| /* |
| * Copyright (c) 2018-2020 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/CLUnstack.h" |
| |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| inline unsigned int wrap_axis(int axis, const ITensorInfo *const tensor) |
| { |
| return wrap_around(axis, static_cast<int>(tensor->num_dimensions())); |
| } |
| |
| inline void setup_slice_coordinates_and_mask(Coordinates &slice_start, int32_t &slice_end_mask, const unsigned int input_num_dimensions) |
| { |
| // Setups up coordinates to slice the input tensor: start coordinates to all 0s and the unstacking axis of both Start/End to slice just one 2d tensor at a time. |
| Coordinates slice_end; |
| slice_start.set_num_dimensions(input_num_dimensions); |
| slice_end.set_num_dimensions(input_num_dimensions); |
| for(size_t k = 0; k < input_num_dimensions; ++k) |
| { |
| slice_start.set(k, 0); |
| slice_end.set(k, -1); |
| } |
| slice_end_mask = arm_compute::helpers::tensor_transform::construct_slice_end_mask(slice_end); |
| } |
| } // namespace |
| |
| CLUnstack::CLUnstack() // NOLINT |
| : _num_slices(0), |
| _strided_slice_vector() |
| { |
| } |
| |
| void CLUnstack::configure(const ICLTensor *input, const std::vector<ICLTensor *> &output_vector, int axis) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, output_vector, axis); |
| } |
| |
| void CLUnstack::configure(const CLCompileContext &compile_context, const ICLTensor *input, const std::vector<ICLTensor *> &output_vector, int axis) |
| { |
| std::vector<ITensorInfo *> outputs_vector_info(output_vector.size()); |
| std::transform(output_vector.begin(), output_vector.end(), outputs_vector_info.begin(), [](ICLTensor * t) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(t); |
| return t->info(); |
| }); |
| |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input); |
| ARM_COMPUTE_ERROR_THROW_ON(CLUnstack::validate(input->info(), outputs_vector_info, axis)); |
| |
| // Wrap around negative values |
| const unsigned int axis_u = wrap_axis(axis, input->info()); |
| _num_slices = std::min(outputs_vector_info.size(), input->info()->dimension(axis_u)); |
| _strided_slice_vector.resize(_num_slices); |
| |
| Coordinates slice_start; |
| int32_t slice_end_mask; |
| setup_slice_coordinates_and_mask(slice_start, slice_end_mask, input->info()->tensor_shape().num_dimensions()); |
| for(unsigned int slice = 0; slice < _num_slices; ++slice) |
| { |
| // Adjusts start and end coordinates to take a 2D slice at a time |
| slice_start.set(axis_u, slice); |
| _strided_slice_vector[slice].configure(compile_context, input, output_vector[slice], slice_start, Coordinates(), BiStrides(), 0, slice_end_mask, (1 << axis_u)); |
| } |
| } |
| |
| Status CLUnstack::validate(const ITensorInfo *input, const std::vector<ITensorInfo *> &output_vector, int axis) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); |
| ARM_COMPUTE_RETURN_ERROR_ON(output_vector.empty()); |
| ARM_COMPUTE_RETURN_ERROR_ON(axis < (-static_cast<int>(input->tensor_shape().num_dimensions()))); |
| ARM_COMPUTE_RETURN_ERROR_ON(axis >= static_cast<int>(input->tensor_shape().num_dimensions())); |
| const unsigned int num_slices = std::min(output_vector.size(), input->dimension(wrap_axis(axis, input))); |
| ARM_COMPUTE_RETURN_ERROR_ON(num_slices > input->dimension(wrap_axis(axis, input))); |
| ARM_COMPUTE_RETURN_ERROR_ON(num_slices > output_vector.size()); |
| Coordinates slice_start; |
| int32_t slice_end_mask; |
| for(size_t k = 0; k < num_slices; ++k) |
| { |
| slice_start.set(wrap_axis(axis, input), k); |
| setup_slice_coordinates_and_mask(slice_start, slice_end_mask, input->tensor_shape().num_dimensions()); |
| ARM_COMPUTE_RETURN_ON_ERROR(CLStridedSlice::validate(input, output_vector[k], slice_start, Coordinates(), BiStrides(), 0, slice_end_mask, (1 << wrap_axis(axis, input)))); |
| } |
| return Status{}; |
| } |
| |
| void CLUnstack::run() |
| { |
| for(unsigned i = 0; i < _num_slices; ++i) |
| { |
| _strided_slice_vector[i].run(); |
| } |
| } |
| |
| } // namespace arm_compute |