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author | giuros01 <giuseppe.rossini@arm.com> | 2018-11-20 18:34:46 +0000 |
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committer | Giuseppe Rossini <giuseppe.rossini@arm.com> | 2018-11-30 18:00:25 +0000 |
commit | 164a2727d3bbce0e575d24b7db787c85e2e2c203 (patch) | |
tree | 983fc1f519032ac9a056e19f87e32597ca1874a1 /src/core/CL/cl_kernels/elementwise_operation.cl | |
parent | 7930db48e12dd3a14c1971f41f5b83527efea281 (diff) | |
download | ComputeLibrary-164a2727d3bbce0e575d24b7db787c85e2e2c203.tar.gz |
COMPMID-1717: CL: Implement Maximum, Minimum, SquaredDifference
Change-Id: Ice653e48211053bd3cd20a693bd76de6b4efc370
Reviewed-on: https://review.mlplatform.org/270
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/elementwise_operation.cl')
-rw-r--r-- | src/core/CL/cl_kernels/elementwise_operation.cl | 98 |
1 files changed, 98 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/elementwise_operation.cl b/src/core/CL/cl_kernels/elementwise_operation.cl new file mode 100644 index 0000000000..00d7ed3ba1 --- /dev/null +++ b/src/core/CL/cl_kernels/elementwise_operation.cl @@ -0,0 +1,98 @@ +/* + * Copyright (c) 2018 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" + +/** List of all the operations supported by this kernel. + * @note ADD and SUB operations, when executed on integers, support saturation */ +#ifdef SATURATE +#define ADD(x, y) add_sat((x), (y)) +#define SUB(x, y) sub_sat((x), (y)) +#else /* SATURATE */ +#define ADD(x, y) (x) + (y) +#define SUB(x, y) (x) - (y) +#endif /* SATURATE */ + +#define MAX(x, y) max(x, y) +#define MIN(x, y) min(x, y) +#define SQUARED_DIFF(x, y) (x - y) * (x - y) +#define DIV(x, y) (x / y) + +#define OP_FUN_NAME_STR(op) elementwise_operation_##op +#define OP_FUN_NAME(op) OP_FUN_NAME_STR(op) + +#if defined(OP) && defined(DATA_TYPE_IN1) && defined(DATA_TYPE_IN2) && defined(DATA_TYPE_OUT) && defined(VEC_SIZE) +/** This function executes an element-wise operation among two tensors. + * + * @attention The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT: + * e.g. -DDATA_TYPE_IN1=uchar -DDATA_TYPE_IN2=uchar -DDATA_TYPE_OUT=short + * @attention To perform saturating operation -DSATURATE has to be passed to the compiler otherwise wrapping policy will be used. + * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 + * @attention The element-wise operation to be executed has to be passed at compile time using -DOP (e.g., -DOP=ADD) + * + * @param[in] in1_ptr Pointer to the source tensor. Supported data types: U8/S16/F16/F32 + * @param[in] in1_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] in1_step_x in1_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] in1_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] in1_step_y in1_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] in1_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] in1_step_z in1_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] in1_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] in2_ptr Pointer to the source tensor. Supported data types: U8/S16/F16/F32 + * @param[in] in2_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] in2_step_x in2_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] in2_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] in2_step_y in2_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] in2_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] in2_step_z in2_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] in2_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] out_ptr Pointer to the destination tensor. Supported data types: U8 (only if both inputs are U8), S16/F16/F32 + * @param[in] out_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] out_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] out_step_y out_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] out_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] out_step_z out_stride_z * 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 tensor + */ +__kernel void OP_FUN_NAME(OP)( + TENSOR3D_DECLARATION(in1), + TENSOR3D_DECLARATION(in2), + TENSOR3D_DECLARATION(out)) +{ + // Get pixels pointer + Tensor3D in1 = CONVERT_TO_TENSOR3D_STRUCT(in1); + Tensor3D in2 = CONVERT_TO_TENSOR3D_STRUCT(in2); + Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out); + + // Load values + VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE) + in_a = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN1 *)in1.ptr), VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)); + VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE) + in_b = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(DATA_TYPE_OUT, VEC_SIZE)); + + // Calculate and store result + VSTORE(VEC_SIZE) + (OP(in_a, in_b), 0, (__global DATA_TYPE_OUT *)out.ptr); +} +#endif /* defined(DATA_TYPE_IN1) && defined(DATA_TYPE_IN2) && defined(DATA_TYPE_OUT) && defined(VEC_SIZE) */ |