本文整理匯總了Python中tensorflow.python.ops.math_ops.igamma方法的典型用法代碼示例。如果您正苦於以下問題：Python math_ops.igamma方法的具體用法？Python math_ops.igamma怎麽用？Python math_ops.igamma使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.python.ops.math_ops的用法示例。
在下文中一共展示了math_ops.igamma方法的4個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: setUp
# 需要導入模塊: from tensorflow.python.ops import math_ops [as 別名]
# 或者: from tensorflow.python.ops.math_ops import igamma [as 別名]
def setUp(self):
super(FloatBinaryOpsTest, self).setUp()
self.ops = [
('igamma', None, math_ops.igamma, core.igamma),
('igammac', None, math_ops.igammac, core.igammac),
('zeta', None, math_ops.zeta, core.zeta),
('polygamma', None, math_ops.polygamma, core.polygamma),
('maximum', None, math_ops.maximum, core.maximum),
('minimum', None, math_ops.minimum, core.minimum),
('squared_difference', None, math_ops.squared_difference,
core.squared_difference),
]
total_size = np.prod([v.size for v in self.original_lt.axes.values()])
test_lt = core.LabeledTensor(
math_ops.cast(self.original_lt, dtypes.float32) / total_size,
self.original_lt.axes)
self.test_lt_1 = test_lt
self.test_lt_2 = 1.0 - test_lt
self.test_lt_1_broadcast = self.test_lt_1.tensor
self.test_lt_2_broadcast = self.test_lt_2.tensor
self.broadcast_axes = self.test_lt_1.axes 示例2: _cdf
# 需要導入模塊: from tensorflow.python.ops import math_ops [as 別名]
# 或者: from tensorflow.python.ops.math_ops import igamma [as 別名]
def _cdf(self, x):
x = self._maybe_assert_valid_sample(x)
# Note that igamma returns the regularized incomplete gamma function,
# which is what we want for the CDF.
return math_ops.igamma(self.concentration, self.rate * x) 示例3: _log_cdf
# 需要導入模塊: from tensorflow.python.ops import math_ops [as 別名]
# 或者: from tensorflow.python.ops.math_ops import igamma [as 別名]
def _log_cdf(self, x):
x = control_flow_ops.with_dependencies([check_ops.assert_positive(x)] if
self.validate_args else [], x)
contrib_tensor_util.assert_same_float_dtype(tensors=[x], dtype=self.dtype)
# Note that igamma returns the regularized incomplete gamma function,
# which is what we want for the CDF.
return math_ops.log(math_ops.igamma(self.alpha, self.beta * x)) 示例4: _cdf
# 需要導入模塊: from tensorflow.python.ops import math_ops [as 別名]
# 或者: from tensorflow.python.ops.math_ops import igamma [as 別名]
def _cdf(self, x):
return math_ops.igamma(self.alpha, self.beta * x)