diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h | 72 |
1 files changed, 55 insertions, 17 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h b/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h index cc11f9cc5a..53bc079cb2 100644 --- a/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h +++ b/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h @@ -21,26 +21,57 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifndef __ARM_COMPUTE_CL_DEPTHWISE_CONVOLUTION_H__ -#define __ARM_COMPUTE_CL_DEPTHWISE_CONVOLUTION_H__ +#ifndef __ARM_COMPUTE_CLDEPTHWISECONVOLUTION_H__ +#define __ARM_COMPUTE_CLDEPTHWISECONVOLUTION_H__ -#include "arm_compute/core/CL/kernels/CLDepthwiseConvolutionKernel.h" +#include "arm_compute/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.h" +#include "arm_compute/core/CL/kernels/CLDepthwiseIm2ColKernel.h" +#include "arm_compute/core/CL/kernels/CLDepthwiseVectorToTensorKernel.h" +#include "arm_compute/core/CL/kernels/CLDepthwiseWeightsReshapeKernel.h" #include "arm_compute/core/CL/kernels/CLFillBorderKernel.h" +#include "arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h" #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CL/CLTensor.h" -#include "arm_compute/runtime/CL/ICLSimpleFunction.h" #include "arm_compute/runtime/IFunction.h" -#include <cstdint> - namespace arm_compute { class ICLTensor; -/** Basic function to execute depthwise convolution. This function calls the following OpenCL kernels: +/** Basic function to execute a depthwise convolution for kernel size 3x3xC. This function calls the following OpenCL kernels: * - * -# @ref CLFillBorderKernel (executed if border_mode == CONSTANT or border_mode == REPLICATE) - * -# @ref CLDepthwiseConvolutionKernel + * -# @ref CLDepthwiseConvolution3x3Kernel + * -# @ref CLFillBorderKernel (if pad_x or pad_y > 0) + * + */ +class CLDepthwiseConvolution3x3 : public IFunction +{ +public: + /** Default constructor */ + CLDepthwiseConvolution3x3(); + /** Initialize the function's source, destination, conv and border_size. + * + * @param[in, out] input Source tensor. Data type supported: F32. (Written to only for border filling). + * @param[out] output Destination tensor. Data type supported: same as @p input. + * @param[in] weights Weights tensor. These are 3D tensors with shape [3, 3, IFM]. Data type supported: Same as @p input. + * @param[in] conv_info Padding and stride information to use for the convolution. + */ + void configure(ICLTensor *input, ICLTensor *output, const ICLTensor *weights, const PadStrideInfo &conv_info); + + // Inherited methods overriden: + void run() override; + +private: + CLDepthwiseConvolution3x3Kernel _kernel; + CLFillBorderKernel _border_handler; +}; + +/** Basic function to execute a generic depthwise convolution. This function calls the following OpenCL kernels: + * + * -# @ref CLDepthwiseIm2ColKernel + * -# @ref CLGEMMMatrixVectorMultiplyKernel + * -# @ref CLDepthwiseWeightsReshapeKernel + * -# @ref CLFillBorderKernel (if pad_x or pad_y > 0) * */ class CLDepthwiseConvolution : public IFunction @@ -48,12 +79,12 @@ class CLDepthwiseConvolution : public IFunction public: /** Default constructor */ CLDepthwiseConvolution(); - /** Initialize the function's source, destination, conv and border_size. + /** Initialize the function's source, destination, weights and convolution information. * - * @param[in] input Source tensor. DataType supported: F32. (Written to only for border filling). - * @param[out] output Destination tensor. DataType supported: F32. - * @param[in] weights Weights tensor. These are 3D tensors with dimensions [3, 3, IFM]. Data type supported: Same as @p input. - * @param[in] conv_info Padding and stride information to use for the convolution. DataType supported: F32. + * @param[in, out] input Source tensor. Data type supported: F32. (Written to only for border filling). + * @param[out] output Destination tensor. Data type supported: same as @p input. + * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] conv_info Padding and stride information to use for the convolution. */ void configure(ICLTensor *input, ICLTensor *output, const ICLTensor *weights, const PadStrideInfo &conv_info); @@ -61,8 +92,15 @@ public: void run() override; private: - CLDepthwiseConvolutionKernel _kernel; - CLFillBorderKernel _border_handler; + CLDepthwiseIm2ColKernel _im2col_kernel; + CLDepthwiseWeightsReshapeKernel _weights_reshape_kernel; + CLGEMMMatrixVectorMultiplyKernel _v2mm_kernel; + CLDepthwiseVectorToTensorKernel _vector_to_tensor_kernel; + CLFillBorderKernel _v2mm_input_fill_border; + CLFillBorderKernel _v2mm_weights_fill_border; + CLTensor _input_reshaped; + CLTensor _weights_reshaped; + CLTensor _v2mm_output; }; } -#endif /*__ARM_COMPUTE_CL_DEPTHWISE_CONVOLUTION_H__ */ +#endif /*__ARM_COMPUTE_CLDEPTHWISECONVOLUTION_H__ */ |