org.deeplearning4j.nn.conf.graph.FrozenVertex Maven / Gradle / Ivy
/*
* ******************************************************************************
* *
* *
* * 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.deeplearning4j.nn.conf.graph;
import lombok.Data;
import lombok.EqualsAndHashCode;
import org.deeplearning4j.nn.conf.inputs.InputType;
import org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException;
import org.deeplearning4j.nn.conf.memory.MemoryReport;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.shade.jackson.annotation.JsonProperty;
@Data
@EqualsAndHashCode(callSuper = false)
public class FrozenVertex extends GraphVertex {
private GraphVertex underlying;
public FrozenVertex(@JsonProperty("underlying") GraphVertex underlying){
this.underlying = underlying;
}
@Override
public GraphVertex clone() {
return new FrozenVertex(underlying.clone());
}
@Override
public long numParams(boolean backprop) {
return underlying.numParams(backprop);
}
@Override
public int minVertexInputs() {
return underlying.minVertexInputs();
}
@Override
public int maxVertexInputs() {
return underlying.maxVertexInputs();
}
@Override
public org.deeplearning4j.nn.graph.vertex.GraphVertex instantiate(ComputationGraph graph, String name, int idx, INDArray paramsView, boolean initializeParams, DataType networkDatatype) {
org.deeplearning4j.nn.graph.vertex.GraphVertex u = underlying.instantiate(graph, name, idx, paramsView, initializeParams, networkDatatype);
return new org.deeplearning4j.nn.graph.vertex.impl.FrozenVertex(u);
}
@Override
public InputType getOutputType(int layerIndex, InputType... vertexInputs) throws InvalidInputTypeException {
return underlying.getOutputType(layerIndex, vertexInputs);
}
@Override
public MemoryReport getMemoryReport(InputType... inputTypes) {
return underlying.getMemoryReport(inputTypes);
}
}