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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/deconvolution_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/deconvolution_layer.cl')
-rw-r--r-- | src/core/CL/cl_kernels/common/deconvolution_layer.cl | 130 |
1 files changed, 130 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/common/deconvolution_layer.cl b/src/core/CL/cl_kernels/common/deconvolution_layer.cl new file mode 100644 index 0000000000..4ac5e3f0e9 --- /dev/null +++ b/src/core/CL/cl_kernels/common/deconvolution_layer.cl @@ -0,0 +1,130 @@ +/* + * 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" + +/** This function applies upsample on an input image. + * + * @param[in] src_ptr Pointer to the source image. Supported data types: All. + * @param[in] src_stride_x Stride of the source image 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 image 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 Z processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[out] dst_ptr Pointer to the destination image. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination image 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 image 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_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image + */ +__kernel void deconvolution_upsample( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); + + // Store result + *((__global DATA_TYPE *)dst.ptr) = *((__global DATA_TYPE *)src.ptr); +} + +#if defined(FILTER_WIDTH) && defined(FILTER_HEIGHT) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DATA_TYPE) +/** This kernel reshapes the deconvolution output tensor before returning the result of the Deconvolution. The decovnolution output tensor + * is the result of a @ref CLGEMM operation between the deconvolution input and the deconvolution filter + * + * @note Data type should be given as a preprocessor argument using -DDATA_TYPE=type, e.g., -DDATA_TYPE=F32 + * @note The width of the filter should be given as a preprocessor argument using -DFILTER_WIDTH=width, e.g., -DFILTER_WIDTH=2 + * @note The height of the filter should be given as a preprocessor argument using -DFILTER_HEIGHT=height, e.g., -DFILTER_HEIGHT=2 + * @note The width of the input should be given as a preprocessor argument using -DSRC_WIDTH=width, e.g., -DSRC_WIDTH=10 + * @note The height of the input should be given as a preprocessor argument using -DSRC_HEIGHT=width, e.g., -DSRC_HEIGHT=10 + * @note The output data layout is NHWC if the preprocessor argument NUM_FILTERS is defined, NCHW if NUM_FILTERS is not defined + * + * @param[in] src_ptr Pointer to the source image. Supported data types: QASYMM8/QASYMM8_SIGNED/F16/F32 + * @param[in] src_stride_x Stride of the source image 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 image 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 Z processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[out] dst_ptr Pointer to the destination image. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination image 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 image 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_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image + * @param[in] bias_ptr (Optional) Pointer to the biases vector. Supported data types: F16/F32/S32 + * @param[in] bias_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) + * @param[in] bias_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector + */ +__kernel void deconvolution_reshape( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(ADD_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(ADD_BIAS) +) +{ +#define FILTER_AREA ((FILTER_WIDTH) * (FILTER_HEIGHT)) + + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(dst); + const DATA_TYPE data = *(__global DATA_TYPE *)src.ptr; + + // Store result + const int x_in = get_global_id(0); + const int y_in = get_global_id(1); + const int z_in = get_global_id(2); + +#if defined(NUM_FILTERS) + const int bias_index = x_in / (FILTER_AREA); + const int z_out = bias_index + (NUM_FILTERS) * (z_in / (SRC_HEIGHT)); + const int x_out = x_in % (FILTER_WIDTH) + y_in * (FILTER_WIDTH); + const int y_out = (FILTER_HEIGHT) * (z_in % (SRC_HEIGHT)) + ((x_in % (FILTER_AREA)) / (FILTER_WIDTH)); +#else // defined(NUM_FILTERS) + const int x_out = x_in / (FILTER_AREA); + const int y_out = x_in % (FILTER_WIDTH) + y_in * (FILTER_WIDTH); + const int z_out = (FILTER_HEIGHT) * z_in + ((x_in % (FILTER_AREA)) / (FILTER_WIDTH)); + const int bias_index = x_out; +#endif // defined(NUM_FILTERS) + +#if defined(ADD_BIAS) + Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); + const DATA_TYPE bias_val = *(__global DATA_TYPE *)vector_offset(&bias, bias_index); + *((__global DATA_TYPE *)tensor3D_offset(&dst, x_out, y_out, z_out)) = data + bias_val; +#else // defined(ADD_BIAS) + *((__global DATA_TYPE *)tensor3D_offset(&dst, x_out, y_out, z_out)) = data; +#endif // defined(ADD_BIAS) + +#undef FILTER_AREA +} +#endif // defined(FILTER_WIDTH) && defined(FILTER_HEIGHT) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DATA_TYPE) |