From 7075fe2c5ee6f7cfe7cfd9454d905235e70b9ac4 Mon Sep 17 00:00:00 2001 From: Adnan AlSinan Date: Mon, 5 Jul 2021 13:12:52 +0100 Subject: 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 Change-Id: Ic327ac935687ec351c610c65a3c6357f364a5a58 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5919 Tested-by: Arm Jenkins Reviewed-by: Georgios Pinitas Comments-Addressed: Arm Jenkins --- src/core/CL/cl_kernels/dequantization_layer.cl | 212 ------------------------- 1 file changed, 212 deletions(-) delete mode 100644 src/core/CL/cl_kernels/dequantization_layer.cl (limited to 'src/core/CL/cl_kernels/dequantization_layer.cl') diff --git a/src/core/CL/cl_kernels/dequantization_layer.cl b/src/core/CL/cl_kernels/dequantization_layer.cl deleted file mode 100644 index 127f67d940..0000000000 --- a/src/core/CL/cl_kernels/dequantization_layer.cl +++ /dev/null @@ -1,212 +0,0 @@ -/* - * Copyright (c) 2017-2020 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(VEC_SIZE) && defined(DATA_TYPE_SRC) && defined(DATA_TYPE_DST) && defined(SCALE) && defined(OFFSET) - -/** This performs the dequantization of 8-bit unsigned integers to floating point. - * - * @note Source datatype should be given as a preprocessor argument using -DDATA_TYPE_SRC=type. e.g. -DDATA_TYPE_SRC=char - * @note Destination datatype should be given as a preprocessor argument using -DDATA_TYPE_DST=type. e.g. -DDATA_TYPE_DST=float - * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 - * @note Quantization scale of input tensor is passed in with -DSCALE=scale. - * @note Quantization offset of input tensor is passed in with -DOFFSET=offset. - * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/QSYMM8 - * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] output_ptr Pointer to the destination tensor. Supported data types: F16/F32 - * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void dequantization_layer( - TENSOR3D_DECLARATION(input), - TENSOR3D_DECLARATION(output)) -{ - // Get pixels pointer - Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); - Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); - -#if defined(LAST_ACCESSED_X) - // Check if access on width gets out of bounds - // If it does shift access vector to access elements within bounds - const int xi = (int)(get_global_id(0) * VEC_SIZE); - input.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * input_stride_x; - output.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * output_stride_x; - - // Load data - VEC_DATA_TYPE(int, VEC_SIZE) - val = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_SRC *)input.ptr), VEC_DATA_TYPE(int, VEC_SIZE)); - - // Create scale and offset vectors - const VEC_DATA_TYPE(float, VEC_SIZE) - vscale = SCALE; - - const VEC_DATA_TYPE(int, VEC_SIZE) - voffset = OFFSET; - - // Dequantize - VEC_DATA_TYPE(float, VEC_SIZE) - res = vscale * CONVERT((val - voffset), VEC_DATA_TYPE(float, VEC_SIZE)); - - // Store result - VSTORE(VEC_SIZE) - (CONVERT(res, VEC_DATA_TYPE(DATA_TYPE_DST, VEC_SIZE)), 0, (__global DATA_TYPE_DST *)output.ptr); -#else // !defined(LAST_ACCESSED_X) - *((__global DATA_TYPE_DST *)(output.ptr)) = (DATA_TYPE_DST)((float)((int)(*((__global DATA_TYPE_SRC *)(input.ptr))) - (int)(OFFSET)) * (float)(SCALE)); -#endif // defined(LAST_ACCESSED_X) -} -#endif // defined(VEC_SIZE) && defined(DATA_TYPE_SRC) && defined(DATA_TYPE_DST) && defined(SCALE) && defined(OFFSET) - -#if defined(VEC_SIZE) && defined(DATA_TYPE_SRC) && defined(DATA_TYPE_DST) -/** This performs per channel dequantization of 8-bit signed integers to floating point. (NCHW) - * - * @note Source datatype should be given as a preprocessor argument using -DDATA_TYPE_SRC=type. e.g. -DDATA_TYPE_SRC=char - * @note Destination datatype should be given as a preprocessor argument using -DDATA_TYPE_DST=type. e.g. -DDATA_TYPE_DST=float - * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 - * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: