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/*
* Copyright (c) 2022 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_H
#define ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_H
#include "src/gpu/cl/ClCompileContext.h"
#include "src/gpu/cl/IClKernel.h"
#include "src/gpu/cl/IClOperator.h"
namespace arm_compute
{
namespace opencl
{
/** Basic function to simulate a directly convolution layer. This function calls the following OpenCL kernels:
*
* -# @ref opencl::ClTransposedConvolution
*/
class ClTransposedConvolution : public IClOperator
{
public:
/** Default constructor */
ClTransposedConvolution() = default;
/** Default Destructor */
~ClTransposedConvolution() = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
ClTransposedConvolution(const ClTransposedConvolution &) = delete;
/** Default move constructor */
ClTransposedConvolution(ClTransposedConvolution &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
ClTransposedConvolution &operator=(const ClTransposedConvolution &) = delete;
/** Default move assignment operator */
ClTransposedConvolution &operator=(ClTransposedConvolution &&) = default;
/** Set the input, weights, biases and output tensors.
*
* @note: Only NHWC data layout is supported
*
* @param[in] compile_context The compile context to be used.
* @param[in] input Input tensor info with dimensions [IFM, width, height, batch]
* Data types supported: F16/F32/QASYMM8/QASYMM8_SIGNED.
* @param[in] weights Weight tensor info with dimensions [IFM, width, height, OFM].
* Data type supported: Same as @p input
* @param[in] biases (Optional) Biases tensor info. Biases are 1D tensor with dimension [OFM].
* Data type supported: Should match @p input data type if floating point, otherwise S32.
* @param[out] output Output tensor info with dimensions [OFM, width, height, batch]
* The 1st dimension must be equal to the 4th dimension of the @p weights tensor.
* Data types supported: Same as @p input.
* @param[in] deconv_info Contains padding and stride information described in @ref PadStrideInfo.
*
*/
void configure(const CLCompileContext &compile_context,
const ITensorInfo *input,
const ITensorInfo *weights,
const ITensorInfo *biases,
ITensorInfo *output,
const PadStrideInfo &deconv_info);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to ClTransposedConvolution::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *input,
const ITensorInfo *weights,
const ITensorInfo *biases,
const ITensorInfo *output,
const PadStrideInfo &deconv_info);
// Inherited method overridden
void run(ITensorPack &tensors) override;
private:
std::unique_ptr<IClKernel> _transposed_conv_kernel{nullptr};
};
} // namespace opencl
} // namespace arm_compute
#endif /* ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_H */
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