| /* |
| * Copyright (c) 2018-2019 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_CLCONVERTFULLYCONNECTEDWEIGHTS_H |
| #define ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTS_H |
| |
| #include "arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h" |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/ICLSimpleFunction.h" |
| #include "arm_compute/runtime/ITransformWeights.h" |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Basic function to run @ref CLConvertFullyConnectedWeightsKernel. */ |
| class CLConvertFullyConnectedWeights : public ICLSimpleFunction |
| { |
| public: |
| /** Initialize the function. |
| * |
| * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32. |
| * @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input. |
| * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). |
| * @param[in] data_layout The data layout the weights have been trained in. |
| * |
| * @return A status |
| */ |
| void configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout); |
| /** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeights |
| * |
| * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32. |
| * @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input. |
| * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). |
| * @param[in] data_layout The data layout the weights have been trained in. |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout); |
| }; |
| |
| namespace weights_transformations |
| { |
| /** Basic function to run @ref CLConvertFullyConnectedWeightsKernel. */ |
| class CLConvertFullyConnectedWeightsManaged : public ITransformWeights |
| { |
| public: |
| //Inherited method override |
| void run() override |
| { |
| _output.allocator()->allocate(); |
| _func.run(); |
| _reshape_run = true; |
| } |
| |
| //Inherited method override |
| void release() override |
| { |
| _output.allocator()->free(); |
| } |
| |
| //Inherited method override |
| ICLTensor *get_weights() override |
| { |
| return &_output; |
| } |
| |
| //Inherited method override |
| uint32_t uid() override |
| { |
| return _uid; |
| } |
| /** Configures the @ref CLConvertFullyConnectedWeights function |
| * |
| * @param[in] input Source weights tensor info to convert. Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32. |
| * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). |
| * @param[in] data_layout The data layout the weights have been trained in. |
| */ |
| void configure(const ICLTensor *input, const TensorShape &original_input_shape, DataLayout data_layout) |
| { |
| _func.configure(input, &_output, original_input_shape, data_layout); |
| } |
| |
| private: |
| static constexpr uint32_t _uid = 0x5; |
| CLTensor _output{}; |
| CLConvertFullyConnectedWeights _func{}; |
| }; |
| } // namespace weights_transformations |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTS_H */ |