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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/
/*
* Copyright (c) 2016-2018 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"
#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)
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