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Python parsing_ops.parse_single_example方法代码示例

本文整理汇总了Python中tensorflow.python.ops.parsing_ops.parse_single_example方法的典型用法代码示例。如果您正苦于以下问题:Python parsing_ops.parse_single_example方法的具体用法?Python parsing_ops.parse_single_example怎么用?Python parsing_ops.parse_single_example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tensorflow.python.ops.parsing_ops的用法示例。


在下文中一共展示了parsing_ops.parse_single_example方法的4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: decode

# 需要导入模块: from tensorflow.python.ops import parsing_ops [as 别名]
# 或者: from tensorflow.python.ops.parsing_ops import parse_single_example [as 别名]
def decode(self, serialized_example, items=None):
    """Decodes the given serialized TF-example.

    Args:
      serialized_example: a serialized TF-example tensor.
      items: the list of items to decode. These must be a subset of the item
        keys in self._items_to_handlers. If `items` is left as None, then all
        of the items in self._items_to_handlers are decoded.

    Returns:
      the decoded items, a list of tensor.
    """
    example = parsing_ops.parse_single_example(serialized_example,
                                               self._keys_to_features)

    # Reshape non-sparse elements just once:
    for k in self._keys_to_features:
      v = self._keys_to_features[k]
      if isinstance(v, parsing_ops.FixedLenFeature):
        example[k] = array_ops.reshape(example[k], v.shape)

    if not items:
      items = self._items_to_handlers.keys()

    outputs = []
    for item in items:
      handler = self._items_to_handlers[item]
      keys_to_tensors = {key: example[key] for key in handler.keys}
      outputs.append(handler.tensors_to_item(keys_to_tensors))
    return outputs 
开发者ID:ryfeus,项目名称:lambda-packs,代码行数:32,代码来源:tfexample_decoder.py

示例2: parse_single_example

# 需要导入模块: from tensorflow.python.ops import parsing_ops [as 别名]
# 或者: from tensorflow.python.ops.parsing_ops import parse_single_example [as 别名]
def parse_single_example(serialized, features, name=None, example_names=None):
  """Parses a single `Example` proto.

  See tf.parse_single_example.

  Args:
    serialized: A scalar string Tensor or LabeledTensor, a single serialized
      Example.
    features: A `dict` mapping feature keys to `labeled_tensor.FixedLenFeature`
      values.
    name: A name for this operation (optional).
    example_names: (Optional) A scalar string Tensor, the associated name.

  Returns:
    A `dict` mapping feature keys to `LabeledTensor` values.

  Raises:
    ValueError: if any feature is invalid.
  """
  serialized = core.convert_to_labeled_tensor(serialized)
  unlabeled_features = _labeled_to_unlabeled_features(features)

  unlabeled_parsed = parsing_ops.parse_single_example(
      serialized.tensor, unlabeled_features, name, example_names)

  parsed = {}
  for name, parsed_feature in unlabeled_parsed.items():
    parsed[name] = core.LabeledTensor(parsed_feature, features[name].axes)

  return parsed 
开发者ID:ryfeus,项目名称:lambda-packs,代码行数:32,代码来源:io_ops.py

示例3: decode

# 需要导入模块: from tensorflow.python.ops import parsing_ops [as 别名]
# 或者: from tensorflow.python.ops.parsing_ops import parse_single_example [as 别名]
def decode(self, serialized_example, items=None):
    """Decodes the given serialized TF-example.

    Args:
      serialized_example: a serialized TF-example tensor.
      items: the list of items to decode. These must be a subset of the item
        keys in self._items_to_handlers. If `items` is left as None, then all
        of the items in self._items_to_handlers are decoded.

    Returns:
      the decoded items, a list of tensor.
    """
    example = parsing_ops.parse_single_example(serialized_example,
                                               self._keys_to_features)

    # Reshape non-sparse elements just once, adding the reshape ops in
    # deterministic order.
    for k in sorted(self._keys_to_features):
      v = self._keys_to_features[k]
      if isinstance(v, parsing_ops.FixedLenFeature):
        example[k] = array_ops.reshape(example[k], v.shape)

    if not items:
      items = self._items_to_handlers.keys()

    outputs = []
    for item in items:
      handler = self._items_to_handlers[item]
      keys_to_tensors = {key: example[key] for key in handler.keys}
      outputs.append(handler.tensors_to_item(keys_to_tensors))
    return outputs 
开发者ID:google-research,项目名称:tf-slim,代码行数:33,代码来源:tfexample_decoder.py

示例4: decode

# 需要导入模块: from tensorflow.python.ops import parsing_ops [as 别名]
# 或者: from tensorflow.python.ops.parsing_ops import parse_single_example [as 别名]
def decode(self, serialized_example, items=None):
    """Decodes the given serialized TF-example.

    Args:
      serialized_example: a serialized TF-example tensor.
      items: the list of items to decode. These must be a subset of the item
        keys in self._items_to_handlers. If `items` is left as None, then all
        of the items in self._items_to_handlers are decoded.

    Returns:
      the decoded items, a list of tensor.
    """
    example = parsing_ops.parse_single_example(
        serialized_example,
        self._keys_to_features)

    # Reshape non-sparse elements just once:
    for k in self._keys_to_features:
      v = self._keys_to_features[k]
      if isinstance(v, parsing_ops.FixedLenFeature):
        example[k] = array_ops.reshape(example[k], v.shape)

    if not items:
      items = self._items_to_handlers.keys()

    outputs = []
    for item in items:
      handler = self._items_to_handlers[item]
      keys_to_tensors = {key: example[key] for key in handler.keys}
      outputs.append(handler.tensors_to_item(keys_to_tensors))
    return outputs 
开发者ID:tobegit3hub,项目名称:deep_image_model,代码行数:33,代码来源:tfexample_decoder.py


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