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StevenLiuWen / ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
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在运行train.py过程中出现tensorflow.python.framework.errors_impl.InvalidArgumentError: ValueError: low >= high #14

Closed poweryin closed 5 years ago

poweryin commented 5 years ago

刘博士，你好，谢谢你分享代码资源给我们。我在运行程序train.py过程中出现以下错误，找不到解决的办法，想麻烦你百忙之中帮我看下是什么问题。tensorflow.python.framework.errors_impl.InvalidArgumentError: ValueError: low >= high [[Node: PyFunc = PyFuncTin=[DT_INT64], Tout=[DT_FLOAT], token="pyfunc_1"]] [[Node: dataset/IteratorGetNext = IteratorGetNextoutput_shapes=[[?,256,256,15]], output_types=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"]] [[Node: dataset/IteratorGetNext/_117 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_44_dataset/IteratorGetNext", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]

shz1314 commented 5 years ago

内存不够了把 把打他 dataset = dataset.prefetch(buffer_size=100) dataset = dataset.shuffle(buffer_size=100).batch(batch_size) buffer_size改小一点

Jolntu commented 5 years ago

In my experience there is a problem with my training set

wangwen39 commented 5 years ago

I met the same problem when I tried to training in another dataset, and I have tried to set the buffer size=1, but this seems didn't work for me when the training Sudden disrupt after iter step 50.