deeplearning4j/deeplearning4j

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libnd4j/include/ops/declarable/generic/transforms/clip_by_global_norm.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 sgazeos@gmail.com
//

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

#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/transforms.h>

namespace sd {
namespace ops {

CUSTOM_OP_IMPL(clip_by_global_norm, 1, 2, true, 1, 0) {
  std::vector<NDArray*> inputs(block.width());
  std::vector<NDArray*> outputs(block.width() + 1);
  for (size_t i = 0; i < inputs.size(); ++i) {
    inputs[i] = INPUT_VARIABLE(i);
    outputs[i] = OUTPUT_VARIABLE(i);
  }
  outputs[inputs.size()] = OUTPUT_VARIABLE(inputs.size());
  double clipNorm = T_ARG(0);
  bool isInplace = block.isInplace();
  helpers::clipByGlobalNorm(block.launchContext(), inputs, clipNorm, block.workspace(), outputs, isInplace);

  return sd::Status::OK;
}

DECLARE_SHAPE_FN(clip_by_global_norm) {
  auto shapeList = SHAPELIST();

  for (int e = 0; e < block.width(); e++) {
    auto in = inputShape->at(e);

    sd::LongType* newShape;
    COPY_SHAPE(in, newShape);
    shapeList->push_back(CONSTANT(newShape));
  }

  shapeList->push_back(ConstantShapeHelper::getInstance().scalarShapeInfo(ArrayOptions::dataType(inputShape->at(0))));
  return shapeList;
}

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

}  // namespace ops
}  // namespace sd

#endif