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Diffstat (limited to 'libs/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl')
-rw-r--r-- | libs/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl | 84 |
1 files changed, 84 insertions, 0 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl b/libs/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl new file mode 100644 index 000000000..bea61f53e --- /dev/null +++ b/libs/ARMComputeEx/src/core/CL/cl_kernels/binary_logical_op.cl @@ -0,0 +1,84 @@ +/* + * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved + * Copyright (c) 2016-2018 ARM Limited. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +#include "helpers.h" + +#ifndef VEC_SIZE +#define VEC_SIZE 1 +#endif + +#if defined(OP_CODE) && defined(DATA_TYPE) +/** returns truth value of the two input tensors for BINARY LOGICAL OP. + * where BINARY LOGICAL OP can be AND, OR. + * + * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=uchar + * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 + * @attention Operation type(code) specifying which operation to perform should be passed as preprocessor argument using + * -DOP_CODE = number. e.g. -DOP_CODE=1 + * + * @param[in] input1_ptr Pointer to the source tensor. Supported data types: QASYMM8 + * @param[in] input1_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] input1_step_x input1_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] input1_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] input1_step_y input1_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] input1_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] input1_step_z input1_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] input1_offset_first_element_in_bytes The offset of the first element in the source tensor + * + * @param[in] input2_ptr Pointer to the source tensor.Supported data types: QASYMM8 + * @param[in] input2_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] input2_step_x input2_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] input2_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] input2_step_y input2_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] input2_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] input2_step_z input2_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] input2_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: QASYMM8 + * @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) + */ +__kernel void binary_logical_op( + TENSOR3D_DECLARATION(input1), + TENSOR3D_DECLARATION(input2), + TENSOR3D_DECLARATION(output)) +{ + Tensor3D input1 = CONVERT_TO_TENSOR3D_STRUCT(input1); + Tensor3D input2 = CONVERT_TO_TENSOR3D_STRUCT(input2); + Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); + + #if OP_CODE == 1 // LOGICAL AND + VSTORE(VEC_SIZE) + (CONVERT(VLOAD(VEC_SIZE) + (0, (__global DATA_TYPE *)input1.ptr) && VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input2.ptr), + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)), 0, (__global DATA_TYPE *)output.ptr); + + #elif OP_CODE == 2 // LOGICAL OR + VSTORE(VEC_SIZE) + (CONVERT(VLOAD(VEC_SIZE) + (0, (__global DATA_TYPE *)input1.ptr) || VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input2.ptr), + VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)), 0, (__global DATA_TYPE *)output.ptr); + + #else // OP NOT SUPPORTED + return + + #endif +} +#endif //if defined(OP_CODE) && defined(DATA_TYPE) |