本文整理汇总了Python中tensorflow.python.ops.gen_math_ops.arg_min方法的典型用法代码示例。如果您正苦于以下问题：Python gen_math_ops.arg_min方法的具体用法？Python gen_math_ops.arg_min怎么用？Python gen_math_ops.arg_min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.gen_math_ops的用法示例。
在下文中一共展示了gen_math_ops.arg_min方法的3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: argmin
# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import arg_min [as 别名]
def argmin(input,
axis=None,
name=None,
dimension=None,
output_type=dtypes.int64):
if dimension is not None:
if axis is not None:
raise ValueError("Cannot specify both 'axis' and 'dimension'")
axis = dimension
elif axis is None:
axis = 0
return gen_math_ops.arg_min(input, axis, name=name, output_type=output_type)
# pylint: enable=redefined-builtin
# pylint: disable=anomalous-backslash-in-string,protected-access
# pylint: disable=g-docstring-has-escape 开发者ID:PacktPublishing，项目名称:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda，代码行数:21，代码来源:math_ops.py
示例2: argmin
# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import arg_min [as 别名]
def argmin(input, axis=None, name=None, dimension=None):
if dimension is not None:
if axis is not None:
raise ValueError("Cannot specify both 'axis' and 'dimension'")
axis = dimension
elif axis is None:
axis = 0
return gen_math_ops.arg_min(input, axis, name) 示例3: argmin
# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import arg_min [as 别名]
def argmin(input, axis=None, name=None, dimension=None):
if dimension is not None:
if axis is not None:
raise ValueError("Cannot specify both 'axis' and 'dimension'")
axis = dimension
return gen_math_ops.arg_min(input, axis, name)