cavis/libnd4j/include/ops/declarable/generic/transforms/unstack.cpp

129 lines
4.2 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 <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_unstack)
#include <ops/declarable/CustomOperations.h>
#include<ops/declarable/helpers/stack.h>
namespace sd {
namespace ops {
CUSTOM_OP_IMPL(unstack, 1, -1, false, 0, 1) {
auto input = INPUT_VARIABLE(0);
auto dim = INT_ARG(0);
if (dim < 0)
dim += input->rankOf();
REQUIRE_TRUE(dim < input->rankOf(), 0, "Unstack dimension should be lower then rank of input %i, but got dimension=%i !", input->rankOf(), dim);
REQUIRE_TRUE(dim >= 0, 0, "Unstack dimension should be non-negative value, but got %i !", dim);
if(input->isEmpty())
return Status::OK();
std::vector<NDArray*> outArrs(input->sizeAt(dim));
for(uint i = 0; i < outArrs.size(); ++i)
outArrs[i] = OUTPUT_VARIABLE(i);
helpers::unstack(block.launchContext(), *input, outArrs, dim);
return Status::OK();
}
DECLARE_SYN(unpack, unstack);
DECLARE_SHAPE_FN(unstack) {
auto inShapeInfo = inputShape->at(0);
auto dim = INT_ARG(0);
if (dim < 0)
dim += shape::rank(inShapeInfo);
REQUIRE_TRUE(dim < inShapeInfo[0], 0, "UNSTACK op: dimension should be lower then rank of input %i, but got dimension=%i !", inShapeInfo[0], dim);
REQUIRE_TRUE(dim >= 0, 0, "UNSTACK op: dimension should be non-negative value, but got %i !", dim);
if(ArrayOptions::arrayType(inShapeInfo) == ArrayType::EMPTY) {
if(shape::shapeOf(inShapeInfo)[dim] == 0)
return SHAPELIST();
const Nd4jLong numTads = shape::shapeOf(inShapeInfo)[dim];
std::vector<Nd4jLong> outShape;
for(uint i = 0; i < shape::rank(inShapeInfo); ++i)
if(i != dim)
outShape.push_back(shape::shapeOf(inShapeInfo)[i]);
auto result = SHAPELIST();
for(uint i = 0; i < numTads; ++i)
result->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShapeInfo), shape::order(inShapeInfo), outShape));
return result;
}
std::vector<int> dims = ShapeUtils::evalDimsToExclude(inShapeInfo[0], {dim});
if (dims.size() == 0 && shape::rank(inShapeInfo) == 1) { // split vector into lenthOf scalars
auto result = SHAPELIST();
for (Nd4jLong e = 0; e < shape::length(inShapeInfo); e++)
result->push_back(ConstantShapeHelper::getInstance()->scalarShapeInfo(ArrayOptions::dataType(inShapeInfo)));
return result;
}
std::vector<Nd4jLong> subArrShape(shape::rank(inShapeInfo) - 1);
for(uint j = 0, i = 0; i < shape::rank(inShapeInfo); i++)
if(i != dim)
subArrShape[j++] = shape::shapeOf(inShapeInfo)[i];
// remove leading and trailing 1
if (inShapeInfo[0] == 2 && subArrShape.size() == 2) {
if (subArrShape[0] == 1)
subArrShape.erase(subArrShape.begin());
else if (subArrShape[1] == 1)
subArrShape.erase(subArrShape.end());
}
auto result = SHAPELIST();
for (int e = 0; e < shape::shapeOf(inShapeInfo)[dim]; e++) {
auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShapeInfo), shape::order(inShapeInfo), subArrShape);
result->push_back(newShape);
}
return result;
}
DECLARE_TYPES(unstack) {
getOpDescriptor()
->setAllowedInputTypes({ALL_FLOATS, ALL_INTS})
->setSameMode(true);
}
}
}
#endif