GitLab

**Description**
Update links of referencing other docs using relative file paths with extensions.

**Description**
Fixes relative link in documentation: point to `../cli.md`.

**Description**
Integrate FAMBench into superbench based on docker implementation:
https://github.com/facebookresearch/FAMBench

The script to run all benchmarks is:
https://github.com/facebookresearch/FAMBench/blob/main/benchmarks/run_all.sh

**Description**
Integrate output all nodes diagnosis results.

**Description**
Output results of all nodes in data diagnosis.

**Description**
Add usage for result summary.

**Description**
Integrage result summary and update output format of data diagnosis.

**Major Revision**
- integrage result summary 
- add md and html format for data diagnosis

**Description**
Use config `log_raw_data` to control whether log the raw data into file or not. The default value is `no`. We can set it as `yes` for some particular benchmarks to save the raw data into file, such as NCCL/RCCL test.

Bumps [minimist](https://github.com/substack/minimist) from 1.2.5 to 1.2.6.
- [Release notes](https://github.com/substack/minimist/releases)
- [Commits](https://github.com/substack/minimist/compare/1.2.5...1.2.6

)

---
updated-dependencies:
- dependency-name: minimist
  dependency-type: indirect
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**Description**
Add result summary in excel,md,html format.

**Major Revision**
- Add ResultSummary class to support result summary in excel,md,html format.
- Abstract RuleBase class for common-used functions in DataDiagnosis and ResultSummary.

**Description**
Remove fp16 samples type converting time for training cnn and lstm inference.

Add inference config for preview SKUs, including:
* [NC96ads_A100_v4](https://docs.microsoft.com/en-us/azure/virtual-machines/nc-a100-v4-series)
* [NV18ads_A10_v5](https://docs.microsoft.com/en-us/azure/virtual-machines/nva10v5-series)

**Description**
Remove fp16  samples type converting time for cnn and lstm models.

**Description**
Modifications adding GPU-Burn to SuperBench.
- added third party submodule
- modified Makefile to make gpu-burn binary
- added/modified microbenchmarks to add gpu-burn python scripts
- modified default and azure_ndv4 configs to add gpu-burn

**Description**
fix the bug in result writing to files for mpi mode.

**Description**
Add md and html output format for DataDiagnosis.

**Major Revision**
- add md and html support in file_handler
- add interface in DataDiagnosis for md and HTML output

**Minor Revision**
- move excel and json output interface into DataDiagnosis

Fix env file path to absolute path in `docker exec`, in case there're mixed ssh and local connections or different users are used.

**Description**
Abstract RuleBase from DataDiagnosis.

Bumps [url-parse](https://github.com/unshiftio/url-parse) from 1.5.8 to 1.5.10.
- [Release notes](https://github.com/unshiftio/url-parse/releases)
- [Commits](https://github.com/unshiftio/url-parse/compare/1.5.8...1.5.10

)

---
updated-dependencies:
- dependency-name: url-parse
  dependency-type: indirect
...
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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

**Description**
The BatchNorm operator is not numerically stable in fp16.  PyTorch documentation recommends to keep the BN op in fp32 for fp16 AMP models.  Refer to https://pytorch.org/docs/stable/amp.html#ops-that-can-autocast-to-float32.  Preserving BN in fp32 for superbench more accurately reflects real workloads.

**Description**
Add dockerfile for rocm5.0.1.

Bumps [prismjs](https://github.com/PrismJS/prism) from 1.23.0 to 1.27.0.
- [Release notes](https://github.com/PrismJS/prism/releases)
- [Changelog](https://github.com/PrismJS/prism/blob/master/CHANGELOG.md)
- [Commits](https://github.com/PrismJS/prism/compare/v1.23.0...v1.27.0

)

---
updated-dependencies:
- dependency-name: prismjs
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

**Description**
Add rocm5.0 dockerfile.

**Description**
Fix invalid reference of P2P detection result in gpu_copy.

**Description**
Make gpcnet only for cuda.

**Description**
Fix HIP_ARCHITECTURES is empty issue with cmake>=3.21.0.
Refer to https://github.com/ROCm-Developer-Tools/HIP/pull/2364

Bumps [url-parse](https://github.com/unshiftio/url-parse) from 1.5.1 to 1.5.8.
- [Release notes](https://github.com/unshiftio/url-parse/releases)
- [Commits](https://github.com/unshiftio/url-parse/compare/1.5.1...1.5.8

)

---
updated-dependencies:
- dependency-name: url-parse
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Add T4 configurations for inference.

**Description**
Add multi-rules feature for data diagnosis to support multiple rules' combined check.

**Major Revision**
- revise rule design to support multiple rules combination check
- update related codes and tests

Fix env file path for `docker run`.

Bumps [follow-redirects](https://github.com/follow-redirects/follow-redirects) from 1.14.7 to 1.14.8.
- [Release notes](https://github.com/follow-redirects/follow-redirects/releases)
- [Commits](https://github.com/follow-redirects/follow-redirects/compare/v1.14.7...v1.14.8

)

---
updated-dependencies:
- dependency-name: follow-redirects
  dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

**Description**
Add support for pytorch>=1.9.0 of init_process_group.

**Major Revision**
- Use PrefixStore(TCPStore) to init_process_group manully for each model run

**Description**
Update rccl-tests submodule to fix divide by zero error.

**Description**
This commit remove NUMA binding for device-to-device tests because NUMA doesn't affect performance, and revise benchmark metrics accordingly.

This commit adds GDR-only nccl-tests for Nvidia machines. Also bump NCCL to v2.10.3-1 to achieve peak performance in this test.

This commit makes data checking in gpu_copy optional, because it will take too long time if message size is large.

**Description**
This commit does the following to optimize result variance in gpu_copy benchmark:
1) Add warmup phase for gpu_copy benchmark to avoid timing instability caused by first-time CUDA kernel launch overhead;
2) Use CUDA events for timing instead of CPU timestamps;
3) Make data checking an option that is not preferred to be enabled in performance test;
4) Enlarge message size in performance benchmark.

Fix typo in document.

Support T4 and A10 in GEMM benchmark.

Support customized env for all modes in configuration.