41:49.1219242Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:41:49.1220651Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:41:54.9560759Z 2024-08-22:20:41:54,955 INFO     [generate.py:846] 
2024-08-22T20:41:54.9562084Z Time for inference 1: 0.97 sec total, time to first token 0.03 sec with sequential prefill, 199 tokens, 205.43 tokens/sec, 4.87 ms/token
2024-08-22T20:41:54.9563612Z 2024-08-22:20:41:54,955 INFO     [generate.py:849] Bandwidth achieved: 10.03 GB/s
2024-08-22T20:41:54.9565209Z 2024-08-22:20:41:54,955 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:41:55.5238760Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:41:55.5239640Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:41:55.5240854Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:41:55.5241461Z Loading model...
2024-08-22T20:41:55.5241901Z Time to load model: 0.03 seconds
2024-08-22T20:41:55.5242608Z -----------------------------------------------------------
2024-08-22T20:41:55.5243583Z Hello, my name is Daisy. Daisy is three years old. She loves to play with her friends.
2024-08-22T20:41:55.5245369Z One day, Daisy and her friends were playing in the park. They were having lots of fun. Suddenly, Daisy saw a big, red ball. She wanted to play with it.
2024-08-22T20:41:55.5247022Z Daisy asked her friends, "Can I play with the ball?"
2024-08-22T20:41:55.5247717Z Her friends said, "Yes, of course!"
2024-08-22T20:41:55.5248917Z Daisy was so happy. She ran to the ball and started to play. She kicked the ball and it went flying. Daisy was so excited.
2024-08-22T20:41:55.5250698Z Daisy and her friends played with the ball all day. They laughed and had so much fun.
2024-08-22T20:41:55.5252407Z At the end of the day, Daisy said, "Thank you for playing with me. I had so much fun!"
2024-08-22T20:41:55.5253635Z Her friends said, "We had fun too! Let's play again soon!"
2024-08-22T20:41:55.5254344Z Daisy smiled
2024-08-22T20:41:55.5254733Z ========================================
2024-08-22T20:41:55.5255108Z 
2024-08-22T20:41:55.5255272Z Average tokens/sec: 205.43
2024-08-22T20:41:55.5255539Z Memory used: 0.00 GB
2024-08-22T20:41:55.5386223Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:41:55.5393199Z cat: write error: Broken pipe
2024-08-22T20:41:55.5400806Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:41:55.5402879Z ******************************************
2024-08-22T20:41:55.5403339Z ******* INT8 channel-wise quantized ******
2024-08-22T20:41:55.5403677Z ******************************************
2024-08-22T20:42:27.7455672Z Using device=cpu
2024-08-22T20:42:27.7457362Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:42:27.7457780Z Loading model...
2024-08-22T20:42:27.7458044Z Time to load model: 0.03 seconds
2024-08-22T20:42:27.7459955Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 0}}
2024-08-22T20:42:27.7460813Z Time to quantize model: 0.04 seconds
2024-08-22T20:42:27.7464789Z -----------------------------------------------------------
2024-08-22T20:42:27.7465873Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:42:27.7467019Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:42:33.7815085Z 2024-08-22:20:42:33,781 INFO     [generate.py:846] 
2024-08-22T20:42:33.7816395Z Time for inference 1: 1.09 sec total, time to first token 0.03 sec with sequential prefill, 199 tokens, 182.65 tokens/sec, 5.48 ms/token
2024-08-22T20:42:33.7817899Z 2024-08-22:20:42:33,781 INFO     [generate.py:849] Bandwidth achieved: 8.92 GB/s
2024-08-22T20:42:33.7819531Z 2024-08-22:20:42:33,781 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:42:34.3558823Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:42:34.3560396Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:42:34.3561793Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:42:34.3562250Z Loading model...
2024-08-22T20:42:34.3562563Z Time to load model: 0.03 seconds
2024-08-22T20:42:34.3563045Z -----------------------------------------------------------
2024-08-22T20:42:34.3564071Z Hello, my name is Daisy. Daisy is very popular. Everyone wants to be her friend. One day, Daisy's mommy takes her to the park. Daisy is so excited! She loves to play.
