diff options
Diffstat (limited to 'src/runtime/CL/functions/CLWidthConcatenateLayer.cpp')
-rw-r--r-- | src/runtime/CL/functions/CLWidthConcatenateLayer.cpp | 143 |
1 files changed, 0 insertions, 143 deletions
diff --git a/src/runtime/CL/functions/CLWidthConcatenateLayer.cpp b/src/runtime/CL/functions/CLWidthConcatenateLayer.cpp deleted file mode 100644 index a8667c3138..0000000000 --- a/src/runtime/CL/functions/CLWidthConcatenateLayer.cpp +++ /dev/null @@ -1,143 +0,0 @@ -/* - * 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. - */ -#include "arm_compute/runtime/CL/functions/CLWidthConcatenateLayer.h" - -#include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "arm_compute/runtime/CL/CLScheduler.h" -#include "support/ToolchainSupport.h" - -using namespace arm_compute; - -CLWidthConcatenateLayer::CLWidthConcatenateLayer() // NOLINT - : _concat_kernels_vector(), - _concat_x2_kernel(), - _concat_x4_kernel(), - _num_inputs(0) -{ -} - -Status CLWidthConcatenateLayer::validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output) // NOLINT -{ - const unsigned int num_inputs = inputs_vector.size(); - - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); - ARM_COMPUTE_RETURN_ERROR_ON(num_inputs < 2); - - // Output auto inizialitation if not yet initialized - TensorInfo tmp_output_info = *output->clone(); - const TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(inputs_vector, Window::DimX); - auto_init_if_empty(tmp_output_info, output_shape, 1, inputs_vector[0]->data_type()); - - switch(num_inputs) - { - case 2: - // Validate WidthConcatenate2Tensors kernels if there are 2 inputs - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(inputs_vector[0], inputs_vector[1]); - ARM_COMPUTE_RETURN_ON_ERROR(CLWidthConcatenate2TensorsKernel::validate(inputs_vector[0], inputs_vector[1], &tmp_output_info)); - break; - case 4: - // Validate WidthConcatenate4Tensors kernels if there are 4 inputs - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(inputs_vector[0], inputs_vector[1], inputs_vector[2], inputs_vector[3]); - ARM_COMPUTE_RETURN_ON_ERROR(CLWidthConcatenate4TensorsKernel::validate(inputs_vector[0], inputs_vector[1], inputs_vector[2], inputs_vector[3], &tmp_output_info)); - break; - default: - unsigned int width_offset = 0; - // Validate generic case of WidthConcatenate kernel - for(const auto &input : inputs_vector) - { - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); - ARM_COMPUTE_RETURN_ON_ERROR(CLWidthConcatenateLayerKernel::validate(input, width_offset, &tmp_output_info)); - width_offset += input->dimension(0); - } - break; - } - - return Status{}; -} - -void CLWidthConcatenateLayer::configure(std::vector<ICLTensor *> inputs_vector, ICLTensor *output) // NOLINT -{ - _num_inputs = inputs_vector.size(); - - std::vector<ITensorInfo *> inputs_vector_info; - for(unsigned int i = 0; i < _num_inputs; i++) - { - inputs_vector_info.emplace_back(inputs_vector.at(i)->info()); - } - const TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(inputs_vector, Window::DimX); - - // Output auto inizialitation if not yet initialized - auto_init_if_empty(*output->info(), output_shape, 1, inputs_vector[0]->info()->data_type()); - - ARM_COMPUTE_ERROR_THROW_ON(CLWidthConcatenateLayer::validate(inputs_vector_info, output->info())); - - switch(_num_inputs) - { - case 2: - // Configure WidthConcatenate2Tensors kernel - _concat_x2_kernel.configure(inputs_vector.at(0), inputs_vector.at(1), output); - break; - case 4: - // Configure WidthConcatenate4Tensors kernel - _concat_x4_kernel.configure(inputs_vector.at(0), inputs_vector.at(1), inputs_vector.at(2), inputs_vector.at(3), output); - break; - default: - // Configure generic case WidthConcatenate kernels - _concat_kernels_vector.resize(_num_inputs); - - unsigned int width_offset = 0; - for(unsigned int i = 0; i < _num_inputs; ++i) - { - _concat_kernels_vector[i].configure(inputs_vector.at(i), width_offset, output); - width_offset += inputs_vector.at(i)->info()->dimension(0); - } - break; - } -} - -void CLWidthConcatenateLayer::run() -{ - cl::CommandQueue q = CLScheduler::get().queue(); - - switch(_num_inputs) - { - case 2: - CLScheduler::get().enqueue(_concat_x2_kernel, true); - break; - case 4: - CLScheduler::get().enqueue(_concat_x4_kernel, true); - break; - default: - for(unsigned int i = 0; i < _num_inputs; ++i) - { - CLScheduler::get().enqueue(_concat_kernels_vector[i], true); - } - break; - } -} |