本文整理匯總了Python中tensorflow.python.ops.math_ops.int32方法的典型用法代碼示例。如果您正苦於以下問題:Python math_ops.int32方法的具體用法?Python math_ops.int32怎麽用?Python math_ops.int32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.int32方法的5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: _param_shapes
# 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 int32 [as 別名]
def _param_shapes(sample_shape):
return dict(
zip(("df", "loc", "scale"), (
[ops.convert_to_tensor(
sample_shape, dtype=dtypes.int32)] * 3)))
示例2: _event_shape_tensor
# 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 int32 [as 別名]
def _event_shape_tensor(self):
return constant_op.constant([], dtype=math_ops.int32)
示例3: _param_shapes
# 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 int32 [as 別名]
def _param_shapes(sample_shape):
return dict(
zip(("df", "mu", "sigma"), (
[ops.convert_to_tensor(
sample_shape, dtype=dtypes.int32)] * 3)))
示例4: _event_shape
# 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 int32 [as 別名]
def _event_shape(self):
return constant_op.constant([], dtype=math_ops.int32)
示例5: _param_shapes
# 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 int32 [as 別名]
def _param_shapes(sample_shape):
return dict(
zip(("df", "mu", "sigma"), ([ops.convert_to_tensor(
sample_shape, dtype=dtypes.int32)] * 3)))