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Diffstat (limited to 'src/core/CL/cl_kernels/l2_normalize.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/l2_normalize.cl | 164 |
1 files changed, 0 insertions, 164 deletions
diff --git a/src/core/CL/cl_kernels/l2_normalize.cl b/src/core/CL/cl_kernels/l2_normalize.cl deleted file mode 100644 index 70b8b363fa..0000000000 --- a/src/core/CL/cl_kernels/l2_normalize.cl +++ /dev/null @@ -1,164 +0,0 @@ -/* - * Copyright (c) 2016-2019 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 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 The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32 - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 - * @param[in] src_stride_x Stride of the source tensor 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 tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along X processed per workitem(in bytes) - * @param[in] src_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] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor 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 tensor 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 tensor - * @param[in] epsilon Epsilon value - */ -__kernel void l2_normalize_x( - IMAGE_DECLARATION(src), - IMAGE_DECLARATION(sum), - IMAGE_DECLARATION(dst), - DATA_TYPE epsilon) -{ - Image src = CONVERT_TO_IMAGE_STRUCT(src); - Image sum = CONVERT_TO_IMAGE_STRUCT(sum); - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - VEC_DATA_TYPE(DATA_TYPE, 16) - in = vload16(0, (__global DATA_TYPE *)src.ptr); - VEC_DATA_TYPE(DATA_TYPE, 16) - normalize_value = (VEC_DATA_TYPE(DATA_TYPE, 16))rsqrt(fmax(((__global DATA_TYPE *)sum.ptr)[0], epsilon)); - - vstore16(in * normalize_value, 0, (__global DATA_TYPE *)dst.ptr); -} - -/** 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 The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32 - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along X processed per workitem(in bytes) - * @param[in] src_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] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor 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 tensor 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 tensor - * @param[in] epsilon Epsilon value - */ -__kernel void l2_normalize_y( - IMAGE_DECLARATION(src), - IMAGE_DECLARATION(sum), - IMAGE_DECLARATION(dst), - DATA_TYPE epsilon) -{ - Image src = CONVERT_TO_IMAGE_STRUCT(src); - Image sum = CONVERT_TO_IMAGE_STRUCT(sum); - Image dst = CONVERT_TO_IMAGE_STRUCT(dst); - - VEC_DATA_TYPE(DATA_TYPE, 16) - in = vload16(0, (__global DATA_TYPE *)src.ptr); - VEC_DATA_TYPE(DATA_TYPE, 16) - sums = vload16(0, (__global DATA_TYPE *)sum.ptr); - - VEC_DATA_TYPE(DATA_TYPE, 16) - normalize_value = (VEC_DATA_TYPE(DATA_TYPE, 16))rsqrt(fmax(sums, epsilon)); - - vstore16(in * normalize_value, 0, (__global DATA_TYPE *)dst.ptr); -} -/** 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 The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32 - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along X 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 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] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor 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 tensor 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 destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * 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 tensor - * @param[in] epsilon Epsilon value - */ -__kernel void l2_normalize_z( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(sum), - TENSOR3D_DECLARATION(dst), - DATA_TYPE epsilon) -{ - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); - Tensor3D sum = CONVERT_TO_TENSOR3D_STRUCT(sum); - Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); - - VEC_DATA_TYPE(DATA_TYPE, 16) - in = vload16(0, (__global DATA_TYPE *)src.ptr); - VEC_DATA_TYPE(DATA_TYPE, 16) - sums = vload16(0, (__global DATA_TYPE *)sum.ptr); - - VEC_DATA_TYPE(DATA_TYPE, 16) - normalize_value = (VEC_DATA_TYPE(DATA_TYPE, 16))rsqrt(fmax(sums, epsilon)); - - vstore16(in * normalize_value, 0, (__global DATA_TYPE *)dst.ptr); -}
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