Searched refs:log_survival (Results 1 – 25 of 26) sorted by relevance
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| /third_party/mindspore/tests/st/probability/distribution/ |
| D | test_logistic.py | 194 return self.l.log_survival(x_)
202 log_survival = LogSF()
203 output = log_survival(Tensor([1.0, 2.0], dtype=dtype.float32))
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| D | test_cauchy.py | 224 return self.c.log_survival(x_)
232 log_survival = LogSF()
233 output = log_survival(Tensor([1.0, 2.0], dtype=dtype.float32))
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| D | test_gumbel.py | 240 return self.gum.log_survival(x_)
250 log_survival = LogSF()
251 output = log_survival(Tensor([1.0, 2.0], dtype=dtype.float32))
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| D | test_gamma.py | 232 return self.g.log_survival(x_)
240 log_survival = LogSF()
241 output = log_survival(Tensor([2.0], dtype=dtype.float32))
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| D | test_normal.py | 228 return self.n.log_survival(x_)
236 log_survival = LogSF()
237 output = log_survival(Tensor([1.0, 2.0], dtype=dtype.float32))
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| D | test_lognormal.py | 227 return self.ln.log_survival(x_)
235 log_survival = LogSF()
236 output = log_survival(Tensor([1.0, 2.0], dtype=dtype.float32))
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| D | test_categorical_gpu.py | 50 out6 = self.b.log_survival(value, probs)
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| D | test_cauchy_pynative.py | 60 out6 = self.b.log_survival(value)
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| D | test_poisson.py | 198 return self.p.log_survival(x_)
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| D | test_categorical.py | 242 return self.c.log_survival(x_)
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| D | test_uniform.py | 198 return self.u.log_survival(x_)
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| D | test_exponential.py | 221 return self.e.log_survival(x_)
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| D | test_bernoulli.py | 256 return self.b.log_survival(x_)
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| D | test_geometric.py | 253 return self.g.log_survival(x_)
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| /third_party/mindspore/tests/ut/python/nn/probability/distribution/ |
| D | test_poisson.py | 74 log_sf = self.p.log_survival(value)
100 log_sf = self.p.log_survival(value, rate)
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| D | test_logistic.py | 74 log_sf = self.logistic.log_survival(value)
101 log_sf = self.logistic.log_survival(value, mu, s)
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| D | test_exponential.py | 70 log_sf = self.e.log_survival(value)
96 log_sf = self.e.log_survival(value, rate)
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| D | test_geometric.py | 80 log_sf = self.g.log_survival(value)
109 log_sf = self.g.log_survival(value, probs)
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| D | test_cauchy.py | 74 log_sf = self.cauchy.log_survival(value)
101 log_sf = self.cauchy.log_survival(value, mu, s)
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| D | test_bernoulli.py | 80 log_sf = self.b.log_survival(value)
109 log_sf = self.b.log_survival(value, probs)
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| D | test_uniform.py | 85 log_sf = self.u.log_survival(value)
114 log_sf = self.u.log_survival(value, low, high)
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| D | test_lognormal.py | 75 log_sf = self.lognormal.log_survival(value)
102 log_sf = self.lognormal.log_survival(value, mean, sd)
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| D | test_categorical.py | 104 log_sf = self.c.log_survival(value)
133 log_sf = self.c.log_survival(value, probs)
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| D | test_normal.py | 75 log_sf = self.normal.log_survival(value)
102 log_sf = self.normal.log_survival(value, mean, sd)
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| D | test_gamma.py | 81 log_sf = self.gamma.log_survival(value)
108 log_sf = self.gamma.log_survival(value, concentration, rate)
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