convert_parameters.py 文件源码

def vector_to_parameters(vec, parameters):
    """Convert one vector to the parameters

    Arguments:
        vec (Variable): a single vector represents the parameters of a model.
        parameters (Iterable[Variable]): an iterator of Variables that are the
            parameters of a model.
    """
    # Ensure vec of type Variable
    if not isinstance(vec, Variable):
        raise TypeError('expected torch.autograd.Variable, but got: {}'
                        .format(torch.typename(vec)))
    # Flag for the device where the parameter is located
    param_device = None

    # Pointer for slicing the vector for each parameter
    pointer = 0
    for param in parameters:
        # Ensure the parameters are located in the same device
        param_device = _check_param_device(param, param_device)

        # The length of the parameter
        num_param = torch.prod(torch.LongTensor(list(param.size())))
        # Slice the vector, reshape it, and replace the old data of the parameter
        param.data = vec[pointer:pointer + num_param].view(param.size()).data

        # Increment the pointer
        pointer += num_param