Suffian Khan e6de0eb813 Add nightly pipeline for MI100 to run convergence and batch size test similar to V100. (#6611) ... * 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>		2021-02-12 13:22:06 -08:00
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amdgpu	Dockerfile to build onnxruntime with ROCm 4.0	2020-12-22 10:21:12 -08:00
ci_test	Add nightly pipeline for MI100 to run convergence and batch size test similar to V100. (#6611)	2021-02-12 13:22:06 -08:00
mnist_model_builder	Introduce training changes.	2020-03-11 14:39:03 -07:00
scripts	opset12 code cleanup (#4242)	2020-06-15 19:45:35 -07:00