Searched refs:autotune_select_algorithm (Results 1 – 13 of 13) sorted by relevance
/aosp_15_r20/external/pytorch/torch/_inductor/kernel/ |
H A D | mm.py | 27 autotune_select_algorithm, 249 return autotune_select_algorithm(name, choices, [mat1, mat2], layout) 313 return autotune_select_algorithm("int_mm", choices, [mat1, mat2], layout) 319 return autotune_select_algorithm("int_mm", choices, [mat1, mat2], layout) 348 return autotune_select_algorithm("addmm", choices, [inp, mat1, mat2], layout) 452 return autotune_select_algorithm( 509 return autotune_select_algorithm( 750 return autotune_select_algorithm(name, choices, input_nodes, layout) 776 return autotune_select_algorithm("int_mm", choices, [mat1, mat2, mat3], layout)
|
H A D | bmm.py | 8 autotune_select_algorithm, 167 return autotune_select_algorithm("bmm", choices, [mat1, mat2], layout) 192 return autotune_select_algorithm("baddbmm", choices, [inp, mat1, mat2], layout)
|
H A D | unpack_mixed_mm.py | 5 from ..select_algorithm import autotune_select_algorithm, TritonTemplate 87 return autotune_select_algorithm("uint4x2_mixed_mm", choices, [mat1, mat2], layout)
|
H A D | mm_plus_mm.py | 8 autotune_select_algorithm, 246 return autotune_select_algorithm(
|
H A D | mm_scaled.py | 12 autotune_select_algorithm, 304 return autotune_select_algorithm("scaled_mm", choices, input_nodes, layout)
|
H A D | flex_attention.py | 29 from ..select_algorithm import autotune_select_algorithm, realize_inputs, TritonTemplate 895 autotune_select_algorithm( 1832 grad_key = autotune_select_algorithm(
|
H A D | flex_decoding.py | 14 from ..select_algorithm import autotune_select_algorithm, TritonTemplate 535 buf_ACC = autotune_select_algorithm(
|
H A D | conv.py | 19 autotune_select_algorithm, 647 return autotune_select_algorithm("convolution", choices, args, layout)
|
/aosp_15_r20/external/pytorch/torch/_inductor/ |
H A D | quantized_lowerings.py | 12 autotune_select_algorithm, 90 return autotune_select_algorithm(
|
H A D | mkldnn_lowerings.py | 24 autotune_select_algorithm, 220 result = autotune_select_algorithm( 282 result = autotune_select_algorithm( 709 result = autotune_select_algorithm( 1012 result = autotune_select_algorithm( 1074 result: TensorBox = autotune_select_algorithm(
|
H A D | select_algorithm.py | 1714 def autotune_select_algorithm(*args, **kwargs): function
|
/aosp_15_r20/external/pytorch/torchgen/_autoheuristic/ |
H A D | README.md | 41 This call has to be followed by a call to `autotune_select_algorithm()`, 43 autotune_select_algorithm(name, choices, input_nodes, layout) 45 …nodes`, and `name` in the `AutoHeuristicSelectAlgorithm()` and `autotune_select_algorithm()` calls…
|
/aosp_15_r20/external/pytorch/torch/_inductor/fx_passes/ |
H A D | b2b_gemm.py | 28 autotune_select_algorithm, 556 return autotune_select_algorithm("b2b_gemm", choices, [A, B, C], layout)
|