fnet.nn_modules package¶
Submodules¶
fnet.nn_modules.dummy module¶
fnet.nn_modules.fnet_nn_2d module¶
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class
fnet.nn_modules.fnet_nn_2d.
Net
[source]¶ Bases:
torch.nn.modules.module.Module
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forward
(x)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
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class
fnet.nn_modules.fnet_nn_2d.
SubNet2Conv
(n_in, n_out)[source]¶ Bases:
torch.nn.modules.module.Module
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forward
(x)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
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fnet.nn_modules.fnet_nn_3d_params module¶
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class
fnet.nn_modules.fnet_nn_3d_params.
Net
(depth=4, mult_chan=32, in_channels=1, out_channels=1)[source]¶ Bases:
torch.nn.modules.module.Module
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forward
(x)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
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-
class
fnet.nn_modules.fnet_nn_3d_params.
SubNet2Conv
(n_in, n_out)[source]¶ Bases:
torch.nn.modules.module.Module
-
forward
(x)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
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