PyTorch torch.resolve_neg Function
Pytorch torch Reference Manual
torch.resolve_negIt 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("After resolve:", resolved)
# 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("After resolve:", resolved)
The output result is:
原始张量: tensor([1., 2., 3., 4.]) 负视图: tensor([-1., -2., -3., -4.]) 解析后: tensor([-1., -2., -3., -4.])
Other Extensions