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Repository for MLCommons Chakra schema and tools

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it too tough to get start may i ask is there any tutorial or example for this project? for example, how can i get the pytorch et from cluster, and...

documentation
help wanted

> Please provide a detailed description of your question or the information you seek. Hi, Could you please share more ET traces, such as the LLaMA traces you mentioned in...

help wanted
question

## Describe the Bug When I run the pytorch converter, it shows nccl:send comm_type not supported, is there any plan to support this or this comm_type is not expected in...

bug
good first issue
help wanted

## Problem Related to the Feature As defined in the [et_def.proto](https://github.com/mlcommons/chakra/blob/main/schema/protobuf/et_def.proto), the attribute that stores duration (duration_micros) uses microsecond precision. There are some cases where we encounter lots of sub-microsecond-runtime...

enhancement
help wanted

There is too much information from pytorch ET plus, including function call relationships with too many details, but in fact we only focus on computing, memory access and communication. Does...

enhancement
help wanted
question

## Summary Add Integration Testing for chakra_trace_link and chakra_converter ## Test Plan GitHub actions work. ``` $ 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...

## Summary Add nightly tests ## Test Plan ``` ```

## Summary * This PR relies on https://github.com/mlcommons/chakra/pull/119. It can be merged after https://github.com/mlcommons/chakra/pull/119 is merged. This PR introduces dependencies from GPU operators to CPU operators using the critical path...

enhancement

## Summary Previously, the data_deps field was utilized to encode operator dependencies in simulations. However, data_deps should actually be reserved for encoding data dependencies, not for simulating operator dependencies. Therefore,...

## Summary This PR adds the Any type to the AttributeProto message as a single any_val and repeated any_list. The Any type in Any.proto is a standard Protobuf definition included...