COMPMID-471 Implement Deconvolution on OpenCL
Change-Id: Ie00c6b08a51d30c5ce2637d40ee3d165b8a68686
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110311
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h
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+/*
+ * Copyright (c) 2017, 2018 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_CLDECONVOLUTIONLAYER_H__
+#define __ARM_COMPUTE_CLDECONVOLUTIONLAYER_H__
+
+#include "arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h"
+#include "arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h"
+
+#include "arm_compute/runtime/CL/CLMemoryGroup.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/IFunction.h"
+#include "arm_compute/runtime/IMemoryManager.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+class ICLTensor;
+/** Function to run the deconvolution layer.
+ *
+ * Deconvolution Layer is the backward pass of Convolution Layer. First we transform the input depending on the stride and pad info and then perform a 1x1
+ * convolution pass. Input stride defines how many zeroes we should put between each element of the input, pad is the amount of padding and finally a is a user
+ * specified value where a < stride - 1, that increases the padding top and right of the input image.
+ *
+ * The relation between input to output is as follows:
+ * width_output = round((width_input − 1) ∗ (stride_x - 1) − 2 ∗ padding_x + kernel_x + inner_border_right )
+ * height_output = round((height_input − 1) ∗ (stride_y - 1) − 2 ∗ padding_y + kernel_y + inner_border_top )
+ *
+ * where:
+ * width_input is the size of the first input dimension.
+ * height_input is the size of the second input dimension.
+ * width_output is the size of the first output dimension.
+ * height_output is the size of the second output dimension.
+ * kernel_x and kernel_y are the convolution sizes in x and y.
+ * inner_border_right and inner_border_top the number of zeros added to the right and top edges of the input.
+ * stride_x and stride_y is the input stride of the first and second dimension.
+ *
+ */
+class CLDeconvolutionLayer : public IFunction
+{
+public:
+ /** Constructor */
+ CLDeconvolutionLayer(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: F32.
+ * @param[in] weights The 4d weights with dimensions [width, height, OFM, IFM]. 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] info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo.
+ * @param[in] inner_border_right The number of zeros added to right edge of the input.
+ * @param[in] inner_border_top The number of zeros added to top edge of the input.
+ *
+ */
+ void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &info,
+ unsigned int inner_border_right, unsigned int inner_border_top);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayer
+ *
+ * @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: F32.
+ * @param[in] weights The 4d weights info with dimensions [width, height, OFM, IFM]. 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] info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo.
+ * @param[in] inner_border_right The number of zeros added to right edge of the input.
+ * @param[in] inner_border_top The number of zeros added to top edge of the input.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &info,
+ unsigned int inner_border_right, unsigned int inner_border_top);
+
+ // Inherited methods overridden:
+ void run() override;
+
+private:
+ CLMemoryGroup _memory_group;
+ CLDeconvolutionLayerUpsample _scale_f;
+ CLDirectConvolutionLayer _conv_f;
+ CLTensor _scaled_output;
+};
+}
+#endif /* __ARM_COMPUTE_CLDECONVOLUTIONLAYER_H__ */
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