本文整理匯總了Python中tensorflow.python.ops.gen_math_ops.arg_min方法的典型用法代碼示例。如果您正苦於以下問題：Python gen_math_ops.arg_min方法的具體用法？Python gen_math_ops.arg_min怎麽用？Python gen_math_ops.arg_min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.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: argmin
# 需要導入模塊: from tensorflow.python.ops import gen_math_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_math_ops import arg_min [as 別名]
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 開發者ID:PacktPublishing，項目名稱:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda，代碼行數:21，代碼來源:math_ops.py
示例2: argmin
# 需要導入模塊: from tensorflow.python.ops import gen_math_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_math_ops import arg_min [as 別名]
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
# 需要導入模塊: from tensorflow.python.ops import gen_math_ops [as 別名]
# 或者: from tensorflow.python.ops.gen_math_ops import arg_min [as 別名]
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)