serendipity999

按照您的代码运行之后出现了这样的问题，应该如何解决呢

1

Traceback (most recent call last): File "/usr/lib/python3.5/multiprocessing/pool.py", line 119, in worker result = (True, func(*args, **kwds)) File "/usr/lib/python3.5/multiprocessing/pool.py", line 44, in mapstar return list(map(*args)) File "/home/prlab/SceneClassify-master/im_utils.py", line 24, in _process_image_worker...

the code in there： with tf.variable_scope("upsampling_logits"): ###############################0430##################### encoder_output_dcl = pixel_dcl(encoder_output, 256, [2,2], scope='pixel_dcl_1',activation_fn=tf.nn.relu,d_format='NHWC') # net = pixel_dcl(encoder_output_dcl, 256, [2,2], scope='pixel_dcl_2') ########################################################## net = tf.image.resize_bilinear(encoder_output_dcl, low_level_features_size, name='upsample_1') traning is normal,but eval...

自定义数据集上训练过程中出现loss=='nan'

8

默认参数未变更，在自己的数据上微调，调试看到某一时刻output为nan，然后loss计算出错，请问会是什么原因呢？