Avoid sampling -inf from soft Laplace distribution (solves #1186) #1189
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…s already exclusive.
fehiepsi
approved these changes
Oct 13, 2021
| dtype = jnp.result_type(float) | ||
| finfo = jnp.finfo(dtype) | ||
| minval = finfo.tiny | ||
| u = random.uniform(key, shape=sample_shape + self.batch_shape, minval=minval) |
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Also, thanks for cleaning up the event shape. +1
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Similar issue to #1184. Fixed by making the underlying uniform distribution sample from
(0, 1)(exclusive, exclusive), as opposed to the previous[0, 1)(inclusive, exclusive).