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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/generic/random/random_shuffle.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 26.01.2018
//
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_random_shuffle)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/transforms.h>
namespace sd {
namespace ops {
OP_IMPL(random_shuffle, 1, 1, true) {
auto input = INPUT_VARIABLE(0);
const bool isInplace = block.isInplace();
auto output = isInplace ? nullptr : OUTPUT_VARIABLE(0);
// sd::random::RandomBuffer* rng = block.getRNG();
RandomGenerator rng = block.randomGenerator();
// REQUIRE_TRUE(rng != nullptr, 0, "RANDOM_SHUFFLE op: RNG should be defined in Graph !");
helpers::randomShuffle(block.launchContext(), *input, *output, rng, isInplace);
return Status::OK;
}
DECLARE_TYPES(random_shuffle) { getOpDescriptor()->setAllowedInputTypes(ANY)->setSameMode(true); }
} // namespace ops
} // namespace sd
#endif