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>
diff --git a/src/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.cpp b/src/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.cpp
index 2b7b391..a02ebf6 100644
--- a/src/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.cpp
+++ b/src/core/NEON/kernels/NELocallyConnectedMatrixMultiplyKernel.cpp
@@ -49,7 +49,7 @@
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 @@
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 @@
#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 @@
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 @@
{
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: