本文整理匯總了Python中tensorflow.python.ops.io_ops._save方法的典型用法代碼示例。如果您正苦於以下問題：Python io_ops._save方法的具體用法？Python io_ops._save怎麽用？Python io_ops._save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.io_ops的用法示例。
在下文中一共展示了io_ops._save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: save_op
# 需要導入模塊: from tensorflow.python.ops import io_ops [as 別名]
# 或者: from tensorflow.python.ops.io_ops import _save [as 別名]
def save_op(self, filename_tensor, saveables):
"""Create an Op to save 'saveables'.
This is intended to be overridden by subclasses that want to generate
different Ops.
Args:
filename_tensor: String Tensor.
saveables: A list of BaseSaverBuilder.SaveableObject objects.
Returns:
An Operation that save the variables.
Raises:
RuntimeError: (implementation detail) if "self._write_version" is an
unexpected value.
"""
# pylint: disable=protected-access
tensor_names = []
tensors = []
tensor_slices = []
for saveable in saveables:
for spec in saveable.specs:
tensor_names.append(spec.name)
tensors.append(spec.tensor)
tensor_slices.append(spec.slice_spec)
if self._write_version == saver_pb2.SaverDef.V1:
return io_ops._save(
filename=filename_tensor,
tensor_names=tensor_names,
tensors=tensors,
tensor_slices=tensor_slices)
elif self._write_version == saver_pb2.SaverDef.V2:
# "filename_tensor" is interpreted *NOT AS A FILENAME*, but as a prefix
# of a V2 checkpoint: e.g. "/fs/train/ckpt-<step>/tmp/worker<i>-<step>".
return io_ops.save_v2(filename_tensor, tensor_names, tensor_slices,
tensors)
else:
raise RuntimeError("Unexpected write_version: " + self._write_version)
# pylint: disable=unused-argument 示例2: save_op
# 需要導入模塊: from tensorflow.python.ops import io_ops [as 別名]
# 或者: from tensorflow.python.ops.io_ops import _save [as 別名]
def save_op(self, filename_tensor, saveables):
tensor_names = []
tensors = []
tensor_slices = []
for saveable in saveables:
for spec in saveable.specs:
if spec.name.startswith('replicated_'):
if spec.name.startswith('replicated_0') or 'avg' in spec.name:
tensor_names.append('/'.join(spec.name.split('/')[1:]))
tensors.append(spec.tensor)
tensor_slices.append(spec.slice_spec)
else:
tensor_names.append(spec.name)
tensors.append(spec.tensor)
tensor_slices.append(spec.slice_spec)
if self._write_version == saver_pb2.SaverDef.V1:
return io_ops._save(
filename=filename_tensor,
tensor_names=tensor_names,
tensors=tensors,
tensor_slices=tensor_slices)
elif self._write_version == saver_pb2.SaverDef.V2:
# "filename_tensor" is interpreted *NOT AS A FILENAME*, but as a prefix
# of a V2 checkpoint: e.g. "/fs/train/ckpt-<step>/tmp/worker<i>-<step>".
return io_ops.save_v2(filename_tensor, tensor_names, tensor_slices,
tensors)
else:
raise RuntimeError("Unexpected write_version: " + self._write_version) 示例3: save_op
# 需要導入模塊: from tensorflow.python.ops import io_ops [as 別名]
# 或者: from tensorflow.python.ops.io_ops import _save [as 別名]
def save_op(self, filename_tensor, saveables):
"""Create an Op to save 'saveables'.
This is intended to be overridden by subclasses that want to generate
different Ops.
Args:
filename_tensor: String Tensor.
saveables: A list of BaseSaverBuilder.SaveableObject objects.
Returns:
An Operation that save the variables.
Raises:
RuntimeError: (implementation detail) if "self._write_version" is an
unexpected value.
"""
# pylint: disable=protected-access
tensor_names = []
tensors = []
tensor_slices = []
for saveable in saveables:
for spec in saveable.specs:
tensor_names.append(spec.name)
tensors.append(spec.tensor)
tensor_slices.append(spec.slice_spec)
if self._write_version == saver_pb2.SaverDef.V1:
return io_ops._save(
filename=filename_tensor,
tensor_names=tensor_names,
tensors=tensors,
tensor_slices=tensor_slices)
elif self._write_version == saver_pb2.SaverDef.V2:
# "filename_tensor" is interpreted *NOT AS A FILENAME*, but as a prefix
# of a V2 checkpoint: e.g. "/fs/train/ckpt-<step>/tmp/worker<i>-<step>".
return io_ops.save_v2(filename_tensor, tensor_names, tensor_slices,
tensors)
else:
raise RuntimeError("Unexpected write_version: " + self._write_version)
# pylint: disable=unused-argument