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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.lang;
import com.simiacryptus.ref.lang.RefIgnore;
import com.simiacryptus.ref.lang.RefUtil;
import org.jetbrains.annotations.NotNull;
import javax.annotation.Nonnull;
import javax.annotation.Nullable;
import java.util.UUID;
public class MutableResult extends Result {
public MutableResult(final Tensor... tensors) {
this(ids(tensors), tensors);
}
public MutableResult(@Nonnull UUID[] objectId, @Nullable final Tensor... tensors) {
super(new TensorArray(tensors), handler(RefUtil.addRef(tensors), objectId));
}
@Override
public boolean isAlive() {
return true;
}
@NotNull
private static UUID[] ids(@RefIgnore Tensor[] tensors) {
UUID[] uuids = new UUID[tensors.length];
for (int i = 0; i < uuids.length; i++) {
uuids[i] = tensors[i].getId();
}
return uuids;
}
private static Result.Accumulator handler(final Tensor[] tensors, UUID[] objectId) {
return new MutableAccumulator(tensors, objectId);
}
@Nonnull
public @Override
@SuppressWarnings("unused")
MutableResult addRef() {
return (MutableResult) super.addRef();
}
@Override
public void _free() {
super._free();
}
private static class MutableAccumulator extends Accumulator {
private final Tensor[] tensors;
private final UUID[] objectId;
public MutableAccumulator(Tensor[] tensors, UUID[] objectId) {
this.tensors = tensors;
this.objectId = objectId;
}
@Override
public void accept(@Nonnull DeltaSet buffer, @Nonnull TensorList delta) {
for (int index = 0; index < delta.length(); index++) {
assert tensors != null;
Delta tensorDelta = buffer.get(objectId[index], tensors[index].addRef());
assert tensorDelta != null;
tensorDelta.addInPlace(delta.get(index));
tensorDelta.freeRef();
}
delta.freeRef();
buffer.freeRef();
}
public @SuppressWarnings("unused")
void _free() {
super._free();
if (null != tensors)
RefUtil.freeRef(tensors);
RefUtil.freeRef(objectId);
}
}
}
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