diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLConvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLConvolutionLayer.h | 84 |
1 files changed, 59 insertions, 25 deletions
diff --git a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h index 6884754d83..8487be71c3 100644 --- a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2021 Arm Limited. + * Copyright (c) 2017-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -21,13 +21,13 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifndef ARM_COMPUTE_CLCONVOLUTIONLAYER_H -#define ARM_COMPUTE_CLCONVOLUTIONLAYER_H +#ifndef ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLCONVOLUTIONLAYER_H +#define ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLCONVOLUTIONLAYER_H -#include "arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h" -#include "arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h" -#include "arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h" -#include "arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h" +#include "arm_compute/core/CL/CLCompileContext.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/function_info/ActivationLayerInfo.h" +#include "arm_compute/runtime/CL/CLTensor.h" #include "arm_compute/runtime/IFunction.h" #include "arm_compute/runtime/IMemoryManager.h" @@ -35,11 +35,15 @@ namespace arm_compute { +class CLCompileContext; +class ICLTensor; +class ITensorInfo; + /** Basic function to compute the convolution layer. This function calls the following OpenCL kernels/functions: * - * -# @ref CLGEMMConvolutionLayer - * -# @ref CLWinogradConvolutionLayer - * -# @ref CLDirectConvolutionLayer + * -# @ref opencl::ClGemmConv2d + * -# @ref opencl::ClWinogradConv2d + * -# @ref opencl::ClDirectConv2d * -# @ref CLFFTConvolutionLayer * * The function selects one of the algorithms mentioned above based on: @@ -116,8 +120,16 @@ public: * available which may introduce a drop of accuracy as well. Default is false * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout */ - void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo(), - const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false, unsigned int num_groups = 1); + void configure(ICLTensor *input, + const ICLTensor *weights, + const ICLTensor *biases, + ICLTensor *output, + const PadStrideInfo &conv_info, + const WeightsInfo &weights_info = WeightsInfo(), + const Size2D &dilation = Size2D(1U, 1U), + const ActivationLayerInfo &act_info = ActivationLayerInfo(), + bool enable_fast_math = false, + unsigned int num_groups = 1); /** Set the input and output tensors. * * @param[in] compile_context The compile context to be used. @@ -138,9 +150,17 @@ public: * available which may introduce a drop of accuracy as well. Default is false * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout */ - void configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, - const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false, - unsigned int num_groups = 1); + void configure(const CLCompileContext &compile_context, + ICLTensor *input, + const ICLTensor *weights, + const ICLTensor *biases, + ICLTensor *output, + const PadStrideInfo &conv_info, + const WeightsInfo &weights_info = WeightsInfo(), + const Size2D &dilation = Size2D(1U, 1U), + const ActivationLayerInfo &act_info = ActivationLayerInfo(), + bool enable_fast_math = false, + unsigned int num_groups = 1); /** Static function to check if given info will lead to a valid configuration of @ref CLConvolutionLayer * * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], @@ -162,9 +182,16 @@ public: * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, - const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false, - unsigned int num_groups = 1); + static Status validate(const ITensorInfo *input, + const ITensorInfo *weights, + const ITensorInfo *biases, + const ITensorInfo *output, + const PadStrideInfo &conv_info, + const WeightsInfo &weights_info = WeightsInfo(), + const Size2D &dilation = Size2D(1U, 1U), + const ActivationLayerInfo &act_info = ActivationLayerInfo(), + bool enable_fast_math = false, + unsigned int num_groups = 1); /** Static function to check if given info will return the convolution called by @ref CLConvolutionLayer * * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], @@ -182,17 +209,24 @@ 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 * - * @return a status + * @return the Convolution Method Hint */ - static ConvolutionMethod get_convolution_method(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output, const PadStrideInfo &conv_info, - const WeightsInfo &weights_info, const ActivationLayerInfo &act_info, const GPUTarget gpu_target, const Size2D &dilation = Size2D(1U, 1U), bool enable_fast_math = false); + static ConvolutionMethod get_convolution_method(const ITensorInfo *input, + const ITensorInfo *weights, + const ITensorInfo *output, + const PadStrideInfo &conv_info, + const WeightsInfo &weights_info, + const ActivationLayerInfo &act_info, + const GPUTarget gpu_target, + const Size2D &dilation = Size2D(1U, 1U), + bool enable_fast_math = false); // Inherited methods overridden: void run() override; void prepare() override; private: - std::shared_ptr<IMemoryManager> _memory_manager; - std::unique_ptr<IFunction> _function; + struct Impl; + std::unique_ptr<Impl> _impl; }; -} -#endif /* ARM_COMPUTE_CLCONVOLUTIONLAYER_H */ +} // namespace arm_compute +#endif // ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLCONVOLUTIONLAYER_H |