Imported Upstream version 0.4upstream/0.4

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diff --git a/compute/ARMComputeEx/arm_compute/runtime/CL/functions/CLTransposeConvLayer.h b/compute/ARMComputeEx/arm_compute/runtime/CL/functions/CLTransposeConvLayer.h
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--- a/compute/ARMComputeEx/arm_compute/runtime/CL/functions/CLTransposeConvLayer.h
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-/*
- * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-/*
- * Copyright (c) 2017-2020 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_CLTRANSPOSECONVLAYER_H__
-#define __ARM_COMPUTE_CLTRANSPOSECONVLAYER_H__
-
-#include "arm_compute/runtime/CL/functions/CLDirectTransposeConvLayer.h"
-#include "arm_compute/runtime/CL/functions/CLGEMMDeconvolutionLayer.h"
-#include "arm_compute/runtime/IFunction.h"
-#include "arm_compute/runtime/IMemoryManager.h"
-
-#include <memory>
-
-namespace arm_compute
-{
-/** Basic function to compute the deconvolution layer. This function calls the following OpenCL
- * kernels/functions:
- *
- * -# @ref CLGEMMDeconvolutionLayer
- * -# @ref CLDirectTransposeConvLayer
- */
-class CLTransposeConvLayer : public IFunction
-{
-public:
-  /** Default constructor */
-  CLTransposeConvLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
-
-  /** Set the input, weights, biases and output tensors.
-   *
-   * @param[in,out] input        Input tensor. 3 lower dimensions represent a single input, and an
- * optional 4th dimension for batch of inputs. Data types supported: QASYMM8_SIGNED/QASYMM8/F16/F32.
-   * @param[in]     weights      The 4d weights with dimensions [width, height, IFM, OFM]. Data type
- * supported: Same as @p input.
-   * @param[in]     bias         (Optional) The biases have one dimension. Data type supported: Same
- * as @p input.
-   * @param[out]    output       Output tensor. The output has the same number of dimensions as the
- * @p input.
-   * @param[in]     deconv_info  Contains padding and policies to be used in the deconvolution, this
- * is described in @ref PadStrideInfo.
- * @param[in] invalid_right  The number of zeros added to right edge of the output.
- * @param[in] invalid_bottom  The number of zeros added to bottom edge of the output.
-   * @param[in]     weights_info (Optional) Weights information needed for @ref CLConvolutionLayer,
- * specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel.
-   *
-   */
-  void configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output,
-                 const PadStrideInfo &deconv_info, unsigned int invalid_right,
-                 unsigned int invalid_bottom, const WeightsInfo &weights_info = WeightsInfo());
-  /** Set the input, weights, biases and output tensors.
-   *
-   * @param[in]     compile_context The compile context to be used.
-   * @param[in,out] input           Input tensor. 3 lower dimensions represent a single input, and
- * an optional 4th dimension for batch of inputs. Data types supported:
- * QASYMM8_SIGNED/QASYMM8/F16/F32.
-   * @param[in]     weights         The 4d weights with dimensions [width, height, IFM, OFM]. Data
- * type supported: Same as @p input.
-   * @param[in]     bias            (Optional) The biases have one dimension. Data type supported:
- * Same as @p input.
-   * @param[out]    output          Output tensor. The output has the same number of dimensions as
- * the @p input.
-   * @param[in]     deconv_info     Contains padding and policies to be used in the deconvolution,
- * this is described in @ref PadStrideInfo.
- * @param[in] invalid_right  The number of zeros added to right edge of the output.
- * @param[in] invalid_bottom  The number of zeros added to bottom edge of the output.
-   * @param[in]     weights_info    (Optional) Weights information needed for @ref
- * CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref
- * CLWeightsReshapeKernel.
-   *
-   */
-  void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *weights,
-                 const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &deconv_info,
-                 unsigned int invalid_right, unsigned int invalid_bottom,
-                 const WeightsInfo &weights_info = WeightsInfo());
-  /** Static function to check if given info will lead to a valid configuration of @ref
- * CLTransposeConvLayer
-   *
-   * @param[in] input        Input tensor info. 3 lower dimensions represent a single input, and an
- * optional 4th dimension for batch of inputs. Data types supported: QASYMM8_SIGNED/QASYMM8/F16/F32.
-   * @param[in] weights      The 4d weights info with dimensions [width, height, IFM, OFM]. Data
- * type supported: Same as @p input.
-   * @param[in] bias         (Optional) The biases have one dimension. Data type supported: Same as
- * @p input.
-   * @param[in] output       Output tensor info. The output has the same number of dimensions as the
- * @p input.
-   * @param[in] deconv_info  Contains padding and policies to be used in the deconvolution, this is
- * described in @ref PadStrideInfo.
- * @param[in] invalid_right  The number of zeros added to right edge of the output.
- * @param[in] invalid_bottom  The number of zeros added to bottom edge of the output.
-   * @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer,
- * specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel.
-   *
-   * @return a status
-   */
-  static Status validate(const ITensorInfo *input, const ITensorInfo *weights,
-                         const ITensorInfo *bias, ITensorInfo *output,
-                         const PadStrideInfo &deconv_info, unsigned int invalid_right,
-                         unsigned int invalid_bottom,
-                         const WeightsInfo &weights_info = WeightsInfo());
-
-  static DeconvolutionMethod
-  get_deconvolution_method(const ITensorInfo *input, const ITensorInfo *weights,
-                           const ITensorInfo *bias, ITensorInfo *output,
-                           const PadStrideInfo &deconv_info, unsigned int invalid_right,
-                           unsigned int invalid_bottom, const WeightsInfo &weights_info);
-  // Inherited methods overridden:
-  void run() override;
-  void prepare() override;
-
-private:
-  std::shared_ptr<IMemoryManager> _memory_manager;
-  std::unique_ptr<IFunction> _function;
-};
-} // namespace arm_compute
-#endif /* __ARM_COMPUTE_CLTRANSPOSECONVLAYER_H__ */