TensorpadTensor.pad() Returns the tensor with the specified padding. Usage from tinygrad.tensor import Tensor a1 = Tensor([[1, 2, 3], [3, 4, 5]]) a1 = a1.pad(((0, 0), (0, 1))) print(a1.numpy()) Return value [[1. 2. 3. 0.] [3. 4. 5. 0.]]ones_likepad2d