Can not install TensorBoard as Keras callback - tensorflow

Question

I get the following error when attempting to create a TB callback.
I am using PlaidML in a Keras sequential model in a Jupiter notebook in MacOS 10.15.7 with
Keras version 2.2.4, &
TensorFlow 2.4.1
import plaidml.keras
plaidml.keras.install_backend()
import os
os.environ['KERAS_BACKEND'] = 'plaidml.keras.backend'
import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras import backend as K
import numpy as np
import pathlib
import PIL
import PIL.Image
# tensorflow for TensorBoard
import tensorflow
logs_dir = '/Users/x/TensorFlowFolder/logs'
from keras.callbacks import TensorBoard
callbacks_list = [
keras.callbacks.EarlyStopping(
monitor='val_loss',
patience=2,
),
keras.callbacks.ModelCheckpoint(
'best_modelFour.h5',
monitor='val_loss',
verbose=1,
save_best_only=True
),
keras.callbacks.TensorBoard(
log_dir=logs_dir,
histogram_freq=0,
write_graph=True, write_images=True
)
]
The Error chain is
> ModuleNotFoundError Traceback (most recent call
> last) ~/opt/anaconda3/lib/python3.8/site-packages/keras/callbacks.py
> in __init__(self, log_dir, histogram_freq, batch_size, write_graph,
> write_grads, write_images, embeddings_freq, embeddings_layer_names,
> embeddings_metadata, embeddings_data, update_freq)
> 744 import tensorflow as tf
> --> 745 from tensorflow.contrib.tensorboard.plugins import projector
> 746 except ImportError:
>
> ModuleNotFoundError: No module named 'tensorflow.contrib'
>
> During handling of the above exception, another exception occurred:
>
> ImportError Traceback (most recent call
> last) <ipython-input-4-93b8c44b3056> in <module>
> 15 save_best_only=True
> 16 ),
> ---> 17 keras.callbacks.TensorBoard(
> 18 log_dir=logs_dir,
> 19 histogram_freq=0,
>
> ~/opt/anaconda3/lib/python3.8/site-packages/keras/callbacks.py in
> __init__(self, log_dir, histogram_freq, batch_size, write_graph, write_grads, write_images, embeddings_freq, embeddings_layer_names,
> embeddings_metadata, embeddings_data, update_freq)
> 745 from tensorflow.contrib.tensorboard.plugins import projector
> 746 except ImportError:
> --> 747 raise ImportError('You need the TensorFlow module installed to '
> 748 'use TensorBoard.')
> 749
>
> ImportError: You need the TensorFlow module installed to use
> TensorBoard.
TensorBoard is apparently trying to get the module Projector from TensorFlow.contrib. TensorFlow.contrib has apparently been removed from TensorFlow for quite some time. The second error appears to be spurious since TF is successfully installed. I imagine that if this really broke TensorBoard there would be a big squawk, so what am I doing wrong?

Answer 1

Keras 2.2 does not support TensorFlow 2. Excerpt from the release of the 2.2.5:
Keras 2.2.5 is the last release of Keras that implements the 2.2.* API. It is the last release to only support TensorFlow 1 (as well as Theano and CNTK).
Downgrade your TensorFlow version to the 1.15.