COMPMID-470: Neon Deconvolution.

Implemented by up-sampling the input with zeros insertions between the input samples and convolving the Deconvolution kernels on the up-sampled result.

The upsampling is performed by the function NEDeconvolutionLayerUpsample.
Convolving is done by NEDirectConvolutionLayer.

Change-Id: I25f7ba7c6b99cd9310797972ede40aeff4a54900
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/85319
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

2 files changed, 73 insertions, 0 deletions

diff --git a/arm_compute/core/NEON/NEKernels.h b/arm_compute/core/NEON/NEKernels.h
index bbb440f591..5839d82ef0 100644
--- a/arm_compute/core/NEON/NEKernels.h
+++ b/arm_compute/core/NEON/NEKernels.h
@@ -43,6 +43,7 @@
 #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/NEDepthConcatenateKernel.h"
 #include "arm_compute/core/NEON/kernels/NEDepthConvertKernel.h"
 #include "arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h"
diff --git a/arm_compute/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h b/arm_compute/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h
new file mode 100644
index 0000000000..707564683f
--- /dev/null
+++ b/arm_compute/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h
@@ -0,0 +1,72 @@
+/*
+ * 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__ */