Problem with training

[omartriki1]

Hi :),

I wanted to train the model. I followed all the steps described in the readme.md.
The demo script ran perfectly but for the training I always confront the same issue( it ran just for the first step and it stops after) .
./scripts/train.sh -gpu 0 -image_set train -log_dir ./log/
Shape of the pretrained parameter of conv1 does not match, use randomly initialized parameter
Cannot find conv1_skip in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv10/squeeze1x1 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv10/expand1x1 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv10/expand1x1 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv10/expand3x3 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv11/squeeze1x1 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv11/expand1x1 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv11/expand3x3 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv12/squeeze1x1 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv12/expand1x1 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv12/expand3x3 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv13/squeeze1x1 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv13/expand1x1 in the pretrained model. Use randomly initialized parameters
Cannot find fire_deconv13/expand3x3 in the pretrained model. Use randomly initialized parameters
Cannot find conv14_prob in the pretrained model. Use randomly initialized parameters
WARNING:tensorflow:From /home/rahul/$SQSG_ROOT/src/nn_skeleton.py:736: calling softmax (from tensorflow.python.ops.nn_ops) with dim is deprecated and will be removed in a future version.
Instructions for updating:
dim is deprecated, use axis instead
Model statistics saved to ./log///train/model_metrics.txt.
WARNING:tensorflow:From ./src/train.py:109: all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Please use tf.global_variables instead.
WARNING:tensorflow:From /home/rahul/anaconda2/lib/python2.7/site-packages/tensorflow/python/util/tf_should_use.py:189: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use tf.global_variables_initializer instead.
2019-01-07 11:09:21.153978: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-01-07 11:09:34.158950: step 0, loss = 2.98 (2.6 images/sec; 12.406 sec/batch) terminate called after throwing an instance of 'std::bad_alloc'
what(): std::bad_alloc
./scripts/train.sh: line 73: 9311 Aborted (core dumped) python ./src/train.py --dataset=KITTI --pretrained_model_path=./data/SqueezeNet/squeezenet_v1.1.pkl --data_path=./data/ --image_set=$IMAGE_SET --train_dir="$logdir/train" --net=$NET --max_steps=$STEPS --summary_step=100 --checkpoint_step=1000 --gpu=$GPUID

Does anyone have any idea how to solve this issue ?

Thank you :)

[praveenkurabarkumar]

im also encountering same error does anyone have any idea?
@BichenWuUCB

[praveenkurabarkumar]

i got the solution
give rwx permission to SqueezeSeg-master folder

chmod -R 777 SqueezeSeg-master

[chaoxingxi]

i got the solution
give rwx permission to SqueezeSeg-master folder

chmod -R 777 SqueezeSeg-master

i try your solution, but not work, :(
can you help me?Thanks

[jashshah999]

Hi if you were able to run demo.py can you please help me out with this error:
#50