2024-08-22T20:42:34.3565668Z Daisy sees a big slide. She wants to go on it. Daisy's mommy says, "Yes, you can go on the slide." Daisy runs to the slide. She climbs up the steps. She sits on the slide. She slides down. She laughs.
2024-08-22T20:42:34.3567938Z Daisy sees a boy. He is playing with a ball. He throws the ball to Daisy. Daisy runs to the ball. She picks it up. She throws it back to the boy. The boy catches the ball. He throws it back to Daisy. They play together. They have fun.
2024-08-22T20:42:34.3569478Z Daisy and the boy are friends. They like to play at
2024-08-22T20:42:34.3569856Z ========================================
2024-08-22T20:42:34.3570076Z 
2024-08-22T20:42:34.3570700Z Average tokens/sec: 182.65
2024-08-22T20:42:34.3571022Z Memory used: 0.00 GB
2024-08-22T20:42:34.3705823Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:42:34.3712370Z cat: write error: Broken pipe
2024-08-22T20:42:34.3720363Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:42:34.3722552Z ******************************************
2024-08-22T20:42:34.3723145Z ******** INT8 group-wise quantized *******
2024-08-22T20:42:34.3723779Z ******************************************
2024-08-22T20:43:06.6364024Z Using device=cpu
2024-08-22T20:43:06.6365967Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:43:06.6366752Z Loading model...
2024-08-22T20:43:06.6367274Z Time to load model: 0.03 seconds
2024-08-22T20:43:06.6368595Z Quantizing the model with: {'linear:int8': {'bitwidth': 8, 'groupsize': 8}}
2024-08-22T20:43:06.6369283Z Time to quantize model: 0.05 seconds
2024-08-22T20:43:06.6369789Z -----------------------------------------------------------
2024-08-22T20:43:06.6371057Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:43:06.6372429Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:43:13.0051652Z 2024-08-22:20:43:13,004 INFO     [generate.py:846] 
2024-08-22T20:43:13.0052936Z Time for inference 1: 1.49 sec total, time to first token 0.04 sec with sequential prefill, 199 tokens, 133.78 tokens/sec, 7.47 ms/token
2024-08-22T20:43:13.0054477Z 2024-08-22:20:43:13,005 INFO     [generate.py:849] Bandwidth achieved: 6.53 GB/s
2024-08-22T20:43:13.0056818Z 2024-08-22:20:43:13,005 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:43:13.5726259Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:43:13.5727184Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:43:13.5728104Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:43:13.5730820Z Loading model...
2024-08-22T20:43:13.5731306Z Time to load model: 0.03 seconds
2024-08-22T20:43:13.5732051Z -----------------------------------------------------------
2024-08-22T20:43:13.5733108Z Hello, my name is Daisy. Daisy is a very happy girl. She loves to play with her friends.
2024-08-22T20:43:13.5734702Z One day, Daisy and her friends were playing in the park. They were having lots of fun. Suddenly, Daisy saw a big, red ball. She wanted to play with it.
2024-08-22T20:43:13.5735997Z Daisy asked her friends, "Can I play with the ball?" Her friends said, "Yes, but be careful. It is very big."
2024-08-22T20:43:13.5736785Z Daisy was so excited. She ran to the ball and started to play. She was very happy.
2024-08-22T20:43:13.5740223Z Daisy and her friends played with the big, red ball all day. They laughed and had a great time. They were so happy to be together. Once upon a time, there was a little girl named Lily. She loved to play outside in the sunshine. One day, she saw a big, red ball in the sky. It was the sun!
