[shardformer] added embedding gradient check (#4124)

This commit is contained in:
Frank Lee
2023-06-30 16:16:44 +08:00
parent 44a190e6ac
commit ae035d305d
14 changed files with 255 additions and 74 deletions

View File

@@ -18,20 +18,36 @@ def check_forward_backward(org_model, sharded_model, data_gen_fn, output_transfo
org_loss.backward()
shard_loss.backward()
# check grad equality
assert torch.allclose(org_loss, shard_loss,
atol=1e-5), f"shard model loss is not equal to origin model loss\n{org_loss}\n{shard_loss}"
# unwrap model
if org_model.__class__.__name__ == 'GPT2Model':
org_grad = org_model.h[0].mlp.c_fc.weight.grad
shard_grad = sharded_model.h[0].mlp.c_fc.weight.grad
org_model = org_model
sharded_model = sharded_model
else:
org_grad = org_model.transformer.h[0].mlp.c_fc.weight.grad
shard_grad = sharded_model.transformer.h[0].mlp.c_fc.weight.grad
org_model = org_model.transformer
sharded_model = sharded_model.transformer
# check mlp grad
org_grad = org_model.h[0].mlp.c_fc.weight.grad
shard_grad = sharded_model.h[0].mlp.c_fc.weight.grad
shard_grad_list = [torch.zeros([*shard_grad.shape]).to('cuda') for _ in range(2)]
shard_grad = torch.distributed.all_gather(shard_grad_list, shard_grad)
all_shard_grad = torch.cat(shard_grad_list, dim=1)
assert torch.allclose(org_loss, shard_loss,
atol=1e-5), f"shard model loss is not equal to origin model loss\n{org_loss}\n{shard_loss}"
assert torch.allclose(
org_grad, all_shard_grad,
atol=1e-5), f"shard model grad is not equal to origin model grad\n{org_grad}\n{all_shard_grad}"
# check embedding weights
org_grad = org_model.wte.weight.grad
shard_grad = sharded_model.wte.weight.grad
shard_grad_list = [torch.zeros([*shard_grad.shape]).to('cuda') for _ in range(2)]
shard_grad = torch.distributed.all_gather(shard_grad_list, shard_grad)
all_shard_grad = torch.cat(shard_grad_list, dim=0)
assert torch.allclose(
org_grad, all_shard_grad,
atol=1e-5), f"shard model grad is not equal to origin model grad\n{org_grad}\n{all_shard_grad}"