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[util] fixed activation checkpointing on torch 1.9 (#719)

pull/729/head
Frank Lee 2022-04-12 09:35:45 +08:00 committed by GitHub
parent 04ff5ea546
commit 2412429d54
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1 changed files with 9 additions and 2 deletions
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11
colossalai/utils/activation_checkpoint.py
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@ -68,7 +68,10 @@ class CheckpointFunction(torch.autograd.Function):
else: else:
ctx.inputs.append(arg) ctx.inputs.append(arg)
ctx.save_for_backward(*tensor_inputs) if activation_offload:
ctx.tensor_inputs = tensor_inputs
else:
ctx.save_for_backward(*tensor_inputs)
return outputs return outputs
@staticmethod @staticmethod
@ -79,7 +82,11 @@ class CheckpointFunction(torch.autograd.Function):
# Copy the list to avoid modifying original list. # Copy the list to avoid modifying original list.
inputs = list(ctx.inputs) inputs = list(ctx.inputs)
tensor_indices = ctx.tensor_indices tensor_indices = ctx.tensor_indices
tensors = ctx.saved_tensors
if ctx.activation_offload:
tensors = ctx.tensor_inputs
else:
tensors = ctx.saved_tensors
# store the current states # store the current states
bwd_cpu_rng_state = torch.get_rng_state() bwd_cpu_rng_state = torch.get_rng_state()