[fix] rm print & comments;

pull/6069/head
duanjunwen 2 months ago
parent 64ceea746f
commit 1342a983b1

@ -478,11 +478,8 @@ class ZeroBubbleVPipeScheduler(PipelineSchedule):
output_obj_ = []
output_obj_grad_ = []
# For chunk 0 stage 0, use micro_batch as input_obj_
# For chunk 0 stage 0, use micro_batch as input_obj_; and we don't have to cal microbatch dx.
if model_chunk_id == 0 and self.stage_manager.is_first_stage(ignore_chunk=True):
# input_obj_, _ = tree_flatten(micro_batch)
# output_obj_, _ = tree_flatten(output_obj) # y
# output_obj_grad_, _ = tree_flatten(output_obj_grad) # dy
return None
# For loss backward; output_obj is loss; output_obj_grad should be None
@ -513,9 +510,6 @@ class ZeroBubbleVPipeScheduler(PipelineSchedule):
# Format output_obj_grad
input_obj_grad = {}
if model_chunk_id == 0 and self.stage_manager.is_first_stage(ignore_chunk=True):
# for k, v in micro_batch.items():
# if isinstance(v, torch.Tensor) and v.grad is not None:
# input_obj_grad[k] = v.grad
pass
else:
for k, v in input_obj.items():
@ -645,7 +639,6 @@ class ZeroBubbleVPipeScheduler(PipelineSchedule):
tree_map(release_tensor_data, output_obj)
# add input and output object for backward b
# self.input_tensors[model_chunk_id].append((micro_batch, input_obj))
self.input_tensors[model_chunk_id].append(input_obj)
# for bwd b&w, we only need the graph(grad_fn) of output_obj
@ -704,7 +697,6 @@ class ZeroBubbleVPipeScheduler(PipelineSchedule):
output_tensor_grad = self.recv_backward_buffer[model_chunk_id].pop(0)
# get input and output object from buffer;
# micro_batch, input_obj = self.input_tensors[model_chunk_id].pop(0)
input_obj = self.input_tensors[model_chunk_id].pop(0)
output_obj = self.output_tensors[model_chunk_id].pop(0)
@ -841,7 +833,6 @@ class ZeroBubbleVPipeScheduler(PipelineSchedule):
# while we still have schedules_node in self.schedules
schedule = self.schedules[self.stage_manager.stage] # get schedule by stage (rank)
print(f"schedule {schedule}")
for it in range(len(schedule)):
scheduled_node = schedule[it]
if scheduled_node.type in AUTO_SCHEDULE_COMMUNICATION_TYPES:

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