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Diffstat (limited to 'libs/ARMComputeEx/src/core/CL/cl_kernels/batch_to_space_nd.cl')
-rw-r--r-- | libs/ARMComputeEx/src/core/CL/cl_kernels/batch_to_space_nd.cl | 70 |
1 files changed, 0 insertions, 70 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/cl_kernels/batch_to_space_nd.cl b/libs/ARMComputeEx/src/core/CL/cl_kernels/batch_to_space_nd.cl deleted file mode 100644 index ad6a48a02..000000000 --- a/libs/ARMComputeEx/src/core/CL/cl_kernels/batch_to_space_nd.cl +++ /dev/null @@ -1,70 +0,0 @@ -/* - * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved - * Copyright (c) 2016, 2017 ARM Limited. - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ -#include "helpers.h" - -#if defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(BLOCK_SIZE0) && defined(BLOCK_SIZE1) && defined(BATCH_OUT) -/** Perform batch to space rearrangement of tensor - * - * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float - * @attention Output tensor batch should be given as a preprocessor argument using -DBATCH_OUT=size. e.g. -DBATCH_OUT=16 - * @attention block size should be given as a preprocessor argument using -DBLOCK_SIZE0=size. e.g. -DBLOCK_SIZE0=1 - * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32 - * @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 source tensor - * - * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p inpu -t_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_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] output_step_w output_stride_w * number of elements along W 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_nd( - TENSOR4D_DECLARATION(input), - TENSOR4D_DECLARATION(output)) - { - Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, 0); - Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(output, DEPTH_OUT); - - int out_index[4]={0}; - int in_index[4]={0}; - - out_index[0] = get_global_id(0);//W - out_index[1] = get_global_id(1);//H - out_index[2] = get_global_id(2) % DEPTH_OUT;//C - out_index[3] = get_global_id(2) / DEPTH_OUT;//N - - in_index[0] = out_index[0]/BLOCK_SIZE1; - in_index[1] = out_index[1]/BLOCK_SIZE0; - in_index[2] = out_index[2]; - in_index[3] = out_index[3] + ((out_index[1] % BLOCK_SIZE0) * BLOCK_SIZE0 + out_index[0] % BLOCK_SIZE1) * BATCH_OUT; - - *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(&in, in_index[0], in_index[1], in_index[2], in_index[3])); - } -#endif // defined(DATA_TYPE) && defined(DEPTH_IN) && defined(BLOCK_SIZE0) && defined(BLOCK_SIZE1) && defined(BATCH_OUT) |