diff options
| author | Moritz Pflanzer <moritz.pflanzer@arm.com> | 2017-09-07 09:48:04 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | c186b574e52b81c75e551cee46a6c4cc7d500c90 (patch) | |
| tree | 682add7d1b705eb6d0b79b1f9a7a039dbaa4287b /src/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.cpp | |
| parent | 3e05e4e85912e745b8555102e1bcef13478d2ceb (diff) | |
| download | ComputeLibrary-c186b574e52b81c75e551cee46a6c4cc7d500c90.tar.gz | |
COMPMID-481: Add thread info parameter
Change-Id: Iebb50a88d017445b6b37a86563ebd4abd86c5cf5
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86788
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.cpp | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/src/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.cpp b/src/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.cpp index 2b7b391c43..a02ebf61ee 100644 --- a/src/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.cpp +++ b/src/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.cpp @@ -49,7 +49,7 @@ class Coordinates; namespace { -void vector_matrix_multiply_f16(const ITensor *input0, const ITensor *input1, ITensor *output, const Window &window) +void vector_matrix_multiply_f16(const ITensor *input0, const ITensor *input1, ITensor *output, const Window &window, const ThreadInfo &info) { #ifdef ARM_COMPUTE_ENABLE_FP16 const auto width_matrix_b = static_cast<int>(output->info()->dimension(0)); @@ -57,8 +57,8 @@ void vector_matrix_multiply_f16(const ITensor *input0, const ITensor *input1, IT const auto num_elems_vec_a = static_cast<int>(input0->info()->dimension(0)); // The implementation computes 16 elements per iteration - const int window_start_x = 16 * window.thread_id(); - const int window_step_x = 16 * window.num_threads(); + const int window_start_x = 16 * info.thread_id; + const int window_step_x = 16 * info.num_threads; // Make sure (window_end_x - window_start_x) is a multiple of window_step_x const int window_end_x = ceil_to_multiple(width_matrix_b - window_start_x, window_step_x) + window_start_x; @@ -169,15 +169,15 @@ void vector_matrix_multiply_f16(const ITensor *input0, const ITensor *input1, IT #endif /* ARM_COMPUTE_ENABLE_FP16 */ } -void vector_matrix_multiply_f32(const ITensor *input0, const ITensor *input1, ITensor *output, const Window &window) +void vector_matrix_multiply_f32(const ITensor *input0, const ITensor *input1, ITensor *output, const Window &window, const ThreadInfo &info) { const auto width_matrix_b = static_cast<int>(output->info()->dimension(0)); const auto in_b_stride = static_cast<int>(input1->info()->strides_in_bytes()[1] / data_size_from_type(input1->info()->data_type())); const auto num_elems_vec_a = static_cast<int>(input0->info()->dimension(0)); // The implementation computes 16 elements per iteration - const int window_start_x = 16 * window.thread_id(); - const int window_step_x = 16 * window.num_threads(); + const int window_start_x = 16 * info.thread_id; + const int window_step_x = 16 * info.num_threads; // Make sure (window_end_x - window_start_x) is a multiple of window_step_x const int window_end_x = ceil_to_multiple(width_matrix_b - window_start_x, window_step_x) + window_start_x; @@ -337,7 +337,7 @@ void NELocallyConnectedMatrixMultiplyKernel::configure(const ITensor *input0, co INEKernel::configure(win); } -void NELocallyConnectedMatrixMultiplyKernel::run(const Window &window) +void NELocallyConnectedMatrixMultiplyKernel::run(const Window &window, const ThreadInfo &info) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); @@ -346,12 +346,12 @@ void NELocallyConnectedMatrixMultiplyKernel::run(const Window &window) { case DataType::F16: { - vector_matrix_multiply_f16(_input0, _input1, _output, window); + vector_matrix_multiply_f16(_input0, _input1, _output, window, info); break; } case DataType::F32: { - vector_matrix_multiply_f32(_input0, _input1, _output, window); + vector_matrix_multiply_f32(_input0, _input1, _output, window, info); break; } default: |