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probably to avoid confusion with numpy arrays. and to irritate physicists
by buboard 8y ago
probably to avoid confusion with numpy arrays. and to irritate physicists
- argonaut 8y agoExcept they literally are numpy arrays (but on GPU).
- singhrac 8y agoNo, you're forgetting tape-based operation tracking (requires_grad=True).
- vx100 8y agoYes to irritating physicists, no to avoiding confusion with numpy arrays. Pytorch README: - "Tensor computation (like NumPy) with strong GPU acceleration" - "If you use NumPy, then you have used Tensors (a.k.a ndarray)." Pure marketing drivel.
- buboard 8y agoi mean, they have different names when used in pytorch code, tensor vs ndarray.