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authorAdnan AlSinan <adnan.alsinan@arm.com>2021-07-05 13:12:52 +0100
committerGeorgios Pinitas <georgios.pinitas@arm.com>2021-07-25 13:04:23 +0000
commit7075fe2c5ee6f7cfe7cfd9454d905235e70b9ac4 (patch)
treeb65671bdf37eb1ef8cc30ef64ab572da795546fa /src/core/CL/cl_kernels/convert_fc_weights.cl
parent22f5ed51f1b01f7cf6993a556a0b763e437926fc (diff)
downloadComputeLibrary-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/convert_fc_weights.cl')
-rw-r--r--src/core/CL/cl_kernels/convert_fc_weights.cl58
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diff --git a/src/core/CL/cl_kernels/convert_fc_weights.cl b/src/core/CL/cl_kernels/convert_fc_weights.cl
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--- a/src/core/CL/cl_kernels/convert_fc_weights.cl
+++ /dev/null
@@ -1,58 +0,0 @@
-/*
- * Copyright (c) 2018-2020 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(FACTOR_1) && defined(FACTOR_2)
-/** Perform a NCHW -> NHWC or NHWC -> NCHW conversion for Fully Connected 2D weights.
- *
- * For NCHW -> NHWC, FACTOR_1 will be equal to the product of the first two dimensions of FullyConnectedLayer's input and FACTOR_2 will represent the number of channels of that tensor.
- * For NHWC -> NCHW, FACTOR_1 and FACTOR_2 will hold the same values, but swapped.
- *
- * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
- * @attention Original input tensor width*height and depth should be given as a preprocessor argument using -DFACTOR_1=size and -DFACTOR_2=size for NCHW and vice versa for NHWC. e.g. -DFACTOR_1=256 and -DFACTOR_2=128
- *
- * @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_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_offset_first_element_in_bytes The offset of the first element in the destination image
- */
-__kernel void convert_fc_weights(
- IMAGE_DECLARATION(src),
- IMAGE_DECLARATION(dst))
-{
- Image src = CONVERT_TO_IMAGE_STRUCT(src);
-
- __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + get_global_id(0) * dst_stride_x + (get_global_id(1) % FACTOR_1 * FACTOR_2 + get_global_id(1) / FACTOR_1) * dst_stride_y;
-
- *((__global DATA_TYPE *)dst_addr) = *((__global DATA_TYPE *)src.ptr);
-}
-#endif // defined(DATA_TYPE) && defined(FACTOR_1) && defined(FACTOR_2)