Skip to content

[Update utils.py] Allow arbitrary dimension for logsumexp #8031

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
zuoxingdong wants to merge 1 commit into from
Closed

[Update utils.py] Allow arbitrary dimension for logsumexp #8031

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 5 additions & 4 deletions torch/distributions/utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -113,17 +113,18 @@ def softmax(tensor):
return F.softmax(tensor, -1)


def log_sum_exp(tensor, keepdim=True):
def log_sum_exp(tensor, dim=-1, keepdim=True):
r"""
Numerically stable implementation for the `LogSumExp` operation. The
summing is done along the last dimension.
summing is done along the required dimension. (Default: last dimension)

Args:
tensor (torch.Tensor)
dim (int): The dimension to sum up. Default: -1
keepdim (Boolean): Whether to retain the last dimension on summing.
"""
max_val = tensor.max(dim=-1, keepdim=True)[0]
return max_val + (tensor - max_val).exp().sum(dim=-1, keepdim=keepdim).log()
max_val = tensor.max(dim=dim, keepdim=True)[0]
return max_val + (tensor - max_val).exp().sum(dim=dim, keepdim=keepdim).log()


def logits_to_probs(logits, is_binary=False):
Expand Down