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Training Hangs on First Epoch #43

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brianchap opened this issue May 1, 2022 · 0 comments
Open

Training Hangs on First Epoch #43

brianchap opened this issue May 1, 2022 · 0 comments

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@brianchap
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I'm running your code on Windows rn, and the repo is taking forever to progress past the first epoch in training after executing the standard command listed in the detector.py file. I am using PyTorch 1.8.0+cpu and torchvision 0.9.0+cpu. Any advice would be appreciated. Thank you!

WARNING:tensorflow:From C:\Users\[REDACTED]\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From C:\Users\[REDACTED]\AppData\Local\Programs\Python\Python37\lib\site-packages\keras\backend\tensorflow_backend.py:1154: calling reduce_max_v1 (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
WARNING:tensorflow:From C:\Users\[REDACTED]\AppData\Local\Programs\Python\Python37\lib\site-packages\keras\backend\tensorflow_backend.py:1188: calling reduce_sum_v1 (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
...
Selecting layers to train
conv1 (Conv2D)
...
mrcnn_mask (TimeDistributed)
WARNING:tensorflow:From C:\Users\[REDACTED]\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\ops\math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
2022-04-30 20:47:14.305094: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
Epoch 1/100

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