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OpenDAS
fairscale
Commits
7a062894
Unverified
Commit
7a062894
authored
Nov 24, 2020
by
Stas Bekman
Committed by
GitHub
Nov 24, 2020
Browse files
[doc] make the basic example more "compilable" (#207)
* make the basic example usable out of the box * clarify
parent
2b121242
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7a062894
...
@@ -54,6 +54,7 @@ See a more complete example [here](https://github.com/facebookresearch/fairscale
...
@@ -54,6 +54,7 @@ See a more complete example [here](https://github.com/facebookresearch/fairscale
```
python
```
python
import
torch
import
torch
import
torch.distributed
as
dist
import
torch.multiprocessing
as
mp
import
torch.multiprocessing
as
mp
from
fairscale.optim.oss
import
OSS
from
fairscale.optim.oss
import
OSS
from
torch.nn.parallel
import
DistributedDataParallel
as
DDP
from
torch.nn.parallel
import
DistributedDataParallel
as
DDP
...
@@ -63,8 +64,8 @@ def train(
...
@@ -63,8 +64,8 @@ def train(
world_size
:
int
,
world_size
:
int
,
epochs
:
int
):
epochs
:
int
):
# DDP
# DDP
init example
dist
_init
(
rank
,
world_size
)
dist
.
init_process_group
(
backend
=
'nccl'
,
init_method
=
"tcp://localhost:29501"
,
rank
=
rank
,
world_size
=
world_size
)
# Problem statement
# Problem statement
model
=
myAwesomeModel
().
to
(
rank
)
model
=
myAwesomeModel
().
to
(
rank
)
...
...
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