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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/scale_quantized.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/scale_quantized.cl')
-rw-r--r-- | src/core/CL/cl_kernels/scale_quantized.cl | 185 |
1 files changed, 0 insertions, 185 deletions
diff --git a/src/core/CL/cl_kernels/scale_quantized.cl b/src/core/CL/cl_kernels/scale_quantized.cl deleted file mode 100644 index 010e4ed57a..0000000000 --- a/src/core/CL/cl_kernels/scale_quantized.cl +++ /dev/null @@ -1,185 +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_asymm.h" -#include "warp_helpers_quantized.h" - -/** Transforms four 2D coordinates. This is used to map the output coordinates to the input coordinates. - * - * @param[in] coord 2D coordinates to transform. - * @param[in] scale input/output scale ratio - * - * @return a float8 containing 4 2D transformed values in the input image. - */ -inline const float8 transform_bilinear_quantized(const float2 coord, const float2 scale) -{ - const float4 in_x_coords = (float4)(coord.s0, 1 + coord.s0, 2 + coord.s0, 3 + coord.s0); -#ifdef SAMPLING_POLICY_TOP_LEFT - const float4 new_x = in_x_coords * (float4)(scale.s0); - const float4 new_y = (float4)(coord.s1 * scale.s1); - return (float8)(new_x.s0, new_y.s0, new_x.s1, new_y.s1, new_x.s2, new_y.s2, new_x.s3, new_y.s3); -#elif SAMPLING_POLICY_CENTER - const float4 new_x = (in_x_coords + ((float4)(0.5f))) * (float4)(scale.s0) - (float4)(0.5f); - const float4 new_y = (float4)((coord.s1 + 0.5f) * scale.s1 - 0.5f); - return (float8)(new_x.s0, new_y.s0, new_x.s1, new_y.s1, new_x.s2, new_y.s2, new_x.s3, new_y.s3); -#else /* SAMPLING_POLICY */ -#error("Unsupported sampling policy"); -#endif /* SAMPLING_POLICY */ -} - -/** Performs an affine transformation on an image interpolating with the BILINEAR method. - * - * @note Sampling policy to used is passed as -DSAMPLING_POLICY_(TYPE) e.g. -DSAMPLING_POLICY_TOP_LEFT - * @note Scale value for QASYMM8 data type to used is passed as -DSCALE=<VALUE> e.g. -DSCALE=0.5 - * @note Offset value for QASYMM8 data type to used is passed as -DOFFSET=<VALUE> e.g. -DOFFSET=1 - * - * @param[in] in_ptr Pointer to the source image. Supported data types: QASYMM8. - * @param[in] in_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] in_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] in_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image - * @param[out] out_ptr Pointer to the destination image. Supported data types: U8, S16. (Must be the same as the input) - * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes) - * @param[in] out_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes) - * @param[in] out_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image - * @param[in] input_width Input image width - * @param[in] input_height Input image height - * @param[in] scale_x The scale factor along x dimension - * @param[in] scale_y The scale factor along y dimension - */ -__kernel void scale_bilinear_quantized_nchw( - IMAGE_DECLARATION(in), - IMAGE_DECLARATION(out), - const float input_width, - const float input_height, - const float scale_x, - const float scale_y) -{ - Image in = CONVERT_TO_IMAGE_STRUCT_NO_STEP(in); - Image out = CONVERT_TO_IMAGE_STRUCT(out); - const float2 r = (float2)(scale_x, scale_y); - const float8 tc = transform_bilinear_quantized(get_current_coords_quantized(), r); - vstore4(bilinear_interpolate_with_border_quantized(&in, tc, input_width, input_height, BORDER_SIZE, SCALE, OFFSET), 0, (__global DATA_TYPE *)out.ptr); -} - -#if defined(DEPTH_OUT) -/** Performs scale on an image interpolating with the BILINEAR method. (NHWC) - * - * @note Sampling policy to be used is passed as -DSAMPLING_POLICY_(TYPE) e.g. -DSAMPLING_POLICY_TOP_LEFT - * @note Scale value for QASYMM8 data type to used is passed as -DSCALE=<VALUE> e.g. -DSCALE=0.5 - * @note Offset value for QASYMM8 data type to used is passed as -DOFFSET=<VALUE> e.g. -DOFFSET=1 - * @note If border mode replicate is used, is should be passed as -DBORDER_MODE_REPLICATE - * @note Output tensor's depth should be given as a preprocessor argument using -DDEPTH_OUT=size. e.g. -DDEPTH=16 - * @note The value to be used at the edges of the images shoud be given as a preprocessor argument using -DCONSTANT_VALUE=value. - * - * @param[in] in_ptr Pointer to the source image. Supported data types: