cavis/libnd4j/include/ops/declarable/generic/random/normal.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_random_normal)

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

namespace sd {
    namespace ops {
        CUSTOM_OP_IMPL(random_normal, 1, 1, true, 2, 0) {
            // normal distribution
            auto rng = block.randomGenerator();
            // FIXME: to be implemented
/*
            REQUIRE_TRUE(rng != nullptr, 0, "RNG isn't defined for this Graph instance");

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

            functions::random::RandomFunction<T>::template execTransform<randomOps::GaussianDistribution<T>>(block.getRNG(), z->buffer(), z->shapeInfo(), z->buffer(), z->shapeInfo(), z->buffer(), z->shapeInfo(), block.getTArguments()->data());
*/

            RandomLauncher::fillGaussian(block.launchContext(), rng, OUTPUT_VARIABLE(0), T_ARG(0), T_ARG(1));

            return Status::OK();
        }

        DECLARE_SHAPE_FN(random_normal) {
            auto in = INPUT_VARIABLE(0);
            auto shape = in->template asVectorT<Nd4jLong>();

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

        DECLARE_TYPES(random_normal) {
            getOpDescriptor()
                    ->setAllowedInputTypes(sd::DataType::ANY)
                    ->setAllowedOutputTypes({ALL_FLOATS});
        }
    }
}

#endif