COMPMID-1074: Rename WinograLayer.cpp to WinogradConvolutionLayer.cpp

Change-Id: Iccac7cd6cb458469568d0cd6fb36b262353f4188
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129261
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>

1 files changed, 122 insertions, 0 deletions

diff --git a/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h
new file mode 100644
index 0000000000..037c74c1a8
--- /dev/null
+++ b/arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h
@@ -0,0 +1,122 @@
+/*
+ * 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_NEWINOGRADCONVOLUTIONLAYER_H__
+#define __ARM_COMPUTE_NEWINOGRADCONVOLUTIONLAYER_H__
+
+#include "arm_compute/runtime/IFunction.h"
+
+#include "arm_compute/core/NEON/INEKernel.h"
+#include "arm_compute/core/NEON/kernels/assembly/arm_gemm.hpp"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CPP/functions/CPPPermute.h"
+#include "arm_compute/runtime/MemoryGroup.h"
+#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+class ITensor;
+/** Basic function to simulate a convolution layer. This function calls the following NEON kernels:
+ * -# @ref NEWinogradLayerTransformWeightsKernel (executed only once in the first call to the run() method )
+ * -# @ref NEWinogradLayerTransformInputKernel
+ * -# @ref NEWinogradLayerTransformOutputKernel
+ * -# @ref NEWinogradLayerBatchedGEMMKernel
+ * -# @ref CPPPermute (three times: weights, input and output)
+ */
+class NEWinogradConvolutionLayer : public IFunction
+{
+public:
+    /** Constructor */
+    NEWinogradConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+
+    /** Set the input and output tensors.
+     *
+     * @param[in]  input     Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
+     *                       while every optional dimension from 4 and above represent a batch of inputs.
+     *                       Data types supported: F32.
+     * @param[in]  weights   Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input.
+     *                       Currently only 3x3 and 5x5 kernels are supported.
+     * @param[in]  biases    Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights.
+     * @param[out] output    Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
+     *                       Data types supported: Same as @p input.
+     * @param[in]  conv_info Contains padding and stride information described in @ref PadStrideInfo. Currently only unit strides are supported.
+     * @param[in]  act_info  (Optional) Activation layer information in case of a fused activation.
+     */
+    void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+
+    // Inherited methods overridden:
+    void run() override;
+
+    /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMConvolutionLayer
+     *
+     * @param[in] input     Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
+     *                      while every optional dimension from 4 and above represent a batch of inputs.
+     *                      Data types supported: F32.
+     * @param[in] weights   Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input.
+     *                      Currently only 3x3 and 5x5 kernels are supported.
+     * @param[in] biases    Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights.
+     * @param[in] output    Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
+     *                      Data types supported: Same as @p input.
+     * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. Currently only unit strides are supported.
+     * @param[in] act_info  (Optional) Activation layer information in case of a fused activation.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
+                           const ActivationLayerInfo &act_info = ActivationLayerInfo());
+
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEWinogradConvolutionLayer(const NEWinogradConvolutionLayer &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEWinogradConvolutionLayer &operator=(const NEWinogradConvolutionLayer &) = delete;
+
+private:
+    MemoryGroup _memory_group;
+    std::unique_ptr<arm_gemm::GemmCommon<float, float>> _arm_gemm;
+    std::unique_ptr<INEKernel> _gemm_kernel;
+    std::unique_ptr<INEKernel> _transform_input_kernel;
+    std::unique_ptr<INEKernel> _transform_output_kernel;
+    std::unique_ptr<INEKernel> _transform_weights_kernel;
+    NEActivationLayer          _activationlayer_function;
+
+    CPPPermute     _permute_input;
+    CPPPermute     _permute_weights;
+    CPPPermute     _permute_output;
+    Tensor         _input_workspace;
+    Tensor         _output_workspace;
+    Tensor         _kernel_storage;
+    Tensor         _input_nhwc;
+    Tensor         _output_nhwc;
+    Tensor         _weights_hwio;
+    Tensor         _workspace;
+    const ITensor *_input;
+    const ITensor *_weights;
+    ITensor       *_output;
+    bool           _reshaped_kernel;
+    bool           _is_activationlayer_enabled;
+};
+}
+#endif /* __ARM_COMPUTE_NEWINOGRADCONVOLUTIONLAYER_H__ */