diff options
Diffstat (limited to 'src/runtime/gpu/cl/operators/ClConcatenate.cpp')
-rw-r--r-- | src/runtime/gpu/cl/operators/ClConcatenate.cpp | 247 |
1 files changed, 0 insertions, 247 deletions
diff --git a/src/runtime/gpu/cl/operators/ClConcatenate.cpp b/src/runtime/gpu/cl/operators/ClConcatenate.cpp deleted file mode 100644 index d3c05eae78..0000000000 --- a/src/runtime/gpu/cl/operators/ClConcatenate.cpp +++ /dev/null @@ -1,247 +0,0 @@ -/* - * Copyright (c) 2021 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 "src/runtime/gpu/cl/operators/ClConcatenate.h" - -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "arm_compute/runtime/CL/CLScheduler.h" - -#include "src/core/gpu/cl/kernels/ClBatchConcatenateKernel.h" -#include "src/core/gpu/cl/kernels/ClDepthConcatenateKernel.h" -#include "src/core/gpu/cl/kernels/ClHeightConcatenateKernel.h" -#include "src/core/gpu/cl/kernels/ClWidthConcatenate2TensorsKernel.h" -#include "src/core/gpu/cl/kernels/ClWidthConcatenate4TensorsKernel.h" -#include "src/core/gpu/cl/kernels/ClWidthConcatenateKernel.h" - -#include "arm_compute/core/Error.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "src/core/helpers/AutoConfiguration.h" - -namespace arm_compute -{ -namespace opencl -{ -void ClConcatenate::configure(const CLCompileContext &compile_context, const std::vector<ITensorInfo *> &src_vector, ITensorInfo *dst, size_t axis) -{ - ARM_COMPUTE_ERROR_ON(dst == nullptr); - _axis = axis; - _num_inputs = src_vector.size(); - - TensorShape dst_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(src_vector, _axis); - std::vector<const ITensorInfo *> const_src_vector(src_vector.size()); - std::transform(src_vector.begin(), src_vector.end(), const_src_vector.begin(), [](ITensorInfo * t) - { - ARM_COMPUTE_ERROR_ON_NULLPTR(t); - return t; - }); - - // dst auto inizialitation if not yet initialized - auto_init_if_empty(*dst, dst_shape, 1, src_vector[0]->data_type()); - ARM_COMPUTE_ERROR_THROW_ON(ClConcatenate::validate(const_src_vector, dst, axis)); - - unsigned int offset = 0; - switch(_axis) - { - case Window::DimX: - { - switch(_num_inputs) - { - case 2: - { - // Configure WidthConcatenate2Tensors kernel - auto kernel = std::make_unique<kernels::ClWidthConcatenate2TensorsKernel>(); - kernel->configure(compile_context, src_vector.at(0), src_vector.at(1), dst); - _concat_kernels.emplace_back(std::move(kernel)); - break; - } - case 4: - { - // Configure WidthConcatenate4Tensors kernel - auto kernel = std::make_unique<kernels::ClWidthConcatenate4TensorsKernel>(); - kernel->configure(compile_context, src_vector.at(0), src_vector.at(1), src_vector.at(2), src_vector.at(3), dst); - _concat_kernels.emplace_back(std::move(kernel)); - break; - } - default: - { - // Configure generic case WidthConcatenate kernels - for(unsigned int i = 0; i < _num_inputs; ++i) - { - auto kernel = std::make_unique<kernels::ClWidthConcatenateKernel>(); - kernel->configure(compile_context, src_vector.at(i), offset, dst); - offset += src_vector.at(i)->dimension(_axis); - _concat_kernels.emplace_back(std::move(kernel)); - } - break; - } - } - break; - } - case Window::DimY: - { - for(unsigned int i = 0; i < _num_inputs; ++i) - { - auto kernel = std::make_unique<kernels::ClHeightConcatenateKernel>(); - kernel->configure(compile_context, src_vector.at(i), offset, dst); - offset += src_vector.at(i)->dimension(_axis); - _concat_kernels.emplace_back(std::move(kernel)); - } - break; - } - case Window::DimZ: - { - for(unsigned int i = 0; i < _num_inputs; ++i) - { - auto kernel = std::make_unique<kernels::ClDepthConcatenateKernel>(); - kernel->configure(compile_context, src_vector.at(i), offset, dst); - offset += src_vector.at(i)->dimension(_axis); - _concat_kernels.emplace_back(std::move(kernel)); - } - break; - } - case 3: - { - for(unsigned int i = 0; i < _num_inputs; ++i) - { - auto kernel = std::make_unique<kernels::ClBatchConcatenateKernel>(); - kernel->configure(compile_context, src_vector.at(i), offset, dst); - offset += src_vector.at(i)->dimension(_axis); - _concat_kernels.emplace_back(std::move(kernel)); - } - break; - } - default: - ARM_COMPUTE_ERROR("Axis not supported"); - } -} - -Status ClConcatenate::validate(const std::vector<const ITensorInfo *> &src_vector, const ITensorInfo *dst, size_t axis) -{ - ARM_COMPUTE_RETURN_ERROR_ON(dst == nullptr); - const unsigned int num_inputs = src_vector.size(); - - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(dst); - ARM_COMPUTE_RETURN_ERROR_ON(num_inputs < 2); - - unsigned int offset = 0; - switch(axis) - { - case Window::DimX: - { - switch(num_inputs) - { - case 2: - // Validate WidthConcatenate2Tensors kernels if there are 2 inputs - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src_vector[0], src_vector[1]); - ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClWidthConcatenate2TensorsKernel::validate(src_vector[0], src_vector[1], dst)); - break; - case 4: - // Validate WidthConcatenate4Tensors kernels if there are 4 inputs - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src_vector[0], src_vector[1], src_vector[2], src_vector[3]); - ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClWidthConcatenate4TensorsKernel::validate(src_vector[0], src_vector[1], src_vector[2], src_vector[3], dst)); - break; - default: - // Validate generic case of WidthConcatenate kernel - for(const auto &src : src_vector) - { - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src); - ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClWidthConcatenateKernel::validate(src, offset, dst)); - offset += src->dimension(axis); - } - break; - } - break; - } - case Window::DimY: - { - for(const auto &src : src_vector) - { - ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClHeightConcatenateKernel::validate(src, offset, dst)); - offset += src->dimension(axis); - } - break; - } - case Window::DimZ: - { - for(const auto &src : src_vector) - { - ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClDepthConcatenateKernel::validate(src, offset, dst)); - offset += src->dimension(axis); - } - break; - } - case 3: - { - for(const auto &src : src_vector) - { - ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClBatchConcatenateKernel::validate(src, offset, dst)); - offset += src->dimension(axis); - } - break; - } - default: - ARM_COMPUTE_ERROR("Axis not supported"); - } - - if(dst->total_size() != 0) - { - TensorShape dst_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(src_vector, axis); - ARM_COMPUTE_RETURN_ERROR_ON(dst_shape.total_size() != dst->tensor_shape().total_size()); - } - - return Status{}; -} - -void ClConcatenate::run(ITensorPack &tensors) -{ - if(tensors.empty()) - { - ARM_COMPUTE_ERROR("No inputs provided"); - } - - if(static_cast<int>(tensors.size()) - 1 != static_cast<int>(_num_inputs)) - { - ARM_COMPUTE_ERROR("Configured with different number of inputs"); - } - - if(_axis == Window::DimX && (_num_inputs == 2 || _num_inputs == 4)) - { - ARM_COMPUTE_ERROR_ON(_concat_kernels.empty()); - CLScheduler::get().enqueue_op(*_concat_kernels.at(0), tensors, true); - } - else - { - int i = 0; - for(auto &k : _concat_kernels) - { - ITensorPack pack; - pack.add_tensor(TensorType::ACL_SRC, tensors.get_const_tensor(ACL_SRC_VEC + i)); - pack.add_tensor(TensorType::ACL_DST, tensors.get_tensor(ACL_DST)); - CLScheduler::get().enqueue_op(*k, pack, true); - ++i; - } - } -} -} // namespace opencl -} // namespace arm_compute |