com.simiacryptus.mindseye.layers.tensorflow.Conv2DLayer Maven / Gradle / Ivy
/*
* 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.layers.tensorflow;
import com.google.gson.JsonObject;
import com.google.protobuf.InvalidProtocolBufferException;
import com.simiacryptus.mindseye.lang.DataSerializer;
import com.simiacryptus.mindseye.lang.Tensor;
import com.simiacryptus.ref.lang.RefUtil;
import com.simiacryptus.ref.wrappers.RefHashMap;
import com.simiacryptus.ref.wrappers.RefMap;
import com.simiacryptus.util.Util;
import org.tensorflow.Graph;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.op.Ops;
import javax.annotation.Nonnull;
import javax.annotation.Nullable;
import java.util.*;
public class Conv2DLayer extends TFLayerBase {
private final Class dtype = Double.class;
private String padding = "SAME";
private int strideX = 1;
private int strideY = 1;
public Conv2DLayer(int... intputDims) {
super(defaultStates(intputDims));
}
public Conv2DLayer(@Nonnull JsonObject json, Map rs) {
super(json, rs);
strideX = json.get("strideX").getAsInt();
strideY = json.get("strideY").getAsInt();
padding = json.get("padding").getAsString();
}
@Override
public GraphDef getGraphDef() {
try (Graph graph = new Graph()) {
Ops ops = Ops.create(graph);
ops.withName(getOutputNode()).nn.conv2d(ops.withName(getInputNodes().get(0)).placeholder(dtype),
ops.withName("kernel").placeholder(dtype), Arrays.asList(1L, (long) getStrideX(), (long) getStrideY(), 1L),
getPadding());
return GraphDef.parseFrom(graph.toGraphDef());
} catch (InvalidProtocolBufferException e) {
throw Util.throwException(e);
}
}
@Nonnull
@Override
public List getInputNodes() {
return Arrays.asList("input");
}
@Nonnull
@Override
public String getOutputNode() {
return "output";
}
public String getPadding() {
return padding;
}
public void setPadding(String padding) {
this.padding = padding;
}
public int getStrideX() {
return strideX;
}
public void setStrideX(int strideX) {
this.strideX = strideX;
}
public int getStrideY() {
return strideY;
}
public void setStrideY(int strideY) {
this.strideY = strideY;
}
@Nullable
@Override
public String getSummaryOut() {
return null;
}
@Nonnull
@SuppressWarnings("unused")
public static Conv2DLayer fromJson(@Nonnull final JsonObject json, Map rs) {
return new Conv2DLayer(json, rs);
}
@Nonnull
private static RefMap defaultStates(int[] intputDims) {
RefHashMap map = new RefHashMap<>();
Tensor temp_11_0001 = new Tensor(intputDims);
temp_11_0001.setByCoord(c -> {
return 0;
});
RefUtil.freeRef(map.put("kernel", temp_11_0001.addRef()));
temp_11_0001.freeRef();
return map;
}
@Override
public JsonObject getJson(Map resources, @Nonnull DataSerializer dataSerializer) {
JsonObject json = super.getJson(resources, dataSerializer);
assert json != null;
json.addProperty("strideX", strideX);
json.addProperty("strideY", strideY);
json.addProperty("padding", padding);
return json;
}
public @SuppressWarnings("unused")
void _free() {
super._free();
}
@Nonnull
public @Override
@SuppressWarnings("unused")
Conv2DLayer addRef() {
return (Conv2DLayer) super.addRef();
}
@Override
protected boolean floatInputs() {
return false;
}
@Nonnull
@Override
protected Set getDataKeys(JsonObject json) {
Set hashSet = new HashSet<>();
hashSet.add("kernel");
return hashSet;
}
}
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