* Reduce squeeze2_matmul_fuse_pass, flattent tests time (#47098)

* Add missing fp32 config and reduce the testing combination

* Reduce trt matmul pass test max examples

* Loose TRT fp16 tests tolerance (#47100)

* Loose TRT half test tolerance to 1e-3 (#47101)

* Loose TRT half test tolerance to 1e-3 (#47106)

* Update distributed_strategy.proto (#46531)

* Close popen pipe after used (#47053)

* Add launch_bounds (#47285)

* Fix TRT UT failures (#47488)

* Format cherry-picked commits

* CudnnNormConvolution is no longer supported on NVIDIA Hopper GPUs (#48203)

* Skip tests that use fused_ops on H100

* Add error message to FusedOps on H100
Co-authored-by: NShijie <505749828@qq.com>
Co-authored-by: NLeo Chen <39020268+leo0519@users.noreply.github.com>
Co-authored-by: NTian Zheng <tizheng@nvidia.com>

Co-authored-by: NRichardWooSJTU <37864677+RichardWooSJTU@users.noreply.github.com>

* remove cudaDeviceContext

* remove more template

* fix rocm compile

* remove alias name CUDADeviceContext

* fix compile

* fix tests

* revert changes

* clean distribution_helper, index_impl, aligned_vector code in fluid

* fix conflicts

Fused elementwise_add, dropout, elementwise_add and layer_norm into one operator, only support Forward. 
No Python API changed.