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[PyTorch] Fix module types (LazyLinear -> Linear) #2225

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Jul 31, 2022
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[PyTorch] Fix module types (LazyLinear -> Linear) #2225

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10 changes: 5 additions & 5 deletions chapter_builders-guide/init-param.md
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Original file line number Diff line number Diff line change
Expand Up @@ -89,7 +89,7 @@ net[0].weight.data()[0]
```{.python .input n=6}
%%tab pytorch
def init_normal(module):
if type(module) == nn.LazyLinear:
if type(module) == nn.Linear:
nn.init.normal_(module.weight, mean=0, std=0.01)
nn.init.zeros_(module.bias)
net.apply(init_normal)
Expand Down Expand Up @@ -122,7 +122,7 @@ net[0].weight.data()[0]
```{.python .input n=9}
%%tab pytorch
def init_constant(module):
if type(module) == nn.LazyLinear:
if type(module) == nn.Linear:
nn.init.constant_(module.weight, 1)
nn.init.zeros_(module.bias)
net.apply(init_constant)
Expand Down Expand Up @@ -161,10 +161,10 @@ print(net[1].weight.data())
```{.python .input n=12}
%%tab pytorch
def init_xavier(module):
if type(module) == nn.LazyLinear:
if type(module) == nn.Linear:
nn.init.xavier_uniform_(module.weight)
def init_42(module):
if type(module) == nn.LazyLinear:
if type(module) == nn.Linear:
nn.init.constant_(module.weight, 42)

net[0].apply(init_xavier)
Expand Down Expand Up @@ -238,7 +238,7 @@ net[0].weight.data()[:2]
```{.python .input n=15}
%%tab pytorch
def my_init(module):
if type(module) == nn.LazyLinear:
if type(module) == nn.Linear:
print("Init", *[(name, param.shape)
for name, param in module.named_parameters()][0])
nn.init.uniform_(module.weight, -10, 10)
Expand Down