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Core Neural Networks Framework
/*
* Copyright (c) 2019 by Andrew Charneski.
*
* The author licenses this file to you under the
* Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance
* with the License. You may obtain a copy
* of the License at
*
* http://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.
*/
package com.simiacryptus.mindseye.eval;
import com.simiacryptus.mindseye.lang.Layer;
import com.simiacryptus.mindseye.lang.PointSample;
import com.simiacryptus.mindseye.lang.Tensor;
import com.simiacryptus.mindseye.opt.TrainingMonitor;
import com.simiacryptus.ref.lang.ReferenceCounting;
import com.simiacryptus.ref.wrappers.RefList;
import javax.annotation.Nonnull;
public interface Trainable extends ReferenceCounting {
Layer getLayer();
default void setData(RefList tensors) {
tensors.freeRef();
}
@Nonnull
default CachedTrainable extends Trainable> cached() {
return new CachedTrainable<>(this.addRef());
}
PointSample measure(TrainingMonitor monitor);
default boolean reseed(final long seed) {
return false;
}
Trainable addRef();
}
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