deeplearning4j/deeplearning4j

/* ******************************************************************************
 *
 *
 * 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_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 sd::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<sd::LongType>();

  return SHAPELIST(sd::ConstantShapeHelper::getInstance().createShapeInfo(dtype, order, shape));
}

DECLARE_TYPES(create) { getOpDescriptor()->setAllowedInputTypes({ALL_INTS})->setAllowedOutputTypes(sd::DataType::ANY); }
}  // namespace ops
}  // namespace sd

#endif