2024-08-22T20:43:13.5742457Z ========================================
2024-08-22T20:43:13.5742699Z 
2024-08-22T20:43:13.5742807Z Average tokens/sec: 133.78
2024-08-22T20:43:13.5743074Z Memory used: 0.00 GB
2024-08-22T20:43:13.5874155Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:43:13.5881671Z cat: write error: Broken pipe
2024-08-22T20:43:13.5888046Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:43:13.5889934Z ******************************************
2024-08-22T20:43:13.5890842Z ******** INT4 group-wise quantized *******
2024-08-22T20:43:13.5891260Z ******************************************
2024-08-22T20:43:17.2775406Z 2024-08-22:20:43:17,277 INFO     [GPTQ.py:693] linear: layers.0.attention.wq, in=288, out=288
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2024-08-22T20:43:17.3195953Z 2024-08-22:20:43:17,319 INFO     [GPTQ.py:693] linear: layers.3.attention.wq, in=288, out=288
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2024-08-22T20:43:17.3250044Z 2024-08-22:20:43:17,324 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w1, in=288, out=768
2024-08-22T20:43:17.3251859Z 2024-08-22:20:43:17,324 WARNING  [GPTQ.py:706] warning: layers.3.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:43:17.3284803Z 2024-08-22:20:43:17,328 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w2, in=768, out=288
2024-08-22T20:43:17.3294801Z 2024-08-22:20:43:17,329 INFO     [GPTQ.py:693] linear: layers.3.feed_forward.w3, in=288, out=768
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2024-08-22T20:43:17.3387328Z 2024-08-22:20:43:17,338 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w1, in=288, out=768
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2024-08-22T20:43:17.3422115Z 2024-08-22:20:43:17,342 INFO     [GPTQ.py:693] linear: layers.4.feed_forward.w2, in=768, out=288
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2024-08-22T20:43:17.3470469Z 2024-08-22:20:43:17,346 INFO     [GPTQ.py:693] linear: layers.5.attention.wq, in=288, out=288
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2024-08-22T20:43:17.3485325Z 2024-08-22:20:43:17,348 INFO     [GPTQ.py:693] linear: layers.5.attention.wk, in=288, out=288
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2024-08-22T20:43:17.3498412Z 2024-08-22:20:43:17,349 INFO     [GPTQ.py:693] linear: layers.5.attention.wv, in=288, out=288
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2024-08-22T20:43:17.3511244Z 2024-08-22:20:43:17,350 INFO     [GPTQ.py:693] linear: layers.5.attention.wo, in=288, out=288
2024-08-22T20:43:17.3512801Z 2024-08-22:20:43:17,351 WARNING  [GPTQ.py:706] warning: layers.5.attention.wo is padded to satisfy in_features % 1024 == 0
2024-08-22T20:43:17.3524809Z 2024-08-22:20:43:17,352 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w1, in=288, out=768
2024-08-22T20:43:17.3526328Z 2024-08-22:20:43:17,352 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w1 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:43:17.3561034Z 2024-08-22:20:43:17,355 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w2, in=768, out=288
2024-08-22T20:43:17.3570774Z 2024-08-22:20:43:17,356 INFO     [GPTQ.py:693] linear: layers.5.feed_forward.w3, in=288, out=768
2024-08-22T20:43:17.3572350Z 2024-08-22:20:43:17,357 WARNING  [GPTQ.py:706] warning: layers.5.feed_forward.w3 is padded to satisfy in_features % 1024 == 0
2024-08-22T20:43:17.3608766Z 2024-08-22:20:43:17,360 INFO     [GPTQ.py:693] linear: output, in=288, out=32000
2024-08-22T20:43:17.3611111Z 2024-08-22:20:43:17,360 WARNING  [GPTQ.py:706] warning: output is padded to satisfy in_features % 1024 == 0
2024-08-22T20:43:33.9129214Z In file included from /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/utils.h:14,
2024-08-22T20:43:33.9132451Z                  from /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_runtime/arrayref_tensor.h:3,
2024-08-22T20:43:33.9135137Z                  from /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ca7assdbmchh5uiv3uzkkxkljilp2fveyl5lbv2nxv35ji6mpclx.cpp:1:
2024-08-22T20:43:33.9138061Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ca7assdbmchh5uiv3uzkkxkljilp2fveyl5lbv2nxv35ji6mpclx.cpp: In lambda function:
2024-08-22T20:43:33.9141845Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ca7assdbmchh5uiv3uzkkxkljilp2fveyl5lbv2nxv35ji6mpclx.cpp:515:89: warning: ‘~’ on an expression of type ‘bool’ [-Wbool-operation]
2024-08-22T20:43:33.9144707Z   515 |                 AOTI_TORCH_CHECK(((0 <= tmp14) & (tmp14 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp14 < 32000L");
2024-08-22T20:43:33.9145986Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:43:33.9148230Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:43:33.9150180Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:43:33.9150857Z       |         ^~~~
2024-08-22T20:43:33.9153034Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ca7assdbmchh5uiv3uzkkxkljilp2fveyl5lbv2nxv35ji6mpclx.cpp:515:89: note: did you mean to use logical not (‘!’)?
