Questions tagged [tensorboard]
TensorBoard is a visualization suite for the TensorFlow library. It can be used to visualize the TensorFlow computation graph, plot quantitative metrics about the execution of the graph, and show additional data (e.g. images) that pass through it.
tensorboard
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ValueError: GetLogdirSubdirectories: path exists and is not a directory, logs
I'm using Tensorboard, which is in the pytorch package, and I've generated a quadratic function value and written it into a folder called Logs, but when I type Tensorboard --logdir=logs in the ...
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AttributeError: `np.string_` was removed in the NumPy 2.0 release. Use `np.bytes_` instead.. Did you mean: 'strings'?
I m interested in seeing neural network as graph using tensorboard. I have constructed a network in pytorch with following code-
import torch
BATCH_SIZE = 16
DIM_IN = 1000
HIDDEN_SIZE = 100
DIM_OUT = ...
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Tensorboard ERROR: Failed to capture profile: empty trace result on tensorflow 2.10.1 on windows
friends, Help me to resolve this problem please
monitor="val_accuracy"
callbacks=[TensorBoard(get_run_logdir(),profile_batch = '0,{}'.format(batch_size),histogram_freq=1),
...
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I am getting this error ValueError: Object arrays cannot be loaded when allow_pickle=False, Please help to solve it
from sklearn.model_selection import train_test_split
from keras.utils import to_categorical
from keras.models import Sequential
from keras.layers import LSTM, Dense
from keras.callbacks ...
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I'm trying to visualize the learning process of my deep learning model and it throws the error : No dashboards are active for the current data set
I'm trying to visualize the model training logs using TensorBoard but it is throwing the above error. Also, the logs folder in my Drive is not storing any logs of when the code is being run.
This is ...
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How can I log Q-values of DQN using custom callback from stable baselines 3 in Tensorboard?
I am trying to log Q-values using custom callback, but I am new in this field and not sure the code below is the correct way to do it.
class CustomLoggingCallback(BaseCallback):
def __init__(self, ...
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401 error trying to capture Profile using Vertex AI Tensorboard
I am trying to use Vertex AI Tensorflow Profiler to profile my custom training job based on this documentation.
My custom job runs successfully to completion, but I am unable to successfully capture a ...
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How to get the tensorboard url in VertexAI
from google.cloud import aiplatform
...
aiplatform.init()
aiplatform.start_upload_tb_log(tensorboard_experiment_name=..., logdir=...)
In VertexAI this prints
View your Tensorboard at https:...
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TensorBoard in Jupyterlab - only works with strange sequence of commands
I run jupyterlab in a docker container using docker-compose.
Now I observe a strange behaviour that I do not understand.
I use the example from the PyTorch website.
I do the followig scenarios in my ...
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Continue TensorBoard Logging from a Previous Timestep When Resuming Training with Stable Baselines3
I am working with a reinforcement learning model using Stable Baselines3, specifically a PPO model. I train my model for a certain number of timesteps, let's say 500, using the following code:
log_dir=...
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Failed to start a tensorboard session
i have a problem with my tensorboard when i do ctrl+shift+p to launch my tensorboard in vscode here is the error it shows me:
Failed to start a TensorBoard session due to the following error:Timed out ...
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TensorBoard can’t find your event files.Log directory: s3://bucketname/tensorboard_log/
tensorflow version:
tensorboard 2.11.2
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorflow 2.11.0
tensorflow-addons 0.19.0
tensorflow-estimator 2.11.0
tensorflow-io 0.34.0
tensorflow-...
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Can't get full data log from TensorBoard (Only 1000)
When I download the scalar data from TensorBoard, it only exports 1000 steps.
The tutorial online requires modifying "scalar_metadata.PLUGIN_NAME" in application.py.
However, after I opened ...
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TensorBoard HParams not showing accuracy metrics for hyperparameter tuning
I am working on hyperparameter tuning in TensorFlow and have set up an experiment using the HParams plugin in TensorBoard to log different configurations. My models are being trained with variations ...
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AttributeError: module 'tensorflow' has no attribute 'Summary'
When running this code:
def scalar_summary(self, tag, value, step):
"""Log a scalar variable."""
summary = tf.Summary(value=[tf.Summary.Value(tag=tag, ...
