101 lines
3.4 KiB
C++
101 lines
3.4 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
|
|
******************************************************************************/
|
|
|
|
//
|
|
// Created by raver119 on 02.11.2017.
|
|
//
|
|
|
|
#include <op_boilerplate.h>
|
|
#if NOT_EXCLUDED(OP_expand_dims)
|
|
|
|
#include <ops/declarable/CustomOperations.h>
|
|
|
|
namespace nd4j {
|
|
namespace ops {
|
|
CUSTOM_OP_IMPL(expand_dims, 1, 1, false, 0, -2) {
|
|
auto input = INPUT_VARIABLE(0);
|
|
auto output = OUTPUT_VARIABLE(0);
|
|
|
|
if (input->isScalar()) {
|
|
output->assign(input);
|
|
return Status::OK();
|
|
}
|
|
|
|
Nd4jLong axis = block.numI() > 0 ? INT_ARG(0) : INPUT_VARIABLE(1)->e<int>(0);
|
|
|
|
if (axis < 0)
|
|
axis += input->rankOf() + 1;
|
|
|
|
REQUIRE_TRUE(axis >= 0 && axis <= input->rankOf()+1, 0, "ExpandDims: axis should be in range of 0...%i in this case, but got %i instead", input->rankOf() + 1, axis);
|
|
|
|
std::vector<Nd4jLong> shape;
|
|
for(int e = 0; e < input->rankOf(); e++)
|
|
shape.emplace_back(input->sizeAt(e));
|
|
|
|
shape.insert(shape.begin() + axis, 1);
|
|
|
|
auto tmp = input->reshape(input->ordering(), shape);
|
|
output->assign(tmp);
|
|
|
|
STORE_RESULT(output);
|
|
|
|
return Status::OK();
|
|
}
|
|
|
|
DECLARE_TYPES(expand_dims) {
|
|
getOpDescriptor()
|
|
->setAllowedInputTypes(nd4j::DataType::ANY)
|
|
->setSameMode(true);
|
|
}
|
|
|
|
DECLARE_SHAPE_FN(expand_dims) {
|
|
auto inShape = inputShape->at(0);
|
|
|
|
// 0D scalar edge case
|
|
if (shape::rank(inShape) == 0) {
|
|
|
|
Nd4jLong x = 1;
|
|
auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShape), 'c', 1, &x);
|
|
return SHAPELIST(newShape);
|
|
}
|
|
|
|
// FIXME: temp workaround for TF
|
|
if (shape::isScalar(inShape)) {
|
|
auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShape), 'c', 2, shape::shapeOf(inShape));
|
|
return SHAPELIST(newShape);
|
|
}
|
|
|
|
auto x_rank = shape::rank(inShape);
|
|
char order = shape::order(inShape);
|
|
|
|
Nd4jLong axis = block.numI() > 0 ? INT_ARG(0) : INPUT_VARIABLE(1)->e<int>(0);
|
|
|
|
if (axis < 0)
|
|
axis += x_rank + 1;
|
|
|
|
std::vector<Nd4jLong> shape;
|
|
for(int e = 0; e < x_rank; e++)
|
|
shape.emplace_back(shape::shapeOf(inShape)[e]);
|
|
|
|
shape.insert(shape.begin() + axis, 1);
|
|
|
|
auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShape), order, shape);
|
|
return SHAPELIST(newShape);
|
|
}
|
|
}
|
|
}
|
|
|
|
#endif |