2024-08-22T20:43:33.9155643Z   515 |                 AOTI_TORCH_CHECK(((0 <= tmp14) & (tmp14 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp14 < 32000L");
2024-08-22T20:43:33.9158018Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:43:33.9160280Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:43:33.9162284Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:43:33.9162950Z       |         ^~~~
2024-08-22T20:43:33.9164629Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ca7assdbmchh5uiv3uzkkxkljilp2fveyl5lbv2nxv35ji6mpclx.cpp: In lambda function:
2024-08-22T20:43:33.9168332Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ca7assdbmchh5uiv3uzkkxkljilp2fveyl5lbv2nxv35ji6mpclx.cpp:560:89: warning: ‘~’ on an expression of type ‘bool’ [-Wbool-operation]
2024-08-22T20:43:33.9171332Z   560 |                 AOTI_TORCH_CHECK(((0 <= tmp42) & (tmp42 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp42 < 32000L");
2024-08-22T20:43:33.9172569Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:43:33.9175181Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:43:33.9177172Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:43:33.9177840Z       |         ^~~~
2024-08-22T20:43:33.9180036Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ca7assdbmchh5uiv3uzkkxkljilp2fveyl5lbv2nxv35ji6mpclx.cpp:560:89: note: did you mean to use logical not (‘!’)?
2024-08-22T20:43:33.9182626Z   560 |                 AOTI_TORCH_CHECK(((0 <= tmp42) & (tmp42 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp42 < 32000L");
2024-08-22T20:43:33.9183821Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:43:33.9186045Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:43:33.9187996Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:43:33.9188625Z       |         ^~~~
2024-08-22T20:43:33.9190296Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ca7assdbmchh5uiv3uzkkxkljilp2fveyl5lbv2nxv35ji6mpclx.cpp: In lambda function:
2024-08-22T20:43:33.9194035Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ca7assdbmchh5uiv3uzkkxkljilp2fveyl5lbv2nxv35ji6mpclx.cpp:605:89: warning: ‘~’ on an expression of type ‘bool’ [-Wbool-operation]
2024-08-22T20:43:33.9196809Z   605 |                 AOTI_TORCH_CHECK(((0 <= tmp70) & (tmp70 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp70 < 32000L");
2024-08-22T20:43:33.9198051Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:43:33.9200340Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:43:33.9202328Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:43:33.9202997Z       |         ^~~~
2024-08-22T20:43:33.9205191Z /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/ca7assdbmchh5uiv3uzkkxkljilp2fveyl5lbv2nxv35ji6mpclx.cpp:605:89: note: did you mean to use logical not (‘!’)?
2024-08-22T20:43:33.9207789Z   605 |                 AOTI_TORCH_CHECK(((0 <= tmp70) & (tmp70 < 32000L)) | ~((tmp5).all_masked()), "index out of bounds: 0 <= tmp70 < 32000L");
2024-08-22T20:43:33.9209033Z       |                                                                       ~~~~~~~~~~~~~~~~~~^~~
2024-08-22T20:43:33.9211487Z /opt/hostedtoolcache/Python/3.10.11/x64/lib/python3.10/site-packages/torch/include/torch/csrc/inductor/aoti_torch/c/shim.h:615:9: note: in definition of macro ‘AOTI_TORCH_CHECK’
2024-08-22T20:43:33.9213805Z   615 |   if (!(cond)) {                                   \
2024-08-22T20:43:33.9214496Z       |         ^~~~
2024-08-22T20:43:44.2430637Z Using device=cpu
2024-08-22T20:43:44.2431113Z Setting max_seq_length to 300 for DSO export.
2024-08-22T20:43:44.2433564Z Loading model...
