mirror of https://github.com/hpcaitech/ColossalAI
fix
parent
fe9208feac
commit
8ff7d0c780
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@ -17,11 +17,10 @@ from colossalai.utils import get_current_device
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@parameterize("nheads", [5])
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@parameterize("d", [128])
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@parameterize("dtype", [torch.bfloat16, torch.float16])
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def check_ring_attn(seq_len, bs, nheads, d, dtype, sp_size):
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def check_ring_attn(seq_len, bs, nheads, d, dtype, inner_ring_size):
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torch.cuda.manual_seed(2)
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device = get_current_device()
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sp_group = dist.group.WORLD
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sp_size = dist.get_world_size()
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# Some outliers may seem large, but our errors are still lower than
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# than Megatron-LM context parallel's
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# (https://github.com/NVIDIA/TransformerEngine/blob/33a3d02f81c56e6f7b542c09bfa86657078d57fb/tests/pytorch/fused_attn/run_fused_attn_with_cp.py#L215)
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@ -43,7 +42,7 @@ def check_ring_attn(seq_len, bs, nheads, d, dtype, sp_size):
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sp_group,
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AttnMaskType.CAUSAL,
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return_softmax=True,
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inner_ring_size=max(2, sp_size // 2),
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inner_ring_size=inner_ring_size,
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)
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ring_out = ring_out.transpose(1, 2)
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out, lse, _ = flash_attn_qkvpacked_func(
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@ -160,12 +159,12 @@ def check_packed_seq(seqlen, bs, nheads, d, dtype):
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def launch_single_ring(rank, world_size, port):
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colossalai.launch(rank, world_size, "localhost", port)
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check_packed_seq()
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check_ring_attn(sp_size=world_size)
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check_ring_attn(inner_ring_size=None)
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def launch_double_ring(rank, world_size, port):
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colossalai.launch(rank, world_size, "localhost", port)
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check_ring_attn(sp_size=world_size)
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check_ring_attn(inner_ring_size=2)
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@rerun_if_address_is_in_use()
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