Searched refs:LogNormal (Results 1 – 7 of 7) sorted by relevance
| /external/pytorch/torch/distributions/ |
| D | log_normal.py | 11 class LogNormal(TransformedDistribution): class
39 new = self._get_checked_instance(LogNormal, _instance)
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| D | __init__.py | 99 from .log_normal import LogNormal
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| /external/rust/android-crates-io/crates/zerovec/benches/ |
| D | zerovec_serde.rs | 7 use rand_distr::{Distribution, LogNormal};
23 let dist = LogNormal::new(10.0, 1.0).unwrap(); in random_numbers()
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| D | zerovec.rs | 7 use rand_distr::{Distribution, LogNormal};
29 let dist = LogNormal::new(10.0, 1.0).unwrap(); in get_needles_and_haystack()
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| /external/pytorch/docs/source/ |
| D | distributions.rst | 206 :hidden:`LogNormal`
210 .. autoclass:: LogNormal
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| /external/pytorch/test/distributions/ |
| D | test_distributions.py | 71 LogNormal,
449 LogNormal,
1003 LogNormal,
2340 self.assertEqual(LogNormal(mean, std).sample().size(), (5, 5))
2341 self.assertEqual(LogNormal(mean, std).sample((7,)).size(), (7, 5, 5))
2342 self.assertEqual(LogNormal(mean_1d, std_1d).sample((1,)).size(), (1, 1))
2343 self.assertEqual(LogNormal(mean_1d, std_1d).sample().size(), (1,))
2344 self.assertEqual(LogNormal(0.2, 0.6).sample((1,)).size(), (1,))
2345 self.assertEqual(LogNormal(-0.7, 50.0).sample((1,)).size(), (1,))
2350 LogNormal(mean_delta, std_delta).sample(sample_shape=(1, 2)),
[all …]
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| /external/pytorch/aten/src/ATen/test/ |
| D | cpu_rng_test.cpp | 334 TEST_F(RNGTest, LogNormal) { in TEST_F() argument
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