QSYMM8_PER_CHANNEL - * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] output_ptr Pointer to the destination tensor. Supported data types: F16/F32 - * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] scale Pointer to buffer with the per channel quantized scales - */ -__kernel void dequantization_layer_per_channel_nchw( - TENSOR3D_DECLARATION(input), - TENSOR3D_DECLARATION(output), - __global float *scale) -{ - // Get pixels pointer - Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); - Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); - -#if defined(LAST_ACCESSED_X) - // Check if access on width gets out of bounds - // If it does shift access vector to access elements within bounds - const int xi = (int)(get_global_id(0) * VEC_SIZE); - input.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * input_stride_x; - output.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * output_stride_x; - - // Load data - VEC_DATA_TYPE(int, VEC_SIZE) - val = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_SRC *)input.ptr), VEC_DATA_TYPE(int, VEC_SIZE)); - - // Create scale vectors - const VEC_DATA_TYPE(float, VEC_SIZE) - vscale = scale[get_global_id(2)]; - - // Dequantize - VEC_DATA_TYPE(float, VEC_SIZE) - res = vscale * CONVERT((val), VEC_DATA_TYPE(float, VEC_SIZE)); - - // Store result - VSTORE(VEC_SIZE) - (CONVERT(res, VEC_DATA_TYPE(DATA_TYPE_DST, VEC_SIZE)), 0, (__global DATA_TYPE_DST *)output.ptr); -#else // !defined(LAST_ACCESSED_X) - *((__global DATA_TYPE_DST *)(output.ptr)) = (DATA_TYPE_DST)((float)((int)(*((__global DATA_TYPE_SRC *)(input.ptr)))) * scale[get_global_id(2)]); -#endif // defined(LAST_ACCESSED_X) -} -/** This performs per channel dequantization of 8-bit signed integers to floating point. (NHWC) - * - * @note Source datatype should be given as a preprocessor argument using -DDATA_TYPE_SRC=type. e.g. -DDATA_TYPE_SRC=char - * @note Destination datatype should be given as a preprocessor argument using -DDATA_TYPE_DST=type. e.g. -DDATA_TYPE_DST=float - * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 - * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: QSYMM8_PER_CHANNEL - * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] output_ptr Pointer to the destination tensor. Supported data types: F16/F32 - * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] scale Pointer to buffer with the per channel quantized scales - */ -__kernel void dequantization_layer_per_channel_nhwc( - TENSOR3D_DECLARATION(input), - TENSOR3D_DECLARATION(output), - __global float *scale) -{ - // Get pixels pointer - Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); - Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); - -#if defined(LAST_ACCESSED_X) - // Check if access on width gets out of bounds - // If it does shift access vector to access elements within bounds - const int xi = (int)(get_global_id(0) * VEC_SIZE); - input.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * input_stride_x; - output.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * output_stride_x; - scale -= max(xi - (int)LAST_ACCESSED_X, 0); - - // Load data - VEC_DATA_TYPE(int, VEC_SIZE) - val = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_SRC *)input.ptr), VEC_DATA_TYPE(int, VEC_SIZE)); - - // Create scale vectors - const VEC_DATA_TYPE(float, VEC_SIZE) - vscale = VLOAD(VEC_SIZE)(0, &scale[xi]); - - // Dequantize - VEC_DATA_TYPE(float, VEC_SIZE) - res = vscale * CONVERT((val), VEC_DATA_TYPE(float, VEC_SIZE)); - - // Store result - VSTORE(VEC_SIZE) - (CONVERT(res, VEC_DATA_TYPE(DATA_TYPE_DST, VEC_SIZE)), 0, (__global DATA_TYPE_DST *)output.ptr); -#else // !defined(LAST_ACCESSED_X) - *((__global DATA_TYPE_DST *)(output.ptr)) = (DATA_TYPE_DST)((float)((int)(*((__global DATA_TYPE_SRC *)(input.ptr)))) * scale[get_global_id(0)]); -#endif // defined(LAST_ACCESSED_X) -} -#endif // defined(VEC_SIZE) && defined(DATA_TYPE_SRC) && defined(DATA_TYPE_DST) -- cgit v1.2.1