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# PyTorch torch.resolve_neg Function * * * [![Image 3: Pytorch torch Reference Manual] Pytorch torch Reference Manual]() `torch.resolve_neg` is a function in PyTorch used to resolve negative views. If the input tensor is a negative view (i.e., a view created by negation), this function returns the actual tensor data. ### Function Definition torch.resolve_neg(input) * * * ## Usage Example ## Example import torch # Create tensor x = torch.tensor([1.0,2.0,3.0,4.0]) # Get negative view x_neg = torch.neg(x) # Resolve negative view resolved = torch.resolve_neg(x_neg) print("Original tensor:", x) print("Negative view:", x_neg) print("Resolved:", resolved) Output result: Original tensor: tensor([1., 2., 3., 4.])Negative view: tensor([-1., -2., -3., -4.])Resolved: tensor([-1., -2., -3., -4.]) * * * [![Image 4: Pytorch torch Reference Manual] Pytorch torch Reference Manual]()