Fix spec decoding acc length for dpsk-r1-fp4 tp8 (2nd attempt) (#12915)
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@@ -604,7 +604,7 @@ class CommunicateWithAllReduceAndLayerNormFn:
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and _is_flashinfer_available
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and hasattr(layernorm, "forward_with_allreduce_fusion")
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and get_global_server_args().enable_flashinfer_allreduce_fusion
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and hidden_states.shape[0] <= 4096
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and hidden_states.shape[0] <= 2048
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):
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hidden_states, residual = layernorm.forward_with_allreduce_fusion(
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hidden_states, residual
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@@ -96,7 +96,7 @@ _workspace_manager = FlashInferWorkspaceManager()
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def ensure_workspace_initialized(
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max_token_num: int = 16384, hidden_dim: int = 4096, use_fp32_lamport: bool = False
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max_token_num: int = 2048, hidden_dim: int = 4096, use_fp32_lamport: bool = False
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):
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"""Ensure workspace is initialized"""
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if not is_flashinfer_available() or _flashinfer_comm is None:
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@@ -128,7 +128,7 @@ def flashinfer_allreduce_residual_rmsnorm(
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residual: torch.Tensor,
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weight: torch.Tensor,
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eps: float = 1e-6,
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max_token_num: int = 16384,
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max_token_num: int = 2048,
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use_oneshot: Optional[bool] = None,
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trigger_completion_at_end: bool = False,
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fp32_acc: bool = False,
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@@ -160,14 +160,7 @@ def flashinfer_allreduce_residual_rmsnorm(
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logger.debug("Single GPU, no need for allreduce fusion")
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return None, None
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if input_tensor.shape[0] > max_token_num:
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logger.debug(
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"Input token(%d) is greater than max_token_num(%d), "
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"falling back to standard implementation",
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input_tensor.shape[0],
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max_token_num,
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)
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return None, None
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assert input_tensor.shape[0] <= max_token_num
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if not ensure_workspace_initialized(
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max_token_num=max_token_num,
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