Tensor.contiguous()

Returns a contiguous in memory tensor containing the same data as self tensor. If self tensor is already in memory and has the same TensorOptions, this function returns self.

Usage

from tinygrad.tensor import Tensor
 
a1 = Tensor([[1.5, 5, 2, 3], [1, 2, 3, 4]])
a1 = a1.contiguous()
 
print(a1.numpy())

Return value

[[1.5 5.  2.  3. ]
 [1.  2.  3.  4. ]]

clip conv_transpose2d

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