I’ve installed tensorflow 2.17 on wsl Ubuntu, in order to use my GPU.
I’m running the example code :

import tensorflow as tf
import datetime

# Load the MNIST dataset
mnist = tf.keras.datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0

# Define a simple model
def create_model():
    return tf.keras.models.Sequential([
        tf.keras.layers.Flatten(input_shape=(28, 28)),
        tf.keras.layers.Dense(512, activation='relu'),
        tf.keras.layers.Dropout(0.2),
        tf.keras.layers.Dense(10, activation='softmax')
    ])

model = create_model()
model.compile(optimizer='adam',
              loss='sparse_categorical_crossentropy',
              metrics=['accuracy'])

# Define the TensorBoard callback
log_dir = "logs/fit/" + datetime.datetime.now().strftime("%Y%m%d-%H%M%S")
tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)

# Train the model
model.fit(x_train, y_train, epochs=5, validation_data=(x_test, y_test), callbacks=[tensorboard_callback])

the run through this error :

    Traceback (most recent call last):
  File "/home/engine/workspace/Prio/tb.py", line 30, in <module>
    model.fit(x_train, y_train, epochs=5, validation_data=(x_test, y_test), callbacks=[tensorboard_callback])
  File "/home/engine/miniconda3/envs/py10/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py", line 122, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/home/engine/workspace/Prio/tensorboard.py", line 8, in <module>
    tf.summary.scalar("my_metric", 0.5, step=step)
tensorflow.python.summary.tb_summary.TBNotInstalledError: TensorBoard is not installed, missing implementation for tf.summary.scalar

again tensorflow and tensorboard are both installed, so I realy don’t get the issue here ?

any idea what I’m missing here ?

thanks in advance!