/* * Copyright (c) 2017-2022 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 "helpers.h" /** Perform tensor reshape * * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short * * @param[in] input_ptr Pointer to the first source tensor. Supported data types: All * @param[in] input_stride_x Stride of the first source tensor in X dimension (in bytes) * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] input_stride_y Stride of the first source tensor in Y dimension (in bytes) * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] input_stride_z Stride of the first source tensor in Z dimension (in bytes) * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] output_stride_z Stride of the destination tensor in Z dimension (in bytes) * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor * @param[in] input_shape Input spatial shape * @param[in] output_shape Output spatial shape */ __kernel void reshape_layer(TENSOR3D_DECLARATION(input), TENSOR3D_DECLARATION(output), int2 input_shape, int2 output_shape) { int out_x = get_global_id(0); int out_y = get_global_id(1); int out_z = get_global_id(2); // Compute the output linearized index int out_linear_idx = out_x + out_y * output_shape.x + out_z * output_shape.x * output_shape.y; // Translate to intput int in_x = out_linear_idx % input_shape.x; int in_y = (out_linear_idx / input_shape.x) % input_shape.y; int in_z = out_linear_idx / (input_shape.x * input_shape.y); // Store result input_ptr += input_offset_first_element_in_bytes + in_x * input_stride_x + in_y * input_stride_y + in_z * input_stride_z; output_ptr += output_offset_first_element_in_bytes + out_x * output_stride_x + out_y * output_stride_y + out_z * output_stride_z; *((__global DATA_TYPE *)output_ptr) = *((__global DATA_TYPE *)input_ptr); }