Differences with torch.log10
torch.log10
torch.log10(input, *, out=None) -> Tensor
For more information, see torch.log10.
mindspore.ops.log10
mindspore.ops.log10(input) -> Tensor
For more information, see mindspore.ops.log10.
Differences
MindSpore API function is consistent with that of PyTorch, with differences in the data types supported by the parameters.
PyTorch: The dtype of the parameter input
can be int
or float
.
MindSpore: The dtype of the parameter input
can be float16
, float32
or float64
on GPU and CPU platforms, while the dtype of the parameter input
can be float16
or float32
on Ascend platform.
Categories |
Subcategories |
PyTorch |
MindSpore |
Difference |
---|---|---|---|---|
Parameters |
Parameter 1 |
input |
input |
Both are Tensor, and the dtype of the parameter |
Parameter 2 |
out |
- |
For detailed, refer to General Difference Parameter Table. |