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6638 use np.prod instead of np.product #6639

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Merged
wyli merged 2 commits into from
Jun 22, 2023
Merged

6638 use np.prod instead of np.product #6639

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d8e6daf
fixes #6638
wyli Jun 21, 2023
d198b7c
Merge branch 'dev' into 6638-deprecated-remove
wyli Jun 22, 2023
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2 changes: 1 addition & 1 deletion monai/networks/nets/regressor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -143,7 +143,7 @@ def _get_layer(
return layer

def _get_final_layer(self, in_shape: Sequence[int]):
linear = nn.Linear(int(np.product(in_shape)), int(np.product(self.out_shape)))
linear = nn.Linear(int(np.prod(in_shape)), int(np.prod(self.out_shape)))
return nn.Sequential(nn.Flatten(), linear)

def forward(self, x: torch.Tensor) -> torch.Tensor:
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2 changes: 1 addition & 1 deletion monai/networks/nets/varautoencoder.py
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Expand Up @@ -120,7 +120,7 @@ def __init__(
for s in strides:
self.final_size = calculate_out_shape(self.final_size, self.kernel_size, s, padding) # type: ignore

linear_size = int(np.product(self.final_size)) * self.encoded_channels
linear_size = int(np.prod(self.final_size)) * self.encoded_channels
self.mu = nn.Linear(linear_size, self.latent_size)
self.logvar = nn.Linear(linear_size, self.latent_size)
self.decodeL = nn.Linear(self.latent_size, linear_size)
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