George Wort | 894066d | 2019-02-15 15:12:52 +0000 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2019-2020 Arm Limited. |
George Wort | 894066d | 2019-02-15 15:12:52 +0000 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "helpers.h" |
| 25 | |
| 26 | #if defined(DATA_TYPE) // Compile time constants |
| 27 | |
| 28 | /** Performs a copy of input tensor to the output tensor. |
| 29 | * |
Michele Di Giorgio | 7d6b577 | 2020-06-01 13:39:52 +0100 | [diff] [blame] | 30 | * @param[in] in_ptr Pointer to the source tensor. Supported data types: All |
George Wort | 894066d | 2019-02-15 15:12:52 +0000 | [diff] [blame] | 31 | * @param[in] in_stride_x Stride of the source tensor in X dimension (in bytes) |
| 32 | * @param[in] in_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| 33 | * @param[in] in_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 34 | * @param[in] in_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| 35 | * @param[in] in_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 36 | * @param[in] in_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| 37 | * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source tensor |
Michele Di Giorgio | 7d6b577 | 2020-06-01 13:39:52 +0100 | [diff] [blame] | 38 | * @param[out] out_ptr Pointer to the destination tensor. Supported data types: F32 |
George Wort | 894066d | 2019-02-15 15:12:52 +0000 | [diff] [blame] | 39 | * @param[in] out_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 40 | * @param[in] out_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| 41 | * @param[in] out_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 42 | * @param[in] out_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| 43 | * @param[in] out_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 44 | * @param[in] out_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| 45 | * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 46 | * @param[in] in_offset_y The initial offset of the input address along Y. |
| 47 | * @param[in] in_offset_z The initial offset of the input address along Z. |
| 48 | */ |
| 49 | __kernel void crop_tensor( |
| 50 | TENSOR3D_DECLARATION(in), |
| 51 | TENSOR3D_DECLARATION(out), |
| 52 | int in_offset_y, |
| 53 | int in_offset_z) |
| 54 | { |
| 55 | Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(in); |
| 56 | Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out); |
| 57 | |
| 58 | const int in_x = get_global_id(0) * (in_step_x / in_stride_x); |
| 59 | |
| 60 | #if defined(WIDTH_FLIPPED) |
| 61 | const int in_y = in_offset_y - get_global_id(1); |
| 62 | #else // defined(WIDTH_FLIPPED) |
| 63 | const int in_y = in_offset_y + get_global_id(1); |
| 64 | #endif // defined(WIDTH_FLIPPED) |
| 65 | |
| 66 | #if defined(HEIGHT_FLIPPED) |
| 67 | const int in_z = in_offset_z - get_global_id(2); |
| 68 | #else // defined(HEIGHT_FLIPPED) |
| 69 | const int in_z = in_offset_z + get_global_id(2); |
| 70 | #endif // defined(HEIGHT_FLIPPED) |
| 71 | |
| 72 | #if defined(VEC_SIZE) |
| 73 | |
| 74 | #if defined(LAST_ACCESSED_X) |
| 75 | // Check if access on width gets out of bounds |
| 76 | // If it does then shift access vector to access elements within bounds |
| 77 | const int shift = max((int)(get_global_id(0) * VEC_SIZE) - (int)LAST_ACCESSED_X, 0); |
| 78 | in.ptr -= shift * in.stride_x; |
| 79 | out.ptr -= shift * out.stride_x; |
| 80 | #endif // defined(LAST_ACCESSED_X) |
| 81 | |
| 82 | __global const uchar *input_addr = tensor3D_offset(&in, in_x, in_y, in_z); |
| 83 | |
| 84 | // Load data |
| 85 | VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| 86 | data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_addr); |
| 87 | |
| 88 | // Store result |
| 89 | VSTORE(VEC_SIZE) |
| 90 | (CONVERT(data, VEC_DATA_TYPE(float, VEC_SIZE)), 0, (__global float *)out.ptr); |
| 91 | #else // defined(VEC_SIZE) |
| 92 | *((__global float *)(out.ptr)) = CONVERT(*((__global DATA_TYPE *)tensor3D_offset(&in, in_x, in_y, in_z)), float); |
| 93 | #endif // defined(VEC_SIZE) |
| 94 | } |
| 95 | |
| 96 | #endif // defined(DATA_TYPE) && defined(LAST_ACCESSED_X) |