Comments (2)
目前是GPU推理过不了,CPU推理可以过,速度没法接受。
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现在可以在nano上使用GPU推理了吗
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Related Issues (20)
- paddleX新的2.0版本,还打算更新过来么? HOT 2
- mask rcnn 推理和验证(eval)时显存占用比训练时的大
- paddlex无法使用gpu训练,4060的显卡 HOT 1
- PaddleX可视化客户端使用问题
- restful训练时报错 HOT 1
- paddlex模型无法加密,已经使用paddlex转换 HOT 1
- 使用tensorrt 加速推理 报错 some trt inputs dynamic shape info not set
- ModuleNotFoundError: No module named 'paddle.fluid.dataloader' HOT 4
- 训练异常终止,请重新开始训练 HOT 1
- windows11 运行paddlex,执行图片分类任务的训练时,提示CUSOLVER_STATUS_INTERNAL_ERROR错误 HOT 3
- PaddleX客户端无法进入工作界面问题 HOT 5
- 使用PaddleDetection训练出了yolo3_mobileNet_v3模型后,通过paddle-lite-demo中的yolo-detection-demo来运行,运行环境是荣耀9的安卓真机。
- PaddleX的seg模型在GPU上推理速度很慢 HOT 1
- 单机多卡训练时存在内存泄漏现象 HOT 1
- 点击启动训练后报错 HOT 1
- ocrv4模型选择问题 HOT 1
- 使用paddleseg中的slim剪枝Bisenetv2出现AssertionError: The length of current_mask must be equal to the size of dimension to be pruned on. HOT 1
- AttributeError: module 'paddle' has no attribute 'distributed' HOT 1
- paddlex BML训练报错:(InvalidArgument) yolo_box(): argument 'X' (position 0) must be Tensor, but got Tensor (at /paddle/paddle/fluid/pybind/op_function_common.cc:818) HOT 1
- 本机可以正常运行,换一台机器无法运行
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