Download 2021 Graph From Tensorboard -

Are you looking to export a or just the visual layout of the model?

If you need to move the graph data to another tool or save it as a standalone file, you can extract it directly from your event files using Python.

Launch TensorBoard and navigate to the "Graphs" tab at the top.

Use the sidebar on the left to select the specific run/model you want to visualize.

Zoom in/out and expand any namespaces (the "+" icons) until the graph looks exactly how you want it.

Use the browser's "Print" function to save as PDF. For interactive sharing: Use tensorboard dev upload .

import tensorflow as tf # Path to your TensorBoard log file log_dir = "logs/fit/your_model_run/" # Read the event file and extract the graph for event in tf.compat.v1.train.summary_iterator(log_dir): if event.graph_def: with open("model_graph.pb", "wb") as f: f.write(event.graph_def) print("Graph saved as model_graph.pb") break Use code with caution. 4. Why "Download" Options Change

TensorBoard is the go-to visualization toolkit for TensorFlow and PyTorch, but sometimes you need to take those complex model graphs out of the browser and into a report, paper, or presentation.