APPBROWSER-377: GCConvoutionLayer support for FP16

Change-Id: I801b5e393a16a9f92c062826e6fcfd5982ca7bb3
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/116584
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 138 insertions, 0 deletions

diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h
new file mode 100644
index 0000000000..e3fa98e6e7
--- /dev/null
+++ b/arm_compute/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.h
@@ -0,0 +1,138 @@
+/*
+ * 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_GCCONVOLUTIONLAYER_H__
+#define __ARM_COMPUTE_GCCONVOLUTIONLAYER_H__
+
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCCol2ImKernel.h"
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCFillBorderKernel.h"
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMInterleave4x4Kernel.h"
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.h"
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMTranspose1xWKernel.h"
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h"
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h"
+#include "arm_compute/runtime/IFunction.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+class IGCTensor;
+
+/** Function to reshape and transpose the weights. This function calls the following kernels:
+ * -# @ref GCWeightsReshapeKernel
+ * -# @ref GCGEMMTranspose1xWKernel
+ */
+class GCConvolutionLayerReshapeWeights : public IFunction
+{
+public:
+    /** Constructor */
+    GCConvolutionLayerReshapeWeights();
+    /** Set the input and output tensors.
+     *
+     * @param[in]  weights      Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
+     *                          Data type supported: F16/F32.
+     * @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. Data types supported: Same as @p weights.
+     * @param[in]  transpose1xW True if the weights are to undergo a 1xW transposition after reshaping (in case of GEMM operation), false otherwise.
+     *                          Data types supported: Same as @p weights.
+     */
+    void configure(const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, bool transpose1xW);
+    // Inherited methods overridden:
+    void run() override;
+
+private:
+    GCWeightsReshapeKernel   _weights_reshape_kernel;
+    GCGEMMTranspose1xWKernel _weights_transposed_kernel;
+    GCTensor                 _weights_reshaped;
+    bool                     _transpose1xW;
+};
+
+/** Basic function to compute the convolution layer. This function calls the following GLES kernels:
+ *
+ * -# @ref GCWeightsReshapeKernel (executed only once for each configuration)
+ * -# @ref GCGEMMTranspose1xWKernel (executed only once for each configuration)
+ * -# @ref GCIm2ColKernel
+ * -# @ref GCGEMMInterleave4x4Kernel
+ * -# @ref GCCol2ImKernel
+ */
+class GCConvolutionLayer : public IFunction
+{
+public:
+    /** Default constructor */
+    GCConvolutionLayer();
+
+    /** 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: F16/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.
+     * @param[in]  biases       Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
+     *                          Data type supported: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type.
+     * @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.
+     * @param[in]  weights_info Specifies if the weights tensor has been reshaped with GCWeightsReshapeKernel. If this is not part of the fully connected layer the weights
+     *                          tensor has also been transposed with GCGEMMTranspose1xWKernel. Data type supported: Same as @p input.
+     */
+    void configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo());
+
+    // Inherited methods overridden:
+    void run() override;
+
+private:
+    /** Configures the appropriate matrix multiply routine
+     *
+     * @param input                     Input tensor. Data types supported: F16/F32.
+     * @param weights                   Weights tensor. Data type supported: Same as @p input.
+     * @param output                    Output tensor. Data types supported: Same as @p input,
+     * @param is_interleaved_transposed Flag that signals if matrix is interleaved transposed
+     */
+    void configure_mm(const IGCTensor *input, const IGCTensor *weights, IGCTensor *output, bool is_interleaved_transposed = true);
+
+private:
+    GCConvolutionLayerReshapeWeights _reshape_weights;
+    GCIm2ColKernel                   _input_im2col_kernel;
+    GCGEMMInterleave4x4Kernel        _input_interleave_kernel;
+    GCGEMMMatrixMultiplyKernel       _mm_kernel;
+    GCCol2ImKernel                   _output_col2im_kernel;
+    GCFillBorderKernel               _fill_border;
+
+    GCTensor _input_im2col_reshaped;
+    GCTensor _input_interleaved_reshaped;
+    GCTensor _weights_reshaped;
+    GCTensor _weights_transposed;
+    GCTensor _gemm_output;
+    GCTensor _tmp_output;
+
+    bool _append_bias;
+    bool _is_fully_connected_convolution;
+    bool _are_weights_reshaped;
+};
+}
+
+#endif /* __ARM_COMPUTE_GCCONVOLUTIONLAYER_H__ */