tvalentyn opened a new issue, #31294:
URL: https://github.com/apache/beam/issues/31294
### What happened?
Sample failure:
```
$ pytest
apache_beam/ml/inference/tensorflow_inference_test.py::TFRunInferenceTest::test_predict_numpy_with_batch_size
==================================================================================================================================
test session starts
===================================================================================================================================
platform linux -- Python 3.9.18, pytest-7.4.4, pluggy-1.5.0
rootdir: /home/valentyn/projects/beam/beam/beam/sdks/python
configfile: pytest.ini
plugins: xdist-3.6.1, requests-mock-1.12.1, timeout-2.3.1, hypothesis-6.102.1
timeout: 600.0s
timeout method: signal
timeout func_only: False
collected 1 item
apache_beam/ml/inference/tensorflow_inference_test.py F
[100%]
========================================================================================================================================
FAILURES
========================================================================================================================================
_________________________________________________________________________________________________________________
TFRunInferenceTest.test_predict_numpy_with_batch_size
__________________________________________________________________________________________________________________
self =
<apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTest
testMethod=test_predict_numpy_with_batch_size>
def test_predict_numpy_with_batch_size(self):
> model = _create_mult2_model()
apache_beam/ml/inference/tensorflow_inference_test.py:220:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
apache_beam/ml/inference/tensorflow_inference_test.py:68: in
_create_mult2_model
inputs = tf.keras.Input(shape=(3))
test-suites/tox/py39/build/srcs/sdks/python/target/.tox-py39-ml/py39-ml/lib/python3.9/site-packages/keras/src/layers/core/input_layer.py:143:
in Input
layer = InputLayer(
test-suites/tox/py39/build/srcs/sdks/python/target/.tox-py39-ml/py39-ml/lib/python3.9/site-packages/keras/src/layers/core/input_layer.py:46:
in __init__
shape = backend.standardize_shape(shape)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
shape = 3
def standardize_shape(shape):
if not isinstance(shape, tuple):
if shape is None:
raise ValueError("Undefined shapes are not supported.")
if not hasattr(shape, "__iter__"):
> raise ValueError(f"Cannot convert '{shape}' to a shape.")
E ValueError: Cannot convert '3' to a shape.
test-suites/tox/py39/build/srcs/sdks/python/target/.tox-py39-ml/py39-ml/lib/python3.9/site-packages/keras/src/backend/common/variables.py:530:
ValueError
```
### Issue Failure
Failure: Test is continually failing
### Issue Priority
Priority: 2 (backlog / disabled test but we think the product is healthy)
### Issue Components
- [X] Component: Python SDK
- [ ] Component: Java SDK
- [ ] Component: Go SDK
- [ ] Component: Typescript SDK
- [ ] Component: IO connector
- [ ] Component: Beam YAML
- [ ] Component: Beam examples
- [ ] Component: Beam playground
- [ ] Component: Beam katas
- [ ] Component: Website
- [ ] Component: Spark Runner
- [ ] Component: Flink Runner
- [ ] Component: Samza Runner
- [ ] Component: Twister2 Runner
- [ ] Component: Hazelcast Jet Runner
- [ ] Component: Google Cloud Dataflow Runner
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