Treescope is an interactive HTML pretty-printer and ND-array/tensor visualiser. Originally designed for penzai neural networks in jax.
- show shapes and the distribution of their values
NDArray
- colour-coding parts of neural network models to emphasise shared structures
render:
- numpy/jax/pytorch
NDArray
/tensor
or penzaiNamedArray
- neural network models
- dicts, lists, tuples, and sets
- dataclasses and namedtuples
- functions
- builtins and literals
- arbitrary pytree types
visualise some arrays
with treescope.active_autovisualizer.set_scoped(
treescope.ArrayAutovisualizer()
):
treescope.display(arrays) # inspect nested object containing NDArrays
treescope.render_array(arr) # NDArray visualizer
set as default ipython pretty-printer
treescope.basic_interactive_setup()
render to html
with treescope.active_autovisualizer.set_scoped(
treescope.ArrayAutovisualizer()
):
contents = treescope.render_to_html(some_arrays)
with open("/tmp/treescope_output.html", "w") as f:
f.write(contents)