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>

2 files changed, 1 insertions, 74 deletions

diff --git a/arm_compute/core/NEON/NEKernels.h b/arm_compute/core/NEON/NEKernels.h
index 8a4cf7abeb..d5c4c340ee 100644
--- a/arm_compute/core/NEON/NEKernels.h
+++ b/arm_compute/core/NEON/NEKernels.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2016, 2017 ARM Limited.
+ * Copyright (c) 2016, 2018 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -43,7 +43,6 @@
 #include "arm_compute/core/NEON/kernels/NEColorConvertKernel.h"
 #include "arm_compute/core/NEON/kernels/NEConvolutionKernel.h"
 #include "arm_compute/core/NEON/kernels/NECumulativeDistributionKernel.h"
-#include "arm_compute/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h"
 #include "arm_compute/core/NEON/kernels/NEDepthConcatenateLayerKernel.h"
 #include "arm_compute/core/NEON/kernels/NEDepthConvertLayerKernel.h"
 #include "arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h"
diff --git a/arm_compute/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h b/arm_compute/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h
deleted file mode 100644
index 707564683f..0000000000
--- a/arm_compute/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h
+++ /dev/null
@@ -1,72 +0,0 @@
-/*
- * Copyright (c) 2017 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_NEDECONVOLUTIONLAYERKERNEL_H__
-#define __ARM_COMPUTE_NEDECONVOLUTIONLAYERKERNEL_H__
-
-#include "arm_compute/core/NEON/INEKernel.h"
-#include "arm_compute/core/Types.h"
-
-namespace arm_compute
-{
-class ITensor;
-
-/** NEON kernel to perform scaling on a tensor */
-class NEDeconvolutionLayerUpsampleKernel : public INEKernel
-{
-public:
-    /** Default constructor */
-    NEDeconvolutionLayerUpsampleKernel();
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    NEDeconvolutionLayerUpsampleKernel(const NEDeconvolutionLayerUpsampleKernel &) = delete;
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    NEDeconvolutionLayerUpsampleKernel &operator=(const NEDeconvolutionLayerUpsampleKernel &) = delete;
-    /** Allow instances of this class to be moved */
-    NEDeconvolutionLayerUpsampleKernel(NEDeconvolutionLayerUpsampleKernel &&) = default;
-    /** Allow instances of this class to be moved */
-    NEDeconvolutionLayerUpsampleKernel &operator=(NEDeconvolutionLayerUpsampleKernel &&) = default;
-    /** Default destructor */
-    ~NEDeconvolutionLayerUpsampleKernel() = default;
-
-    /** Initialise the kernel's inputs, output and interpolation policy
-     *
-     * @param[in]  input   Source tensor. Data types supported: F32.
-     * @param[in]  offsets Offset to access the pixel with NEAREST interpolation or the top-left pixel with BILINEAR interpolation in the input tensor. Data type supported: S32.
-     * @param[out] output  Destination tensor. Data types supported: F32. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
-     */
-    void configure(const ITensor *input, const ITensor *offsets, ITensor *output);
-
-    // Inherited methods overridden:
-    void run(const Window &window, const ThreadInfo &info) override;
-    BorderSize border_size() const override;
-
-private:
-    /** Function to perform scale using nearest interpolation on the given window */
-    void scale_nearest(const Window &window);
-
-    const ITensor *_offsets;
-    const ITensor *_input;
-    ITensor       *_output;
-};
-} // arm_compute
-#endif /*__ARM_COMPUTE_NEDECONVOLUTIONLAYERKERNEL_H__ */