Python tensorflow.python.pywrap_tensorflow.TF_GetBuffer() Examples

The following are 3 code examples of tensorflow.python.pywrap_tensorflow.TF_GetBuffer(). 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.pywrap_tensorflow , or try the search function .
Example #1
Source File: c_api_util.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 6 votes vote down vote up 
def tf_buffer():
  """Context manager that creates and deletes TF_Buffer.

  Example usage:
    wtih tf_buffer() as buf:
      # get serialized graph def into buf
      ...
      proto_data = c_api.TF_GetBuffer(buf)
      graph_def.ParseFromString(compat.as_bytes(proto_data))
    # buf has been deleted

  Yields:
    Created TF_Buffer
  """
  buf = c_api.TF_NewBuffer()
  try:
    yield buf
  finally:
    c_api.TF_DeleteBuffer(buf)
Example #2
Source File: native_module.py    From hub with Apache License 2.0 5 votes vote down vote up 
def sync():
    p_buffer = c_api.TF_GetAllOpList()
    cpp_op_list = op_def_pb2.OpList()
    cpp_op_list.ParseFromString(c_api.TF_GetBuffer(p_buffer))

    registered_ops = op_def_registry.get_registered_ops()
    for op_def in cpp_op_list.op:
      # If an OpList is registered from a gen_*_ops.py, it does not any
      # descriptions. Strip them here as well to satisfy validation in
      # register_op_list.
      _remove_non_deprecated_descriptions(op_def)
      registered_ops[op_def.name] = op_def
Example #3
Source File: function.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 5 votes vote down vote up 
def definition(self):
    """Function definition proto."""
    self._create_definition_if_needed()
    if self._c_func:
      with c_api_util.tf_buffer() as buf:
        with errors.raise_exception_on_not_ok_status() as status:
          c_api.TF_FunctionToFunctionDef(self._c_func, buf, status)
        fdef = function_pb2.FunctionDef()
        proto_data = c_api.TF_GetBuffer(buf)
        fdef.ParseFromString(compat.as_bytes(proto_data))
      return fdef
    return self._definition