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Diffstat (limited to 'src/core/CL/cl_kernels/space_to_batch.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/space_to_batch.cl | 280 |
1 files changed, 0 insertions, 280 deletions
diff --git a/src/core/CL/cl_kernels/space_to_batch.cl b/src/core/CL/cl_kernels/space_to_batch.cl deleted file mode 100644 index cb11786ac4..0000000000 --- a/src/core/CL/cl_kernels/space_to_batch.cl +++ /dev/null @@ -1,280 +0,0 @@ -/* - * Copyright (c) 2018-2020 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" - -#if defined(BATCH_SIZE) && defined(DATA_TYPE) && defined(WIDTH_IN) && defined(HEIGHT_IN) -/** Calculate the space to batch conversion. - * - * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float - * @note The block shape tensor rank must be passed at compile time using -DBLOCK_SHAPE_DIM. e.g. -DBLOCK_SHAPE_DIM=2 - * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: All - * @param[in] input_stride_x Stride of the 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 source image 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 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 image - * @param[in] paddings_ptr Pointer to the second source image. Supported data types: S32 - * @param[in] paddings_stride_x Stride of the paddinds tensor in X dimension (in bytes) - * @param[in] paddings_step_x paddings_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] paddings_stride_y Stride of the paddinds tensor in Y dimension (in bytes) - * @param[in] paddings_step_y paddings_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] paddingse_offset_first_element_in_bytes The offset of the first element in the second source image - * @param[in] block_shape_ptr Pointer to the block shape tensor. Supported data types: S32 - * @param[in] block_shape_stride_x Stride of the block shape tensor in X dimension (in bytes) - * @param[in] block_shape_step_x block_shape_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] block_shape_offset_first_element_in_bytes The offset of the first element in the block shapetensor - * @param[in] batch_id The output tensor batch id - * @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 image - */ -__kernel void space_to_batch_nchw( - TENSOR4D_DECLARATION(input), - IMAGE_DECLARATION(paddings), - VECTOR_DECLARATION(block_shape), - const int batch_id, - TENSOR3D_DECLARATION(output)) -{ - Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, 0); - Image pad = CONVERT_TO_IMAGE_STRUCT_NO_STEP(paddings); - Vector block = CONVERT_TO_VECTOR_STRUCT_NO_STEP(block_shape); - Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); - - const int pad_left_x = *((__global int *)offset(&pad, 0, 0)); - const int pad_right_x = *((__global int *)offset(&pad, 1, 0)); - const int pad_left_y = *((__global int *)offset(&pad, 0, 1)); - const int pad_right_y = *((__global int *)offset(&pad, 1, 1)); - - int block_x = *((__global int *)vector_offset(&block, 0)); - int block_y = *((__global int *)vector_offset(&block, 1)); - - const int out_x = get_global_id(0); - const int out_y = get_global_id(1); - const int z = get_global_id(2); - - const int pos_x = out_x * block_x + ((batch_id / BATCH_IN) % block_x); - const int pos_y = out_y * block_y + ((batch_id / BATCH_IN) / block_x); - - if(((pos_y >= pad_left_y) && (pos_y < pad_left_y + HEIGHT_IN) && (pos_x >= pad_left_x) && (pos_x < pad_left_x + WIDTH_IN))) - { - const int w = batch_id % BATCH_IN; - const int in_x = pos_x - pad_left_x; - const int in_y = pos_y - pad_left_y; - - *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(&in, in_x, in_y, z, w)); - } -} -/** Calculate the space to batch conversion. (NHWC) - * - * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float - * @note The block shape tensor rank must be passed at compile time using -DBLOCK_SHAPE_DIM. e.g. -DBLOCK_SHAPE_DIM=2 - * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: All - * @param[in] input_stride_x Stride of the 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 source image 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 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 image - * @param[in] paddings_ptr Pointer to the second source image. Supported data types: S32 - * @param[in] paddings_stride_x Stride of the paddinds tensor in X dimension (in bytes) - * @param[in] paddings_step_x paddings_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] paddings_stride_y Stride of the paddinds tensor in Y dimension (in bytes) - * @param[in] paddings_step_y paddings_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] paddingse_offset_first_element_in_bytes The offset of the first element in the second source image - * @param[in] block_shape_ptr Pointer to the block shape tensor. Supported data types: S32 - * @param[in] block_shape_stride_x Stride of the block shape tensor in X dimension (in bytes) - * @param[in] block_shape_step_x block_shape_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] block_shape_offset_first_element_in_bytes The offset of the first element in the block shapetensor - * @param[in] batch_id The output tensor batch id - * @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 image - */ -__kernel void space_to_batch_nhwc( - TENSOR4D_DECLARATION(input), - IMAGE_DECLARATION(paddings), - VECTOR_DECLARATION(block_shape), - const int batch_id, - TENSOR3D_DECLARATION(output)) -{ - Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, 0); - Image pad = CONVERT_TO_IMAGE_STRUCT_NO_STEP(paddings); - Vector block = CONVERT_TO_VECTOR_STRUCT_NO_STEP(block_shape); - Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); - - const int pad_left_x = *((__global int *)offset(&pad, 0, 0)); - const int pad_right_x = *((__global int *)offset(&pad, 1, 0)); - const int pad_left_y = *((__global int *)offset(&pad, 0, 1)); - const int pad_right_y = *((__global int *)offset(&pad, 1, 1)); - - int block_x = *((__global int *)vector_offset(&block, 0)); - int block_y = *((__global int *)vector_offset(&block, 1)); - - const int out_x = get_global_id(1); - const int out_y = get_global_id(2); - const int z = get_global_id(0); - - const int pos_x = out_x * block_x + ((batch_id / BATCH_IN) % block_x); - const int pos_y = out_y * block_y + ((batch_id / BATCH_IN) / block_x); - - if(((pos_y >= pad_left_y) && (pos_y < pad_left_y + HEIGHT_IN) && (pos_x >= pad_left_x) && (pos_x < pad_left_x + WIDTH_IN))) - { - const int w = batch_id % BATCH_IN; - const int in_x = pos_x - pad_left_x; - const int in_y = pos_y - pad_left_y; - - *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(&in, z, in_x, in_y, w)); - } -} -#endif // defined(BATCH_SIZE) && defined(DATA_TYPE) && defined(WIDTH_IN) && defined(HEIGHT_IN) - -#if defined(BATCH_SIZE) && defined(DATA_TYPE) && defined(BLOCK_SHAPE_X) && defined(BLOCK_SHAPE_Y) && defined(PAD_LEFT_X) && defined(PAD_RIGHT_X) && defined(PAD_LEFT_Y) && defined(PAD_RIGHT_Y) && defined(WIDTH_IN) && defined(HEIGHT_IN) -/** Calculate the space to batch conversion. - * - * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float - * @note The input tensor batch size must be passed at compile time using -DBATCH_SIZE. e.g. -DBATCH_SIZE=2 - * @note The block shape x must be passed at compile time using -DBLOCK_SHAPE_X. e.g. -DBLOCK_SHAPE_X=2 - * @note The block shape y must be passed at compile time using -DBLOCK_SHAPE_Y. e.g. -DBLOCK_SHAPE_Y=2 - * @note The starting pad value of x must be passed at compile time using -DPAD_LEFT_X. e.g. -DPAD_LEFT_X=2 - * @note The ending pad value of x must be passed at compile time using -DPAD_RIGHT_X. e.g. -DPAD_RIGHT_X=2 - * @note The starting pad value of y must be passed at compile time using -DPAD_LEFT_Y. e.g. -DPAD_LEFT_Y=2 - * @note The ending pad value of y must be passed at compile time using -DPAD_RIGHT_Y. e.g. -DPAD_RIGHT_X=2 - * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: All - * @param[in] input_stride_x Stride of the 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 source image 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 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 image - * @param[in] batch_id The output tensor batch id - * @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 source 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 image - */ -__kernel void space_to_batch_static_nchw( - TENSOR4D_DECLARATION(input), - const int batch_id, - TENSOR3D_DECLARATION(output)) -{ - Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, 0); - Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); - - int block_x = BLOCK_SHAPE_X; - int block_y = BLOCK_SHAPE_Y; - - const int out_x = get_global_id(0); - const int out_y = get_global_id(1); - const int z = get_global_id(2); - - const int pos_x = out_x * block_x + ((batch_id / BATCH_IN) % block_x); - const int pos_y = out_y * block_y + ((batch_id / BATCH_IN) / block_x); - - if(pos_y >= PAD_LEFT_Y && pos_y < PAD_LEFT_Y + HEIGHT_IN && pos_x >= PAD_LEFT_X && pos_x < PAD_LEFT_X + WIDTH_IN) - { - const int w = batch_id % BATCH_IN; - const int in_x = pos_x - PAD_LEFT_X; - const int in_y = pos_y - PAD_LEFT_Y; - - *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(&in, in_x, in_y, z, w)); - } -} -/** Calculate the space to batch conversion. (NHWC) - * - * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float - * @note The input tensor batch size must be passed at compile time using -DBATCH_SIZE. e.g. -DBATCH_SIZE=2 - * @note The block shape x must be passed at compile time using -DBLOCK_SHAPE_X. e.g. -DBLOCK_SHAPE_X=2 - * @note The block shape y must be passed at compile time using -DBLOCK_SHAPE_Y. e.g. -DBLOCK_SHAPE_Y=2 - * @note The starting pad value of x must be passed at compile time using -DPAD_LEFT_X. e.g. -DPAD_LEFT_X=2 - * @note The ending pad value of x must be passed at compile time using -DPAD_RIGHT_X. e.g. -DPAD_RIGHT_X=2 - * @note The starting pad value of y must be passed at compile time using -DPAD_LEFT_Y. e.g. -DPAD_LEFT_Y=2 - * @note The ending pad value of y must be passed at compile time using -DPAD_RIGHT_Y. e.g. -DPAD_RIGHT_X=2 - * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: All - * @param[in] input_stride_x Stride of the 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 source image 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 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 image - * @param[in] batch_id The output tensor batch id - * @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 source 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 image - */ -__kernel void space_to_batch_static_nhwc( - TENSOR4D_DECLARATION(input), - const int batch_id, - TENSOR3D_DECLARATION(output)) -{ - Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, 0); - Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); - - int block_x = BLOCK_SHAPE_X; - int block_y = BLOCK_SHAPE_Y; - - const int out_x = get_global_id(1); - const int out_y = get_global_id(2); - const int z = get_global_id(0); - - const int pos_x = out_x * block_x + ((batch_id / BATCH_IN) % block_x); - const int pos_y = out_y * block_y + ((batch_id / BATCH_IN) / block_x); - - if(pos_y >= PAD_LEFT_Y && pos_y < PAD_LEFT_Y + HEIGHT_IN && pos_x >= PAD_LEFT_X && pos_x < PAD_LEFT_X + WIDTH_IN) - { - const int w = batch_id % BATCH_IN; - const int in_x = pos_x - PAD_LEFT_X; - const int in_y = pos_y - PAD_LEFT_Y; - - *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(&in, z, in_x, in_y, w)); - } -} -#endif // defined(BATCH_SIZE) && defined(DATA_TYPE) && defined(BLOCK_SHAPE_X) && defined(BLOCK_SHAPE_Y) && defined(PAD_LEFT_X) && defined(PAD_RIGHT_X) && defined(PAD_LEFT_Y) && defined(PAD_RIGHT_Y) && defined(WIDTH_IN) && defined(HEIGHT_IN) |