LeonJWH opened a new issue #7664: index out of bound error when update eval metric URL: https://github.com/apache/incubator-mxnet/issues/7664 Hi ,I am training a binary classification model with my own dataset. I use **mx.image.ImageIter** API to load raw images according to the **.lst** file generated myself(with using **img2rec.py**). I set the data iter as below, ``` train_iter = mx.image.ImageIter( batch_size = batch_size, data_shape = data_shape, path_imglist = '/database/liveness/data_prepare/liveness_train.lst', path_root = '/', data_name = 'data', label_name = 'softmax_label', mean = np.array([123.68, 116.78, 103.94]), resize = 224, rand_mirror = True, shuffle = False, inter_method = 1) ```. And my **.lst** file is ``` 16 1.0 /database/liveness/lf_face/real/5905c125337f3131b4f0856a_image_0.jpg 17 1.0 /database/liveness/lf_face/real/58dd0a71337f311c56026c9e_image_0.jpg 18 1.0 /database/liveness/lf_face/real/58fb11d6de6c741b3501fd52_image_0.jpg 19 1.0 /database/liveness/lf_face/real/59060ef0337f317a0f74a42e_image_0.jpg ```. Then i start training, the first epoch went well, but a error was reported at the second epoch(epoch 1) as follow, ``` Traceback (most recent call last): File "train.py", line 113, in <module> mod.update_metric(metric, batch.label) File "/dlproject/incubator-mxnet/python/mxnet/module/module.py", line 735, in update_metric self._exec_group.update_metric(eval_metric, labels) File "/dlproject/incubator-mxnet/python/mxnet/module/executor_group.py", line 582, in update_metric eval_metric.update_dict(labels_, preds) File "/dlproject/incubator-mxnet/python/mxnet/metric.py", line 280, in update_dict metric.update_dict(labels, preds) File "/dlproject/incubator-mxnet/python/mxnet/metric.py", line 108, in update_dict self.update(label, pred) File "/dlproject/incubator-mxnet/python/mxnet/metric.py", line 916, in update prob = pred[numpy.arange(label.shape[0]), numpy.int64(label)] IndexError: index -275 is out of bounds for axis 1 with size 2 ``` I set the eval metric in my training script with two parts: ``` eval_metric = mx.metric.CompositeEvalMetric() eval_metric.add(mx.metric.CrossEntropy()) eval_metric.add(mx.metric.Accuracy()) ```, so what is wrong in my usage? Thx for your answer! ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
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