| /external/pytorch/torch/distributions/ |
| D | fishersnedecor.py | 80 def rsample(self, sample_shape: _size = torch.Size(())) -> torch.Tensor: member in FisherSnedecor
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| D | studentT.py | 79 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in StudentT
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| D | cauchy.py | 70 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in Cauchy
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| D | transformed_distribution.py | 146 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in TransformedDistribution
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| D | laplace.py | 66 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in Laplace
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| D | uniform.py | 79 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in Uniform
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| D | beta.py | 77 def rsample(self, sample_shape: _size = ()) -> torch.Tensor: member in Beta
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| D | independent.py | 106 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in Independent
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| D | gamma.py | 72 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in Gamma
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| D | exponential.py | 62 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in Exponential
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| D | dirichlet.py | 74 def rsample(self, sample_shape: _size = ()) -> torch.Tensor: member in Dirichlet
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| D | multivariate_normal.py | 242 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in MultivariateNormal
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| D | lowrank_multivariate_normal.py | 202 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in LowRankMultivariateNormal
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| D | normal.py | 75 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in Normal
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| D | one_hot_categorical.py | 129 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in OneHotCategoricalStraightThrough
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| D | relaxed_bernoulli.py | 92 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in LogitRelaxedBernoulli
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| D | relaxed_categorical.py | 76 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in ExpRelaxedCategorical
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| D | wishart.py | 239 def rsample( member in Wishart
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| D | continuous_bernoulli.py | 171 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in ContinuousBernoulli
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| D | distribution.py | 169 def rsample(self, sample_shape: _size = torch.Size()) -> torch.Tensor: member in Distribution
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| /external/python/cpython3/Lib/test/ |
| D | test_marshal.py | 465 def helper3(self, rsample, recursive=False, simple=False): argument
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