Java Code Examples for org.nd4j.imports.graphmapper.tf.TFGraphMapper#initFunctionFromProperties()

The following examples show how to use org.nd4j.imports.graphmapper.tf.TFGraphMapper#initFunctionFromProperties() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.

Example 1

Source File: ResizeBilinear.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

    val attrC = attributesForNode.get("align_corners");
    val attrH = attributesForNode.get("half_pixel_centers");

    this.alignCorners = attrC != null ? attrC.getB() : false;
    this.halfPixelCenters = attrH != null ? attrH.getB() : false;

    addArgs();
}

Example 2

Source File: ScatterMul.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

    if (nodeDef.containsAttr("use_locking")) {
        if (nodeDef.getAttrOrThrow("use_locking").getB() == true) {
            bArguments.add(true);
        } else {
            bArguments.add(false);
        }
    } else
        bArguments.add(false);
}

Example 3

Source File: ScatterDiv.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

    if (nodeDef.containsAttr("use_locking")) {
        if (nodeDef.getAttrOrThrow("use_locking").getB() == true) {
            bArguments.add(true);
        } else {
            bArguments.add(false);
        }
    } else
        bArguments.add(false);
}

Example 4

Source File: ScatterNd.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

    if (nodeDef.containsAttr("use_locking")) {
        if (nodeDef.getAttrOrThrow("use_locking").getB() == true) {
            bArguments.add(true);
        } else {
            bArguments.add(false);
        }
    } else
        bArguments.add(false);
}

Example 5

Source File: ScatterNdSub.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

    if (nodeDef.containsAttr("use_locking")) {
        if (nodeDef.getAttrOrThrow("use_locking").getB() == true) {
            bArguments.add(true);
        } else {
            bArguments.add(false);
        }
    } else
        bArguments.add(false);
}

Example 6

Source File: ScatterNdAdd.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

    if (nodeDef.containsAttr("use_locking")) {
        if (nodeDef.getAttrOrThrow("use_locking").getB() == true) {
            bArguments.add(true);
        } else {
            bArguments.add(false);
        }
    } else
        bArguments.add(false);
}

Example 7

Source File: ScatterNdUpdate.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

    if (nodeDef.containsAttr("use_locking")) {
        if (nodeDef.getAttrOrThrow("use_locking").getB() == true) {
            bArguments.add(true);
        } else {
            bArguments.add(false);
        }
    } else
        bArguments.add(false);
}

Example 8

Source File: SparseSoftmaxCrossEntropyLossWithLogits.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

    //Switch order: TF uses [logits, labels]; libnd4j expects [labels, logits]
    SameDiffOp op = initWith.getOps().get(this.getOwnName());
    List<String> list = op.getInputsToOp();
    List<String> newList = Arrays.asList(list.get(1), list.get(0));
    op.setInputsToOp(newList);
}

Example 9

Source File: DepthwiseConv2D.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
    addArgs();

    /*
    // we must permute weights once during import
    val weightsName = nodeDef.getInput(1);
    val variable = initWith.getVariable(weightsName);
    val tmp = initWith.getArrForVarName(weightsName);
    val array = tmp.permute(3, 2, 0, 1).dup('c');

    initWith.associateArrayWithVariable(array, variable);
    */
}

Example 10

Source File: ScatterMax.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

    if (nodeDef.containsAttr("use_locking")) {
        if (nodeDef.getAttrOrThrow("use_locking").getB() == true) {
            bArguments.add(true);
        } else {
            bArguments.add(false);
        }
    } else
        bArguments.add(false);
}

Example 11

Source File: ResizeBicubic.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

    this.alignCorners = attributesForNode.get("align_corners").getB();
    this.alignPixelCenters = attributesForNode.get("half_pixel_centers").getB();
    addBArgument(alignCorners, alignPixelCenters);
}

Example 12

Source File: ResizeArea.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

    val attrC = attributesForNode.get("align_corners");
    this.alignCorners = attrC != null ? attrC.getB() : false;

    addArgs();
}

Example 13

Source File: Cholesky.java From deeplearning4j with Apache License 2.0

4 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
}

Example 14

Source File: Moments.java From deeplearning4j with Apache License 2.0

4 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
    addArgs();
}

Example 15

Source File: SpaceToDepth.java From deeplearning4j with Apache License 2.0

4 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
    boolean isNHWC = dataFormat == null ? true : dataFormat.equals(DataFormat.NHWC);
    addIArgument(blockSize, isNHWC ? 1 : 0);
}

Example 16

Source File: CumProd.java From deeplearning4j with Apache License 2.0

4 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
    addArgs();
}

Example 17

Source File: Conv3D.java From deeplearning4j with Apache License 2.0

4 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
    addArgs();
}

Example 18

Source File: DeConv2DTF.java From deeplearning4j with Apache License 2.0

4 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
    addArgs();
}

Example 19

Source File: Select.java From deeplearning4j with Apache License 2.0

4 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);

}

Example 20

Source File: CumSum.java From deeplearning4j with Apache License 2.0

4 votes

@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String, AttrValue> attributesForNode, GraphDef graph) {
    TFGraphMapper.initFunctionFromProperties(nodeDef.getOp(), this, attributesForNode, nodeDef, graph);
    addArgs();
}