install keras-nlp and keras-cv pre-release versions

[Philmod]

http://b/315833744

[rosbo]

The new dev version for keras-cv has also been released. It is 0.8.0.dev0.

[rosbo]

The tests are failing because it tries to download the weights from kaggle.com but internet is disabled in our unit tests for reproducibility / speed / flakiness reasons.

The test sets the load_weights parameter to False which initialize the model with random weights. This was done to ensure it doesn't try to download the model weights from GCS.

Looks like the new package ignores that parameter... I will ask the keras_nlp folks about it.

docker-python/tests/test_keras_nlp.py

Line 24 in a42ecff

load_weights=False, # load randomly initialized model from preset architecture with weights

[rosbo]

Before, the "configuration" was checked-in. Now, it needs to load the config.json file over the internet and then it can it load the model with random weights. I guess that is expected now that the config doesn't live in the source code itself. I will think about how to fix this for our test.

[rosbo]

@Philmod I pushed to your branch to add a fake API server for kagglehub given internet access is disabled in our smoke tests. I also updated the Dockerfile to install the dev version of keras-cv.

[Philmod]

Test failure:

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ERROR: test_fit (test_keras_nlp.TestKerasNLP)
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Traceback (most recent call last):
  File "/input/tests/test_keras_nlp.py", line 12, in test_fit
    classifier = keras_nlp.models.BertClassifier.from_preset(
  File "/opt/conda/lib/python3.10/site-packages/keras_nlp/src/models/task.py", line 213, in from_preset
    return super(cls, calling_cls).from_preset(*args, **kwargs)
  File "/opt/conda/lib/python3.10/site-packages/keras_nlp/src/models/task.py", line 190, in from_preset
    tokenizer = load_from_preset(
  File "/opt/conda/lib/python3.10/site-packages/keras_nlp/src/utils/preset_utils.py", line 199, in load_from_preset
    tokenizer.load_assets(asset_dir)
  File "/opt/conda/lib/python3.10/site-packages/keras_nlp/src/tokenizers/word_piece_tokenizer.py", line 338, in load_assets
    self.set_vocabulary(path)
  File "/opt/conda/lib/python3.10/site-packages/keras_nlp/src/models/bert/bert_tokenizer.py", line 92, in set_vocabulary
    super().set_vocabulary(vocabulary)
  File "/opt/conda/lib/python3.10/site-packages/keras_nlp/src/tokenizers/word_piece_tokenizer.py", line 349, in set_vocabulary
    self.vocabulary = [line.rstrip() for line in file]
  File "/opt/conda/lib/python3.10/site-packages/keras_nlp/src/tokenizers/word_piece_tokenizer.py", line 349, in <listcomp>
    self.vocabulary = [line.rstrip() for line in file]
  File "/opt/conda/lib/python3.10/encodings/ascii.py", line 26, in decode
    return codecs.ascii_decode(input, self.errors)[0]
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc2 in position 3793: ordinal not in range(128)

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