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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/nchw/upsample_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/nchw/upsample_layer.cl')
-rw-r--r-- | src/core/CL/cl_kernels/nchw/upsample_layer.cl | 79 |
1 files changed, 79 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/nchw/upsample_layer.cl b/src/core/CL/cl_kernels/nchw/upsample_layer.cl new file mode 100644 index 0000000000..723c491165 --- /dev/null +++ b/src/core/CL/cl_kernels/nchw/upsample_layer.cl @@ -0,0 +1,79 @@ +/* + * Copyright (c) 2018-2021 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. (NCHW) + * + * @attention The following variables must be passed at compile time: + * -# -DDATA_TYPE = Tensor data type. Supported data types: All + * -# -DVEC_SIZE_IN = Input vector size + * -# -DVEC_SIZE_OUT = Output vector size + * -# -DLAST_ACCESSED_X_IN = The input element that is on the X border (threads trying to set this, might need to step back a bit) + * -# -DLAST_ACCESSED_X_OUT = The output element that is on the X border (threads trying to set this, might need to step back a bit) + * + * @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 upsample_layer_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); + +#if defined(VEC_SIZE_IN) && defined(VEC_SIZE_OUT) && defined(LAST_ACCESSED_X_IN) && defined(LAST_ACCESSED_X_OUT) + // Check if access on width gets out of bounds + // If it does shift access vector to access elements within bounds + const int xi_in = (int)(get_global_id(0) * VEC_SIZE_IN); + const int xi_out = (int)(get_global_id(0) * VEC_SIZE_OUT); + src.ptr -= max(xi_in - (int)LAST_ACCESSED_X_IN, 0) * src_stride_x; + dst.ptr -= max(xi_out - (int)LAST_ACCESSED_X_OUT, 0) * dst_stride_x; + + VEC_DATA_TYPE(DATA_TYPE, 8) + data = vload8(0, (__global DATA_TYPE *)src.ptr); + + VEC_DATA_TYPE(DATA_TYPE, 16) + data_out = (VEC_DATA_TYPE(DATA_TYPE, 16))(data.s0, data.s0, data.s1, data.s1, data.s2, data.s2, data.s3, data.s3, data.s4, data.s4, data.s5, data.s5, data.s6, data.s6, data.s7, data.s7); + + vstore16(data_out, 0, (__global DATA_TYPE *)dst.ptr); + vstore16(data_out, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, 0, 1, 0)); +#else // !defined(VEC_SIZE_IN) && defined(VEC_SIZE_OUT) && defined(LAST_ACCESSED_X_IN) && defined(LAST_ACCESSED_X_OUT) + *((__global DATA_TYPE *)tensor3D_offset(&dst, 0, 0, 0)) = *((__global DATA_TYPE *)src.ptr); + *((__global DATA_TYPE *)tensor3D_offset(&dst, 0, 1, 0)) = *((__global DATA_TYPE *)src.ptr); +#endif // defined(VEC_SIZE_IN) && defined(VEC_SIZE_OUT) && defined(LAST_ACCESSED_X_IN) && defined(LAST_ACCESSED_X_OUT) +}
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