pytorch

160118d7 - Add test case for matrix multiply-add with large inputs (#85550)

Add test case for matrix multiply-add with large inputs (#85550) Summary: - Added test case for addmm, baddbmm and linear with large inputs - Testing with torch types: float32, float16, bfloat16 Test Plan: Run unit tests with: `buck2 run mode/opt //caffe2/test:linalg_re_cuda` ``` ... test_addmm_baddbmm_large_input_1_10000_10000_10000_cpu_bfloat16 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_1_10000_10000_10000_cpu_float16 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_1_10000_10000_10000_cpu_float32 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_1_10000_1000_10000_cpu_bfloat16 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_1_10000_1000_10000_cpu_float16 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_1_10000_1000_10000_cpu_float32 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_2_1000_1000_1000_cpu_bfloat16 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_2_1000_1000_1000_cpu_float16 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_2_1000_1000_1000_cpu_float32 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_2_100_100_100_cpu_bfloat16 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_2_100_100_100_cpu_float16 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_2_100_100_100_cpu_float32 (test_linalg_re_cuda.TestLinalgReCudaCPU) ... skipped 'Only runs on cuda' test_addmm_baddbmm_large_input_1_10000_10000_10000_cuda_bfloat16 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok test_addmm_baddbmm_large_input_1_10000_10000_10000_cuda_float16 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok test_addmm_baddbmm_large_input_1_10000_10000_10000_cuda_float32 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok test_addmm_baddbmm_large_input_1_10000_1000_10000_cuda_bfloat16 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok test_addmm_baddbmm_large_input_1_10000_1000_10000_cuda_float16 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok test_addmm_baddbmm_large_input_1_10000_1000_10000_cuda_float32 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok test_addmm_baddbmm_large_input_2_1000_1000_1000_cuda_bfloat16 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok test_addmm_baddbmm_large_input_2_1000_1000_1000_cuda_float16 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok test_addmm_baddbmm_large_input_2_1000_1000_1000_cuda_float32 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok test_addmm_baddbmm_large_input_2_100_100_100_cuda_bfloat16 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok test_addmm_baddbmm_large_input_2_100_100_100_cuda_float16 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok test_addmm_baddbmm_large_input_2_100_100_100_cuda_float32 (test_linalg_re_cuda.TestLinalgReCudaCUDA) ... ok ---------------------------------------------------------------------- Ran 24 tests in 63.224s OK (skipped=12) ``` Differential Revision: D39718256 Pull Request resolved: https://github.com/pytorch/pytorch/pull/85550 Approved by: https://github.com/IvanYashchuk, https://github.com/malfet