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Diffstat (limited to 'src/core/CL/cl_kernels/convolution_layer.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/convolution_layer.cl | 112 |
1 files changed, 0 insertions, 112 deletions
diff --git a/src/core/CL/cl_kernels/convolution_layer.cl b/src/core/CL/cl_kernels/convolution_layer.cl deleted file mode 100644 index cfd1f12328..0000000000 --- a/src/core/CL/cl_kernels/convolution_layer.cl +++ /dev/null @@ -1,112 +0,0 @@ -/* - * Copyright (c) 2017-2019 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(NUM_GROUPS) -/** This kernel reshapes the tensor's low three dimensions to single column - * - * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short - * @note The number of groups should be given as a preprocessor argument using -DNUM_GROUPS=number. e.g. -DNUM_GROUPS=2 - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: All - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] bias_ptr Pointer to the bias tensor. Supported data types: F16/F32, for quantized types this must be nullptr - * @param[in] bias_stride_x Stride of the bias tensor in X dimension (in bytes) - * @param[in] bias_step_x bias_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] bias_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] width The width of the input tensor - * @param[in] height The height of the input tensor - * @param[in] depth The depth of the input tensor - * @param[in] total_filters Total number of filters. 4th dimension of the weights matrix - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - */ -__kernel void reshape_to_columns( - TENSOR3D_DECLARATION(src), - IMAGE_DECLARATION(dst), -#ifdef HAS_BIAS - VECTOR_DECLARATION(bias), -#endif /* HAS_BIAS */ - uint width, uint height, uint depth, uint total_filters, uint dst_stride_z) -{ - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); - bool is_last_thread = (get_global_id(0) == (get_global_size(0) - 1) && get_global_id(1) == (get_global_size(1) - 1) && get_global_id(2) == (get_global_size(2) - 1)); - - __global uchar *tmp_src_ptr = src.ptr; - __global uchar *tmp_dst_ptr = dst_ptr + dst_offset_first_element_in_bytes + get_global_id(0) * dst_stride_y + get_global_id(1) * width * dst_stride_y + get_global_id( - 2) * width * height * dst_stride_y; -#ifdef HAS_BIAS - __global uchar *tmp_bias_ptr = bias_ptr + bias_offset_first_element_in_bytes; -#endif /* HAS_BIAS */ - - if(is_last_thread) - { - for(uint g = 0; g < NUM_GROUPS; ++g) - { - __global uchar *curr_group_dst = tmp_dst_ptr; - - for(uint i = 0; i < total_filters / NUM_GROUPS; ++i) - { - *((__global DATA_TYPE *)curr_group_dst) = *((__global DATA_TYPE *)tmp_src_ptr); - -#ifdef HAS_BIAS - *((__global DATA_TYPE *)(curr_group_dst + dst_stride_y)) = *((__global DATA_TYPE *)(tmp_bias_ptr)); - tmp_bias_ptr += bias_stride_x; -#endif /* HAS_BIAS */ - tmp_src_ptr += depth * src_stride_z; - curr_group_dst += dst_stride_x; - } - - tmp_dst_ptr += dst_stride_z; - } - } - else - { - for(uint g = 0; g < NUM_GROUPS; ++g) - { - __global uchar *curr_group_dst = tmp_dst_ptr; - - for(uint i = 0; i < total_filters / NUM_GROUPS; ++i) - { - *((__global DATA_TYPE *)curr_group_dst) = *((__global DATA_TYPE *)tmp_src_ptr); - tmp_src_ptr += depth * src_stride_z; - curr_group_dst += dst_stride_x; - } - - tmp_dst_ptr += dst_stride_z; - } - } -} -#endif // defined(DATA_TYPE) |