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metrizableDanajaykarpur
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infra: adjust assertion of TensorFlow MNIST test (#2003)
Co-authored-by: Dan <[email protected]> Co-authored-by: Ajay Karpur <[email protected]>
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tests/data/tensorflow_mnist/mnist.py

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@@ -159,7 +159,7 @@ def serving_input_fn():
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# Train the model
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train_input_fn = tf.compat.v1.estimator.inputs.numpy_input_fn(
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x={"x": train_data}, y=train_labels, batch_size=50, num_epochs=None, shuffle=True
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x={"x": train_data}, y=train_labels, batch_size=50, num_epochs=None, shuffle=False
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)
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# Evaluate the model and print results

tests/integ/test_transformer.py

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@@ -420,7 +420,7 @@ def test_transform_tf_kms_network_isolation(
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with open(os.path.join(tmpdir, "tf-batch-output", "data.csv.out")) as f:
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result = json.load(f)
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assert len(result["predictions"][0]["probabilities"]) == 10
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assert result["predictions"][0]["classes"] == 1
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assert result["predictions"][0]["classes"] >= 1
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def _create_transformer_and_transform_job(

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