CVNets: A library for training computer vision networks
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Getting Started
Sample Recipes
How To
Data Samplers
Model Zoo
CVNets: A library for training computer vision networks
loss_landscape package
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loss_landscape package
Submodules
loss_landscape.landscape_utils module
loss_landscape.landscape_utils.
rand_basis
(
ws
:
Dict
,
device
:
str
|
None
=
device(type='cpu')
)
[source]
loss_landscape.landscape_utils.
normalize_filter
(
bs
:
Dict
,
ws
:
Dict
)
[source]
loss_landscape.landscape_utils.
ignore_bn
(
ws
:
Dict
)
[source]
loss_landscape.landscape_utils.
create_bases
(
model
:
Module
,
device
:
str
|
None
=
device(type='cpu')
,
has_module
:
bool
|
None
=
False
)
[source]
loss_landscape.landscape_utils.
generate_plots
(
xx
,
yy
,
zz
,
model_name
,
results_loc
)
[source]
loss_landscape.landscape_utils.
plot_save_graphs
(
save_dir
:
str
,
model_name
:
str
,
grid_a
:
ndarray
,
grid_b
:
ndarray
,
loss_surface
:
ndarray
,
resolution
:
int
)
[source]
Module contents