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Benchmarks: Code Revision - Revise metric name generation and default config for disk performance benchmark (#175)

**Description**
This commit revises disk performance benchmark, including:
1) Add missing benchmark name in default config;
2) Avoid using reserved character ':' in metric name.

**Description**
This commit adds gpu_sm_copy benchmark and related tests.

**Description**
Add gemm flops microbenchmark for amd.

**Major Revision**
- Add gemm flops microbenchmark for amd.
- Add related example and test file.

**Description**
Extract base class for gemm flops microbenchmark.

**Major Revision**
- extract base class for gemm flops microbenchmark and add related test.
- revise gemm_flops_performance for cuda.

**Description**
Rename `kernel_launch_overhead_event` to `event_overhead`, `kernel_launch_overhead_wall` to `wall_overhead`.

**Description**
Add memory bus bandwidth performance microbenchmark for amd.

**Major Revision**
- Add memory bus bandwidth performance microbenchmark for amd.
- Add related example and test file.

**Description**
extract base class for memory bandwidth microbenchmark.

**Major Revision**
- revise and optimize cuda_memory_bandwidth_performance
- extract base class for memory bandwidth microbenchmark
- add test for base class

**Description**
 fix typo in test_nccl_bw_performance.py.

**Major Revision**
-  fix typo in test_nccl_bw_performance.py.

**Description**
This commit adds readwrite I/O pattern for FIO benchmark. Read/write ratio is fixed at 4:1.

**Description**
Change the field name `reduce` to `reduce_op`.

**Description**
Set reduce type for current benchmarks' metrics, including model benchmarks and ShardingMatmul.

**Description**
Replace `sum(results) / len(results)` with `statistics.mean(results)`

**Description**
Add reduce function support for output summary.

**Major Revision**
- Add reducer class to maintain all reduce functions.
- Save reduce type of each metric into `BenchmarkResult`
- Fix UT.

**Description**
Add NCCL performance microbenchmark.

**Major Revision**
- Add microbenchmark, example, test, config for NCCL

**Description**
Add RDMA Loopback performance microbenchmark.

**Major Revision**
- Add microbenchmark, example, test, config for RDMA Loopback

**Description**
Add disk performance microbenchmark.

**Major Revision**
- Add microbenchmark, example, test, config for disk performance.

**Minor Revision**
- Fix bugs in executor unit test related to default enabled tests.

Add microbenchmark, example, test, config for cuda memory performance and Add cuda-samples(tag with cuda version) as git submodule and update related makefile

Update network common utils. Add get_ib_devices in network common utils and move get_free_port from test utils to network common utils

* fix bug for nvidia v100
* hard code the supported dict for different arch.

* replace torch.optim.AdamW with transformers.AdamW.

* Clean up the cache.

* fix return code reset issue

* Change default shape of sharding-matmul.

* add cuda flops performance benchmark.

* add python related cudnn microbenchmark

* add benchmark for cublas test

* format

* revise error handling and test

* add interface to read json file, revise json file path and include .json in packaging

* add random_seed in arguments

* revise preprocess of cublas benchmark

* fix lint error and note error in source code

* update according comments

* revise input arguments from json file to custom str and convert json file to built-in dict list

* restore package config

* fit lint issue

* update platform and comments

* rename files to match source code dir and fix comments error
Co-authored-by: root <root@sb-validation-000001.51z1chmys5fuzfqyo4niepozre.bx.internal.cloudapp.net>

* add kernel launch overhead benchmark.

* Revise MicroBenchmark class to be more flexible.
* use command index not the command as the parameter.
* changes according to discussion.

* Benchmarks: Add Benchmark - Add LSTM model benchmarks.

* Benchmarks: Add Benchmark - Add CNN model benchmarks.

Benchmarks: Code Revision - Fix some issue for BERT benchmark. (#58)

* Benchmarks: Add Benchmark - Add GPT2 model benchmark.

* Benchmarks: Add Feature - Add interface to get all predefine parameters of all benchmarks.

* Benchmarks: Add Benchmark - add computation and communication overlap micro benchmark

* Benchmarks: Add benchmark - fix some format issues and typo

* Benchmarks: Add Benchmark - update according comments and add test

* revise tests

* skip multi gpu test due to no multi gpu
Co-authored-by: v-yujiang <v-yujiang@microsoft.com>

* Superbenchmark: Revise tests - revise benchmark test util to support multi gpu test

* modify test_sharding_matmul.py to match the tests util

* add tests for matmul and sharding-matmul benchmarks.

* add decorator for sharding_matmul tests.

* add __init__.py for utils of benchmarks tests.

* disable GPU tests for CPU platform validation.

* fix typo
Co-authored-by: Guoshuai Zhao <guzhao@microsoft.com>
Co-authored-by: Peng Cheng <chengpeng5555@outlook.com>
Co-authored-by: Yifan Xiong <yifan.xiong@microsoft.com>

Co-authored-by: Guoshuai Zhao <guzhao@microsoft.com>
Co-authored-by: Yifan Xiong <yifan.xiong@microsoft.com>

* skip unnecessary tests according to env var
* remove useless tests

Benchmarks: Code Revision - Revise BenchmarkRegistry interfaces for integration with executor. (#33)

* revise BenchmarkRegistry interfaces.
* address comments
Co-authored-by: Guoshuai Zhao <guzhao@microsoft.com>