cavis/libnd4j/include/ops/declarable/generic/tensor/create.cpp

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/*******************************************************************************
* Copyright (c) 2019 Konduit K.K.
*
* 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.
*
* 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_shapes_of)
#include <ops/declarable/CustomOperations.h>
namespace sd {
namespace ops {
CUSTOM_OP_IMPL(create, 1, 1, false, 0, 1) {
auto init = block.numB() > 0 ? B_ARG(0) : true;
if (init)
OUTPUT_VARIABLE(0)->nullify();
return Status::OK();
}
DECLARE_SHAPE_FN(create) {
auto shapeInput = INPUT_VARIABLE(0);
auto order = (char) INT_ARG(0);
auto dtype = DataTypeUtils::fromInt(INT_ARG(1));
REQUIRE_TRUE(order == 'c' || order == 'f', 0, "create: order must be either c or f");
auto shape = shapeInput->getBufferAsVector<Nd4jLong>();
return SHAPELIST(sd::ConstantShapeHelper::getInstance().createShapeInfo(dtype, order, shape));
}
DECLARE_TYPES(create) {
getOpDescriptor()
->setAllowedInputTypes({ALL_INTS})
->setAllowedOutputTypes(sd::DataType::ANY);
}
}
}
#endif