You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -3,7 +3,7 @@
3
3
4
4
## Development Status
5
5
6
-
Torch is not in active developement. The functionality provided by the C backend of Torch, which are the TH, THNN, THC, THCUNN libraries is actively extended and re-written in the ATen C++11 library ([source](https://github.com/pytorch/pytorch/tree/master/aten), [mirror](https://github.com/zdevito/ATen/)).
6
+
Torch is not in active development. The functionality provided by the C backend of Torch, which are the TH, THNN, THC, THCUNN libraries is actively extended and re-written in the ATen C++11 library ([source](https://github.com/pytorch/pytorch/tree/master/aten), [mirror](https://github.com/zdevito/ATen/)).
7
7
ATen exposes all operators you would expect from torch7, nn, cutorch, and cunn directly in C++11 and includes additional support for sparse tensors and distributed operations. It is to note however that the API and semantics of the backend libraries in Torch-7 are different from the semantice provided by ATen. For example ATen provides numpy-style broadcasting while TH* dont. For information on building the forked Torch-7 libraries in C, refer to ["The C interface" in pytorch/aten/src/README.md](https://github.com/pytorch/pytorch/tree/master/aten/src#the-c-interface).
0 commit comments