libnd4j/include/ops/declarable/generic/list/write_list.cpp
/* ******************************************************************************
*
*
* 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 <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_write_list)
#include <ops/declarable/CustomOperations.h>
namespace sd {
namespace ops {
LIST_OP_IMPL(write_list, 2, 1, 0, -2) {
auto list = INPUT_LIST(0);
auto output = OUTPUT_VARIABLE(0);
// nd4j mode
if (block.width() >= 3) {
auto input = INPUT_VARIABLE(block.width() - 2);
auto idx = INPUT_VARIABLE(block.width() - 1);
REQUIRE_TRUE(idx->isScalar(), 0, "Index should be Scalar");
sd::Status result = list->write(idx->e<int>(0), new NDArray(input->dup()));
auto res = NDArrayFactory::create_(list->counter(), block.launchContext());
setupResult(res, block);
// OVERWRITE_RESULT(res);
return result;
} else if (block.getIArguments()->size() == 1) {
auto input = INPUT_VARIABLE(1);
auto idx = INT_ARG(0);
sd::Status result = list->write(idx, new NDArray(input->dup()));
auto res = NDArrayFactory::create_(list->counter(), block.launchContext());
setupResult(res, block);
return result;
} else
return sd::Status::BAD_INPUT;
}
DECLARE_SYN(TensorArrayWriteV3, write_list);
DECLARE_SYN(tensorarraywritev3, write_list);
} // namespace ops
} // namespace sd
#endif