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Searched
refs:mu_a
(Results
1 - 4
of
4
) sorted by null
/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
mvn_full_covariance_test.py
137
mu_a
, sigma_a = self._random_mu_and_sigma(batch_shape, event_shape)
140
loc=
mu_a
,
152
expected_kl_0 = _compute_non_batch_kl(
mu_a
[0, :], sigma_a[0, :, :],
154
expected_kl_1 = _compute_non_batch_kl(
mu_a
[1, :], sigma_a[1, :, :],
160
def _compute_non_batch_kl(
mu_a
, sigma_a, mu_b, sigma_b):
161
"""Non-batch KL for N(
mu_a
, sigma_a), N(mu_b, sigma_b)."""
168
q = (mu_b -
mu_a
).dot(sigma_b_inv).dot(mu_b -
mu_a
)
169
k =
mu_a
.shape[0]
mvn_tril_test.py
241
mu_a
, sigma_a = self._random_mu_and_sigma(batch_shape, event_shape)
244
loc=
mu_a
,
256
expected_kl = _compute_non_batch_kl(
mu_a
, sigma_a, mu_b, sigma_b)
263
mu_a
, sigma_a = self._random_mu_and_sigma(batch_shape, event_shape)
266
loc=
mu_a
,
278
expected_kl_0 = _compute_non_batch_kl(
mu_a
[0, :], sigma_a[0, :, :],
280
expected_kl_1 = _compute_non_batch_kl(
mu_a
[1, :], sigma_a[1, :, :],
289
mu_a
, sigma_a = self._random_mu_and_sigma(batch_shape, event_shape)
291
loc=
mu_a
,
409
def _compute_non_batch_kl(
mu_a
, sigma_a, mu_b, sigma_b)
[
all
...]
/external/tensorflow/tensorflow/python/kernel_tests/distributions/
normal_test.py
477
mu_a
= np.array([3.0] * batch_size)
482
n_a = normal_lib.Normal(loc=
mu_a
, scale=sigma_a)
488
kl_expected = ((
mu_a
- mu_b)**2 / (2 * sigma_b**2) + 0.5 * (
/external/clang/test/SemaCXX/
warn-thread-safety-analysis.cpp
[
all
...]
Completed in 389 milliseconds