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mlcommons / chakra

Repository for MLCommons Chakra schema and tools
https://mlcommons.org/working-groups/research/chakra/
Apache License 2.0
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Remove unused pytorch_et_plus_data from TraceLinker class #101

Closed TaekyungHeo closed 2 weeks ago

TaekyungHeo commented 3 weeks ago

Summary

Remove unused pytorch_et_plus_data from TraceLinker class

Test Plan

**1. CI pipelines pass.

  1. Simulated traces** 
    
$ pip install .
Processing /Users/theo/chakra
Installing build dependencies ... done
Getting requirements to build wheel ... done
Installing backend dependencies ... done
Preparing metadata (pyproject.toml) ... done
Requirement already satisfied: protobuf==4.* in /Users/theo/venv/lib/python3.10/site-packages (from chakra==0.0.4) (4.23.4)
Requirement already satisfied: graphviz in /Users/theo/venv/lib/python3.10/site-packages (from chakra==0.0.4) (0.20.1)
Requirement already satisfied: networkx in /Users/theo/venv/lib/python3.10/site-packages (from chakra==0.0.4) (3.2.1)
Requirement already satisfied: pydot in /Users/theo/venv/lib/python3.10/site-packages (from chakra==0.0.4) (2.0.0)
Requirement already satisfied: pyparsing>=3 in /Users/theo/venv/lib/python3.10/site-packages (from pydot->chakra==0.0.4) (3.1.1)
Building wheels for collected packages: chakra
Building wheel for chakra (pyproject.toml) ... done
Created wheel for chakra: filename=chakra-0.0.4-py3-none-any.whl size=51900 sha256=1d7e7dfc91e2c5d600a07ac9a32f20e3a74a74a5adf2206ec6645e1c249e3a59
Stored in directory: /private/var/folders/z0/c9mq5j4s6n14n0_gs7nlt6mc0000gp/T/pip-ephem-wheel-cache-zx022b6n/wheels/fa/dc/75/2163b4163bf1e9cf3c7f1cf69fa03716fb707b8c4f5cb271e8
Successfully built chakra
Installing collected packages: chakra
Attempting uninstall: chakra
Found existing installation: chakra 0.0.4
Uninstalling chakra-0.0.4:
  Successfully uninstalled chakra-0.0.4
Successfully installed chakra-0.0.4

$ python3 ci_tools/integration_tests.py --tgz_path tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05.tgz --num_ranks 8 --tolerance 0.05 --expected_times_ms 14597 14597 14968 14638 14649 14700 14677 14735 Extracting tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05.tgz to tests/data/1.0.2-chakra.0.0.4 Running command: chakra_trace_link --pytorch-et-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_host_et_0.json --kineto-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/kineto_0.json --output-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_0.json Running command: chakra_trace_link --pytorch-et-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_host_et_1.json --kineto-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/kineto_1.json --output-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_1.json Running command: chakra_trace_link --pytorch-et-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_host_et_2.json --kineto-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/kineto_2.json --output-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_2.json Running command: chakra_trace_link --pytorch-et-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_host_et_3.json --kineto-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/kineto_3.json --output-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_3.json Running command: chakra_trace_link --pytorch-et-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_host_et_4.json --kineto-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/kineto_4.json --output-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_4.json Running command: chakra_trace_link --pytorch-et-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_host_et_5.json --kineto-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/kineto_5.json --output-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_5.json Running command: chakra_trace_link --pytorch-et-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_host_et_6.json --kineto-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/kineto_6.json --output-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_6.json Running command: chakra_trace_link --pytorch-et-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_host_et_7.json --kineto-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/kineto_7.json --output-file tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_7.json Running command: chakra_converter --input_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_0.json --output_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_final_0.chakra --input_type PyTorch --log_filename /tmp/rank_0.log Running command: chakra_converter --input_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_1.json --output_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_final_1.chakra --input_type PyTorch --log_filename /tmp/rank_1.log Running command: chakra_converter --input_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_2.json --output_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_final_2.chakra --input_type PyTorch --log_filename /tmp/rank_2.log Running command: chakra_converter --input_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_3.json --output_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_final_3.chakra --input_type PyTorch --log_filename /tmp/rank_3.log Running command: chakra_converter --input_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_4.json --output_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_final_4.chakra --input_type PyTorch --log_filename /tmp/rank_4.log Running command: chakra_converter --input_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_5.json --output_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_final_5.chakra --input_type PyTorch --log_filename /tmp/rank_5.log Running command: chakra_converter --input_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_6.json --output_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_final_6.chakra --input_type PyTorch --log_filename /tmp/rank_6.log Running command: chakra_converter --input_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_et_plus_7.json --output_filename tests/data/1.0.2-chakra.0.0.4/llama_pytorch24.05/chakra_final_7.chakra --input_type PyTorch --log_filename /tmp/rank_7.log Validation successful for /tmp/rank_0.log: 14802300us is within the acceptable range. Validation successful for /tmp/rank_1.log: 14785782us is within the acceptable range. Validation successful for /tmp/rank_2.log: 15233261us is within the acceptable range. Validation successful for /tmp/rank_3.log: 14878058us is within the acceptable range. Validation successful for /tmp/rank_4.log: 14892945us is within the acceptable range. Validation successful for /tmp/rank_5.log: 14993779us is within the acceptable range. Validation successful for /tmp/rank_6.log: 14936348us is within the acceptable range. Validation successful for /tmp/rank_7.log: 15031147us is within the acceptable range.

github-actions[bot] commented 3 weeks ago

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