2024-08-22T20:43:44.2434132Z Time to load model: 0.03 seconds
2024-08-22T20:43:44.2435208Z Quantizing the model with: {'linear:int4': {'groupsize': 32}}
2024-08-22T20:43:44.2435766Z Time to quantize model: 0.20 seconds
2024-08-22T20:43:44.2436275Z -----------------------------------------------------------
2024-08-22T20:43:44.2437183Z Exporting model using AOT Inductor to /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:43:44.2438527Z The generated DSO model can be found at: /home/runner/work/torchchat/torchchat/checkpoints/tinyllamas/stories15M/model.so
2024-08-22T20:43:54.4170576Z 2024-08-22:20:43:54,416 INFO     [generate.py:846] 
2024-08-22T20:43:54.4172567Z Time for inference 1: 5.26 sec total, time to first token 0.16 sec with sequential prefill, 199 tokens, 37.81 tokens/sec, 26.45 ms/token
2024-08-22T20:43:54.4174204Z 2024-08-22:20:43:54,416 INFO     [generate.py:849] Bandwidth achieved: 1.85 GB/s
2024-08-22T20:43:54.4175963Z 2024-08-22:20:43:54,416 INFO     [generate.py:853] *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-08-22T20:43:54.9872173Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:43:54.9873464Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-08-22T20:43:54.9874637Z Using device=cpu AMD EPYC 7763 64-Core Processor
2024-08-22T20:43:54.9875017Z Loading model...
2024-08-22T20:43:54.9875278Z Time to load model: 0.03 seconds
2024-08-22T20:43:54.9875657Z -----------------------------------------------------------
2024-08-22T20:43:54.9876466Z Hello, my name is Toby. He has a very special toy. It is a big, red ball. He loves to play with it every day.
2024-08-22T20:43:54.9877875Z One day, Toby's mommy said, "Toby, it's time to go outside and play." Toby was very excited. He ran outside and started to play with his ball. He was having so much fun!
2024-08-22T20:43:54.9879932Z Suddenly, Toby heard a loud noise. He looked up and saw a big, scary dog. Toby was scared and started to cry.
2024-08-22T20:43:54.9881494Z His mommy came over and said, "Don't worry, Toby. I'll protect you." She picked up Toby and held him close.
2024-08-22T20:43:54.9883203Z Toby was so relieved and he smiled. He was so happy that his mommy was there to protect him. He hugged her tight and said, "Thank you, Mommy!"
2024-08-22T20:43:54.9883957Z Toby and his mommy went
2024-08-22T20:43:54.9884222Z ========================================
2024-08-22T20:43:54.9884451Z 
2024-08-22T20:43:54.9884550Z Average tokens/sec: 37.81
2024-08-22T20:43:54.9884820Z Memory used: 0.00 GB
2024-08-22T20:43:55.0018392Z .ci/scripts/check_gibberish: line 31: aspell: command not found
2024-08-22T20:43:55.0025833Z cat: write error: Broken pipe
2024-08-22T20:43:55.0033713Z No spelling errors found; likely correct operation. Success.
2024-08-22T20:43:55.0093471Z Post job cleanup.
2024-08-22T20:43:55.1244725Z Post job cleanup.
2024-08-22T20:43:55.1955666Z [command]/usr/bin/git version
2024-08-22T20:43:55.1989279Z git version 2.46.0
2024-08-22T20:43:55.2031910Z Temporarily overriding HOME='/home/runner/work/_temp/6dcf9940-1ef7-4fee-8d5e-5235cd6e2eac' before making global git config changes
2024-08-22T20:43:55.2033681Z Adding repository directory to the temporary git global config as a safe directory
2024-08-22T20:43:55.2036311Z [command]/usr/bin/git config --global --add safe.directory /home/runner/work/torchchat/torchchat
2024-08-22T20:43:55.2068810Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-08-22T20:43:55.2100372Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2024-08-22T20:43:55.2347739Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-08-22T20:43:55.2367830Z http.https://github.com/.extraheader
2024-08-22T20:43:55.2378485Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2024-08-22T20:43:55.2407251Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2024-08-22T20:43:55.2858429Z Cleaning up orphan processes