| /* |
| * Copyright (c) 2018 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/utils/helpers/tensor_transform.h" |
| |
| namespace arm_compute |
| { |
| namespace helpers |
| { |
| namespace tensor_transform |
| { |
| Coordinates slice_absolute_end_coords(TensorShape input_shape, Coordinates ends) |
| { |
| // Create end mask |
| int32_t end_mask = 0; |
| for(unsigned int i = 0; i < ends.num_dimensions(); ++i) |
| { |
| if(ends[i] < 0) |
| { |
| end_mask |= 1 << i; |
| } |
| } |
| // Get unit strides |
| const BiStrides unit_strides = strided_slice_strides(input_shape, BiStrides()); |
| |
| return strided_slice_absolute_end_coords(input_shape, Coordinates(), ends, unit_strides, end_mask); |
| } |
| |
| TensorShape compute_slice_output_shape(TensorShape input_shape, Coordinates starts, Coordinates ends_abs) |
| { |
| // Get unit strides |
| const BiStrides unit_strides = strided_slice_strides(input_shape, BiStrides()); |
| return compute_strided_slice_output_shape(input_shape, starts, ends_abs, unit_strides); |
| } |
| |
| Coordinates strided_slice_absolute_start_coords(TensorShape input_shape, Coordinates starts, Coordinates strides, int32_t begin_mask) |
| { |
| Coordinates starts_abs; |
| for(unsigned int i = 0; i < starts.num_dimensions(); ++i) |
| { |
| // Get start index |
| int start_i = starts[i]; |
| |
| // Reset in case of begin mask present |
| if((begin_mask & 1 << i) != 0) |
| { |
| start_i = strides[i] > 0 ? std::numeric_limits<int>::lowest() : std::numeric_limits<int>::max(); |
| } |
| |
| // Account negative start points |
| const int dim_size = input_shape[i]; |
| if(start_i < 0) |
| { |
| start_i += dim_size; |
| } |
| |
| // Final clamp |
| start_i = utility::clamp(start_i, 0, dim_size - 1); |
| starts_abs.set(i, start_i); |
| } |
| |
| // Fill remaining |
| for(unsigned int i = starts_abs.num_dimensions(); i < input_shape.num_dimensions(); ++i) |
| { |
| starts_abs.set(i, 0); |
| } |
| |
| return starts_abs; |
| } |
| |
| Coordinates strided_slice_absolute_end_coords(TensorShape input_shape, Coordinates starts_abs, Coordinates ends, Coordinates strides, |
| int32_t end_mask, int32_t shrink_axis_mask) |
| { |
| Coordinates ends_abs; |
| for(unsigned int i = 0; i < ends.num_dimensions(); ++i) |
| { |
| // Get end index |
| int stop_i = ends[i]; |
| |
| // Shrink dimension |
| if((shrink_axis_mask & (1 << i)) != 0) |
| { |
| stop_i = starts_abs[i] + 1; |
| } |
| |
| // Reset in case of begin mask present |
| if((end_mask & 1 << i) != 0) |
| { |
| stop_i = (strides[i] > 0) ? std::numeric_limits<int>::max() : std::numeric_limits<int>::lowest(); |
| } |
| |
| // Account negative end points |
| const int dim_size = input_shape[i]; |
| if(stop_i < 0) |
| { |
| stop_i += dim_size; |
| } |
| |
| // Final clamp |
| stop_i = (strides[i] > 0) ? utility::clamp(stop_i, 0, dim_size) : utility::clamp(stop_i, -1, dim_size - 1); |
| ends_abs.set(i, stop_i); |
| } |
| |
| // Fill remaining ends |
| for(unsigned int i = ends_abs.num_dimensions(); i < input_shape.num_dimensions(); ++i) |
| { |
| ends_abs.set(i, input_shape[i]); |
| } |
| |
| return ends_abs; |
| } |
| |
| Coordinates strided_slice_strides(TensorShape input_shape, Coordinates strides) |
| { |
| for(unsigned int i = strides.num_dimensions(); i < input_shape.num_dimensions(); ++i) |
| { |
| strides.set(i, 1); |
| } |
| return strides; |
| } |
| |
| TensorShape compute_strided_slice_output_shape(TensorShape input_shape, Coordinates starts_abs, Coordinates ends_abs, Coordinates final_strides) |
| { |
| TensorShape output_shape = input_shape; |
| for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i) |
| { |
| const int stride_i = final_strides[i]; |
| const int range = ends_abs[i] - starts_abs[i]; |
| if((range == 0) || // Zero range |
| (range < 0 && stride_i >= 0) || // Negative range with positive stride |
| (range > 0 && stride_i <= 0)) // Positive range with negative stride |
| { |
| output_shape.set(i, 0); |
| return output_shape; |
| } |
| else |
| { |
| int dim = range / stride_i + (range % stride_i != 0 ? 1 : 0); |
| output_shape.set(i, dim); |
| } |
| } |
| return output_shape; |
| } |
| } // namespace tensor_transform |
| } // namespace helpers |
| } // namespace arm_compute |