code stringlengths 3 6.57k |
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tf.identity(self.loc) |
_variance(self) |
tf.zeros_like(self.loc) |
_mode(self) |
self.mean() |
_sample_n(self, n, seed=None) |
tf.convert_to_tensor(self.loc) |
tf.concat([[n], self._batch_shape_tensor(loc=loc) |
self._event_shape_tensor(loc=loc) |
_default_event_space_bijector(self) |
_parameter_control_dependencies(self, is_init) |
tensorshape_util.rank(self.loc.shape) |
tensorshape_util.rank(self.loc.shape) |
ValueError(msg) |
assert_util.assert_rank_at_least(self.loc, 1, message=msg) |
tensor_util.is_ref(self.atol) |
tensor_util.is_ref(self.rtol) |
Deterministic(_BaseDeterministic) |
function (pmf) |
function (cdf) |
pmf(x; loc) |
cdf(x; loc) |
tfp.distributions.Deterministic(0.) |
constant.prob(0.) |
constant.prob(2.) |
tfp.distributions.Deterministic(loc) |
constant.prob(x) |
pmf(x; loc) |
Abs(x - loc) |
Abs(loc) |
point (or batch of points) |
statistics
(e.g., mean, mode, variance) |
dict(locals() |
super(Deterministic, self) |
_params_event_ndims(cls) |
dict(loc=0, atol=0, rtol=0) |
_batch_shape_tensor(self, loc=None) |
tf.shape(self.loc if loc is None else loc) |
tf.broadcast_dynamic_shape(tf.shape(self.atol) |
tf.shape(self.rtol) |
_batch_shape(self) |
tf.broadcast_static_shape(self.atol.shape, self.rtol.shape) |
_event_shape_tensor(self, loc=None) |
tf.constant([], dtype=tf.int32) |
_event_shape(self) |
tf.TensorShape([]) |
_prob(self, x) |
tf.convert_to_tensor(self.loc) |
tf.cast(tf.abs(x - loc) |
self._slack(loc) |
_cdf(self, x) |
tf.identity(self.loc) |
tf.cast(x >= loc - self._slack(loc) |
VectorDeterministic(_BaseDeterministic) |
function (pmf) |
pmf(x; loc) |
Abs(x - loc) |
Abs(loc) |
tfd.Deterministic([0., 2.]) |
constant.prob([0., 2.]) |
constant.prob([0., 3.]) |
tfd.VectorDeterministic(loc) |
constant.prob([[0., 1.], [1.9, 3.], [3.99, 5.]]) |
self.prob([]) |
pmf(x; loc) |
Abs(x - loc) |
Abs(loc) |
point (or batch of points) |
statistics
(e.g., mean, mode, variance) |
dict(locals() |
super(VectorDeterministic, self) |
_params_event_ndims(cls) |
dict(loc=1, atol=1, rtol=1) |
_batch_shape_tensor(self, loc=None) |
tf.shape(self.loc if loc is None else loc) |
tf.broadcast_dynamic_shape(tf.shape(self.atol) |
tf.shape(self.rtol) |
_batch_shape(self) |
tf.broadcast_static_shape(self.atol.shape, self.rtol.shape) |
_event_shape_tensor(self, loc=None) |
tf.shape(self.loc if loc is None else loc) |
_event_shape(self) |
_prob(self, x) |
tf.convert_to_tensor(self.loc) |
tf.reduce_all(tf.abs(x - loc) |
self._slack(loc) |
_sample_control_dependencies(self, x) |
assertions.append(assert_util.assert_rank_at_least(x, 1) |
self.event_shape_tensor() |
tf.gather(tf.shape(x) |
tf.rank(x) |
kullback_leibler.RegisterKL(_BaseDeterministic, distribution.Distribution) |
_kl_deterministic_distribution(a, b, name=None) |
KL(a || b) |
KL(a || b) |
tf.name_scope(name or 'kl_deterministic_distribution') |
b.log_prob(a.loc) |
TestAppConfig(AppConfig) |
__init__(self, start, end) |
start.copy() |
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