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Merged
karllessard merged 3 commits into from
Feb 12, 2022
Merged

Fix metric test failures #414

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66de80e
Migrate metric tests from randomUniform to statelessRandomUniform
Craigacp Feb 11, 2022
7ab0075
pom updates.
Craigacp Feb 11, 2022
2b9ff30
Spotless changes.
Craigacp Feb 11, 2022
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Migrate metric tests from randomUniform to statelessRandomUniform
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@Craigacp
Craigacp committed Feb 11, 2022
commit 66de80ecb3b90ea8da4c637fcd4d619c540f852d
9 changes: 4 additions & 5 deletions ...rflow-framework/src/test/java/org/tensorflow/framework/metrics/PrecisionAtRecallTest.java
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Expand Up @@ -24,7 +24,6 @@
import org.tensorflow.ndarray.Shape;
import org.tensorflow.op.Op;
import org.tensorflow.op.Ops;
import org.tensorflow.op.random.RandomUniform;
import org.tensorflow.types.TFloat32;
import org.tensorflow.types.TInt64;

Expand All @@ -39,11 +38,11 @@ public void testValueIsIdempotent() {
PrecisionAtRecall<TFloat32> instance = new PrecisionAtRecall<>(0.7f, 1001L, TFloat32.class);

Operand<TFloat32> predictions =
tf.random.randomUniform(
tf.constant(Shape.of(10, 3)), TFloat32.class, RandomUniform.seed(1L));
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1L, 0L}), TFloat32.class);
Operand<TFloat32> labels =
tf.random.randomUniform(
tf.constant(Shape.of(10, 3)), TFloat32.class, RandomUniform.seed(1L));
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1L, 0L}), TFloat32.class);

Op update = instance.updateState(tf, labels, predictions, null);

Expand Down
11 changes: 5 additions & 6 deletions tensorflow-framework/src/test/java/org/tensorflow/framework/metrics/PrecisionTest.java
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Expand Up @@ -22,7 +22,6 @@
import org.tensorflow.ndarray.Shape;
import org.tensorflow.op.Op;
import org.tensorflow.op.Ops;
import org.tensorflow.op.random.RandomUniform;
import org.tensorflow.types.TFloat32;
import org.tensorflow.types.TFloat64;
import org.tensorflow.types.TInt32;
Expand All @@ -39,11 +38,11 @@ public void testValueIsIdempotent() {
Precision<TFloat64> instance =
new Precision<>(new float[] {0.3f, 0.72f}, 1001L, TFloat64.class);
Operand<TFloat32> predictions =
tf.random.randomUniform(
tf.constant(Shape.of(10, 3)), TFloat32.class, RandomUniform.seed(1001L));
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1001L, 0L}), TFloat32.class);
Operand<TFloat32> labels =
tf.random.randomUniform(
tf.constant(Shape.of(10, 3)), TFloat32.class, RandomUniform.seed(1001L));
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1001L, 0L}), TFloat32.class);

Op update = instance.updateState(tf, labels, predictions, null);

Expand Down Expand Up @@ -81,7 +80,7 @@ public void testUnweightedAllIncorrect() {
Precision<TFloat32> instance = new Precision<>(0.5f, 1001L, TFloat32.class);

Operand<TInt32> predictions =
tf.random.randomUniformInt(tf.constant(Shape.of(100, 1)), tf.constant(0), tf.constant(2));
tf.random.statelessMultinomial(tf.constant(new float[][]{{0.5f,0.5f}}), tf.constant(100), tf.constant(new long[]{1001L,0L}), TInt32.class);
Operand<TInt32> labels = tf.math.sub(tf.constant(1), predictions);
Op update = instance.updateState(tf, labels, predictions, null);
session.run(update);
Expand Down
9 changes: 4 additions & 5 deletions ...rflow-framework/src/test/java/org/tensorflow/framework/metrics/RecallAtPrecisionTest.java
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Expand Up @@ -24,7 +24,6 @@
import org.tensorflow.ndarray.Shape;
import org.tensorflow.op.Op;
import org.tensorflow.op.Ops;
import org.tensorflow.op.random.RandomUniform;
import org.tensorflow.types.TFloat32;
import org.tensorflow.types.TInt64;

Expand All @@ -39,11 +38,11 @@ public void testValueIsIdempotent() {
RecallAtPrecision<TFloat32> instance = new RecallAtPrecision<>(0.7f, 1001L, TFloat32.class);

Operand<TFloat32> predictions =
tf.random.randomUniform(
tf.constant(Shape.of(10, 3)), TFloat32.class, RandomUniform.seed(1L));
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1L, 0L}), TFloat32.class);
Operand<TFloat32> labels =
tf.random.randomUniform(
tf.constant(Shape.of(10, 3)), TFloat32.class, RandomUniform.seed(1L));
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1L, 0L}), TFloat32.class);
labels = tf.math.mul(labels, tf.constant(2.0f));

Op update = instance.updateState(tf, labels, predictions);
Expand Down
6 changes: 4 additions & 2 deletions tensorflow-framework/src/test/java/org/tensorflow/framework/metrics/RecallTest.java
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Expand Up @@ -36,9 +36,11 @@ public void testValueIsIdempotent() {
Recall<TFloat32> instance = new Recall<>(new float[] {0.3f, 0.72f}, 1001L, TFloat32.class);

Operand<TFloat32> predictions =
tf.random.randomUniform(tf.constant(Shape.of(10, 3)), TFloat32.class);
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1L, 0L}), TFloat32.class);
Operand<TFloat32> labels =
tf.random.randomUniform(tf.constant(Shape.of(10, 3)), TFloat32.class);
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1L, 0L}), TFloat32.class);
Op update = instance.updateState(tf, labels, predictions, null);

for (int i = 0; i < 10; i++) session.run(update);
Expand Down
9 changes: 4 additions & 5 deletions ...ramework/src/test/java/org/tensorflow/framework/metrics/SensitivityAtSpecificityTest.java
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Expand Up @@ -24,7 +24,6 @@
import org.tensorflow.ndarray.Shape;
import org.tensorflow.op.Op;
import org.tensorflow.op.Ops;
import org.tensorflow.op.random.RandomUniform;
import org.tensorflow.types.TFloat32;
import org.tensorflow.types.TFloat64;
import org.tensorflow.types.TInt64;
Expand All @@ -40,11 +39,11 @@ public void testValueIsIdempotent() {
SensitivityAtSpecificity<TFloat32> instance =
new SensitivityAtSpecificity<>(0.7f, 1001L, TFloat32.class);
Operand<TFloat32> predictions =
tf.random.randomUniform(
tf.constant(Shape.of(10, 3)), TFloat32.class, RandomUniform.seed(1L));
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1L, 0L}), TFloat32.class);
Operand<TFloat32> labels =
tf.random.randomUniform(
tf.constant(Shape.of(10, 3)), TFloat32.class, RandomUniform.seed(1L));
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1L, 0L}), TFloat32.class);
labels = tf.math.mul(labels, tf.constant(2.0f));

// instance.setDebug(session.getGraphSession());
Expand Down
8 changes: 4 additions & 4 deletions ...ramework/src/test/java/org/tensorflow/framework/metrics/SpecificityAtSensitivityTest.java
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Expand Up @@ -42,11 +42,11 @@ public void testValueIsIdempotent() {
new SpecificityAtSensitivity<>(0.7f, 1001L, TFloat32.class);

Operand<TFloat32> predictions =
tf.random.randomUniform(
tf.constant(Shape.of(10, 3)), TFloat32.class, RandomUniform.seed(1L));
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1L, 0L}), TFloat32.class);
Operand<TFloat32> labels =
tf.random.randomUniform(
tf.constant(Shape.of(10, 3)), TFloat32.class, RandomUniform.seed(1L));
tf.random.statelessRandomUniform(
tf.constant(Shape.of(10, 3)), tf.constant(new long[]{1L, 0L}), TFloat32.class);

// instance.setDebug(session.getGraphSession());
Op update = instance.updateState(tf, labels, predictions, null);
Expand Down