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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-05-03 13:44:35 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:51:17 +0000 |
| commit | 932b561159cd6a8c9230bbd0343790c85755846e (patch) | |
| tree | f5345af71844e8f78873258bddec2cb37b39b8f8 /src/runtime/NEON/functions/NEGEMM.cpp | |
| parent | 563494c2f447e201e88e6d7133a41e12971777eb (diff) | |
| download | ComputeLibrary-932b561159cd6a8c9230bbd0343790c85755846e.tar.gz | |
COMPMID-959: Perform pretranspose if allowed on NEON assembly
Change-Id: I281699ce7270aec1317c47b5a13799954cf6c9e8
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/130010
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/runtime/NEON/functions/NEGEMM.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEGEMM.cpp | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/src/runtime/NEON/functions/NEGEMM.cpp b/src/runtime/NEON/functions/NEGEMM.cpp index e0859be93e..9168ed4327 100644 --- a/src/runtime/NEON/functions/NEGEMM.cpp +++ b/src/runtime/NEON/functions/NEGEMM.cpp @@ -39,7 +39,7 @@ namespace arm_compute { NEGEMM::NEGEMM(std::shared_ptr<IMemoryManager> memory_manager) - : _memory_group(std::move(memory_manager)), _interleave_kernel(), _transpose_kernel(), _mm_kernel(), _asm_glue(), _ma_kernel(), _tmp_a(), _tmp_b(), _workspace(), + : _memory_group(std::move(memory_manager)), _interleave_kernel(), _transpose_kernel(), _mm_kernel(), _asm_glue(), _ma_kernel(), _tmp_a(), _tmp_b(), _workspace(), _B_pretransposed(), _run_vector_matrix_multiplication(false), _run_addition(false), _is_first_run(true), _reshape_b_only_on_first_run(false) { } @@ -66,7 +66,8 @@ void NEGEMM::configure(const ITensor *a, const ITensor *b, const ITensor *c, ITe _reshape_b_only_on_first_run = gemm_info.reshape_b_only_on_first_run(); _run_vector_matrix_multiplication = a->info()->dimension(1) < 2; - const bool run_optimised = a->info()->data_type() == DataType::F32 && (c == nullptr || beta == 0.f) && setup_assembly_kernel(a, b, d, alpha, beta, _workspace, _memory_group, _asm_glue); + const bool run_optimised = a->info()->data_type() == DataType::F32 && (c == nullptr || beta == 0.f) + && setup_assembly_kernel(a, b, d, alpha, beta, _reshape_b_only_on_first_run, _workspace, _B_pretransposed, _memory_group, _asm_glue); // Check if the first input tensor is a vector. // If so, all the kernels for reshaping the tensors can be skipped |