| /* |
| * 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/core/NEON/kernels/NEStridedSliceKernel.h" |
| |
| #include "arm_compute/core/CPP/Validate.h" |
| #include "arm_compute/core/IAccessWindow.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Window.h" |
| |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/utils/helpers/bit_ops.h" |
| #include "arm_compute/core/utils/helpers/tensor_transform.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, |
| const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, |
| int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().num_dimensions() > 4); |
| ARM_COMPUTE_RETURN_ERROR_ON(starts.num_dimensions() > input->num_dimensions()); |
| ARM_COMPUTE_RETURN_ERROR_ON(ends.num_dimensions() > input->num_dimensions()); |
| ARM_COMPUTE_RETURN_ERROR_ON(strides.num_dimensions() > input->num_dimensions()); |
| ARM_COMPUTE_RETURN_ERROR_ON(std::any_of(strides.cbegin(), strides.cbegin() + strides.num_dimensions(), [](int i) |
| { |
| return i == 0; |
| })); |
| |
| // Get expected output shape |
| const TensorShape exp_output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input, |
| starts, ends, strides, |
| begin_mask, end_mask, shrink_axis_mask); |
| ARM_COMPUTE_RETURN_ERROR_ON(exp_output_shape.total_size() == 0); |
| |
| // Checks output if configured |
| if(output->total_size() != 0) |
| { |
| const TensorInfo exp_output_info = output->clone()->set_tensor_shape(exp_output_shape); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &exp_output_info); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| } |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, |
| const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, |
| int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask) |
| { |
| // Output tensor auto initialization if not yet initialized |
| const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input, |
| starts, ends, strides, |
| begin_mask, end_mask, shrink_axis_mask); |
| auto_init_if_empty(*output, input->clone()->set_tensor_shape(output_shape)); |
| |
| // Create window |
| Window win = calculate_max_window(*output, Steps()); |
| output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape())); |
| |
| return std::make_pair(Status{}, win); |
| } |
| |
| void strided_slice_generic(const ITensor *input, ITensor *output, |
| const Coordinates &starts, const BiStrides &strides, int32_t shrink_axis_mask, |
| const Window &window) |
| { |
| Iterator output_it(output, window); |
| const size_t width_size = input->info()->element_size(); |
| |
| const bool is_shrink_w = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 0); |
| const bool is_shrink_h = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 1); |
| const bool is_shrink_c = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 2); |
| const bool is_shrink_n = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 3); |
| |
| unsigned int index = 0; |
| const int idx_w = is_shrink_w ? 0 : index++; |
| const int idx_h = is_shrink_h ? 0 : index++; |
| const int idx_c = is_shrink_c ? 0 : index++; |
| const int idx_n = is_shrink_n ? 0 : index; |
| |
| BiStrides shrinked_strides; |
| shrinked_strides.set(0, is_shrink_w ? 0 : strides[0]); |
| shrinked_strides.set(1, is_shrink_h ? 0 : strides[1]); |
| shrinked_strides.set(2, is_shrink_c ? 0 : strides[2]); |
| shrinked_strides.set(3, is_shrink_n ? 0 : strides[3]); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| const int w_coord = starts[0] + (id[idx_w] * shrinked_strides[0]); |
| const int h_coord = starts[1] + (id[idx_h] * shrinked_strides[1]); |
| const int c_coord = starts[2] + (id[idx_c] * shrinked_strides[2]); |
| const int n_coord = starts[3] + (id[idx_n] * shrinked_strides[3]); |
| |
| Coordinates in_coords(w_coord, h_coord, c_coord, n_coord); |
| std::copy_n(input->ptr_to_element(in_coords), width_size, output_it.ptr()); |
| }, |
| output_it); |
| } |
| } // namespace |
| |
| NEStridedSliceKernel::NEStridedSliceKernel() |
| : _input(nullptr), _output(nullptr), _starts_abs(), _final_strides(), _shrink_mask() |
| { |
| } |
| |
| void NEStridedSliceKernel::configure(const ITensor *input, ITensor *output, |
| const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, |
| int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), starts, ends, strides, begin_mask, end_mask, shrink_axis_mask)); |
| |
| _input = input; |
| _output = output; |
| _shrink_mask = shrink_axis_mask; |
| |
| const TensorShape &input_shape = input->info()->tensor_shape(); |
| |
| Coordinates ends_abs; |
| std::tie(_starts_abs, ends_abs, _final_strides) = arm_compute::helpers::tensor_transform::calculate_strided_slice_coords( |
| input_shape, |
| starts, ends, strides, |
| begin_mask, end_mask, shrink_axis_mask); |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(input->info(), output->info(), starts, ends, strides, begin_mask, end_mask, shrink_axis_mask); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| INEKernel::configure(win_config.second); |
| } |
| |
| Status NEStridedSliceKernel::validate(const ITensorInfo *input, const ITensorInfo *output, |
| const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, |
| int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), |
| starts, ends, strides, begin_mask, end_mask, shrink_axis_mask) |
| .first); |
| |
| return Status{}; |
| } |
| |
| void NEStridedSliceKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| |
| // Dispatch kernel |
| strided_slice_generic(_input, _output, _starts_abs, _final_strides, _shrink_mask, window); |
| } |
| } // namespace arm_compute |