From 5ee66eae5dff60f615dfe9427cf1c4116d95f478 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Thu, 7 Sep 2017 17:29:16 +0100 Subject: COMPMID-462: Implement TensorReshape for NEON and CL. Change-Id: I11b39c2ceca26ade73822e29a384ef866ae05729 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/87707 Reviewed-by: Pablo Tello Tested-by: Kaizen --- src/core/CL/cl_kernels/reshape_layer.cl | 70 +++++++++++++++++++++++++++++++++ 1 file changed, 70 insertions(+) create mode 100644 src/core/CL/cl_kernels/reshape_layer.cl (limited to 'src/core/CL/cl_kernels/reshape_layer.cl') diff --git a/src/core/CL/cl_kernels/reshape_layer.cl b/src/core/CL/cl_kernels/reshape_layer.cl new file mode 100644 index 0000000000..23eccbf817 --- /dev/null +++ b/src/core/CL/cl_kernels/reshape_layer.cl @@ -0,0 +1,70 @@ +/* + * Copyright (c) 2017 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: U8/S8/QS8/U16/S16/QS16/U32/S32/F16/F32 + * @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) +{ + Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); + Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output); + + int3 id = (int3)(get_global_id(0), get_global_id(1), get_global_id(2)); + + // Linearize index + int linear_idx = id.x + id.y * input_shape.x + id.z * input_shape.x * input_shape.y; + + // Translate to output + int3 out_id; + out_id.x = linear_idx % output_shape.x; + out_id.y = (linear_idx / output_shape.x) % output_shape.y; + out_id.z = linear_idx / (output_shape.x * output_shape.y); + + // Store result + *((__global DATA_TYPE *)tensor3D_offset(&out, out_id.x, out_id.y, out_id.z)) = *((__global DATA_TYPE *)in.ptr); +} -- cgit v1.2.1