CMake学习(4):制作库文件

我是小飞熊: sns.lineplot(x='day', y='temp', ax = axes[i // 2, i % 2], data=frame, hue='type', marker='o') ValueError: cannot reindex from a duplicate axis

CSDN-Ada助手: 一定要坚持创作更多高质量博客哦, 小小红包, 以资鼓励, 更多创作活动请看: 新星计划2023: https://marketing.csdn.net/p/1738cda78d47b2ebb920916aab7c3584?utm_source=csdn_ai_ada_redpacket 新星计划2023: https://marketing.csdn.net/p/1738cda78d47b2ebb920916aab7c3584?utm_source=csdn_ai_ada_redpacket 上传ChatGPT/计算机论文等资源，瓜分￥5000元现金: https://blog.csdn.net/VIP_Assistant/article/details/130196121?utm_source=csdn_ai_ada_redpacket 新人首创任务挑战赛: https://marketing.csdn.net/p/90a06697f3eae83aabea1e150f5be8a5?utm_source=csdn_ai_ada_redpacket Microsoft Edge功能测评！: https://activity.csdn.net/creatActivity?id=10403?utm_source=csdn_ai_ada_redpacket 职场解惑讨论会: https://activity.csdn.net/creatActivity?id=10427?utm_source=csdn_ai_ada_redpacket 可持续能源技术真的能改变世界吗？: https://activity.csdn.net/creatActivity?id=10425?utm_source=csdn_ai_ada_redpacket 无效数据，你会怎么处理？: https://activity.csdn.net/creatActivity?id=10423?utm_source=csdn_ai_ada_redpacket 物联网技术正在如何影响我们的生活: https://activity.csdn.net/creatActivity?id=10421?utm_source=csdn_ai_ada_redpacket 生物识别技术能否成为应对安全挑战的绝佳选择？: https://activity.csdn.net/creatActivity?id=10411?utm_source=csdn_ai_ada_redpacket 应届生如何提高职场竞争力: https://activity.csdn.net/creatActivity?id=10409?utm_source=csdn_ai_ada_redpacket 讯飞星火大模型将超越chatgpt？: https://activity.csdn.net/creatActivity?id=10407?utm_source=csdn_ai_ada_redpacket 职场新人备忘录: https://activity.csdn.net/creatActivity?id=10405?utm_source=csdn_ai_ada_redpacket VR vs AR：哪种技术更有潜力改变未来？: https://activity.csdn.net/creatActivity?id=10399?utm_source=csdn_ai_ada_redpacket “裸奔”时代下该如何保护网络隐私: https://activity.csdn.net/creatActivity?id=10401?utm_source=csdn_ai_ada_redpacket 蓝桥杯备赛指南分享: https://activity.csdn.net/creatActivity?id=10317?utm_source=csdn_ai_ada_redpacket

Banzy666: model.23.m.0.cv2.conv._input_quantizer : TensorQuantizer(8bit fake per-tensor amax=3.0067 calibrator=HistogramCalibrator scale=1.0 quant) model.23.m.0.cv2.conv._weight_quantizer : TensorQuantizer(8bit fake axis=0 amax=[0.0904, 1.2007](128) calibrator=MaxCalibrator scale=1.0 quant) Creating ONNX file: ./weights/yolov5n_ptq_detect_histogram.onnx calib: export failure: Zero-point must be Long, found Int 这个问题博主有遇到过吗，导出onnx的时候的错误

Banzy666: 现在出现一个新的bug，在导出onnx的时候 model.23.m.0.cv2.conv._weight_quantizer : TensorQuantizer(8bit fake axis=0 amax=[0.0904, 1.2007](128) calibrator=MaxCalibrator scale=1.0 quant) Creating ONNX file: ./weights/yolov5n_ptq_detect_histogram.onnx calib: export failure: Zero-point must be Long, found Int

Banzy666: 这个接解决了 ，调整校准batchsize就好了额，感觉这个pytorch-quantization内部有bug