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[Dist Autograd - API Change] Updated dist_autograd and dist_optim to be functional #733

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Merged
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Mar 23, 2020
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[Dist Autograd - API Change] Updated dist_autograd and dist_optim to be functional #733

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6 changes: 3 additions & 3 deletions distributed/rpc/rnn/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,15 +51,15 @@ def get_next_batch():
for epoch in range(10):
# create distributed autograd context
for data, target in get_next_batch():
with dist_autograd.context():
with dist_autograd.context() as context_id:
hidden[0].detach_()
hidden[1].detach_()
output, hidden = model(data, hidden)
loss = criterion(output, target)
# run distributed backward pass
dist_autograd.backward([loss])
dist_autograd.backward(context_id, [loss])
# run distributed optimizer
opt.step()
opt.step(context_id)
# not necessary to zero grads as each iteration creates a different
# distributed autograd context which hosts different grads
print("Training epoch {}".format(epoch))
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