Cannot get Tensorboard visualization tool to open - r

Question

I cannot get the TensorBoard to open using RStudio and Keras package.
I am trying to duplicate the TensorBoard using the Keras package with R Studio as shown here: https://tensorflow.rstudio.com/tools/tensorboard/tensorboard/
Either I have a problem or I don't understand what needs to be done.
I am using these instructions:
# launch TensorBoard (data won't show up until after the first epoch)
tensorboard("logs/run_a")
# fit the model with the TensorBoard callback
history <- model %>% fit(
x_train, y_train,
batch_size = batch_size,
epochs = epochs,
verbose = 1,
callbacks = callback_tensorboard("logs/run_a"),
validation_split = 0.2
)
I get this error after running tensorboard("logs/run_a"):
> tensorboard("logs/run_a")
Error in if (tensorboard_version() < "2.0") { :
argument is of length zero
I have tried these versions:
tensorboard("/Users/kevinwilliams/Documents/r-studio-and-git/MNIST/logs/run_a")
tensorboard("logs/run_a")
tensorboard(log_dir = "logs/run_a")
tensorboard(log_dir = "logs/run_a", launch_browser = TRUE)`
The TensorBoard will not open.
The files structure of "logs" and "logs/run_a" was automatically created by these commands.
Training and Validation "events" are being saved to the file locations.
"fitting" the model does run and execute with no error. The output is sent to the RStudio Viewer and not to the TensorBoard.
Keras V2.7.0
RStudio 1.4.1717
R 4.1.1

Answer 1

It is just a file logging me even plots with matlibplot 👈👈👈
plt.plot(history.history['accuracy'], label='accuracy')
plt.plot(history.history['val_accuracy'], label = 'val_accuracy')
plt.xlabel('Epoch')
plt.ylabel('Accuracy')
plt.ylim([0, 1]) # 0.5 - 1
plt.legend(loc='lower right')
Can you see there is some logging generated at target folder where you specific or checkpoints when you read it.?
Only using a tf.profile services to communicate with sub-services they already listening.
options = tf.profiler.experimental.ProfilerOptions(host_tracer_level = 3,
python_tracer_level = 1, device_tracer_level = 1)
tf.profiler.experimental.start(log_dir, options = options)
tf.profiler.experimental.server.start(6009)
tf.profiler.experimental.stop()