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# What does this PR do? Fixes a bunch of violations. Note: this patch touches all files but post_training.py that will be significantly changed by #1437, hence leaving it out of the picture for now. [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan Testing with https://github.com/meta-llama/llama-stack/pull/1543 Also checked that GPU training works with the change: ``` INFO: ::1:53316 - "POST /v1/post-training/supervised-fine-tune HTTP/1.1" 200 OK INFO: ::1:53316 - "GET /v1/post-training/job/status?job_uuid=test-jobb5ca2d84-d541-42f8-883b-762828b4c0e7 HTTP/1.1" 200 OK INFO: ::1:53316 - "GET /v1/post-training/job/artifacts?job_uuid=test-jobb5ca2d84-d541-42f8-883b-762828b4c0e7 HTTP/1.1" 200 OK 21:24:01.161 [END] /v1/post-training/supervised-fine-tune [StatusCode.OK] (32526.75ms) 21:23:28.769 [DEBUG] Setting manual seed to local seed 3918872849. Local seed is seed + rank = 3918872849 + 0 21:23:28.996 [INFO] Identified model_type = Llama3_2. Ignoring output.weight in checkpoint in favor of the tok_embedding.weight tied weights. 21:23:29.933 [INFO] Memory stats after model init: GPU peak memory allocation: 6.05 GiB GPU peak memory reserved: 6.10 GiB GPU peak memory active: 6.05 GiB 21:23:29.934 [INFO] Model is initialized with precision torch.bfloat16. 21:23:30.115 [INFO] Tokenizer is initialized. 21:23:30.118 [INFO] Optimizer is initialized. 21:23:30.119 [INFO] Loss is initialized. 21:23:30.896 [INFO] Dataset and Sampler are initialized. 21:23:30.898 [INFO] Learning rate scheduler is initialized. 21:23:31.618 [INFO] Memory stats after model init: GPU peak memory allocation: 6.24 GiB GPU peak memory reserved: 6.30 GiB GPU peak memory active: 6.24 GiB 21:23:31.620 [INFO] Starting checkpoint save... 21:23:59.428 [INFO] Model checkpoint of size 6.43 GB saved to /home/ec2-user/.llama/checkpoints/meta-llama/Llama-3.2-3B-Instruct-sft-0/consolidated.00.pth 21:23:59.445 [INFO] Adapter checkpoint of size 0.00 GB saved to /home/ec2-user/.llama/checkpoints/meta-llama/Llama-3.2-3B-Instruct-sft-0/adapter/adapter.pth ``` [//]: # (## Documentation) Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com> |
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| .. | ||
| agents | ||
| batch_inference | ||
| benchmarks | ||
| common | ||
| datasetio | ||
| datasets | ||
| eval | ||
| files | ||
| inference | ||
| inspect | ||
| models | ||
| post_training | ||
| providers | ||
| safety | ||
| scoring | ||
| scoring_functions | ||
| shields | ||
| synthetic_data_generation | ||
| telemetry | ||
| tools | ||
| vector_dbs | ||
| vector_io | ||
| __init__.py | ||
| datatypes.py | ||
| resource.py | ||
| version.py | ||