diff options
Diffstat (limited to 'src/cpu/operators/CpuWinogradConv2d.h')
| -rw-r--r-- | src/cpu/operators/CpuWinogradConv2d.h | 62 |
1 files changed, 36 insertions, 26 deletions
diff --git a/src/cpu/operators/CpuWinogradConv2d.h b/src/cpu/operators/CpuWinogradConv2d.h index e0df34e2db..7e1d952462 100644 --- a/src/cpu/operators/CpuWinogradConv2d.h +++ b/src/cpu/operators/CpuWinogradConv2d.h @@ -26,10 +26,11 @@ #include "arm_compute/core/TensorInfo.h" #include "arm_compute/runtime/FunctionDescriptors.h" + #include "src/core/common/Macros.h" #include "src/cpu/ICpuOperator.h" -#include "src/cpu/kernels/CpuWinogradConv2dKernel.h" #include "src/cpu/kernels/assembly/gemm_common.hpp" +#include "src/cpu/kernels/CpuWinogradConv2dKernel.h" #include "src/cpu/operators/CpuActivation.h" #include "src/cpu/operators/CpuGemm.h" #include "src/cpu/operators/CpuPermute.h" @@ -73,7 +74,11 @@ public: * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation * available which may introduce a drop of accuracy as well. Default is false */ - void configure(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const PadStrideInfo &conv_info, + void configure(const ITensorInfo *src, + const ITensorInfo *weights, + const ITensorInfo *biases, + ITensorInfo *dst, + const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false); /** Static function to check if given info will lead to a valid configuration of @ref CpuWinogradConv2d @@ -82,13 +87,17 @@ public: * * @return a status */ - static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const PadStrideInfo &conv_info, + static Status validate(const ITensorInfo *src, + const ITensorInfo *weights, + const ITensorInfo *biases, + const ITensorInfo *dst, + const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false); // Inherited methods overridden: - void run(ITensorPack &tensors) override; - void prepare(ITensorPack &constants) override; + void run(ITensorPack &tensors) override; + void prepare(ITensorPack &constants) override; experimental::MemoryRequirements workspace() const override; private: @@ -108,27 +117,28 @@ private: PermutedOutput = TransformedInput, Count = 10 }; - std::unique_ptr<CpuGemm> _gemm_function; - std::unique_ptr<CpuActivation> _activation_func; - std::unique_ptr<ICPPKernel> _transform_input_kernel; - std::unique_ptr<ICPPKernel> _transform_output_kernel; - std::unique_ptr<CpuPermute> _permute_input; - std::unique_ptr<CpuPermute> _permute_output; - std::unique_ptr<CpuPermute> _permute_weights; - experimental::MemoryRequirements _aux_mem{ Count }; - std::unique_ptr<arm_conv::ConvolutionArgs> _conv_args; // Make it unique ptr because this type does not have a default constructor - arm_conv::winograd::WinogradImpl _winograd_impl; - DataLayout _data_layout; - TensorInfo _winograd_transformed_input; - TensorInfo _winograd_transformed_output; - TensorInfo _winograd_transformed_weights; - TensorInfo _input_workspace; - TensorInfo _output_workspace; - TensorInfo _weights_hwio; - TensorInfo _input_nhwc; - TensorInfo _output_nhwc; - bool _is_prepared; - bool _run_activation; + std::unique_ptr<CpuGemm> _gemm_function; + std::unique_ptr<CpuActivation> _activation_func; + std::unique_ptr<ICPPKernel> _transform_input_kernel; + std::unique_ptr<ICPPKernel> _transform_output_kernel; + std::unique_ptr<CpuPermute> _permute_input; + std::unique_ptr<CpuPermute> _permute_output; + std::unique_ptr<CpuPermute> _permute_weights; + experimental::MemoryRequirements _aux_mem{Count}; + std::unique_ptr<arm_conv::ConvolutionArgs> + _conv_args; // Make it unique ptr because this type does not have a default constructor + arm_conv::winograd::WinogradImpl _winograd_impl; + DataLayout _data_layout; + TensorInfo _winograd_transformed_input; + TensorInfo _winograd_transformed_output; + TensorInfo _winograd_transformed_weights; + TensorInfo _input_workspace; + TensorInfo _output_workspace; + TensorInfo _weights_hwio; + TensorInfo _input_nhwc; + TensorInfo _output_nhwc; + bool _is_prepared; + bool _run_activation; }; } // namespace cpu } // namespace arm_compute |