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[Bugfix] Use .requires_grad instead of .require_grad in embedding module #743

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[Bugfix] Use .requires_grad instead of .require_grad in embedding module #743

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4 changes: 2 additions & 2 deletions layers/Embed.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ def __init__(self, d_model, max_len=5000):
super(PositionalEmbedding, self).__init__()
# Compute the positional encodings once in log space.
pe = torch.zeros(max_len, d_model).float()
pe.require_grad = False
pe.requires_grad = False

position = torch.arange(0, max_len).float().unsqueeze(1)
div_term = (torch.arange(0, d_model, 2).float()
Expand Down Expand Up @@ -47,7 +47,7 @@ def __init__(self, c_in, d_model):
super(FixedEmbedding, self).__init__()

w = torch.zeros(c_in, d_model).float()
w.require_grad = False
w.requires_grad = False

position = torch.arange(0, c_in).float().unsqueeze(1)
div_term = (torch.arange(0, d_model, 2).float()
Expand Down