Python tensorflow.python.ops.io_ops._save() Examples

The following are 6 code examples of tensorflow.python.ops.io_ops._save(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module tensorflow.python.ops.io_ops , or try the search function .
Example #1
Source File: saver.py    From lambda-packs with MIT License 5 votes vote down vote up 
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
Example #2
Source File: saver.py    From TF_Face_Toolbox with Apache License 2.0 5 votes vote down vote up 
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)
Example #3
Source File: saver.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 5 votes vote down vote up 
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
Example #4
Source File: saver.py    From auto-alt-text-lambda-api with MIT License 4 votes vote down vote up 
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
Example #5
Source File: saver.py    From deep_image_model with Apache License 2.0 4 votes vote down vote up 
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
Example #6
Source File: saver.py    From keras-lambda with MIT License 4 votes vote down vote up 
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