Add lr_mult label to the network graph in draw_net.py#6273
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Noiredd merged 2 commits intoBVLC:masterfrom Mar 7, 2018
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Add lr_mult label to the network graph in draw_net.py#6273Noiredd merged 2 commits intoBVLC:masterfrom
Noiredd merged 2 commits intoBVLC:masterfrom
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rewrote the function body to make it more streamlined. does not affect inputs and outputs
Noiredd
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Mar 5, 2018
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Looks good to me, tested on a few nets of my own. Please fix this one little issue in the comments, and I'll merge.
python/caffe/draw.py
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| Parameters | ||
| ---------- | ||
| layer : caffe_pb2.LayerParameter | ||
| A Convolu--display_lrmtion, Deconvolution, or InnerProduct layer. |
adds an option to `python/draw_net.py` that allows to visualize information about the learning rate multiplier (if relevant) when drawing the network's graph.
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fixed, thanks! |
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Great, thank you for the contribution! |
oscarriddle
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Mar 18, 2018
draw_net.py refactoring and optional LR visualization * refactoring `get_layer_label` rewrote the function body to make it more streamlined. does not affect inputs and outputs * optionally visualize LR when drawing the network adds an option to `python/draw_net.py` that allows to visualize information about the learning rate multiplier (if relevant) when drawing the network's graph.
XinYao1994
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Aug 29, 2018
draw_net.py refactoring and optional LR visualization * refactoring `get_layer_label` rewrote the function body to make it more streamlined. does not affect inputs and outputs * optionally visualize LR when drawing the network adds an option to `python/draw_net.py` that allows to visualize information about the learning rate multiplier (if relevant) when drawing the network's graph.
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adds an option to visualize information about the learning rate (multipliers) when drawing a networks graph.
#6244 @Noiredd