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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/l2_normalize.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/l2_normalize.cl')
-rw-r--r-- | src/core/CL/cl_kernels/common/l2_normalize.cl | 189 |
1 files changed, 189 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/common/l2_normalize.cl b/src/core/CL/cl_kernels/common/l2_normalize.cl new file mode 100644 index 0000000000..fbe3406239 --- /dev/null +++ b/src/core/CL/cl_kernels/common/l2_normalize.cl @@ -0,0 +1,189 @@ +/* + * Copyright (c) 2016-2021 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" + +#if defined(VEC_SIZE_X) && defined(VEC_SIZE_LEFTOVER_X) +/** This kernel performs l2 normalization on x-axis + * + * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE_X=size. e.g. -DVEC_SIZE_X=16 + * @note The leftover size in the X dimension shoud be given as preprocessor argument using -DVEC_SIZE_LEFTOVER_X is; x_dimension % VEC_SIZE_X. e.g. -DVEC_SIZE_LEFTOVER_X=1 + * + * @param[in] input_ptr Pointer to the source tensor. Supported data types: F16/F32 + * @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 X processed per workitem(in bytes) + * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] sum_ptr Pointer to the source tensor. Supported data types: F16/F32 + * @param[in] sum_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] sum_step_x sum_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] sum_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] sum_step_y sum_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] sum_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: same as @p input_ptr + * @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_offset_first_element_in_bytes The offset of the first element in the destination tensor + * @param[in] epsilon Epsilon value + */ +__kernel void l2_normalize_x( + IMAGE_DECLARATION(input), + IMAGE_DECLARATION(sum), + IMAGE_DECLARATION(output), + DATA_TYPE epsilon) +{ + // Offset computation + const uint x_offs = max((int)(get_global_id(0) * VEC_SIZE_X - (VEC_SIZE_X - VEC_SIZE_LEFTOVER_X) % VEC_SIZE_X), 0); + + // Address computation + __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y; + __global uchar *sum_addr = sum_ptr + sum_offset_first_element_in_bytes + get_global_id(1) * sum_stride_y; + __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * output_stride_y; + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) + in = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)input_addr); + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) + normalize_value = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X))rsqrt(fmax(*((__global DATA_TYPE *)sum_addr), epsilon)); + + const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) + data0 = in * normalize_value; + + STORE_VECTOR_SELECT(data, DATA_TYPE, output_addr, VEC_SIZE_X, VEC_SIZE_LEFTOVER_X, VEC_SIZE_LEFTOVER_X != 0 && get_global_id(0) == 0); +} + +/** This kernel performs l2 normalization on y-axis. + * + * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE_X=size. e.g. -DVEC_SIZE_X=16 + * @note The leftover size in the X dimension shoud be given as preprocessor argument using -DVEC_SIZE_LEFTOVER_X is; x_dimension % VEC_SIZE_X. e.g. -DVEC_SIZE_LEFTOVER_X=1 + * + * @param[in] input_ptr Pointer to the source tensor. Supported data types: F16/F32 + * @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 Y 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_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] sum_ptr Pointer to the source tensor. Supported data types: F16/F32 + * @param[in] sum_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] sum_step_x sum_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] sum_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] sum_step_y sum_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] sum_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: same as @p input_ptr + * @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_offset_first_element_in_bytes The offset of the first element in the destination tensor + * @param[in] epsilon Epsilon value + */ +__kernel void l2_normalize_y( + IMAGE_DECLARATION(input), + IMAGE_DECLARATION(sum), + IMAGE_DECLARATION(output), + DATA_TYPE epsilon) +{ + // Offset computation + const uint x_offs = max((int)(get_global_id(0) * VEC_SIZE_X - (VEC_SIZE_X - VEC_SIZE_LEFTOVER_X) % VEC_SIZE_X), 0); + + // Address computation + __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y; + __global uchar *sum_addr = sum_ptr + sum_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE); + __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * output_stride_y; + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) + in = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)input_addr); + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) + sums = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)sum_addr); + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) + normalize_value = (VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X))rsqrt(fmax(sums, epsilon)); + + const VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) + data0 = in * normalize_value; + + STORE_VECTOR_SELECT(data, DATA_TYPE, output_addr, VEC_SIZE_X, VEC_SIZE_LEFTOVER_X, VEC_SIZE_LEFTOVER_X != 0 && get_global_id(0) == 0); +} + +/** This kernel performs l2 normalization on z-axis. + * + * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE_X=size. e.g. -DVEC_SIZE_X=16 + * @note The leftover size in the X dimension shoud be given as preprocessor argument using -DVEC_SIZE_LEFTOVER_X is; x_dimension % VEC_SIZE_X. e.g. -DVEC_SIZE_LEFTOVER_X=1 + * + * @param[in] input_ptr Pointer to the source tensor. Supported data types: F16/F32 + * @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 Y 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[in] sum_ptr Pointer to the source tensor. Supported data types: F16/F32 + * @param[in] sum_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] sum_step_x sum_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] sum_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] sum_step_y sum_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] sum_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] sum_step_z sum_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] sum_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: same as @p input_ptr + * @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 destination 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] epsilon Epsilon value + */ +__kernel void l2_normalize_z( + TENSOR3D_DECLARATION(input), + TENSOR3D_DECLARATION(sum), + TENSOR3D_DECLARATION(output), + DATA_TYPE epsilon) +{ + // Offset computation + const uint x_offs = max((int)(get_global_id(0) * VEC_SIZE_X - (VEC_SIZE_X - VEC_SIZE_LEFTOVER_X) % VEC_SIZE_X), 0); + + // Address computation + __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y + get_global_id(2) * input_stride_z; + __global uchar *sum_addr = sum_ptr + sum_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * sum_stride_y; + __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * output_stride_y + get_global_id(2) * output_stride_z; + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) + in = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)input_addr); + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) + sums = VLOAD(VEC_SIZE_X)(0, (__global DATA_TYPE *)sum_addr); + + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X) + data0 = in * ((VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE_X))(rsqrt(fmax(sums, epsilon)))); + + STORE_VECTOR_SELECT(data, DATA_TYPE, output_addr, VEC_SIZE_X, VEC_SIZE_LEFTOVER_X, VEC_SIZE_LEFTOVER_X != 0 && get_global_id(0) == 0); +} +#endif // defined(VEC_SIZE_X) && defined(VEC_SIZE_LEFTOVER_X)
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