[0-size Tensor No.237] Add 0-size Tensor support for paddle.nn.utils.vector_to_parameters

[DanielSun11]

PR Category

Operator Mechanism

PR Types

Bug fixes

Description

添加paddle.nn.utils.vector_to_parameters对vector的元素总个数多于所有parameters的元素个数之和这一情况的支持。

• 当vector中所有的元素个数等于（ == ）parameters中所有元素之和时使用paddle.split实现。
• 当vector中所有的元素个数小于 ( < ) parameters中所有元素之和时,报错 。
• 当vector中所有的元素个数多于（ > ）parameters中所有元素之和时，仿照pytorch使用slice机制实现 。

pytorch 的实现：

def vector_to_parameters(vec: torch.Tensor, parameters: Iterable[torch.Tensor]) -> None: r"""Copy slices of a vector into an iterable of parameters.   Args:  vec (Tensor): a single vector representing the parameters of a model.  parameters (Iterable[Tensor]): an iterable of Tensors that are the  parameters of a model.  """ # Ensure vec of type Tensor if not isinstance(vec, torch.Tensor): raise TypeError(f"expected torch.Tensor, but got: {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 = param.numel() # Slice the vector, reshape it, and replace the old data of the parameter param.data = vec[pointer : pointer + num_param].view_as(param).data # Increment the pointer pointer += num_param

pcard-67164

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