diff options
Diffstat (limited to 'src/core/CL/cl_kernels/batch_to_space.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/batch_to_space.cl | 232 |
1 files changed, 0 insertions, 232 deletions
diff --git a/src/core/CL/cl_kernels/batch_to_space.cl b/src/core/CL/cl_kernels/batch_to_space.cl deleted file mode 100644 index 8a71985b02..0000000000 --- a/src/core/CL/cl_kernels/batch_to_space.cl +++ /dev/null @@ -1,232 +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(DATA_TYPE) && defined(BATCH_SIZE) -/** Batch to space transformation. (NCHW) - * - * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float - * @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 - * - * @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 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 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[in] batch_id The input tensor batch id - * @param[in] block_shape_ptr Pointer to the source tensor. Supported data types: S32 - * @param[in] block_shape_stride_x Stride of the source 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_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] block_shape_step_y block_shape_stride_y * number of elements along Y 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 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 tensor - */ -__kernel void batch_to_space_nchw( - TENSOR3D_DECLARATION(input), - const int batch_id, - VECTOR_DECLARATION(block_shape), - TENSOR4D_DECLARATION(output)) -{ - Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); - Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output, 0); - Vector block = CONVERT_TO_VECTOR_STRUCT_NO_STEP(block_shape); - - const int block_x = *((__global int *)vector_offset(&block, 0)); - const int block_y = *((__global int *)vector_offset(&block, 1)); - - const int r = (BATCH_SIZE / (block_x * block_y)); - const int x = get_global_id(0); - const int y = get_global_id(1); - const int z = get_global_id(2); - const int w = batch_id % r; - - const int out_x = x * block_x + (batch_id / r) % block_x; - const int out_y = y * block_y + (batch_id / r) / block_x; - - *((__global DATA_TYPE *)tensor4D_offset(&out, out_x, out_y, z, w)) = *((__global DATA_TYPE *)in.ptr); -} -/** Batch to space transformation. (NHWC) - * - * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float - * @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 - * - * @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 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 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[in] batch_id The input tensor batch id - * @param[in] block_shape_ptr Pointer to the source tensor. Supported data types: S32 - * @param[in] block_shape_stride_x Stride of the source 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_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] block_shape_step_y block_shape_stride_y * number of elements along Y 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 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 tensor - */ -__kernel void batch_to_space_nhwc( - TENSOR3D_DECLARATION(input), - const int batch_id, - VECTOR_DECLARATION(block_shape), - TENSOR4D_DECLARATION(output)) -{ - Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); - Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output, 0); - Vector block = CONVERT_TO_VECTOR_STRUCT_NO_STEP(block_shape); - - const int block_x = *((__global int *)vector_offset(&block, 0)); - const int block_y = *((__global int *)vector_offset(&block, 1)); - - const int r = (BATCH_SIZE / (block_x * block_y)); - const int x = get_global_id(1); - const int y = get_global_id(2); - const int z = get_global_id(0); - const int w = batch_id % r; - - const int out_x = x * block_x + (batch_id / r) % block_x; - const int out_y = y * block_y + (batch_id / r) / block_x; - - *((__global DATA_TYPE *)tensor4D_offset(&out, z, out_x, out_y, w)) = *((__global DATA_TYPE *)in.ptr); -} -#endif // defined(DATA_TYPE) && defined(BATCH_SIZE) - -#if defined(DATA_TYPE) && defined(BATCH_SIZE) && defined(BLOCK_SHAPE_X) && defined(BLOCK_SHAPE_Y) -/** Batch to space transformation. (NCHW) - * - * @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 - * - * @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 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 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[in] batch_id The input 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 tensor - */ -__kernel void batch_to_space_static_nchw( - TENSOR3D_DECLARATION(input), - const int batch_id, - TENSOR4D_DECLARATION(output)) -{ - Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); - Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output, 0); - - const int block_x = BLOCK_SHAPE_X; - const int block_y = BLOCK_SHAPE_Y; - - const int r = (BATCH_SIZE / (block_x * block_y)); - const int x = get_global_id(0); - const int y = get_global_id(1); - const int z = get_global_id(2); - const int w = batch_id % r; - - const int out_x = x * block_x + (batch_id / r) % block_x; - const int out_y = y * block_y + (batch_id / r) / block_x; - - *((__global DATA_TYPE *)tensor4D_offset(&out, out_x, out_y, z, w)) = *((__global DATA_TYPE *)in.ptr); -} -/** Batch to space transformation. (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 - * - * @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 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 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[in] batch_id The input 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 tensor - */ -__kernel void batch_to_space_static_nhwc( - TENSOR3D_DECLARATION(input), - const int batch_id, - TENSOR4D_DECLARATION(output)) -{ - Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); - Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output, 0); - - const int block_x = BLOCK_SHAPE_X; - const int block_y = BLOCK_SHAPE_Y; - - const int r = (BATCH_SIZE / (block_x * block_y)); - const int x = get_global_id(1); - const int y = get_global_id(2); - const int z = get_global_id(0); - const int w = batch_id % r; - - const int out_x = x * block_x + (batch_id / r) % block_x; - const int out_y = y * block_y + (batch_id / r) / block_x; - - *((__global DATA_TYPE *)tensor4D_offset(&out, z, out_x, out_y, w)) = *((__global DATA_TYPE *)in.ptr); -} -#endif // defined(DATA_TYPE) && defined(BATCH_SIZE) && defined(BLOCK_SHAPE_X) && defined(BLOCK_SHAPE_Y)
\ No newline at end of file |