cavis/libnd4j/include/ops/declarable/helpers/cuda/shift.cu

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/*******************************************************************************
* Copyright (c) 2015-2019 Skymind, Inc.
*
* 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.
*
* 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 <ops/declarable/helpers/shift.h>
namespace nd4j {
namespace ops {
namespace helpers {
template <typename T>
void shift_bits_(LaunchContext* launchContext, NDArray &input, NDArray &output, uint32_t shift) {
auto lambda = LAMBDA_T(x, shift) {
return x << shift;
};
input.applyLambda(lambda, &output);
}
void shift_bits(LaunchContext* launchContext, NDArray &x, NDArray &z, uint32_t shift) {
BUILD_SINGLE_SELECTOR(x.dataType(), shift_bits_, (launchContext, x, z, shift), INTEGER_TYPES);
}
template <typename T>
void cyclic_shift_bits_(LaunchContext* launchContext, NDArray &input, NDArray &output, uint32_t shift) {
auto step = (sizeof(T) * 8) - shift;
auto lambda = LAMBDA_T(x, shift, step) {
return x << shift | x >> step;
};
input.applyLambda(lambda, &output);
}
void cyclic_shift_bits(LaunchContext* launchContext, NDArray &x, NDArray &z, uint32_t shift) {
BUILD_SINGLE_SELECTOR(x.dataType(), cyclic_shift_bits_, (launchContext, x, z, shift), INTEGER_TYPES);
}
}
}
}