QASYMM8. - * @param[in] in_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] in_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] in_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] in_stride_z Stride of the source image in Z dimension (in bytes) - * @param[in] in_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image - * @param[out] out_ptr Pointer to the destination image. Supported data types: same as @p in_ptr - * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes) - * @param[in] out_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes) - * @param[in] out_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] out_stride_z Stride of the destination image in Z dimension (in bytes) - * @param[in] out_step_z dst_stride_y * number of elements along Z processed per workitem(in bytes) - * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image - * @param[in] input_width Input image width - * @param[in] input_height Input image height - * @param[in] scale_x The scale factor along x dimension - * @param[in] scale_y The scale factor along y dimension - * @param[in] constant_border_value Constant border value to use - */ -__kernel void scale_bilinear_quantized_nhwc( - TENSOR4D_DECLARATION(in), - TENSOR4D_DECLARATION(out), - const float input_width, - const float input_height, - const float scale_x, - const float scale_y) -{ - Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(in, 0); - Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(out, DEPTH_OUT); - -#ifdef SAMPLING_POLICY_TOP_LEFT - const float new_x = get_global_id(1) * scale_x; - const float new_y = (get_global_id(2) % DEPTH_OUT) * scale_y; -#elif SAMPLING_POLICY_CENTER - const float new_x = (get_global_id(1) + 0.5f) * scale_x - 0.5f; - const float new_y = ((get_global_id(2) % DEPTH_OUT) + 0.5f) * scale_y - 0.5f; -#else /* SAMPLING_POLICY */ -#error("Unsupported sampling policy"); -#endif /* SAMPLING_POLICY */ - - const float new_xf = floor(new_x); - const float new_yf = floor(new_y); - const float clamped_x = clamp(new_xf, 0.0f, input_width - 1); - const float clamped_x1 = clamp(new_xf + 1, 0.0f, input_width - 1); - const float clamped_y = clamp(new_yf, 0.0f, input_height - 1); - const float clamped_y1 = clamp(new_yf + 1, 0.0f, input_height - 1); - -#ifndef BORDER_MODE_REPLICATE - const bool check_x = (0.f <= new_xf && new_xf < input_width); - const bool check_x1 = (-1.f <= new_xf && new_xf < input_width - 1); - const bool check_y = (0.f <= new_yf && new_yf < input_height); - const bool check_y1 = (-1.f <= new_yf && new_yf < input_height - 1); - const int ins_0 = select((int)(CONSTANT_VALUE), (int)(*((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x), convert_int(clamped_y), - (get_global_id(2) / DEPTH_OUT)))), - check_x && check_y); - const int ins_1 = select((int)(CONSTANT_VALUE), (int)(*((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x1), convert_int(clamped_y), - (get_global_id(2) / DEPTH_OUT)))), - check_x1 && check_y); - const int ins_2 = select((int)(CONSTANT_VALUE), (int)(*((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x), convert_int(clamped_y1), - (get_global_id(2) / DEPTH_OUT)))), - check_x && check_y1); - const int ins_3 = select((int)(CONSTANT_VALUE), (int)(*((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x1), convert_int(clamped_y1), - (get_global_id(2) / DEPTH_OUT)))), - check_x1 && check_y1); - int4 ins = (int4)(ins_0, ins_1, ins_2, ins_3); -#else /* BORDER_MODE_REPLICATE */ - int4 ins = (int4)(*((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x), convert_int(clamped_y), (get_global_id(2) / DEPTH_OUT))), - *((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x1), convert_int(clamped_y), (get_global_id(2) / DEPTH_OUT))), - *((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x), convert_int(clamped_y1), (get_global_id(2) / DEPTH_OUT))), - *((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x1), convert_int(clamped_y1), (get_global_id(2) / DEPTH_OUT)))); -#endif /* BORDER_MODE_REPLICATE */ - - const float a = new_x - new_xf; - const float b = 1.f - a; - const float a1 = new_y - new_yf; - const float b1 = 1.f - a1; - const float4 insf32 = convert_float4(ins - (int4)OFFSET) * (float4)SCALE; - - const float fr = ((insf32.s0 * b * b1) + (insf32.s1 * a * b1) + (insf32.s2 * b * a1) + (insf32.s3 * a * a1)); - - DATA_TYPE res = CONVERT_SAT(convert_int_sat_rtp(fr / SCALE) + OFFSET, DATA_TYPE); - - *((__global DATA_TYPE *)out.ptr) = res; -} -#endif /* defined(DEPTH_OUT) */
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