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[Question]: yolov5 模型modelarts单卡训练报错。
DONE
#IAJ8MG
slainy
创建于
2024-08-11 22:30
### 请描述您的问题？ / Please describe your question 模型代码链接是：https://gitee.com/mindspore/models/tree/r2.1/official/cv/YOLOv5 错误类型：TypeError: 'numpy.float64' object cannot be interpreted as an integer 日志： 2024-08-13 12:27:28,081:INFO:epoch[99], iter[21], loss:23.996906, fps:73.92 imgs/sec, lr:0.0008750000270083547, per step time: 432.92927503585815ms 2024-08-13 12:28:13,951:INFO:Load parameters of train network [WARNING] ME(459:281473495900176,MainProcess):2024-08-13-12:28:14.453.429 [mindspore/train/serialization.py:1262] For 'load_param_into_net', remove parameter prefix name: network.yolo_network., continue to load. 2024-08-13 12:28:14,470:INFO:Load train network success [WARNING] MD(459,fffc89a7e1e0,python):2024-08-13-12:29:02.389.844 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/generator_op.cc:224] operator()] Bad performance attention, it takes more than 25 seconds to generator.__next__ new row, which might cause `GetNext` timeout problem when sink_mode=True. You can increase the parameter num_parallel_workers in GeneratorDataset / optimize the efficiency of obtaining samples in the user-defined generator function. 2024-08-13 12:29:04,732:INFO:Processing... 0.00% 2024-08-13 12:30:12,682:INFO:Processing... 80.65% 2024-08-13 12:30:21,889:INFO:Calculating mAP... 2024-08-13 12:31:55,980:INFO:Save bbox prediction result. 2024-08-13 12:32:15,937:INFO:Result file path: ./output/predict_2024_08_13_12_31_55.json Loading and preparing results... DONE (t=14.27s) creating index... index created! Traceback (most recent call last): File "/home/ma-user/modelarts/user-job-dir/YOLOv5/train.py", line 213, in <module> run_train() File "/home/ma-user/modelarts/user-job-dir/YOLOv5/model_utils/moxing_adapter.py", line 164, in wrapped_func run_func(*args, **kwargs) File "/home/ma-user/modelarts/user-job-dir/YOLOv5/train.py", line 198, in run_train eval_result, mAP = eval_wrapper.get_results(cur_epoch=epoch_idx + 1, cur_step=steps_per_epoch) File "/home/ma-user/modelarts/user-job-dir/YOLOv5/src/util.py", line 499, in get_results return self.engine.get_eval_result() File "/home/ma-user/modelarts/user-job-dir/YOLOv5/src/util.py", line 391, in get_eval_result eval_results = self.coco_evaluator.get_mAP(self.file_path) File "/home/ma-user/modelarts/user-job-dir/YOLOv5/src/util.py", line 185, in get_mAP return self.get_mAP_single_file(coco_dt_ann_file) File "/home/ma-user/modelarts/user-job-dir/YOLOv5/src/util.py", line 236, in get_mAP_single_file return self.compute_coco_mAP(coco_dt) File "/home/ma-user/modelarts/user-job-dir/YOLOv5/src/util.py", line 239, in compute_coco_mAP coco_eval = COCOeval(self.coco_gt, coco_dt, 'bbox') File "/home/ma-user/anaconda/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 76, in __init__ self.params = Params(iouType=iouType) # parameters File "/home/ma-user/anaconda/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 527, in __init__ self.setDetParams() File "/home/ma-user/anaconda/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 507, in setDetParams self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True) File "<__array_function__ internals>", line 6, in linspace File "/home/ma-user/anaconda/lib/python3.7/site-packages/numpy/core/function_base.py", line 120, in linspace num = operator.index(num) TypeError: 'numpy.float64' object cannot be interpreted as an integer [ModelArts Service Log]2024-08-13 12:32:57,452 - ERROR - proc-rank-0-device-0 (pid: 459) has exited with non-zero code: 1 请问我应该怎么修改呢？
