org.nd4j.linalg.api.ops.impl.grid.BaseGridOp Maven / Gradle / Ivy
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* * 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
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.grid;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseOp;
import org.nd4j.linalg.api.ops.GridOp;
import org.nd4j.linalg.api.ops.Op;
import org.nd4j.linalg.api.ops.grid.GridDescriptor;
import org.nd4j.linalg.api.ops.grid.GridPointers;
import org.nd4j.linalg.api.ops.grid.OpDescriptor;
import java.util.ArrayList;
import java.util.List;
public abstract class BaseGridOp extends BaseOp implements GridOp {
protected List queuedOps = new ArrayList<>();
protected List grid = new ArrayList<>();
public BaseGridOp() {
}
public BaseGridOp(INDArray x, INDArray y) {
// no-op
}
protected BaseGridOp(Op... ops) {
grid = new ArrayList<>(ops.length);
for (Op op : ops) {
queuedOps.add(new OpDescriptor(op, null));
grid.add(null);
}
}
protected BaseGridOp(OpDescriptor... descriptors) {
for (OpDescriptor op : descriptors) {
queuedOps.add(op);
grid.add(null);
}
}
protected BaseGridOp(GridPointers... pointers) {
for (GridPointers ptr : pointers) {
grid.add(ptr);
}
}
protected BaseGridOp(List ops) {
this(ops.toArray(new Op[0]));
}
@Override
public GridDescriptor getGridDescriptor() {
GridDescriptor descriptor = new GridDescriptor();
descriptor.setGridDepth(grid.size());
descriptor.setGridPointers(grid);
return descriptor;
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
}