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Reduce usage of tf.contrib #1345
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tf.contrib.framework.load_checkpoint -> tf.train.load_checkpoint tf.contrib.framework.list_variables -> tf.train.list_variables tf.contrib.framework.init_from_checkpoint -> tf.train.init_from_checkpoint
tf.contrib.learn.ModeKeys.TRAIN -> tf.estimator.ModeKeys.TRAIN tf.contrib.learn.ModeKeys.EVAL -> tf.estimator.ModeKeys.EVAL tf.contrib.learn.ModeKeys.INFER -> tf.estimator.ModeKeys.PREDICT
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This is really awesome, thanks again @lgeiger ! |
tensorflow-copybara
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PiperOrigin-RevId: 228228161
kpe
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* tf.contrib.rnn -> tf.nn.rnn_cell * tf.contrib.framework -> tf.train tf.contrib.framework.load_checkpoint -> tf.train.load_checkpoint tf.contrib.framework.list_variables -> tf.train.list_variables tf.contrib.framework.init_from_checkpoint -> tf.train.init_from_checkpoint * tf.contrib.learn.ModeKeys -> tf.estimator.ModeKeys tf.contrib.learn.ModeKeys.TRAIN -> tf.estimator.ModeKeys.TRAIN tf.contrib.learn.ModeKeys.EVAL -> tf.estimator.ModeKeys.EVAL tf.contrib.learn.ModeKeys.INFER -> tf.estimator.ModeKeys.PREDICT * tf.contrib.eager.in_eager_mode -> tf.executing_eagerly * tf.contrib.data.batch_and_drop_remainder -> .batch(..., drop_remainder=True) * tf.contrib.data -> tf.data.experimental * tf.contrib.util.make_tensor_proto -> tf.make_tensor_proto * Simplify tf.contrib.eager imports * tf.initialize_all_variables -> tf.global_variables_initializer
kpe
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PiperOrigin-RevId: 228228161
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tensor2tensoruses many deprecated functions fromtf.contrib.This PR replaces the use of
tf.contribwith stable tensorflow functionality.