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Diffstat (limited to 'arm_compute/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.h')
| -rw-r--r-- | arm_compute/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.h | 90 |
1 files changed, 0 insertions, 90 deletions
diff --git a/arm_compute/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.h b/arm_compute/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.h deleted file mode 100644 index 3b238bf5f4..0000000000 --- a/arm_compute/core/GLES_COMPUTE/kernels/GCWeightsReshapeKernel.h +++ /dev/null @@ -1,90 +0,0 @@ -/* - * Copyright (c) 2017-2019 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_GCWEIGHTSRESHAPEKERNEL_H -#define ARM_COMPUTE_GCWEIGHTSRESHAPEKERNEL_H - -#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h" - -namespace arm_compute -{ -/** GLES Compute kernel to perform reshaping on the weights used by convolution and locally connected layer - * - * Rearranges each 3-dimensional kernel to a single row leading to a matrix with linearized kernels. - * In combination with the @ref GCIm2ColKernel can transform a convolution to a matrix multiplication. - * - * For example assuming a 3D weight kernel of 3x3 dimensions and depth of 2 we have: - * @f[ - * \left( \begin{array}{ccc} - * a000 & a001 & a002 \\ - * a010 & a011 & a012 \\ - * a020 & a021 & a022 \\ - * \end{array} \right) - * \left( \begin{array}{ccc} - * a100 & a101 & a102 \\ - * a110 & a111 & a112 \\ - * a120 & a121 & a122 \\ - * \end{array} \right) - * \rightarrow - * \left( \begin{array}{ccccccccc} - * a000 & a001 & a002 & a010 & a011 & a012 & a020 & a021 & a022 & a100 & a101 & a102 & a110 & a111 & a112 & a120 & a121 & a122 \\ - * \end{array} \right) - * @f] - */ -class GCWeightsReshapeKernel : public IGCKernel -{ -public: - /** Constructor.*/ - GCWeightsReshapeKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - GCWeightsReshapeKernel(const GCWeightsReshapeKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - GCWeightsReshapeKernel &operator=(const GCWeightsReshapeKernel &) = delete; - /** Allow instances of this class to be moved */ - GCWeightsReshapeKernel(GCWeightsReshapeKernel &&) = default; - /** Allow instances of this class to be moved */ - GCWeightsReshapeKernel &operator=(GCWeightsReshapeKernel &&) = default; - /** Default destructor */ - ~GCWeightsReshapeKernel() = default; - - /** Set the input and output of the kernel. - * - * @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared, - * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, batches] if unshared. Data types supported: F16, F32 - * @param[in] biases The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with - * dimensions [OFM, batches] if unshared. Data types supported: Same as @p input - * @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types. - * @param[out] output The output tensor. Should be a 2D Tensor. Data types supported: Same as @p input - */ - void configure(const IGCTensor *input, const IGCTensor *biases, IGCTensor *output); - - // Inherited methods overridden: - void run(const Window &window) override; - -private: - const IGCTensor *_input; - const IGCTensor *_biases; - IGCTensor *_output; -}; -} // namespace arm_compute -#endif /*ARM_COMPUTE_GCWEIGHTSRESHAPEKERNEL_H */
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