Helper Module for Deep Learning.
Module that provides tools to display a graph.
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pynet.plotting.network.plot_net(model, shape, static=True, outfileroot=None)[source]¶ Save a PDF file containing the network graph representation.
Sometimes the ‘get_trace_graph’ pytorch function fails: use the ‘plot_net_rescue’ function insteed.
- Parameters
model: Net
the network model.
shape: list of int
the shape of a classical input batch dataset.
static: bool, default True
create a static or dynamic view.
outfileroot: str, default None
the file path without extension to generate PDF.
- Returns
outfile: str
the path to the generated PDF.
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pynet.plotting.network.plot_net_rescue(model, shape, outfileroot=None)[source]¶ Save a PNG file containing the network graph representation.
- Parameters
model: Net
the network model.
shape: list of int
the shape of a classical input batch dataset.
outfileroot: str, default None
the file path without extension.
- Returns
outfile: str
the path to the generated PNG.
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Inspired by AZMIND template.