cavis/libnd4j/include/ops/declarable/generic/parity_ops/stack.cpp

109 lines
3.9 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 Yurii Shyrma (iuriish@yahoo.com), created on 01.11.2017.
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_stack)
#include <ops/declarable/CustomOperations.h>
#include<ops/declarable/helpers/stack.h>
namespace nd4j {
namespace ops {
CUSTOM_OP_IMPL(stack, -1, 1, false, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto output = OUTPUT_VARIABLE(0);
int dim = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0;
if(dim < 0)
dim += input->rankOf() + 1;
// no-op in case of empty output array
if (output->isEmpty())
return Status::OK();
// input validation
// check whether shapes of all input array are the same
for (int i = 0; i < (int) block.width() - 1; ++i)
REQUIRE_TRUE(shape::equalsSoft((INPUT_VARIABLE(i))->getShapeInfo(), (INPUT_VARIABLE(i+1))->getShapeInfo()), 0, "STACK op: the shapes of all input arrays must be the same !");
REQUIRE_TRUE(dim <= input->rankOf(), 0, "STACK op: the input dimension parameter must be <= rank of input arrays shapes (rank=%i), but got %i instead !", input->shapeOf(), dim);
std::vector<NDArray*> inArrs(block.width());
for(int i = 0; i < block.width(); ++i)
inArrs[i] = INPUT_VARIABLE(i);
helpers::stack(block.launchContext(), inArrs, output, dim);
return Status::OK();
}
DECLARE_SYN(pack, stack);
DECLARE_SYN(Pack, stack);
DECLARE_TYPES(stack) {
//getOpDescriptor()->setSameMode(true);
getOpDescriptor()
->setAllowedInputTypes(DataType::ANY)
->setAllowedOutputTypes(DataType::ANY);
}
DECLARE_SHAPE_FN(stack) {
// check whether input dimension is within rank range
auto inShapeInfo = inputShape->at(0);
int rank = shape::rank(inShapeInfo);
int dim = block.getIArguments()->size() > 0 ? INT_ARG(0) : 0;
if(dim < 0 )
dim += rank + 1;
REQUIRE_TRUE(dim <= inShapeInfo[0], 0, "STACK op: the input dimension parameter must be <= rank of input arrays shapes (rank=%i), but got %i instead !", inShapeInfo[0], dim);
// empty input arrays require some special handling
if (shape::isEmpty(inShapeInfo)) {
switch (rank) {
case 0: {
// we're going to return rank 1 here
if (block.width() == 1) {
return SHAPELIST(ConstantShapeHelper::getInstance()->vectorShapeInfo(0, ArrayOptions::dataType(inShapeInfo)));
} else {
return SHAPELIST(ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShapeInfo), 'c', {(Nd4jLong) block.width(), 0}));
}
}
}
}
if(rank == 0) {
return SHAPELIST(ConstantShapeHelper::getInstance()->vectorShapeInfo(block.width(), ArrayOptions::dataType(inShapeInfo)));
}
//the rank of output ShapeInfo is larger by one compared to input ShapeInfo
std::vector<Nd4jLong> outShape(inShapeInfo + 1, inShapeInfo + 1 + rank);
// insert (int) block.width() at dim position of input shape to get output shape
outShape.insert(outShape.begin() + Nd4jLong(dim), (Nd4jLong) block.width());
return SHAPELIST(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(ArrayOptions::dataType(inShapeInfo), shape::order(inShapeInfo), outShape)));
}
}
}
#endif