deeplearning4j/deeplearning4j

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libnd4j/include/ops/declarable/generic/bitwise/shift.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_shift_bits)

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

namespace sd {
namespace ops {
BROADCASTABLE_OP_IMPL(shift_bits, 0, 0) {
  auto x = INPUT_VARIABLE(0);
  auto y = INPUT_VARIABLE(1);
  auto z = OUTPUT_VARIABLE(0);

  BROADCAST_CHECK_EMPTY(x, y, z);

  x->applyTrueBroadcast(BroadcastIntOpsTuple::custom(scalar::ShiftLeft, pairwise::ShiftLeft, broadcast::ShiftLeft), *y,
                        *z, false);

  return sd::Status::OK;
}

DECLARE_TYPES(shift_bits) { getOpDescriptor()->setAllowedInputTypes({ALL_INTS})->setSameMode(true); }
}  // namespace ops
}  // namespace sd

#endif