b69b04d3a9
### What this PR does / why we need it?
This PR aim to implement model runner v2 basic framework in vllm-ascend,
the e2e function is not guaranteed by this pr.
### Does this PR introduce _any_ user-facing change?
use envs.VLLM_USE_V2_MODEL_RUNNER to decide if choose model_runenr_v2.
### How was this patch tested?
- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c
---------
Signed-off-by: Ronald1995 <ronaldautomobile@163.com>
34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
from contextlib import contextmanager
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import torch
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@contextmanager
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def torch_cuda_wrapper():
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ori_event = torch.cuda.Event
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ori_stream = torch.cuda.Stream
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ori_default_stream = torch.cuda.default_stream
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ori_current_stream = torch.cuda.current_stream
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ori_graph_pool_handle = torch.cuda.graph_pool_handle
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ori_cuda_graph_cls = torch.cuda.CUDAGraph
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ori_cuda_graph_func = torch.cuda.graph
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try:
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torch.cuda.Event = torch.npu.Event
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torch.cuda.Stream = torch.npu.Stream
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torch.cuda.default_stream = torch.npu.default_stream
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torch.cuda.current_stream = torch.npu.current_stream
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torch.cuda.graph_pool_handle = torch.npu.graph_pool_handle
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torch.cuda.CUDAGraph = torch.npu.NpuGraph
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torch.cuda.graph = torch.npu.graph
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yield
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finally:
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# revert back torch cuda properties, so it will still raise error
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# to call cuda ops in npu environment.
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torch.cuda.Event = ori_event
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torch.cuda.Stream = ori_stream
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torch.cuda.default_stream = ori_default_stream
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torch.cuda.current_stream = ori_current_stream
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torch.cuda.graph_pool_handle = ori_graph_pool_handle
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torch.cuda.CUDAGraph = ori_cuda_graph_cls
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torch.cuda.graph = ori_cuda_graph_func
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