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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/helpers/cpu/flatten.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 raver119@gmail.com
//
#include <ops/declarable/helpers/flatten.h>
#if NOT_EXCLUDED(OP_flatten)
namespace sd {
namespace ops {
namespace helpers {
template <typename T>
static void flatten_(std::vector<NDArray *> &inputs, NDArray *output, const char order) {
int numArrays = inputs.size();
std::vector<sd::LongType> offsets(numArrays);
sd::LongType cOffset = 0;
// calculating offsets in output
for (int e = 0; e < numArrays; e++) {
offsets[e] = cOffset;
cOffset += inputs[e]->lengthOf();
}
// actually transferring data
for (sd::LongType e = 0; e < numArrays; e++) {
auto z = reinterpret_cast<T *>(output->bufferWithOffset(offsets[e]));
auto xBuffer = inputs[e]->bufferAsT<T>();
auto xShapeInfo = inputs[e]->shapeInfo();
// Cache shape-related values outside the inner loop
const int xRank = shape::rank(xShapeInfo);
const sd::LongType* xShape = shape::shapeOf(xShapeInfo);
const sd::LongType* xStride = shape::stride(xShapeInfo);
const sd::LongType xLength = inputs[e]->lengthOf();
for (sd::LongType i = 0; i < xLength; i++) {
sd::LongType xOffset;
sd::LongType xCoords[SD_MAX_RANK];
// Use cached shape values for coordinate transforms
INDEX2COORDS(i, xRank, xShape, xCoords);
COORDS2INDEX(xRank, xStride, xCoords, xOffset);
z[i] = xBuffer[xOffset];
}
}
}
void flatten(sd::LaunchContext *context, std::vector<NDArray *> &inputs, NDArray *output, char order) {
BUILD_SINGLE_SELECTOR(output->dataType(), flatten_, (inputs, output, order), SD_COMMON_TYPES);
}
} // namespace helpers
} // namespace ops
} // namespace sd
#endif