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author | Adnan AlSinan <adnan.alsinan@arm.com> | 2021-07-05 13:12:52 +0100 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-07-25 13:04:23 +0000 |
commit | 7075fe2c5ee6f7cfe7cfd9454d905235e70b9ac4 (patch) | |
tree | b65671bdf37eb1ef8cc30ef64ab572da795546fa /src/core/CL/cl_kernels/common/convolution_layer.cl | |
parent | 22f5ed51f1b01f7cf6993a556a0b763e437926fc (diff) | |
download | ComputeLibrary-7075fe2c5ee6f7cfe7cfd9454d905235e70b9ac4.tar.gz |
Reorganize the kernels into nhwc, nchw and common folders
The Following kernels have been split into nchw/nhwc kernels files:
- batchnormalization_layer
- batch_to_space
- channel_shuffle
- depth_to_space
- dequantization_layer
- im2col
- normalization_layer
- normalize_planar_yuv_layer
- normalize_planar_yuv_layer_quantized
- pooling_layer
- pooling_layer_quantized
- remap
- reorg_layer
- scale
- scale_quantized
- space_to_batch
- space_to_depth
- upsample_layer
- winograd_filter_transform
- winograd_input_transform
- winograd_output_transform
The following kernels have been moved to nchw folder:
- direct_convolution1x1
- direct_convolution3x3
- direct_convolution5x5
- direct_convolution_quantized
- prior_box_layer
The following kernels have been moved to nhwc folder:
- direct_convolution
- dwc_native_fp_nhwc
- dwc_native_quantized_nhwc
The following kernels have been removed:
- sobel_filter
While the rest kerenls have been moved to the common folder.
Partially resolves COMPMID-4453
Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com>
Change-Id: Ic327ac935687ec351c610c65a3c6357f364a5a58
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5919
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/common/convolution_layer.cl')
-rw-r--r-- | src/core/CL/cl_kernels/common/convolution_layer.cl | 112 |
1 files changed, 112 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/common/convolution_layer.cl b/src/core/CL/cl_kernels/common/convolution_layer.cl new file mode 100644 index 0000000000..be76929ac8 --- /dev/null +++ b/src/core/CL/cl_kernels/common/convolution_layer.cl @@ -0,0 +1,112 @@ +/* + * Copyright (c) 2017-2021 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) |