如何使用 Caffe2:TypeMeta

Question

Caffe2:TypeMeta的用途是什么？ 我找到了這樣的描述： TypeMeta is a thin class that allows us to store the type of a container such as a blob, or the data type of a tensor, with a unique run-time id. It also stores some additional data such as the item size and the name of the type for run-time inspection. Definition at line 324 of file typeid.h. TypeMeta is a thin class that allows us to store the type of a container such as a blob, or the data type of a tensor, with a unique run-time id. It also stores some additional data such as the item size and the name of the type for run-time inspection. Definition at line 324 of file typeid.h.

但是，我真的不確定它是如何工作的。

在下面的示例中，它獲取at:Tensor的z.dtype() ，然后將其作為caffe2::TypeMeta保存在dtype中。

    caffe2::TypeMeta dtype;
    z = torch::rand({1,4});
    dtype = z.dtype();

不知道這是什么意思以及如何從dtype中獲取數據，因為它在https://github.com/pytorch/pytorch/blob/master/torch/csrc/api/src/optim中完成/adam.cpp