mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-07 01:22:59 +08:00
55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
"""
|
|
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
"""
|
|
|
|
import paddle
|
|
|
|
from fastdeploy.config import GraphOptimizationConfig, LLMConfig
|
|
from fastdeploy.model_executor.graph_optimization.decorator import \
|
|
support_graph_opt
|
|
|
|
|
|
@support_graph_opt
|
|
class TestModel(paddle.nn.Layer):
|
|
""" Tast Model """
|
|
|
|
def __init__(self, llm_config: LLMConfig, **kwargs):
|
|
self.llm_config = llm_config
|
|
|
|
def __call__(self, **kwargs):
|
|
return self.forward(**kwargs)
|
|
|
|
def forward(self, **kwargs):
|
|
"""前向传播"""
|
|
input_ids: paddle.Tensor = kwargs["input_ids"]
|
|
return input_ids + input_ids
|
|
|
|
|
|
if __name__ == '__main__':
|
|
graph_opt_config = GraphOptimizationConfig()
|
|
graph_opt_config.use_cudagraph = True
|
|
graph_opt_config.cudagraph_capture_sizes = [1, 4]
|
|
llm_config = LLMConfig(graph_opt_config=graph_opt_config)
|
|
model = TestModel(llm_config=llm_config)
|
|
|
|
output = model(input_ids=paddle.zeros([1, 8]))
|
|
print(output)
|
|
output = model(input_ids=paddle.ones([1, 8]))
|
|
print(output)
|
|
output = model(input_ids=paddle.zeros([4, 9]))
|
|
print(output)
|
|
output = model(input_ids=paddle.ones([4, 9]))
|
|
print(output)
|