org.nd4j.linalg.api.ops.impl.transforms.custom.MultiHeadDotProductAttentionBp Maven / Gradle / Ivy
The newest version!
/*
* ******************************************************************************
* *
* *
* * 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
* *****************************************************************************
*/
package org.nd4j.linalg.api.ops.impl.transforms.custom;
import lombok.NoArgsConstructor;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import java.util.Arrays;
import java.util.List;
@NoArgsConstructor
public class MultiHeadDotProductAttentionBp extends DynamicCustomOp {
private boolean scaled;
public MultiHeadDotProductAttentionBp(SameDiff sameDiff, SDVariable queries, SDVariable keys, SDVariable values,
SDVariable Wq, SDVariable Wk, SDVariable Wv, SDVariable Wo,
SDVariable eps, SDVariable mask,
boolean scaled) {
super(null, sameDiff,
mask == null ? new SDVariable[] {queries, keys, values, Wq, Wk, Wv, Wo, eps}
: new SDVariable[] {queries, keys, values, Wq, Wk, Wv, Wo, eps, mask}
, false);
this.scaled = scaled;
addIArgument(scaled ? 1 : 0);
}
@Override
public String opName() {
return "multi_head_dot_product_attention_bp";
}
@Override
public List doDiff(List grad){
throw new UnsupportedOperationException("Differentiation of " + getClass().getName() + " not supported");
}
@Override
public List calculateOutputDataTypes(List dataTypes){
Preconditions.checkState(dataTypes != null && (dataTypes.size() == 8 || dataTypes.size() == 9), "Expected 8 or 9 input datatypes, got %s", dataTypes);
DataType first = dataTypes.get(0);
for( int i=0; i 0){
Preconditions.checkState(first == dataTypes.get(i), "All datatypes must be same type, got input datatypes %s", dataTypes);
}
}
return Arrays.asList(first, first, first, first, first, first, first);
}
}