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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/generic/transforms/stack.cpp
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2026-07-13 12:47:05 +08:00

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/* ******************************************************************************
*
*
* 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.
*
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership.
* 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 <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_stack)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/stack.h>
namespace sd {
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 (size_t i = 0; i < block.width() - 1; ++i)
REQUIRE_TRUE(shape::equalsSoft((INPUT_VARIABLE(i))->shapeInfo(), (INPUT_VARIABLE(i + 1))->shapeInfo()), 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 (size_t i = 0; i < block.width(); ++i) inArrs[i] = INPUT_VARIABLE(i);
//empty arrays are a no op
if(block.width() >= 1 && !inArrs[0]->isEmpty())
helpers::stack(block.launchContext(), inArrs, *output, dim);
return Status::OK;
}
DECLARE_SYN(pack, stack);
DECLARE_SYN(Pack, stack);
DECLARE_TYPES(stack) {
getOpDescriptor()->setAllowedInputTypes(ANY)->setAllowedOutputTypes(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);
// the rank of output ShapeInfo is larger by one compared to input ShapeInfo
std::vector<LongType> outShape(inShapeInfo + 1, inShapeInfo + 1 + rank);
// insert (int) block.width() at dim position of input shape to get output shape
outShape.insert(outShape.begin() + LongType(dim), (LongType)block.width());
auto ret = SHAPELIST(ConstantShapeHelper::getInstance().bufferForShapeInfo(ArrayOptions::dataType(inShapeInfo),
shape::order(inShapeInfo),
outShape)->primary());
return ret;
}
} // namespace ops
} // namespace sd
#endif