AttributeError: module 'tensorflow' has no attribute 'placeholder'

[Diksha1312]

I'm using TF 2.0 version on Colab.

Below is the error I'm getting -

nonlinear_mxts_mode is set to: DeepLIFT_GenomicsDefault
/usr/local/lib/python3.7/dist-packages/deeplift/conversion/kerasapi_conversion.py:366: H5pyDeprecationWarning: The default file mode will change to 'r' (read-only) in h5py 3.0. To suppress this warning, pass the mode you need to h5py.File(), or set the global default h5.get_config().default_file_mode, or set the environment variable H5PY_DEFAULT_READONLY=1. Available modes are: 'r', 'r+', 'w', 'w-'/'x', 'a'. See the docs for details.
model_weights = h5py.File(h5_file)

AttributeError Traceback (most recent call last)
in
14 h5_file=keras_model_weights,
15 json_file=keras_model_json,
---> 16 nonlinear_mxts_mode=nonlinear_mxts_mode)

2 frames
/usr/local/lib/python3.7/dist-packages/deeplift/layers/core.py in init(self, batch_shape, **kwargs)
205 self._num_dims = len(batch_shape)
206 self._shape = batch_shape
--> 207 self.activation_vars = tf.placeholder(
208 dtype=tf.float32, shape=batch_shape,
209 name="inp"+str(self.get_name()))

AttributeError: module 'tensorflow' has no attribute 'placeholder'

Below is the code I'm trying to execute -

from deeplift.layers import NonlinearMxtsMode
import deeplift.conversion.kerasapi_conversion as kc
from collections import OrderedDict

method_to_model = OrderedDict()
for method_name, nonlinear_mxts_mode in [
#The genomics default = rescale on conv layers, revealcance on fully-connected
('rescale_conv_revealcancel_fc', NonlinearMxtsMode.DeepLIFT_GenomicsDefault),
('rescale_all_layers', NonlinearMxtsMode.Rescale),
('revealcancel_all_layers', NonlinearMxtsMode.RevealCancel),
('grad_times_inp', NonlinearMxtsMode.Gradient),
('guided_backprop', NonlinearMxtsMode.GuidedBackprop)]:
method_to_model[method_name] = kc.convert_model_from_saved_files(
h5_file=keras_model_weights,
json_file=keras_model_json,
nonlinear_mxts_mode=nonlinear_mxts_mode)