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path: root/src/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.cpp
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Diffstat (limited to 'src/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.cpp')
-rw-r--r--src/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.cpp30
1 files changed, 29 insertions, 1 deletions
diff --git a/src/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.cpp b/src/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.cpp
index a75ab6b609..8179525470 100644
--- a/src/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.cpp
+++ b/src/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.cpp
@@ -118,9 +118,23 @@ void GCGEMMMatrixMultiplyKernel::configure(const IGCTensor *input0, const IGCTen
switch(input0->info()->data_type())
{
case DataType::F16:
+ build_opts.emplace("#define DATA_TYPE_FP16");
+
+#define MM_PROCESS_4X_OPTIMIZED
+
+#if defined(MM_PROCESS_4X)
+ num_elems_processed_per_iteration_x = 4;
+ num_elems_processed_per_iteration_y = std::min(static_cast<int>(output->info()->dimension(1)), 4);
+ build_opts.emplace("#define MM_PROCESS_4X");
+#elif defined(MM_PROCESS_4X_OPTIMIZED) /* MM_PROCESS_4X */
num_elems_processed_per_iteration_x = 4;
+ num_elems_processed_per_iteration_y = std::min(static_cast<int>(output->info()->dimension(1)), 4);
+ build_opts.emplace("#define MM_PROCESS_4X_OPTIMIZED");
+#elif defined(MM_PROCESS_8X) /* MM_PROCESS_4X */
+ num_elems_processed_per_iteration_x = 8;
num_elems_processed_per_iteration_y = 1;
- build_opts.emplace("#define DATA_TYPE_FP16");
+ build_opts.emplace("#define MM_PROCESS_8X");
+#endif /* MM_PROCESS_4X */
break;
case DataType::F32:
@@ -143,8 +157,12 @@ void GCGEMMMatrixMultiplyKernel::configure(const IGCTensor *input0, const IGCTen
win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
+#if defined(MM_PROCESS_4X_OPTIMIZED)
+ AccessWindowStatic input0_access(input0->info(), 0, 0, ceil_to_multiple(input0->info()->dimension(0), 8), ceil_to_multiple(input0->info()->dimension(1), num_elems_processed_per_iteration_y));
+#else /* MM_PROCESS_4X_OPTIMIZED */
AccessWindowStatic input0_access(input0->info(), 0, 0, ceil_to_multiple(input0->info()->dimension(0), num_elems_processed_per_iteration_x), ceil_to_multiple(input0->info()->dimension(1),
num_elems_processed_per_iteration_y));
+#endif /* MM_PROCESS_4X_OPTIMIZED */
AccessWindowStatic input1_access(input1->info(), 0, 0, ceil_to_multiple(input1->info()->dimension(0), num_elems_processed_per_iteration_x), input1->info()->dimension(1));
AccessWindowRectangle output_access(output->info(), 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y);
@@ -185,9 +203,19 @@ void GCGEMMMatrixMultiplyKernel::run(const Window &window)
switch(_input0->info()->data_type())
{
case DataType::F16:
+#if defined(MM_PROCESS_4X)
add_2D_tensor_argument(idx, _input0, BufferParam(1, 2), slice);
add_2D_tensor_argument(idx, _input1, BufferParam(2, 3), slice_b);
add_2D_tensor_argument(idx, _output, BufferParam(3, 3), slice);
+#elif defined(MM_PROCESS_4X_OPTIMIZED) /* MM_PROCESS_4X */
+ add_2D_tensor_argument(idx, _input0, BufferParam(1, 4), slice);
+ add_2D_tensor_argument(idx, _input1, BufferParam(2, 3), slice_b);
+ add_2D_tensor_argument(idx, _output, BufferParam(3, 3), slice);
+#elif defined(MM_PROCESS_8X) /* MM_PROCESS_4X */
+ add_2D_tensor_argument(idx, _input0, BufferParam(1, 4), slice);
+ add_2D_tensor_argument(idx, _input1, BufferParam(2, 4), slice_b);
+ add_2D_tensor_argument(idx, _output, BufferParam(3, 4), slice);
+#endif /* MM_PROCESS_4X */
break;
case DataType::F32: