View source on GitHub |
Visualizes an object-based checkpoint (from tf.train.Checkpoint
).
tf.contrib.checkpoint.dot_graph_from_checkpoint(
save_path
)
Useful for inspecting checkpoints and debugging loading issues.
Example usage from Python (requires pydot):
import tensorflow as tf
import pydot
dot_string = tf.contrib.checkpoint.dot_graph_from_checkpoint('/path/to/ckpt')
parsed, = pydot.graph_from_dot_data(dot_string)
parsed.write_svg('/tmp/tensorflow/visualized_checkpoint.svg')
Example command line usage:
python -c "import tensorflow as tf;\
print(tf.contrib.checkpoint.dot_graph_from_checkpoint('/path/to/ckpt'))"\
| dot -Tsvg > /tmp/tensorflow/checkpoint_viz.svg
Args | |
---|---|
save_path
|
The checkpoint prefix, as returned by tf.train.Checkpoint.save
or tf.train.latest_checkpoint .
|
Returns | |
---|---|
A graph in DOT format as a string. |