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* GroupBN: Reduced buffering for better hiding calculations in some loops of length OUTER_LOOPS

* GroupBN: Use C_ELEMENTS_PER_CTA=64 for BN and BN_relu kernels for improvement of resnet50

* GroupBN: Use C_ELEMENTS_PER_CTA=64 for BN_add_relu kernels for ~10% E2E improvement of resnet50

* Updating BLOCK_SIZE to 1024.
tests/L0/run_optimizers/test_fused_optimizer.py test passes except for bfloat16 for Adam. There seems to be a bug in this test that needs to be resolved.
For now skipping test_bfloat16 for Adam in the unittest.
Ran 17 other tests and ALL other tests pass!
More details on the effects of these changes can be found here -  https://confluence.amd.com/display/MLSE/Apex+Kernel+Optimization

.
This commit changes BLOCK_SIZE=1024 ONLY FOR different optimizers.
L2norm kernels (part of LAMB optimizer algorithm) still maintain BLOCK_SIZE=512 otherwise Allclose fails.

* Updating tests/L0/run_optimizers/test_fused_optimizer.py with @skipifRocm to skip test_bfloat16 in Adam.
Co-authored-by: aspanday <aspanday@amd.com>

* Update register keyword handling for C++17

The keyword 'register' for storage class is removed in C++17,
so keeping it active for only c++14 and lower.

* Updates to the code

Fix a bug in fused_dense_cuda on ROCm

* Unskip some unit tests related to issue #82

* Ensure test_state_dict to use capturable=True for torch.optim.Adam

* Fix TestFusedAdam tests in test_fused_optimizer.py

* Consider both contiguous and channel_last tensors for FusedSGD

* Consider all the memory formats in fused_sgd

* Add an unit test script for nhwc fused_sgd

* Make index_mul_2d extension backward compatible for Atomic header include

* Typo
Co-authored-by: Jithun Nair <37884920+jithunnair-amd@users.noreply.github.com>

* Remove redundant import's and enable ninja for MHA extension

* Remove redundant CUDAExtension import's

Enable --focal_loss and --index_mul_2d extensions for ROCm

* Enable --transducer extension for ROCm

* Enable --transducer unit tests for ROCm

* Skip some failing tests in test_transducer_joint.py

* Skip test_transducer_joint_pack for transducer extension

* Keep transducer extension CUDA-compatible

Enable --peer_memory and --nccl p2p extensions for ROCm

* Handle len(cached_x.grad_fn.next_functions) == 1 in cached_cast

* Unskip the unit tests related to len(cached_x.grad_fn.next_functions) == 1
Co-authored-by: David Fan <jiafa@microsoft.com>

Co-authored-by: Han Bao <hbao@nvidia.com>

IFU-master-2022-07-29

* Skip the failing unit tests from the FusedRMSNorm PR

* Update test_lamb.py
Co-authored-by: Jithun Nair <37884920+jithunnair-amd@users.noreply.github.com>

* FusedRMSNorm/"T5LayerNorm" based on FusedLayerNorm (#1274)

* FusedRMSNorm based on FusedLayerNorm

* refactor duplicated kernels

* delete comments

* delete comments

* cleanup

* cleanup

* cleanup, fixed clobbering forward_affine_mixed_dtypes

* fix pybind naming and add MixedFused test

* undo skipping

* check elementwise_affine

* Update tests/L0/run_fused_layer_norm/test_fused_layer_norm.py

Oof, nice catch, thanks
Co-authored-by: Masaki Kozuki <masaki.kozuki.2014@gmail.com>
Co-authored-by: Masaki Kozuki <masaki.kozuki.2014@gmail.com>

* fix and generate docs for FusedRMSNorm (#1285)

* [FusedRMSNorm doc] document where epsilon is added (#1295)

* [FusedRMSNorm doc] add epsilon to formula

* correct

* better wording

* Fix some bugs

* Optimize HostRMSNormGradient and HostApplyRMSNorm for AMD GPUs

* Fix NaN issues in FusedRMSNorm

* Update test_fused_layer_norm.py

* Skip test_fused_layer_norm.TestAutocastFusedRMSNorm on ROCm

* Use at::cuda::warp_size() instead of at::cuda::getCurrentDeviceProperties()->warpSize
Co-authored-by: eqy <eddiey@nvidia.com>
Co-authored-by: Masaki Kozuki <masaki.kozuki.2014@gmail.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>