tf.placeholder don't exist in tf 2.0

[MrZhengXin]

Describe the Bug

On tensorflow 2.0, there is no tf.placeholder

Traceback (most recent call last):
  File "load_and_extract.py", line 18, in <module>
    model = load_trained_model_from_checkpoint(config_path, checkpoint_path)
  File "/usr/local/lib/python3.5/dist-packages/keras_bert/loader.py", line 43, in load_trained_model_from_checkpoint
    training=training,
  File "/usr/local/lib/python3.5/dist-packages/keras_bert/bert.py", line 58, in get_model
    inputs = get_inputs(seq_len=seq_len)
  File "/usr/local/lib/python3.5/dist-packages/keras_bert/layers/inputs.py", line 15, in get_inputs
    ) for name in names]
  File "/usr/local/lib/python3.5/dist-packages/keras_bert/layers/inputs.py", line 15, in <listcomp>
    ) for name in names]
  File "/usr/local/lib/python3.5/dist-packages/keras/engine/input_layer.py", line 178, in Input
    input_tensor=tensor)
  File "/usr/local/lib/python3.5/dist-packages/keras/legacy/interfaces.py", line 91, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.5/dist-packages/keras/engine/input_layer.py", line 87, in __init__
    name=self.name)
  File "/usr/local/lib/python3.5/dist-packages/keras/backend/tensorflow_backend.py", line 517, in placeholder
    x = tf.placeholder(dtype, shape=shape, name=name)
AttributeError: module 'tensorflow' has no attribute 'placeholder'

Version Info

tf-nightly-gpu-2.0-preview 2.0.0.dev20190304
Keras 2.2.4
python 3.5.2

[CyberZHG]

There is nothing I can do because the incompatibility happens between Keras and Tensorflow. Keras has a branch named "tf-2" that solves the compatibility problem with Tensorflow 2.0. I don't think you should use a preview version of Tensorflow while Keras has no stable release for it.

[MrZhengXin]

else: tf.compat.v1.disable_eager_execution() x = tf.compat.v1.placeholder(dtype, shape=shape, name=name)
File "/usr/local/lib/python3.5/dist-packages/keras/backend/tensorflow_backend.py", line 517
In here I change like this...
For similar error, I have to change it manually.

[MrZhengXin]

There is nothing I can do because the incompatibility happens between Keras and Tensorflow. Keras has a branch named "tf-2" that solves the compatibility problem with Tensorflow 2.0. I don't think you should use a preview version of Tensorflow while Keras has no stable release for it.

oh, thank you very much

[stale]

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