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r2.0
STT-tensorflow/tensorflow/examples/saved_model/integration_tests
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Andr? Susano Pinto 40047b6bf1 Fix SavedModel text embedding example to use TF-2 public APIs. 
PiperOrigin-RevId: 267392885
2019-09-08 09:58:54 -07:00
..
BUILD Enable TF Hub's tests with KerasLayer. 2019-06-17 23:13:53 -07:00
deploy_mnist_cnn.py Handle distributed variables correctly in tf.saved_model saving. In particular, this allows saving models containing hub.KerasLayer and trained with distribution strategies. 2019-07-29 13:15:47 -07:00
distribution_strategy_utils.py Refactor integration_tests/saved_model_test. 2019-06-18 06:15:39 -07:00
export_mnist_cnn.py Prefer Keras saving API in the MNIST SavedModel example over manual wrapping 2019-07-31 07:56:36 -07:00
export_rnn_cell.py Use tf.function's default autograph=True in saved_model/integration_test. 2019-07-24 11:57:44 -07:00
export_simple_text_embedding.py Fix SavedModel text embedding example to use TF-2 public APIs. 2019-09-08 09:58:54 -07:00
export_text_rnn_model.py Add a new "result_type" parameter to tf.strings.split, which controls whether the result is a SparseTensor or a RaggedTensor. Defaults to SparseTensor for TensorFlow 1.x, and RaggedTensor for TensorFlow 2.x. 2019-04-09 08:52:33 -07:00
integration_scripts.py Merge pull request #28879 from frreiss:issue-linter-warning 2019-07-22 18:30:25 -07:00
mnist_util.py Enable TF Hub's tests with KerasLayer. 2019-06-17 23:13:53 -07:00
saved_model_test.py Prefer Keras saving API in the MNIST SavedModel example over manual wrapping 2019-07-31 07:56:36 -07:00
use_mnist_cnn.py Prefer Keras saving API in the MNIST SavedModel example over manual wrapping 2019-07-31 07:56:36 -07:00
use_model_in_sequential_keras.py SavedModel integration tests: use hub.KerasLayer instead of fake implementation. 2019-05-09 09:11:10 -07:00
use_rnn_cell.py Refactor saved model integration tests so there is a single py_binary as data. 2019-04-01 08:12:20 -07:00
use_text_embedding_in_dataset.py Integration test for use of a text embedding saved model in a dataset map function. 2019-04-02 02:21:49 -07:00
use_text_rnn_model.py Refactor saved model integration tests so there is a single py_binary as data. 2019-04-01 08:12:20 -07:00