diff options
Diffstat (limited to 'src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp | 23 |
1 files changed, 17 insertions, 6 deletions
diff --git a/src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp b/src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp index 7ad017f918..7af42904e8 100644 --- a/src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLWinogradConvolutionLayer.cpp @@ -28,6 +28,15 @@ #include "arm_compute/core/Validate.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/runtime/CL/CLScheduler.h" +#include "src/core/CL/kernels/CLFillBorderKernel.h" +#include "src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h" +#include "src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h" +#include "src/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h" +#include "src/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h" +#include "src/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.h" +#include "src/core/CL/kernels/CLWinogradFilterTransformKernel.h" +#include "src/core/CL/kernels/CLWinogradOutputTransformKernel.h" +#include "support/MemorySupport.h" using namespace arm_compute; @@ -90,11 +99,13 @@ bool check_support_fast_math(const Size2D &output_tile, const Size2D &kernel_siz } // namespace CLWinogradConvolutionLayer::CLWinogradConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager) - : _memory_group(memory_manager), _batched_mm(memory_manager), _input_transform(), _filter_transform(), _output_transform(), _input0(), _input1(), _batched_mm_output(), _original_weights(nullptr), - _is_prepared(false) + : _memory_group(memory_manager), _batched_mm(memory_manager), _input_transform(), _filter_transform(support::cpp14::make_unique<CLWinogradFilterTransformKernel>()), + _output_transform(support::cpp14::make_unique<CLWinogradOutputTransformKernel>()), _input0(), _input1(), _batched_mm_output(), _original_weights(nullptr), _is_prepared(false) { } +CLWinogradConvolutionLayer::~CLWinogradConvolutionLayer() = default; + void CLWinogradConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info, bool enable_fast_math) { @@ -139,7 +150,7 @@ void CLWinogradConvolutionLayer::configure(const CLCompileContext &compile_conte _input_transform.configure(compile_context, input, &_input0, winograd_info); // Configure filter transform - _filter_transform.configure(compile_context, weights, &_input1, winograd_info); + _filter_transform->configure(compile_context, weights, &_input1, winograd_info); // Configure batched matrix multiply _batched_mm.configure(compile_context, &_input0, &_input1, nullptr, &_batched_mm_output, 1.0f, 0.0f, GEMMInfo(false, false, true /* Reshape weights only for the first run*/, 0, false, false, @@ -147,7 +158,7 @@ void CLWinogradConvolutionLayer::configure(const CLCompileContext &compile_conte (input->info()->data_type() == DataType::F16))); // Configure output transform - _output_transform.configure(compile_context, &_batched_mm_output, biases, output, winograd_info, act_info); + _output_transform->configure(compile_context, &_batched_mm_output, biases, output, winograd_info, act_info); // Allocate temporary tensors _input0.allocator()->allocate(); @@ -218,7 +229,7 @@ void CLWinogradConvolutionLayer::run() _batched_mm.run(); // Run output transform - CLScheduler::get().enqueue(_output_transform); + CLScheduler::get().enqueue(*_output_transform); } void CLWinogradConvolutionLayer::prepare() @@ -227,7 +238,7 @@ void CLWinogradConvolutionLayer::prepare() { // Run filter transform and mark original weights as unused _input1.allocator()->allocate(); - CLScheduler::get().enqueue(_filter_transform, false); + CLScheduler::get().enqueue(*_filter_transform, false); _original_weights->mark_as_unused(); // Prepare GEMM and release reshaped weights if marked unused by CLGEMM |