COMPMID-935 - Implementing Convolution with Winograd on OpenCL (part 4)

Implemented Winograd Output Transform (2x2,3x3) on OpenCL
Implemented CLWinogradConvolutionLayer on OpenCL

Change-Id: I6a113fc5f052ca07f878d2b800d2ab003f84af65
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125148
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

1 files changed, 81 insertions, 0 deletions

diff --git a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
new file mode 100644
index 0000000000..35117c65db
--- /dev/null
+++ b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
@@ -0,0 +1,81 @@
+/*
+ * Copyright (c) 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_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__
+#define __ARM_COMPUTE_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__
+
+#include "arm_compute/core/CL/ICLKernel.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Interface for the Winograd output transform kernel. */
+class CLWinogradOutputTransformKernel : public ICLKernel
+{
+public:
+    /** Default constructor */
+    CLWinogradOutputTransformKernel();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CLWinogradOutputTransformKernel(const CLWinogradOutputTransformKernel &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CLWinogradOutputTransformKernel &operator=(const CLWinogradOutputTransformKernel &) = delete;
+    /** Allow instances of this class to be moved */
+    CLWinogradOutputTransformKernel(CLWinogradOutputTransformKernel &&) = default;
+    /** Allow instances of this class to be moved */
+    CLWinogradOutputTransformKernel &operator=(CLWinogradOutputTransformKernel &&) = default;
+    /** Default destructor */
+    ~CLWinogradOutputTransformKernel() = default;
+    /** Set the input and output tensor.
+     *
+     * @param[in]  input                 Source tensor with shape [C, N, 16, batches]. Data types supported: F32.
+     * @param[in]  bias                  Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
+     * @param[out] output                Destination tensor with shape [output_convolved_dims.width, output_convolved_dims.height, C, batches]. Data type supported: same as @p input
+     * @param[in]  kernel_dims           Kernel dimensions (Width and height). Currently only supported 3x3 kernels
+     * @param[in]  output_convolved_dims Output dimensions after the convolution (Width and height)
+     * @param[in]  num_tiles             Number of tiles of size 2x2 in the output tensor along the X and Y direction
+     */
+    void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const Size2D &kernel_dims, const Size2D &output_convolved_dims, const Size2D &num_tiles);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradOutputTransformKernel
+     *
+     * @param[in]  input                 Source tensor with shape [C, N, 16, batches]. Data types supported: F32.
+     * @param[in]  bias                  Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
+     * @param[out] output                Destination tensor with shape [output_convolved_dims.width, output_convolved_dims.height, C, batches]. Data type supported: same as @p input
+     * @param[in]  kernel_dims           Kernel dimensions (Width and height). Currently only supported 3x3 kernels
+     * @param[in]  output_convolved_dims Output dimensions after the convolution (Width and height)
+     * @param[in]  num_tiles             Number of tiles of size 2x2 in the output tensor along the X and Y direction
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const Size2D &kernel_dims, const Size2D &output_convolved_dims, const Size2D &num_tiles);
+
+    // Inherited methods overridden:
+    void run(const Window &window, cl::CommandQueue &queue) override;
+
+private:
+    const ICLTensor *_input;
+    const ICLTensor *_bias;
+    ICLTensor       *_output;
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__ */