deeplearning4j/deeplearning4j

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libnd4j/include/ops/declarable/generic/random/bernoulli.cpp

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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 raver119@gmail.com
//

#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_random_bernoulli)

#include <helpers/RandomLauncher.h>
#include <ops/declarable/headers/random.h>

namespace sd {
namespace ops {
CUSTOM_OP_IMPL(random_bernoulli, 1, 1, true, 1, 0) {
  auto rng = block.getRng();
  // FIXME: to be implemented
  /*
              if (rng == nullptr)
                  return Logger::logKernelFailureMsg("RNG is null, aborting...");

              auto x = INPUT_VARIABLE(0);
              auto z = OUTPUT_VARIABLE(0);

              T f = T_ARG(0);

              functions::random::RandomFunction<T>::template
     execTransform<randomOps::BernoulliDistribution<T>>(block.getRNG(), z->buffer(), z->shapeInfo(), &f);
  */

  auto z = OUTPUT_VARIABLE(0);
  auto f = T_ARG(0);

  RandomLauncher::fillBernoulli(block.launchContext(), rng, z, f);

  return sd::Status::OK;
}

DECLARE_SHAPE_FN(random_bernoulli) {
  auto in = INPUT_VARIABLE(0);
  auto shape = in->template asVectorT<sd::LongType>();

  auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(block.dataType(), 'c', shape);
  return SHAPELIST(newShape);
}

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

#endif