Skip to content

Commit ed2f968

Browse files
committed
Add 1 to bias dimension
1 parent b577d05 commit ed2f968

File tree

4 files changed

+4
-4
lines changed

4 files changed

+4
-4
lines changed

cpp/lltm.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -32,7 +32,7 @@ def __init__(self, input_features, state_size):
3232
self.state_size = state_size
3333
self.weights = nn.Parameter(
3434
torch.Tensor(3 * state_size, input_features + state_size))
35-
self.bias = nn.Parameter(torch.Tensor(3 * state_size))
35+
self.bias = nn.Parameter(torch.Tensor(1, 3 * state_size))
3636
self.reset_parameters()
3737

3838
def reset_parameters(self):

cuda/lltm.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -33,7 +33,7 @@ def __init__(self, input_features, state_size):
3333
self.state_size = state_size
3434
self.weights = nn.Parameter(
3535
torch.Tensor(3 * state_size, input_features + state_size))
36-
self.bias = nn.Parameter(torch.Tensor(3 * state_size))
36+
self.bias = nn.Parameter(torch.Tensor(1, 3 * state_size))
3737
self.reset_parameters()
3838

3939
def reset_parameters(self):

python/lltm.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -14,7 +14,7 @@ def __init__(self, input_features, state_size):
1414
# input_features + state_size because we will multiply with [input, h].
1515
self.weights = torch.nn.Parameter(
1616
torch.Tensor(3 * state_size, input_features + state_size))
17-
self.bias = torch.nn.Parameter(torch.Tensor(3 * state_size))
17+
self.bias = torch.nn.Parameter(torch.Tensor(1, 3 * state_size))
1818
self.reset_parameters()
1919

2020
def reset_parameters(self):

python/lltm_baseline.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -86,7 +86,7 @@ def __init__(self, input_features, state_size):
8686
self.state_size = state_size
8787
self.weights = nn.Parameter(
8888
torch.Tensor(3 * state_size, input_features + state_size))
89-
self.bias = nn.Parameter(torch.Tensor(3 * state_size))
89+
self.bias = nn.Parameter(torch.Tensor(1, 3 * state_size))
9090
self.reset_parameters()
9191

9292
def reset_parameters(self):

0 commit comments

Comments
 (0)