Fix bugs in et_converter

[TaekyungHeo]

Summary

Fix bugs in et_converter

• Fix formatting due to ruff in et_converter/pytorch2chakra_converter.py
• Remove UniqueIdAssigner from et_converter/pytorch2chakra_converter.py
• Update pytorch2chakra_converter to support various versions
• Ignore et_converter/ for pyre checks
• Use GPU operator's name for identifying communication type
• Fix communication size calculation logic
• Remove inter-stream dependencies

Test Plan

1. Run trace_link

chakra_trace_link --pytorch-et-file /Users/theo/Downloads/llama_pytorch24.05/megatron_et_0.json --kineto-file /Users/theo/Downloads/llama_pytorch24.05/megatron_kineto_0.json --output-file ~/megatron_0.json &
chakra_trace_link --pytorch-et-file /Users/theo/Downloads/llama_pytorch24.05/megatron_et_1.json --kineto-file /Users/theo/Downloads/llama_pytorch24.05/megatron_kineto_1.json --output-file ~/megatron_1.json &
chakra_trace_link --pytorch-et-file /Users/theo/Downloads/llama_pytorch24.05/megatron_et_2.json --kineto-file /Users/theo/Downloads/llama_pytorch24.05/megatron_kineto_2.json --output-file ~/megatron_2.json &
chakra_trace_link --pytorch-et-file /Users/theo/Downloads/llama_pytorch24.05/megatron_et_3.json --kineto-file /Users/theo/Downloads/llama_pytorch24.05/megatron_kineto_3.json --output-file ~/megatron_3.json &
chakra_trace_link --pytorch-et-file /Users/theo/Downloads/llama_pytorch24.05/megatron_et_4.json --kineto-file /Users/theo/Downloads/llama_pytorch24.05/megatron_kineto_4.json --output-file ~/megatron_4.json &
chakra_trace_link --pytorch-et-file /Users/theo/Downloads/llama_pytorch24.05/megatron_et_5.json --kineto-file /Users/theo/Downloads/llama_pytorch24.05/megatron_kineto_5.json --output-file ~/megatron_5.json &
chakra_trace_link --pytorch-et-file /Users/theo/Downloads/llama_pytorch24.05/megatron_et_6.json --kineto-file /Users/theo/Downloads/llama_pytorch24.05/megatron_kineto_6.json --output-file ~/megatron_6.json &
chakra_trace_link --pytorch-et-file /Users/theo/Downloads/llama_pytorch24.05/megatron_et_7.json --kineto-file /Users/theo/Downloads/llama_pytorch24.05/megatron_kineto_7.json --output-file ~/megatron_7.json &

2. Run et_converter

chakra_converter --input_filename ~/megatron_0.json --output_filename megatron_0.chakra --input_type PyTorch > /tmp/rank_0 &
chakra_converter --input_filename ~/megatron_1.json --output_filename megatron_1.chakra --input_type PyTorch > /tmp/rank_1 &
chakra_converter --input_filename ~/megatron_2.json --output_filename megatron_2.chakra --input_type PyTorch > /tmp/rank_2 &
chakra_converter --input_filename ~/megatron_3.json --output_filename megatron_3.chakra --input_type PyTorch > /tmp/rank_3 &
chakra_converter --input_filename ~/megatron_4.json --output_filename megatron_4.chakra --input_type PyTorch > /tmp/rank_4 &
chakra_converter --input_filename ~/megatron_5.json --output_filename megatron_5.chakra --input_type PyTorch > /tmp/rank_5 &
chakra_converter --input_filename ~/megatron_6.json --output_filename megatron_6.chakra --input_type PyTorch > /tmp/rank_6 &
chakra_converter --input_filename ~/megatron_7.json --output_filename megatron_7.chakra --input_type PyTorch > /tmp/rank_7 &

3. Results

[github-actions]

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