parent
4b23dc01fd
commit
88ea9a49eb
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@ -550,6 +550,8 @@ public abstract class DifferentialFunction {
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continue;
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continue;
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val var = sameDiff.getVarNameForFieldAndFunction(this,property);
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val var = sameDiff.getVarNameForFieldAndFunction(this,property);
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if(var == null)
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continue; //Rarely (like Conv2D) properties will be optional. For example kH/kW args will be inferred from weight shape
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val fieldType = fields.get(property);
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val fieldType = fields.get(property);
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val varArr = sameDiff.getArrForVarName(var);
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val varArr = sameDiff.getArrForVarName(var);
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//already defined
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//already defined
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@ -30,12 +30,10 @@ import org.junit.runners.Parameterized;
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import org.nd4j.OpValidationSuite;
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import org.nd4j.OpValidationSuite;
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import org.nd4j.autodiff.samediff.SameDiff;
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import org.nd4j.autodiff.samediff.SameDiff;
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import org.nd4j.base.Preconditions;
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import org.nd4j.base.Preconditions;
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import org.nd4j.linalg.BaseNd4jTest;
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import org.nd4j.linalg.api.buffer.DataType;
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import org.nd4j.linalg.api.buffer.DataType;
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import org.nd4j.linalg.api.ndarray.INDArray;
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import org.nd4j.linalg.api.ndarray.INDArray;
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import org.nd4j.linalg.api.ops.executioner.OpExecutioner;
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import org.nd4j.linalg.api.ops.executioner.OpExecutioner;
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import org.nd4j.linalg.factory.Nd4j;
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import org.nd4j.linalg.factory.Nd4j;
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import org.nd4j.linalg.factory.Nd4jBackend;
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import org.nd4j.linalg.function.BiFunction;
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import org.nd4j.linalg.function.BiFunction;
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import org.nd4j.resources.Downloader;
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import org.nd4j.resources.Downloader;
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import org.nd4j.util.ArchiveUtils;
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import org.nd4j.util.ArchiveUtils;
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@ -62,10 +60,6 @@ public class TFGraphTestZooModels { //Note: Can't extend BaseNd4jTest here as we
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//2019/06/28 - Output incorrect, can't debug b/c https://github.com/eclipse/deeplearning4j/issues/7957
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//2019/06/28 - Output incorrect, can't debug b/c https://github.com/eclipse/deeplearning4j/issues/7957
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"cifar10_gan_85",
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"cifar10_gan_85",
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//2019/07/03 - java.lang.NullPointerException: varName is marked @NonNull but is null
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// https://github.com/eclipse/deeplearning4j/issues/7975
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"alexnet",
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//2019/07/03 - Out of Memory error
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//2019/07/03 - Out of Memory error
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"compression_residual_gru",
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"compression_residual_gru",
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