cavis/libnd4j/include/ops/declarable/helpers/cpu/cross.cpp

56 lines
1.7 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author GS (sgazeos@gmail.com), created on 10/1/2018
//
#include<ops/declarable/helpers/cross.h>
#include <helpers/ShapeUtils.h>
#include <ops/declarable/CustomOperations.h>
namespace sd {
namespace ops {
namespace helpers {
void crossBatched(sd::LaunchContext * context, NDArray *a, NDArray *b, NDArray *o) {
auto _a = a->reshape(a->ordering(), {-1, 3});
auto _b = b->reshape(b->ordering(), {-1, 3});
auto _o = o->reshape(o->ordering(), {-1, 3}, false);
auto tadsA = _a.allTensorsAlongDimension({1});
auto tadsB = _b.allTensorsAlongDimension({1});
auto tadsO = _o.allTensorsAlongDimension({1});
int tads = tadsA.size();
auto func = PRAGMA_THREADS_FOR {
for (auto e = start; e < stop; e++) {
auto a_ = tadsA.at(e);
auto b_ = tadsB.at(e);
auto o_ = tadsO.at(e);
helpers::cross(context, a_, b_, o_);
}
};
samediff::Threads::parallel_tad(func, 0, tads);
}
}
}
}