本文整理汇总了Python中tensorflow.softmax方法的典型用法代码示例。如果您正苦于以下问题:Python tensorflow.softmax方法的具体用法?Python tensorflow.softmax怎么用?Python tensorflow.softmax使用的例子?那么, 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
的用法示例。
在下文中一共展示了tensorflow.softmax方法的2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: _build_score_converter
# 需要导入模块: import tensorflow [as 别名]
# 或者: from tensorflow import softmax [as 别名]
def _build_score_converter(score_converter_config):
"""Builds score converter based on the config.
Builds one of [tf.identity, tf.sigmoid, tf.softmax] score converters based on
the config.
Args:
score_converter_config: post_processing_pb2.PostProcessing.score_converter.
Returns:
Callable score converter op.
Raises:
ValueError: On unknown score converter.
"""
if score_converter_config == post_processing_pb2.PostProcessing.IDENTITY:
return tf.identity
if score_converter_config == post_processing_pb2.PostProcessing.SIGMOID:
return tf.sigmoid
if score_converter_config == post_processing_pb2.PostProcessing.SOFTMAX:
return tf.nn.softmax
raise ValueError('Unknown score converter.')
示例2: _build_score_converter
# 需要导入模块: import tensorflow [as 别名]
# 或者: from tensorflow import softmax [as 别名]
def _build_score_converter(score_converter_config, logit_scale):
"""Builds score converter based on the config.
Builds one of [tf.identity, tf.sigmoid, tf.softmax] score converters based on
the config.
Args:
score_converter_config: post_processing_pb2.PostProcessing.score_converter.
logit_scale: temperature to use for SOFTMAX score_converter.
Returns:
Callable score converter op.
Raises:
ValueError: On unknown score converter.
"""
if score_converter_config == post_processing_pb2.PostProcessing.IDENTITY:
return _score_converter_fn_with_logit_scale(tf.identity, logit_scale)
if score_converter_config == post_processing_pb2.PostProcessing.SIGMOID:
return _score_converter_fn_with_logit_scale(tf.sigmoid, logit_scale)
if score_converter_config == post_processing_pb2.PostProcessing.SOFTMAX:
return _score_converter_fn_with_logit_scale(tf.nn.softmax, logit_scale)
raise ValueError('Unknown score converter.')