Tensor.arange()

Creates a 1-D tensor of size end - start with values from the interval [start, end) taken with common difference step beginning from start.

Usage

from tinygrad.tensor import Tensor
 
x = Tensor.arange(0, 10, 2)
 
print(x.numpy())

[0. 2. 4. 6. 8.]

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