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It seems to require you to set reuse=tf.AUTO_REUSE <p d

tl.layers.DropoutLayer 用于构建tf.estimator.Estimator，训练/预测模式切换时报错 ‘ValueError: Variable model/relu1/W does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?’ about tensorlayer HOT 2 OPEN

dengyin commented on May 25, 2024

tl.layers.DropoutLayer 用于构建tf.estimator.Estimator，训练/预测模式切换时报错 ‘ValueError: Variable model/relu1/W does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?’

from tensorlayer.

Comments (2)

Laicheng0830 commented on May 25, 2024

It seems to require you to set reuse=tf.AUTO_REUSE

from tensorlayer.

dengyin commented on May 25, 2024

It seems to require you to set reuse=tf.AUTO_REUSE

when i set reuse=tf.AUTO_REUSE and run 'print(model.evaluate(input_fn=lambda: eval_input_fn(test, test_y)))', the dense layers have a new weight actually.The trained weight isn't shared.

from tensorlayer.

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tl.layers.DropoutLayer 用于构建tf.estimator.Estimator，训练/预测模式切换时报错 ‘ValueError: Variable model/relu1/W does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?’ about tensorlayer HOT 2 OPEN

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