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Fix missing callbacks related to datasets #83

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Fix missing callbacks related to datasets #83

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9c008a5
Add preliminary example.
khatchad Dec 6, 2023
edd037d
Merge branch 'master' into 113-missing-callbacks-related-to-datasets
khatchad Mar 5, 2024
5d778cf
Apply spotless.
khatchad Mar 5, 2024
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6 changes: 6 additions & 0 deletions ...ala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java
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Original file line number Diff line number Diff line change
Expand Up @@ -1038,6 +1038,12 @@ public void testCallbacks2()
test("tf2_test_callbacks2.py", "replica_fn", 1, 1, 2);
}

@Test
public void testCallbacks3()
throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException {
test("tf2_test_callbacks3.py", "dataset_fn", 0, 0);
}

@Test
public void testGanTutorial()
throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException {
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21 changes: 21 additions & 0 deletions com.ibm.wala.cast.python.test/data/tf2_test_callbacks3.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,21 @@
# From https://www.tensorflow.org/tutorials/distribute/input#tfdistributestrategydistribute_datasets_from_function.

import tensorflow as tf

global_batch_size = 16
strategy = tf.distribute.MirroredStrategy(["GPU:0", "GPU:1"])


def dataset_fn(input_context):
batch_size = input_context.get_per_replica_batch_size(global_batch_size)
dataset = tf.data.Dataset.from_tensors(([1.0], [1.0])).repeat(64).batch(16)
dataset = dataset.shard(
input_context.num_input_pipelines, input_context.input_pipeline_id
)
dataset = dataset.batch(batch_size)
dataset = dataset.prefetch(2) # This prefetches 2 batches per device.
return dataset


dist_dataset = strategy.distribute_datasets_from_function(dataset_fn)
print(dist_dataset)
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