cavis/libnd4j/include/ops/declarable/generic/shape/transpose.cpp

78 lines
2.4 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 raver119@gmail.com
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_transpose)
#include <ops/declarable/CustomOperations.h>
#include <helpers/ShapeUtils.h>
namespace nd4j {
namespace ops {
//////////////////////////////////////////////////////////////////////////
CUSTOM_OP_IMPL(transpose, 1, 1, false, 0, 0) {
auto x = INPUT_VARIABLE(0);
auto z = OUTPUT_VARIABLE(0);
//Special case: empty.reshape(<other empty shape>) -> return empty
if (x->isEmpty()) {
REQUIRE_TRUE(z->isEmpty(), 0, "TRANSPOSE OP: when input is empty, output must also be empty");
return Status::OK(); //No op
}
if (block.width() == 1 && block.getIArguments()->size() == 0) {
z->assign(x->transpose());
return Status::OK();
}
std::vector<int> permutationVector = block.width() > 1 ? INPUT_VARIABLE(1)->asVectorT<int>() : *block.getIArguments();
z->assign(x->permute(permutationVector));
return Status::OK();
}
DECLARE_TYPES(transpose) {
getOpDescriptor()
->setAllowedInputTypes(nd4j::DataType::ANY)
->setSameMode(true);
}
DECLARE_SHAPE_FN(transpose) {
auto x = INPUT_VARIABLE(0);
if (block.width() == 1 && block.getIArguments()->size() == 0)
return SHAPELIST(ShapeUtils::evalTranspShapeInfo(*x, block.workspace(), true));
std::vector<int> permutationVector = block.width() > 1 ? INPUT_VARIABLE(1)->asVectorT<int>() : *block.getIArguments();
auto outputShapeInfo = ShapeUtils::evalPermShapeInfo(permutationVector.data(), x->rankOf(), *x, block.workspace(), true);
return SHAPELIST(outputShapeInfo);
}
}
}
#endif