Differences with torch.randint

torch.randint

torch.randint(low=0, high, size, *, generator=None, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False)

For more information, see torch.randint.

mindspore.ops.randint

mindspore.ops.randint(low, high, size, seed=None, *, dtype=None)

For more information, see mindspore.ops.randint.

Differences

PyTorch: low is an optional input, and the default value is 0.

MindSpore: low is a mandatory input with no default value.

Categories	Subcategories	PyTorch	MindSpore	Difference
Parameters	Parameter 1	low	low	low in PyTorch has a default value of 0, while low in MindSpore does not have a default value
	Parameter 2	high	high	No difference
	Parameter 3	size	size	No difference
	Parameter 4	generator	-	Common differences
	Parameter 5	out	-	Common differences
	Parameter 6	dtype	dtype	No difference
	Parameter 7	layout	-	Common differences
	Parameter 8	device	-	Common differences
	Parameter 9	requires_grad	-	Common differences
	Parameter 10	-	seed	Common differences

Code Example

# PyTorch
import torch

# PyTorch does not need to input the value of low, which is equivalent to low=0 in MindSpore.
x = torch.randint(10, (3, 3))
print(tuple(x.shape))
# (3, 3)

# MindSpore
import mindspore

# MindSpore must take the default value of low in the torch (0 in this case) and pass it in as input.
x = mindspore.ops.randint(0, 10, (3, 3))
print(x.shape)
# (3, 3)