### Description
<!-- Describe your changes. -->
Unit test with ROCm5.3 slower than ROCm5.2.3. Revert to ROCm5.2.3.
We will update to ROCm5.3 when the issue resloved by AMD.
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
* [UPDATE] update ci to rocm5.2 + torch1.11
* [Revert] disable ort module test
* [DELETE] delete Rocm5.1.1 ci test result
* [UPDATE] update the comments
* [UPDATE] update amd ci pipeline 2 rocm5.1.1
* [FIX] json format error
* [ERROR] disable unit tests
* [FIX] ucx error
* [FIX] cmake version
* [FIX] units test
* try to run inside 4.3.1 container
* no \ in container run command
* remove networking options
* try with adding video render groups
* add job to build docker image
* try without 1st stage
* change alpha, beta to float
* try adding service connection
* retain huggingface directory
* static video and render gid
* use runtime expression for variables
* install torch-ort
* pin sacrebleu==1.5.1
* update curves for rocm 4.3.1
* try again
* disable determinism and only check tail of loss curve and with a much larger threshold of 0.05
* disable RoBERTa due to high run variablity on ROCm 4.3.1
* put reduction unit tests back in
* test running hf bert-large
* try again
* try again
* include other models
* correct names
* disable deberta-v2-xxlarge
* avoid torch.distributed
* add compare json loss and perf for bert-large to test
* fix sed expression
* remove pytest
* add more models
* move unit tests u
* display samples/sec
* Partial updating of ROCM reduction code.
* Update reduction_all.cu
* Add reduce template parameters.
* miopen common
* Reuse CUDA's reduction_functions.cc
* Reduction ops.
* Update remaining reduction ops to use MIOpen. double datatype is not supported, so disable those typed kernels.
* Disable a couple more unsupported tests.
* Code formatting.
* Delete ROCM-specific reduction code that is identical to CUDA reduction code.
* Fix scratch buffer early free.
* Fix merge conflict.
* first attempt nightly amd ci pipeline
* try fix bad yaml file
* try again with corrected model directory
* add convergence test as well
* update reference loss for amd mi100
* include mi100 test results csv
* update the mi100 convergence test reference values
* update batch sizes for mi100 32g
* fix gpu sku for run_convergence_test.py
* undo unrelated changes to master
* pr comments
* pr comment
Co-authored-by: Jesse Benson <jesseb@microsoft.com>
