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Use different P2P tag for acts/grads in pipeline #12

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Use different P2P tag for acts/grads in pipeline #12

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11 changes: 7 additions & 4 deletions varuna/pipeline.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,9 @@
import os, sys
import time

P2P_TAG_ACTIONS = 1
P2P_TAG_GRADS = 2

class Pipeline:
""" Pipeline parallelism for Varuna """

Expand Down Expand Up @@ -131,7 +134,7 @@ def acts_receiver(self):
for d in self.fwd_inp_shape_changes:
fwd_inp_shape[d] = self.last_chunk_size
acts_tensor = torch.ones(fwd_inp_shape, dtype=dtype)
handle = dist.irecv(acts_tensor, src=self.receive_rank)
handle = dist.irecv(acts_tensor, src=self.receive_rank, tag=P2P_TAG_ACTIONS)
recv_handles.put((handle, acts_tensor))
if recv_handles.qsize()>4:
handle, tensor = recv_handles.get()
Expand All @@ -156,7 +159,7 @@ def grads_receiver(self):
for d in self.bwd_grad_shape_changes:
bwd_grad_shape[d] = self.last_chunk_size
grads_tensor = torch.ones(bwd_grad_shape, dtype=dtype)
handle = dist.irecv(grads_tensor, src=self.send_rank)
handle = dist.irecv(grads_tensor, src=self.send_rank, tag=P2P_TAG_GRADS)
recv_handles.put((handle, grads_tensor))
if recv_handles.qsize()>4:
handle, tensor = recv_handles.get()
Expand All @@ -176,7 +179,7 @@ def acts_sender(self):
send_handles = Queue()
while count > 0:
output_acts = self.acts_send_queue.get()
handle = dist.isend(output_acts, dst=self.send_rank)
handle = dist.isend(output_acts, dst=self.send_rank, tag=P2P_TAG_ACTIONS)
send_handles.put(handle)
if send_handles.qsize()>4:
handle = send_handles.get()
Expand All @@ -197,7 +200,7 @@ def grads_sender(self):
while count > 0:
input_grads = self.grads_send_queue.get()
# TODO: why is this contiguous needed ???
handle = dist.isend(input_grads.contiguous(), dst=self.receive_rank)
handle = dist.isend(input_grads.contiguous(), dst=self.receive_rank, tag=P2P_TAG_GRADS)
send_handles.put(handle)
if send_handles.qsize()>4:
handle = send_handles.get()
Expand Down