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

116 lines
4.3 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
******************************************************************************/
//
// Created by raver119 on 29/10/17.
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_permute)
#include <ops/declarable/CustomOperations.h>
#include <helpers/ShapeUtils.h>
namespace nd4j {
namespace ops {
//////////////////////////////////////////////////////////////////////////
// here iArgs is int vector of ordered set of dimensions to be permuted
CUSTOM_OP_IMPL(permute, 1, 1, true, 0, -2) {
auto x = INPUT_VARIABLE(0);
bool replace = false;
auto arguments = block.getIArguments();
if (block.width() == 2 && arguments->size() == 0) {
auto axis = INPUT_VARIABLE(1);
for (int e = 0; e < axis->lengthOf(); e++) {
int ax = axis->e<int>(e);
if (ax < 0)
ax += x->rankOf();
arguments->emplace_back(ax);
}
replace = true;
} else if (arguments->size() == 0) {
for (int e = x->rankOf() - 1; e >= 0; e--)
arguments->emplace_back(e);
}
// 0D edge case
if (x->rankOf() == 0) {
REQUIRE_TRUE(arguments->size() == 1, 0, "Permute: only one axis is allowed for scalar");
auto output = OUTPUT_VARIABLE(0);
if (!block.isInplace())
output->assign(x);
return Status::OK();
}
if(block.isInplace()) { // in-place
x->permutei(*arguments);
STORE_RESULT(x);
} else {
if (!replace) { // not-in-place
auto output = OUTPUT_VARIABLE(0);
// nd4j_printv("permute shape", *arguments);
auto result = x->permute(*arguments);
output->assign(result);
STORE_RESULT(output);
delete result;
} else {
auto output = OUTPUT_VARIABLE(0); //->dup();
output->assign(x);
output->permutei(*arguments);
//OVERWRITE_RESULT(output);
}
}
return Status::OK();
}
DECLARE_TYPES(permute) {
getOpDescriptor()
->setAllowedInputTypes(0, nd4j::DataType::ANY)
->setAllowedInputTypes(1, {ALL_INTS})
->setSameMode(true);
}
DECLARE_SHAPE_FN(permute) {
auto shapeList = SHAPELIST();
auto arguments = block.getIArguments();
if (shape::rank(inputShape->at(0)) == 0) {
shapeList->push_back(ConstantShapeHelper::getInstance()->scalarShapeInfo(ArrayOptions::dataType(inputShape->at(0))));
} else if (inputShape->size() == 1 && !arguments->empty()) {
shapeList->push_back(ShapeUtils::evalPermShapeInfo(arguments->data(), arguments->size(), *INPUT_VARIABLE(0), block.workspace()));
} else if (inputShape->size() == 2) {
// dead end
shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(inputShape->at(0))));
} else {
int rank = shape::rank(inputShape->at(0));
for (int e = rank - 1; e >= 0; e--)
arguments->emplace_back(e);
shapeList->push_back(ShapeUtils::evalPermShapeInfo(arguments->data(), arguments->size(), *INPUT_VARIABLE(0), block.workspace()));
}
return shapeList;
}
}
}
#endif