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Simplify CUDAGraph creation logic #4298

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Simplify CUDAGraph creation logic #4298

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f1ea1d9
Simplify CUDAGraph creation logic
yuanlehome Sep 26, 2025
36820c5
Conditionally import CUDAGraph based on CUDA compilation
yuanlehome Sep 26, 2025
c45ba7f
Merge branch 'feature/experimental_feature_20250908' into yuanlehome-…
yuanlehome Sep 28, 2025
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10 changes: 4 additions & 6 deletions fastdeploy/model_executor/graph_optimization/cudagraph_piecewise_backend.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,6 @@

import paddle.jit.dy2static.utils as jit_utils
import paddle.nn.layer
from paddle.base.core import CUDAGraph
from paddle.device.cuda import graphs

from fastdeploy import envs
Expand Down Expand Up @@ -92,7 +91,10 @@ def __init__(self, fd_config: FDConfig, runnable: Callable):
self.cudagraph_capture_sizes = fd_config.graph_opt_config.cudagraph_capture_sizes
self.warm_up_size = fd_config.graph_opt_config.cudagraph_num_of_warmups
self.real_shape_to_captured_size = fd_config.graph_opt_config.real_shape_to_captured_size
self.unique_memory_pool_id = None
if self.fd_config.graph_opt_config.use_unique_memory_pool:
from paddle.base.core import CUDAGraph

self.unique_memory_pool_id = CUDAGraph.gen_new_memory_pool_id()
self._create_entry_dict()

Expand Down Expand Up @@ -166,11 +168,7 @@ def __call__(self, **kwargs):
input_addresses = [x.data_ptr() for (_, x) in kwargs.items() if isinstance(x, paddle.Tensor)]
entry.input_addresses = input_addresses

new_grpah = (
graphs.CUDAGraph(pool_id=self.unique_memory_pool_id)
if self.fd_config.graph_opt_config.use_unique_memory_pool
else graphs.CUDAGraph()
)
new_grpah = graphs.CUDAGraph(pool_id=self.unique_memory_pool_id)
paddle.device.synchronize()

# Capture
Expand Down
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