unbreak everything

This commit is contained in:
Your Name 2023-09-06 03:52:40 +03:00
parent 3bffcde0fe
commit 721f7d2db3
2 changed files with 2 additions and 4 deletions

View File

@ -43,7 +43,7 @@ class _ServerInferenceSession:
**metadata,
):
self.config = config
self.span, self.span_uids = span, span_uids
self.span, self.span_uids, self.rpc_info = span, span_uids, rpc_info
self.num_blocks = len(span_uids)
self._inputs_queue: asyncio.Queue[runtime_pb2.ExpertRequest] = inputs_queue
self._outputs_stream: AsyncIterator[runtime_pb2.ExpertResponse] = outputs_aiter
@ -283,7 +283,6 @@ class InferenceSession:
inputs: torch.Tensor,
prompts: Optional[torch.Tensor] = None,
*block_kwargs: Sequence[Dict[str, torch.Tensor]],
**kwargs,
) -> torch.Tensor:
assert not self._closed
if torch.is_grad_enabled():
@ -328,7 +327,6 @@ class InferenceSession:
prompts[server_session.span.start : server_session.span.end],
*block_kwargs[server_session.span.start : server_session.span.end],
step_id=step_id,
**kwargs,
)
server_idx += 1

View File

@ -53,7 +53,7 @@ class RemoteSequential(nn.Module):
assert inputs.ndim == 3, "inputs must be a tensor of shape [batch_size, seq_length, hidden_size]"
if self.active_session is None:
assert all(v is None for v in kwargs.values()), f"Extra kwargs are not supported in forward: {kwargs}"
return _RemoteSequentialAutogradFunction.apply(self.sequence_manager, inputs, prompts, *args, **kwargs)
return _RemoteSequentialAutogradFunction.apply(self.sequence_manager, inputs, prompts, *args)
else:
return self.active_session.step(inputs, prompts, *args, **kwargs)