Differences with torch.Tensor.repeat

The following mapping relationships can be found in this file.

PyTorch APIs	MindSpore APIs
torch.Tensor.repeat	mindspore.Tensor.tile

torch.Tensor.repeat

torch.Tensor.repeat(*sizes) -> Tensor

For more information, see torch.Tensor.repeat.

mindspore.Tensor.tile

mindspore.Tensor.tile(multiples)

For more information, see mindspore.Tensor.tile.

Differences

The usage of mindspore.Tensor.tile is basically the same with that of torch.Tensor.repeat.

Categories	Subcategories	PyTorch	MindSpore	Differences
Parameters	Parameter 1	*sizes	multiples	In PyTorch, parameter type is torch.Size or int and in MindSpore, parameter type must be tuple.

Code Example

# PyTorch
import torch

input = torch.tensor([[1, 2], [3, 4]], dtype=torch.float32)
output = input.repeat(16, 1)
print(output.shape)
# torch.Size([32, 2])

# MindSpore
import mindspore

x = mindspore.Tensor([[1, 2], [3, 4]], dtype=mindspore.float32)
output = x.tile((16, 1))
print(output.shape)
# (32, 2)