estimator.patch

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< 
---
> import tensorflow as tf 
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< def _create_keras_model_fn(keras_model, custom_objects=None):
---
> def _create_keras_model_fn(keras_model, params=None, custom_objects=None):
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<   def model_fn(features, labels, mode):
---
>   def model_fn(features, labels, mode, params=None):
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<   if keras_model._is_graph_network:
---
>   if False:
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<   estimator = estimator_lib.Estimator(keras_model_fn,
<                                       config=config,
<                                       warm_start_from=warm_start_path)
---
>   estimator = tf.contrib.tpu.TPUEstimator(keras_model_fn, use_tpu=False, train_batch_size=4, eval_batch_size=4,
>                                           config=config,
>                                           warm_start_from=warm_start_path)