cavis/libnd4j/include/ops/declarable/generic/nn/activations/identity_n.cpp

64 lines
2.0 KiB
C++

/* ******************************************************************************
*
*
* 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.
*
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership.
* 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 sgazeos@gmail.com
//
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_identity_n)
#include <ops/declarable/CustomOperations.h>
namespace sd {
namespace ops {
CUSTOM_OP_IMPL(identity_n, 1, 1, true, 0, 0) {
// just for lulz
if (!block.isInplace()) {
for (Nd4jLong i = 0; i < block.width(); ++i) {
auto x = INPUT_VARIABLE(i);
auto z = OUTPUT_VARIABLE(i);
x->applyTransform(transform::Identity, *z);
}
}
return Status::OK();
}
DECLARE_SHAPE_FN(identity_n) {
auto shapes = SHAPELIST();
for (size_t i = 0; i < inputShape->size(); ++i) {
Nd4jLong* shape;
COPY_SHAPE_EX(inputShape->at(i), shape, block.getWorkspace());
shapes->push_back(CONSTANT(shape));
}
return shapes;
}
DECLARE_TYPES(identity_n) {
getOpDescriptor()
->setAllowedInputTypes(sd::DataType::ANY)
->setAllowedOutputTypes(sd::DataType::ANY);
}
}
}
#endif