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Fix fail when a variable receives zero gradient #482 #483

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Merged
karllessard merged 4 commits into from
Jan 25, 2023
Merged

Fix fail when a variable receives zero gradient #482 #483

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f3a9713
Fix fail when a variable receives zero gradient
ramon-garcia Dec 29, 2022
be762db
Fix whitespace error.
ramon-garcia Jan 6, 2023
4be5886
Added javadoc to function isClosed
ramon-garcia Jan 6, 2023
b07c9ab
Fix formatting errors from mvn spotless:check
ramon-garcia Jan 21, 2023
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Fix formatting errors from mvn spotless:check
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@ramon-garcia
ramon-garcia committed Jan 21, 2023
commit b07c9ab0e73d4f6cf419776ec7422eeec2513906
5 changes: 4 additions & 1 deletion tensorflow-core/tensorflow-core-api/src/main/java/org/tensorflow/Output.java
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Expand Up @@ -147,7 +147,10 @@ Pointer getUnsafeNativeHandle() {
return operation.getUnsafeNativeHandle(index);
}

/** Returns whether the underlying operation has no valid handle. Makes the opposite check as GraphOperation.requireHandle **/
/**
* Returns whether the underlying operation has no valid handle. Makes the opposite check as
* GraphOperation.requireHandle *
*/
public boolean isClosed() {
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@Craigacp Craigacp Jan 5, 2023

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Does this behave correctly on an EagerSession? Also it needs some javadoc and I think it'll fail the spotless check.

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@ramon-garcia ramon-garcia Jan 6, 2023

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Fixed the formatting problem.

I tried the following small example with EagerSession, and it appears to reply correctly false:

import org.tensorflow.EagerSession;
import org.tensorflow.op.Ops;
import org.tensorflow.framework.initializers.Zeros;
import org.tensorflow.types.TFloat32;

public class App {
    public static void main(String[] args) {
        try (EagerSession s = EagerSession.create()) {
            Ops tf = Ops.create(s);
            Zeros<TFloat32> zeroInit = new Zeros<>();
            // y = a*x + b
            var x = tf.constant(new float[] {1.0f, 3.0f, 4.0f});
            var y = tf.constant(new float[] {2.5f, 6.5f, 8.5f});
            var b = tf.constant(1.0f);
            var a = tf.constant(1.8f);
            var ypred = tf.math.add(tf.math.mul(a, x), tf.stopGradient(b));
            var loss_gen = new org.tensorflow.framework.losses.MeanSquaredError();
            var los = loss_gen.call(tf, ypred, y);
            System.out.println("IsClosed " + los.asOutput().isClosed());
        }
    }
}

Running it, the output is:
2023-01-06 16:32:31.701434: I external/org_tensorflow/tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
IsClosed false

So it appears to work correctly.

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@Craigacp Craigacp Jan 6, 2023

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Ok. Can you add the javadoc to the method?

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@ramon-garcia ramon-garcia Jan 6, 2023

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Yes, I have just added the javadoc.

Pointer handle = operation.getUnsafeNativeHandle(index);
return handle == null || handle.isNull();
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