### 请描述您的问题？ / Please describe your question 模型代码链接是：https://gitee.com/mindspore/models/tree/r2.1/official/cv/YOLOv5 错误类型：TypeError: 'numpy.float64' object cannot be interpreted as an integer 日志： 2024-08-13 12:27:28,081:INFO:epoch[99], iter[21], loss:23.996906, fps:73.92 imgs/sec, lr:0.0008750000270083547, per step time: 432.92927503585815ms 2024-08-13 12:28:13,951:INFO:Load parameters of train network [WARNING] ME(459:281473495900176,MainProcess):2024-08-13-12:28:14.453.429 [mindspore/train/serialization.py:1262] For 'load_param_into_net', remove parameter prefix name: network.yolo_network., continue to load. 2024-08-13 12:28:14,470:INFO:Load train network success [WARNING] MD(459,fffc89a7e1e0,python):2024-08-13-12:29:02.389.844 [mindspore/ccsrc/minddata/dataset/engine/datasetops/source/generator_op.cc:224] operator()] Bad performance attention, it takes more than 25 seconds to generator.__next__ new row, which might cause `GetNext` timeout problem when sink_mode=True. You can increase the parameter num_parallel_workers in GeneratorDataset / optimize the efficiency of obtaining samples in the user-defined generator function. 2024-08-13 12:29:04,732:INFO:Processing... 0.00% 2024-08-13 12:30:12,682:INFO:Processing... 80.65% 2024-08-13 12:30:21,889:INFO:Calculating mAP... 2024-08-13 12:31:55,980:INFO:Save bbox prediction result. 2024-08-13 12:32:15,937:INFO:Result file path: ./output/predict_2024_08_13_12_31_55.json Loading and preparing results... DONE (t=14.27s) creating index... index created! Traceback (most recent call last): File "/home/ma-user/modelarts/user-job-dir/YOLOv5/train.py", line 213, in <module> run_train() File "/home/ma-user/modelarts/user-job-dir/YOLOv5/model_utils/moxing_adapter.py", line 164, in wrapped_func run_func(*args, **kwargs) File "/home/ma-user/modelarts/user-job-dir/YOLOv5/train.py", line 198, in run_train eval_result, mAP = eval_wrapper.get_results(cur_epoch=epoch_idx + 1, cur_step=steps_per_epoch) File "/home/ma-user/modelarts/user-job-dir/YOLOv5/src/util.py", line 499, in get_results return self.engine.get_eval_result() File "/home/ma-user/modelarts/user-job-dir/YOLOv5/src/util.py", line 391, in get_eval_result eval_results = self.coco_evaluator.get_mAP(self.file_path) File "/home/ma-user/modelarts/user-job-dir/YOLOv5/src/util.py", line 185, in get_mAP return self.get_mAP_single_file(coco_dt_ann_file) File "/home/ma-user/modelarts/user-job-dir/YOLOv5/src/util.py", line 236, in get_mAP_single_file return self.compute_coco_mAP(coco_dt) File "/home/ma-user/modelarts/user-job-dir/YOLOv5/src/util.py", line 239, in compute_coco_mAP coco_eval = COCOeval(self.coco_gt, coco_dt, 'bbox') File "/home/ma-user/anaconda/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 76, in __init__ self.params = Params(iouType=iouType) # parameters File "/home/ma-user/anaconda/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 527, in __init__ self.setDetParams() File "/home/ma-user/anaconda/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 507, in setDetParams self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True) File "<__array_function__ internals>", line 6, in linspace File "/home/ma-user/anaconda/lib/python3.7/site-packages/numpy/core/function_base.py", line 120, in linspace num = operator.index(num) TypeError: 'numpy.float64' object cannot be interpreted as an integer [ModelArts Service Log]2024-08-13 12:32:57,452 - ERROR - proc-rank-0-device-0 (pid: 459) has exited with non-zero code: 1 请问我应该怎么修改呢？
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