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  /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
logistic_test.py 83 logcdf = dist.log_cdf(x)
84 expected_logcdf = stats.logistic.logcdf(x, np_loc, scale)
86 self.assertEqual(logcdf.get_shape(), (6,))
87 self.assertAllClose(logcdf.eval(), expected_logcdf)
poisson_test.py 118 self.assertAllClose(log_cdf.eval(), stats.poisson.logcdf(x, lam_v))
134 self.assertAllClose(log_cdf.eval(), stats.poisson.logcdf(x, lam_v))
geometric_test.py 234 expected_log_cdf = stats.geom.logcdf(x, 1., loc=-1)
negative_binomial_test.py 102 expected_log_cdf = stats.nbinom.logcdf(x, n=total_count, p=1 - probs_v)
half_normal_test.py 142 expected_logcdf = stats.halfnorm(scale=scale).logcdf(x)
quantized_distribution_test.py 271 self.assertAllClose(sp_normal.logcdf(x), qdist.log_cdf(x).eval())
transformed_distribution_test.py 74 [log_normal.log_cdf, sp_dist.logcdf],
cauchy_test.py 200 expected_cdf = stats.cauchy(loc, scale).logcdf(x)
  /external/tensorflow/tensorflow/python/kernel_tests/distributions/
laplace_test.py 156 expected_cdf = stats.laplace.logcdf(x, loc_v, scale=scale_v)
special_math_test.py 396 expected = scipy_dist.logcdf(grid.astype(scipy_dtype))
normal_test.py 213 expected_cdf = stats.norm(mu, sigma).logcdf(x)
student_t_test.py 127 expected_log_cdf = stats.t.logcdf(t, df_v, loc=mu_v, scale=sigma_v)

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