本文整理匯總了Python中tensorflow.lookup方法的典型用法代碼示例。如果您正苦於以下問題：Python tensorflow.lookup方法的具體用法？Python tensorflow.lookup怎麽用？Python tensorflow.lookup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的用法示例。
在下文中一共展示了tensorflow.lookup方法的2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: __init__
# 需要導入模塊: import tensorflow [as 別名]
# 或者: from tensorflow import lookup [as 別名]
def __init__(self,
tensor_key,
table,
shape_keys=None,
shape=None,
default_value=''):
"""Initializes the LookupTensor handler.
Simply calls a vocabulary (most often, a label mapping) lookup.
Args:
tensor_key: the name of the `TFExample` feature to read the tensor from.
table: A tf.lookup table.
shape_keys: Optional name or list of names of the TF-Example feature in
which the tensor shape is stored. If a list, then each corresponds to
one dimension of the shape.
shape: Optional output shape of the `Tensor`. If provided, the `Tensor` is
reshaped accordingly.
default_value: The value used when the `tensor_key` is not found in a
particular `TFExample`.
Raises:
ValueError: if both `shape_keys` and `shape` are specified.
"""
self._table = table
super(LookupTensor, self).__init__(tensor_key, shape_keys, shape,
default_value) 示例2: tensors_to_item
# 需要導入模塊: import tensorflow [as 別名]
# 或者: from tensorflow import lookup [as 別名]
def tensors_to_item(self, keys_to_tensors):
unmapped_tensor = super(LookupTensor, self).tensors_to_item(keys_to_tensors)
return self._table.lookup(unmapped_tensor)