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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/generic/transforms/pad.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 Shyrma Yurii (iuriish@yahoo.com), created on 06.11.2017.
//
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_pad)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/transforms.h>
#include <numeric>
namespace sd {
namespace ops {
//////////////////////////////////////////////////////////////////////////
CUSTOM_OP_IMPL(pad, 2, 1, false, 0, 1) {
auto input = INPUT_VARIABLE(0);
auto paddings = INPUT_VARIABLE(1);
auto output = OUTPUT_VARIABLE(0);
const int rank = input->rankOf();
// input validation
std::vector<sd::LongType> expectedPaddingsShape = {rank, 2};
std::vector<sd::LongType> *currentPaddingsShape = paddings->getShapeAsVector();
REQUIRE_TRUE(expectedPaddingsShape == *currentPaddingsShape, 0,
"PAD op: wrong shape of paddings array, expected is %s, but got %s instead !",
ShapeUtils::shapeAsString(expectedPaddingsShape).c_str(),
ShapeUtils::shapeAsString(*currentPaddingsShape).c_str());
NDArray padValue(input->dataType(), block.launchContext());
// in case of REFLECT and SYMMETRIC modes paddings must obey additional shape requirements
if (INT_ARG(0) == 0) { // CONSTANT mode
if (block.width() > 2) {
REQUIRE_TRUE(
input->dataType() == INPUT_VARIABLE(2)->dataType(), 0,
"PAD op: data types of input and padValue arrays should be the same but got %i and %i correspondingly !",
input->dataType(), INPUT_VARIABLE(2)->dataType());
auto get = INPUT_VARIABLE(2)->e(0);
padValue.assign(&get);
} else if (!block.getTArguments()->empty())
padValue = T_ARG(0);
} else if (INT_ARG(0) == 1) { // REFLECT mode
for (int dim = 0; dim < rank; ++dim)
REQUIRE_TRUE(paddings->e<sd::LongType>(dim, 0) <= (input->shapeOf()[dim] - 1) &&
paddings->e<sd::LongType>(dim, 1) <= (input->shapeOf()[dim] - 1),
0, "PAD op: wrong content of paddings array for REFLECT mode !");
}
if (INT_ARG(0) == 2) { // SYMMETRIC mode
for (int dim = 0; dim < rank; ++dim)
REQUIRE_TRUE(paddings->e<sd::LongType>(dim, 0) <= input->shapeOf()[dim] &&
paddings->e<sd::LongType>(dim, 1) <= input->shapeOf()[dim],
0, "PAD op: wrong content of paddings array for SYMMETRIC mode !");
}
// CONSTANT->0, REFLECT->1, SYMMETRIC->2
REQUIRE_TRUE(
INT_ARG(0) >= 0 && INT_ARG(0) <= 2, 0,
"PAD op: unknown padding mode, there are only three possible legal values -> 0,1,2, but got %i instead !",
INT_ARG(0));
helpers::pad(block.launchContext(), INT_ARG(0), *input, *paddings, *output, padValue);
delete currentPaddingsShape;
return sd::Status::OK;
}
DECLARE_TYPES(pad) {
getOpDescriptor()
->setAllowedInputTypes(0, sd::DataType::ANY)
->setAllowedInputTypes(1, {DataType::INT32, DataType::INT64}) // INT32 with TF
->setSameMode(true);
}
DECLARE_SHAPE_FN(pad) {
// check shape of paddings
auto inputShapeInfo = inputShape->at(0);
auto paddings = INPUT_VARIABLE(1);
const int rank = inputShapeInfo[0];
if(rank < 0 || rank > SD_MAX_RANK) {
THROW_EXCEPTION("PAD op: Bad shape buffer. Likely corrupt. Please ensure buffer was not deallocated.");
}
// paddings validation
const std::vector<sd::LongType> expectedPaddingsShape = {rank, 2};
const std::vector<sd::LongType> *currentPaddingsShape = paddings->getShapeAsVector();
REQUIRE_TRUE(expectedPaddingsShape == *currentPaddingsShape, 0,
"PAD op: wrong shape of paddings array, expected is %s, but got %s instead !",
ShapeUtils::shapeAsString(expectedPaddingsShape).c_str(),
ShapeUtils::shapeAsString(*currentPaddingsShape).c_str());
delete currentPaddingsShape;
sd::LongType* outShapeInfo = nullptr;
ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(rank), sd::LongType);
outShapeInfo[0] = rank;
for (int i = 1; i <= rank; ++i)
outShapeInfo[i] = inputShapeInfo[i] + paddings->e<sd::LongType>(i - 1, 0) + paddings->e<sd::LongType>(i - 1, 1);
ShapeUtils::updateStridesAndType(outShapeInfo, inputShapeInfo, shape::order(inputShapeInfo));
auto ret = SHAPELIST(ConstantShapeHelper::getInstance().bufferForShapeInfo(outShapeInfo)->primary());
RELEASE(outShapeInfo, block.getWorkspace());
return ret;
}
} // namespace ops
} // namespace sd
#endif