[Question]: UTC模型 Python 部署 错误

[gggdroa]

请提出你的问题

模型 Python 部署，运行./deploy/python/infer.py报错 出现：段错误 (核心已转储) 这个错误是怎么回事呢

[LemonNoel]

可以提供更多信息吗？paddle, paddlenlp 版本，报错前运行的脚本

[gggdroa]

可以提供更多信息吗？paddle, paddlenlp 版本，报错前行的脚

paddlenlp 2.5.2 paddlepaddle-gpu 2.4.2.post117 python3.7

操作模型 Python 部署模块，运行deploy文件中的/python/infer.py 报告错误

[zbyzfw]

我有同样的错误,而且在windows上可以跑通,再linux上不行,切换版本依然不行,但是会报错fastdeploy版本1.0.7 paddlenlp 2.5.2/2.4.0 paddlepaddle-gpu 2.4.2.post117/2.4.0/2.3.2 python3.7/3.8

[luoruijie]

我也遇到后，但是后来把Paddlepaddle的版本升高后，就不报这个错了

[goldwater668]

我也出现这种情况，环境如下：

paddlenlp                      2.7.2
paddlepaddle-gpu               2.6.0
fast-tokenizer-python          1.0.2
fastapi                        0.110.0
fastdeploy-gpu-python          0.0.0
fastdeploy-tools               0.0.5

报错如下： I0524 15:02:55.838413 1151823 allocator_facade.cc:435] Set default stream to 0x143f19e0 for StreamSafeCUDAAllocator(0xdd50af0) in Place(gpu:0) I0524 15:02:55.838426 1151823 allocator_facade.cc:373] Get Allocator by passing in a default stream I0524 15:02:55.838486 1151823 gpu_info.cc:224] [cudaMalloc] size=0.00244141 MB, result=0 I0524 15:02:55.838553 1151823 gpu_info.cc:224] [cudaMalloc] size=0.000244141 MB, result=0 I0524 15:02:55.838563 1151823 gpu_info.cc:224] [cudaMalloc] size=0.000244141 MB, result=0 I0524 15:02:55.838572 1151823 gpu_info.cc:224] [cudaMalloc] size=0.000244141 MB, result=0 I0524 15:02:55.838580 1151823 gpu_info.cc:224] [cudaMalloc] size=0.000244141 MB, result=0 I0524 15:02:55.838587 1151823 gpu_info.cc:224] [cudaMalloc] size=0.000244141 MB, result=0 I0524 15:02:55.838647 1151823 gpu_info.cc:224] [cudaMalloc] size=0.000244141 MB, result=0 I0524 15:02:55.838654 1151823 gpu_info.cc:224] [cudaMalloc] size=0.000244141 MB, result=0 I0524 15:02:55.838665 1151823 gpu_info.cc:224] [cudaMalloc] size=0.0732422 MB, result=0 I0524 15:02:55.839088 1151823 gpu_info.cc:224] [cudaMalloc] size=0.0288086 MB, result=0 I0524 15:02:55.839371 1151823 gpu_info.cc:224] [cudaMalloc] size=0.0732422 MB, result=0 I0524 15:02:55.839381 1151823 gpu_info.cc:224] [cudaMalloc] size=0.219727 MB, result=0 I0524 15:02:55.857205 1151823 gpu_info.cc:224] [cudaMalloc] size=0.248535 MB, result=0 I0524 15:02:55.859779 1151823 gpu_info.cc:224] [cudaMalloc] size=0.292969 MB, result=0 I0524 15:02:55.860016 1151823 gpu_info.cc:224] [cudaMalloc] size=0.292969 MB, result=0 I0524 15:02:55.860302 1151823 gpu_info.cc:224] [cudaMalloc] size=0.248535 MB, result=0 I0524 15:02:55.861150 1151823 stats.h:79] HostMemoryStatReserved0: Update current_value with 12, after update, current value = 12 I0524 15:02:55.861167 1151823 stats.h:79] HostMemoryStatAllocated0: Update current_value with 12, after update, current value = 12 I0524 15:02:55.861202 1151823 stats.h:79] HostMemoryStatReserved0: Update current_value with 4, after update, current value = 16 I0524 15:02:55.861207 1151823 stats.h:79] HostMemoryStatAllocated0: Update current_value with 4, after update, current value = 16 I0524 15:02:55.861232 1151823 stats.h:79] HostMemoryStatReserved0: Update current_value with 4, after update, current value = 20 I0524 15:02:55.861235 1151823 stats.h:79] HostMemoryStatAllocated0: Update current_value with 4, after update, current value = 20 Segmentation fault (core dumped)

[goldwater668]

果然升级paddlepaddle跟paddlenlp，fastdeploy就可以了

[Irisnotiris]

果然升级paddlepaddle跟paddlenlp，fastdeploy就可以了

@goldwater668 请问升级到什么版本了呢？

[goldwater668]

升级到最近的版本即可