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zhwesky2010
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Jun 10, 2025
zhwesky2010
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Jun 11, 2025
| "torch.distributions.TransformedDistribution": "torch.distributions.transformed_distribution.TransformedDistribution", | ||
| "torch.distributions.Uniform": "torch.distributions.uniform.Uniform", | ||
| "torch.divide": "torch.div", | ||
| "torch.double": "torch.float64", |
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还有一个torch.cfloat，下个PR统一加到文档与Matcher吧
| import torch | ||
| src = torch.tensor([1., 2., 3., 4., 5., 6.]) | ||
| result = src.bernoulli_(0.5) | ||
| result = src.bernoulli_(1.0) |
Collaborator
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p=1.0和p=0的两个case，各来1个吧
同时p=1.0和p=0下，不用打开check_value=False，值应该是对齐的。通过这种形式注释单测：
# paddle.Tensor.bernoulli_ parameter p is different from torch, which has bug
def _test_case_1():
...
# paddle.Tensor.bernoulli_ parameter p is different from torch, which has bug
def _test_case_2():
...
| obj.run( | ||
| pytorch_code, | ||
| ["result"], | ||
| reason="paddle.logaddexp does not support different data type", |
Collaborator
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这么描述：paddle.logaddexp does not support type promotion between int and float.
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