本文整理汇总了Python中tensorflow.python.ops.math_ops.igamma方法的典型用法代码示例。如果您正苦于以下问题：Python math_ops.igamma方法的具体用法？Python math_ops.igamma怎么用？Python math_ops.igamma使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类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个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: setUp
# 需要导入模块: from tensorflow.python.ops import math_ops [as 别名]
# 或者: from tensorflow.python.ops.math_ops import igamma [as 别名]
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
# 需要导入模块: from tensorflow.python.ops import math_ops [as 别名]
# 或者: from tensorflow.python.ops.math_ops import igamma [as 别名]
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
# 需要导入模块: from tensorflow.python.ops import math_ops [as 别名]
# 或者: from tensorflow.python.ops.math_ops import igamma [as 别名]
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
# 需要导入模块: from tensorflow.python.ops import math_ops [as 别名]
# 或者: from tensorflow.python.ops.math_ops import igamma [as 别名]
def _cdf(self, x):
return math_ops.igamma(self.alpha, self.beta * x)