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Fix df coercion in MultivariateStudentT #2228

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merged 3 commits into from
Dec 19, 2019
Merged

Fix df coercion in MultivariateStudentT #2228

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0040243
Fix df coercion in MultivariateStudentT
fritzo Dec 18, 2019
e58eeda
flake8
fritzo Dec 18, 2019
f411268
Merge branch 'dev' into fix-multivariate-studentt
fritzo Dec 19, 2019
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5 changes: 3 additions & 2 deletions pyro/distributions/multivariate_studentt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

import torch
from torch.distributions import constraints
from torch.distributions.utils import broadcast_all, lazy_property
from torch.distributions.utils import lazy_property

from pyro.distributions.torch import Chi2
from pyro.distributions.torch_distribution import TorchDistribution
Expand All @@ -28,7 +28,8 @@ class MultivariateStudentT(TorchDistribution):
def __init__(self, df, loc, scale_tril, validate_args=None):
dim = loc.size(-1)
assert scale_tril.shape[-2:] == (dim, dim)
df, = broadcast_all(df)
if not isinstance(df, torch.Tensor):
df = loc.new_tensor(df)
batch_shape = broadcast_shape(df.shape, loc.shape[:-1], scale_tril.shape[:-2])
event_shape = (dim,)
self.df = df.expand(batch_shape)
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