24 #ifndef ARM_COMPUTE_CLGEMMDECONVOLUTIONLAYER_H 25 #define ARM_COMPUTE_CLGEMMDECONVOLUTIONLAYER_H 42 class CLDeconvolutionReshapeOutputKernel;
142 std::unique_ptr<CLDeconvolutionReshapeOutputKernel> _deconv_reshape;
void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &deconv_info)
Set the input, weights, biases and output tensors.
Base class for all functions.
static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &deconv_info)
Static function to check if given info will lead to a valid configuration of CLDeconvolutionLayer.
Basic function to execute GEMMLowpQuantizeDown kernels on CL.
CLGEMMDeconvolutionLayer(std::shared_ptr< IMemoryManager > memory_manager=nullptr)
Constructor.
void run() override
Run the kernels contained in the function.
Store the tensor's metadata.
Basic function to perform tensor slicing.
Copyright (c) 2017-2021 Arm Limited.
CLGEMMDeconvolutionLayer & operator=(const CLGEMMDeconvolutionLayer &)=delete
Prevent instances of this class from being copied (As this class contains pointers) ...
Basic function to execute GEMM on OpenCL.
Function to run the deconvolution layer through a call to GEMM.
Basic function to execute an opencl::kernels::ClPermuteKernel.
Padding and stride information class.
Interface for OpenCL tensor.
Basic function to transpose a matrix on OpenCL.
Basic function to execute GEMMLowpMatrixMultiplyCore on OpenCL.
Basic function to run opencl::kernels::ClReshapeKernel.
void prepare() override
Prepare the function for executing.
Basic implementation of the OpenCL tensor interface.
~CLGEMMDeconvolutionLayer()
Default desctructor.