| /* |
| * 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. |
| */ |
| #ifndef __ARM_COMPUTE_UTILS_HELPERS_TENSOR_TRANSFORM_H__ |
| #define __ARM_COMPUTE_UTILS_HELPERS_TENSOR_TRANSFORM_H__ |
| |
| #include "arm_compute/core/Types.h" |
| |
| namespace arm_compute |
| { |
| namespace helpers |
| { |
| namespace tensor_transform |
| { |
| /** Computes stride of a given index |
| * |
| * @param[in] index Index of tensor to calculate absolute start position |
| * @param[in] strides Slice strides |
| * |
| * @return Stride at a given index |
| */ |
| int calculate_stride_on_index(int index, Coordinates strides); |
| |
| /** Computes absolute start position of a given index for a strided slice operation |
| * |
| * @param[in] input_shape Input tensor shape |
| * @param[in] index Index of tensor to calculate absolute start position |
| * @param[in] starts Start coordinates |
| * @param[in] strides Slice strides |
| * @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and |
| * the fullest possible range in that dimension is used instead. |
| * |
| * @return Absolute start position of a given index |
| */ |
| int calculate_start_on_index(TensorShape input_shape, int index, Coordinates starts, Coordinates strides, int32_t begin_mask); |
| |
| /** Returns the absolute end position of a given index for a strided slice operation |
| * |
| * @param[in] input_shape Input tensor shape |
| * @param[in] index Index of tensor to calculate absolute start position |
| * @param[in] start_on_index Absolute start coordinate for given index |
| * @param[in] ends End coordinates |
| * @param[in] strides Slice strides |
| * @param[in] end_mask (Optional) If the ith bit of end_mask is set, end[i] is ignored and |
| * the fullest possible range in that dimension is used instead. |
| * @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1. |
| * A slice of size 1 starting from starts[i] in the dimension must be preserved. |
| * |
| * @return Absolute end position of a given index |
| */ |
| int calculate_end_on_index(TensorShape input_shape, int index, int start_on_index, Coordinates ends, Coordinates strides, |
| int32_t end_mask = 0, int32_t shrink_axis_mask = 0); |
| |
| /** Calculate start, end and stride coordinates for a strided slice |
| * |
| * @param[in] input_shape Input tensor shape |
| * @param[in] starts Start coordinates |
| * @param[in] ends End coordinates |
| * @param[in] strides Slice strides |
| * @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and |
| * the fullest possible range in that dimension is used instead. |
| * @param[in] end_mask (Optional) If the ith bit of end_mask is set, end[i] is ignored and |
| * the fullest possible range in that dimension is used instead. |
| * @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1. |
| * A slice of size 1 starting from starts[i] in the dimension must be preserved. |
| * |
| * @return A tuple with <Start,End,Strides> |
| */ |
| std::tuple<Coordinates, Coordinates, Coordinates> calculate_strided_slice_coords(TensorShape input_shape, |
| Coordinates starts, Coordinates ends, Coordinates strides, |
| int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0); |
| |
| /** Computes output shape of strided slice |
| * |
| * @warning Starts and ends must be non-negative |
| * @warning Starts, ends and final strides should have the same dimensions as the input shape |
| * |
| * @param[in] input_shape Input tensor shape |
| * @param[in] starts Absolute start coordinates |
| * @param[in] ends Absolute end coordinates |
| * @param[in] strides Slice strides |
| * @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and |
| * the fullest possible range in that dimension is used instead. |
| * @param[in] end_mask (Optional) If the ith bit of end_mask is set, end[i] is ignored and |
| * the fullest possible range in that dimension is used instead. |
| * @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1. |
| * A slice of size 1 starting from starts[i] in the dimension must be preserved. |
| * @param[in] return_unshrinked (Optional) Returns un-shrinked shape |
| * |
| * @return The output tensor shape |
| */ |
| TensorShape compute_strided_slice_output_shape(TensorShape input_shape, Coordinates starts, Coordinates ends, Coordinates strides, |
| int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0, |
| bool return_unshrinked = false); |
| |
| /** Constructs end mask in case we want to perform a slice operation using the strided slice interface |
| * |
| * @note Ends are inclusive in slice operations that is why construction an end mask is needed |
| * |
| * @param[in] ends End coordinates |
| * |
| * @return End mask |
| */ |
| int32_t construct_slice_end_mask(Coordinates ends); |
| } // namespace tensor_tranform |
| } // namespace helpers |
| } // namespace arm_compute |
| #endif /* __ARM_COMPUTE_UTILS_HELPERS_TENSOR_TRANSFORM_H__ */ |