cavis/libnd4j/include/ops/declarable/helpers/cpu/weights.cpp

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2019-06-06 14:21:15 +02:00
/*******************************************************************************
* Copyright (c) 2015-2018 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 sgazeos@gmail.com
//
#include <ops/declarable/helpers/weights.h>
namespace nd4j {
namespace ops {
namespace helpers {
template <typename T>
static void adjustWeights_(NDArray* input, NDArray* weights, NDArray* output, int minLength, int maxLength) {
for (Nd4jLong e = 0; e < input->lengthOf(); e++) {
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int val = input->e<int>(e);
if (val < maxLength) {
if (weights != nullptr)
output->p(val, output->e<T>(val) + weights->e<T>(e));
else
output->p(val, output->e<T>(val) + 1);
}
}
}
void adjustWeights(nd4j::LaunchContext * context, NDArray* input, NDArray* weights, NDArray* output, int minLength, int maxLength) {
BUILD_SINGLE_SELECTOR(output->dataType(), adjustWeights_, (input, weights, output, minLength, maxLength), LIBND4J_TYPES);
}
BUILD_SINGLE_TEMPLATE(template void adjustWeights_, (NDArray* input, NDArray* weights, NDArray* output, int minLength, int maxLength), LIBND4J_TYPES);
}
}
}