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make_distribute_tutorial_work_in_google_colab #3022

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make_distribute_tutorial_work_in_google_colab #3022

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10 changes: 8 additions & 2 deletions intermediate_source/dist_tuto.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ the following template.
"""run.py:"""
#!/usr/bin/env python
import os
import sys
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
Expand All @@ -66,7 +67,11 @@ the following template.
if __name__ == "__main__":
size = 2
processes = []
mp.set_start_method("spawn")
if "google.colab" in sys.modules:
print("Running in Google Colab")
mp.get_context("spawn")
else:
mp.set_start_method("spawn")
for rank in range(size):
p = mp.Process(target=init_process, args=(rank, size, run))
p.start()
Expand Down Expand Up @@ -156,7 +161,8 @@ we should not modify the sent tensor nor access the received tensor before ``req
In other words,

- writing to ``tensor`` after ``dist.isend()`` will result in undefined behaviour.
- reading from ``tensor`` after ``dist.irecv()`` will result in undefined behaviour.
- reading from ``tensor`` after ``dist.irecv()`` will result in undefined
behaviour, until ``req.wait()`` has been executed.

However, after ``req.wait()``
has been executed we are guaranteed that the communication took place,
Expand Down