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[zero] fix error for BEiT models (#2169)

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* [zero] fix error for BEiT models

* [ColoParameter] add unpack operation for tuple arguments

* fix bugs

* fix chunkv2 unit testing

* add assertion for gradient state
This commit is contained in:
HELSON
2022-12-26 15:03:54 +08:00
committed by GitHub
parent 4363ff3e41
commit 2458659919
7 changed files with 82 additions and 32 deletions
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7
colossalai/nn/parallel/data_parallel.py
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@@ -283,7 +283,9 @@ class ZeroDDP(ColoDDP):
p.grad = None
def _post_backward(self):
assert self.chunk_manager.accessed_mem == 0
if self.chunk_manager.accessed_mem != 0:
raise RuntimeError("ZERO DDP error: the synchronization of gradients doesn't exit properly.",
"The most possible reason is that the model is not compatible with ZeroDDP.")
self._setup_grads_ptr()
self._logger.debug(
f'comp cuda demand time: {self.gemini_manager._comp_cuda_demand_time}, layout time: {self.gemini_manager._layout_time}, evict time: {self.gemini_manager._evict_time}, CPU->CUDA vol: {self.gemini_manager._h2d_volume}B, CUDA->CPU vol: {self.gemini_manager._d2h_volume}'
@@ -304,8 +306,9 @@ class ZeroDDP(ColoDDP):
empty_grad = torch.empty_like(grad)
free_storage(empty_grad)
with torch._C.DisableTorchFunction():
self.chunk_manager.trans_tensor_state(p, TensorState.READY_FOR_REDUCE)
chunk = self.chunk_manager.get_chunk(p)
assert chunk.tensors_info[p].state == TensorState.HOLD_AFTER_BWD
self.chunk_manager.trans_tensor_state(p, TensorState.READY_FOR_REDUCE)
chunk.copy_tensor_to_chunk_slice(p, grad)
reduced = self.chunk_manager.reduce_chunk(chunk)
if reduced: