| /* |
| * Copyright (c) 2018-2021 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/cpu/operators/CpuConcatenate.h" |
| |
| #include "src/core/cpu/kernels/CpuConcatenateBatchKernel.h" |
| #include "src/core/cpu/kernels/CpuConcatenateDepthKernel.h" |
| #include "src/core/cpu/kernels/CpuConcatenateHeightKernel.h" |
| #include "src/core/cpu/kernels/CpuConcatenateWidthKernel.h" |
| |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/runtime/NEON/NEScheduler.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Validate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| |
| namespace arm_compute |
| { |
| namespace cpu |
| { |
| CpuConcatenate::CpuConcatenate() |
| : _concat_kernels(), _num_srcs(0), _axis(0) |
| { |
| } |
| |
| void CpuConcatenate::configure(const std::vector<const ITensorInfo *> &srcs_vector, ITensorInfo *dst, size_t axis) |
| { |
| ARM_COMPUTE_ERROR_ON(dst == nullptr); |
| |
| _axis = axis; |
| _num_srcs = srcs_vector.size(); |
| |
| TensorShape dst_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(srcs_vector, axis); |
| |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*dst, dst_shape, 1, srcs_vector[0]->data_type()); |
| ARM_COMPUTE_ERROR_THROW_ON(CpuConcatenate::validate(srcs_vector, dst, axis)); |
| |
| unsigned int offset = 0; |
| |
| for(unsigned int i = 0; i < _num_srcs; ++i) |
| { |
| switch(axis) |
| { |
| case Window::DimX: |
| { |
| auto kernel = std::make_unique<kernels::CpuConcatenateWidthKernel>(); |
| kernel->configure(srcs_vector.at(i), offset, dst); |
| _concat_kernels.emplace_back(std::move(kernel)); |
| break; |
| } |
| case Window::DimY: |
| { |
| auto kernel = std::make_unique<kernels::CpuConcatenateHeightKernel>(); |
| kernel->configure(srcs_vector.at(i), offset, dst); |
| _concat_kernels.emplace_back(std::move(kernel)); |
| break; |
| } |
| case Window::DimZ: |
| { |
| auto kernel = std::make_unique<kernels::CpuConcatenateDepthKernel>(); |
| kernel->configure(srcs_vector.at(i), offset, dst); |
| _concat_kernels.emplace_back(std::move(kernel)); |
| break; |
| } |
| case 3: |
| { |
| auto kernel = std::make_unique<kernels::CpuConcatenateBatchKernel>(); |
| kernel->configure(srcs_vector.at(i), offset, dst); |
| _concat_kernels.emplace_back(std::move(kernel)); |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Axis not supported"); |
| } |
| offset += srcs_vector.at(i)->dimension(axis); |
| } |
| } |
| |
| Status CpuConcatenate::validate(const std::vector<const ITensorInfo *> &srcs_vector, const ITensorInfo *dst, size_t axis) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(dst); |
| ARM_COMPUTE_RETURN_ERROR_ON(srcs_vector.size() < 2); |
| |
| unsigned int offset = 0; |
| for(const auto &src : srcs_vector) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src); |
| switch(axis) |
| { |
| case Window::DimX: |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuConcatenateWidthKernel::validate(src, offset, dst)); |
| break; |
| } |
| case Window::DimY: |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuConcatenateHeightKernel::validate(src, offset, dst)); |
| break; |
| } |
| case Window::DimZ: |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuConcatenateDepthKernel::validate(src, offset, dst)); |
| break; |
| } |
| case 3: |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuConcatenateBatchKernel::validate(src, offset, dst)); |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Axis not supported"); |
| } |
| offset += src->dimension(axis); |
| } |
| |
| if(dst->total_size() != 0) |
| { |
| TensorShape dst_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(srcs_vector, axis); |
| ARM_COMPUTE_RETURN_ERROR_ON(dst_shape.total_size() != dst->tensor_shape().total_size()); |
| } |
| |
| return Status{}; |
| } |
| |
| void CpuConcatenate::run(ITensorPack &tensors) |
| { |
| if(tensors.empty()) |
| { |
| ARM_COMPUTE_ERROR("No inputs provided"); |
| } |
| |
| if(static_cast<int>(tensors.size() - 1) != static_cast<int>(_num_srcs)) |
| { |
| ARM_COMPUTE_ERROR("Configured with different number of inputs"); |
| } |
| |
| 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)); |
| NEScheduler::get().schedule_op(k.get(), Window::DimY, k->window(), pack); |
| ++i; |
| } |
| } |
| } // namespace cpu |
| } // namespace arm_compute |