import onnxruntime
报错ImportError: Microsoft Visual C++ Redistributable for Visual Studio 2019 not installed on the machine.

Traceback (most recent call last):
File “D:/Wanggan_Project/tensorflow/study_test/paddle_steel/file_save_load.py”, line 7, in
import onnxruntime
File “D:\Anaconda3\envs\paddle_new\lib\site-packages\onnxruntime_init_.py”, line 34, in
raise import_capi_exception
File “D:\Anaconda3\envs\paddle_new\lib\site-packages\onnxruntime_init_.py”, line 23, in
from onnxruntime.capi._pybind_state import get_all_providers, get_available_providers, get_device, set_seed,
File “D:\Anaconda3\envs\paddle_new\lib\site-packages\onnxruntime\capi_pybind_state.py”, line 19, in
raise ImportError(
ImportError: Microsoft Visual C++ Redistributable for Visual Studio 2019 not installed on the machine.
可以发现是D:\Anaconda3\envs\paddle_new\lib\site-packages\onnxruntime\capi_pybind_state.py中if not os.path.isfile(“C:\Windows\System32\vcruntime140_1.dll”):
缺失C:\Windows\System32\vcruntime140_1.dll，补全即可
下载链接https://www.66rjz.com/pcsoft/142483.html#download

# microsoft # paddle # c++ # paddlepaddle
GitHub 加速计划 / on / onnxruntime
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microsoft/onnxruntime: 是一个用于运行各种机器学习模型的开源库。适合对机器学习和深度学习有兴趣的人，特别是在开发和部署机器学习模型时需要处理各种不同框架和算子的人。特点是支持多种机器学习框架和算子，包括 TensorFlow、PyTorch、Caffe 等，具有高性能和广泛的兼容性。
最近提交(Master分支：4 个月前 )
81cd6eac ### Description Fixes crash in QNN dlls when an ETW callback tries to change the QNN log level. This is caused by a function that does not lock a mutex before modifying the QNN log level. ### Motivation and Context An ETW callback into QNN EP leads to a crash within QNN SDK dlls. It happens approximately 1 out of 3 full QNN unit tests runs. The cause is a multithreading synchronization bug in QNN EP. We're not always locking a mutex when ETW calls QNN EP to notify of ETW config change. There are two branches in the QNN EP callback function that try to update the QNN log handle. One branch correctly locks a mutex, but other does not lock it at all. This causes crashes within QNN dlls. - Does not lock mutex: [onnxruntime/onnxruntime/core/providers/qnn/qnn_execution_provider.cc at main · microsoft/onnxruntime](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/core/providers/qnn/qnn_execution_provider.cc#L426) - Locks mutex: [onnxruntime/onnxruntime/core/providers/qnn/qnn_execution_provider.cc at main · microsoft/onnxruntime](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/core/providers/qnn/qnn_execution_provider.cc#L442) The fix is to lock the mutex in both paths. 7 天前
c6ba7edd ### Description Introduces a new optional input (encoder_ibnput_ids) in the decoder graph of the T5 implementation for BeamSearch. This allows usage of pointer generator networks in decoder graph. ### Motivation and Context - Fixes #23123 7 天前
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