search

watsonyanghx / CNN_LSTM_CTC_Tensorflow

CNN+LSTM+CTC based OCR implemented using tensorflow.
MIT License
364 stars 211 forks source link

Training does not begin: #20

Closed prolaser closed 6 years ago

prolaser commented 6 years ago

Hi Guys

I have prepared a small dataset just for trying out the network and see how it works. It seems like that its able to load the data set well and prints (Begin Training) but after that it just stops and do nothing.Here is what i see on screen: CUDA_VISIBLE_DEVICES=0 python ./main.py --train_dir=./imgs/train/ --val_dir=./imgs/val/ --image_height=60 --image_width=180 --image_channel=1 --out_channels=64 --num_hidden=128 --batch_size=128 --log_dir=./log/train --num_gpus=1 --mode=train

feature_h: 4, feature_w: 12 lstm input shape: [128, 12, 256] loading train data ('size: ', 11) loading validation data size: 6

2018-05-29 11:47:19.300427: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2018-05-29 11:47:19.954690: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2018-05-29 11:47:19.955398: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 0 with properties: name: GeForce GTX 960M major: 5 minor: 0 memoryClockRate(GHz): 1.176 pciBusID: 0000:01:00.0 totalMemory: 3.95GiB freeMemory: 3.50GiB 2018-05-29 11:47:19.955416: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1435] Adding visible gpu devices: 0 2018-05-29 11:47:20.485722: I tensorflow/core/common_runtime/gpu/gpu_device.cc:923] Device interconnect StreamExecutor with strength 1 edge matrix: 2018-05-29 11:47:20.485760: I tensorflow/core/common_runtime/gpu/gpu_device.cc:929] 0 2018-05-29 11:47:20.485768: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 0: N 2018-05-29 11:47:20.485968: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3237 MB memory) -> physical GPU (device: 0, name: GeForce GTX 960M, pci bus id: 0000:01:00.0, compute capability: 5.0) =============================begin training============================= as you can see Training does not begin and i dont get any errors either

Doan-Nguyen commented 5 years ago

@prolaser hi guy, i having a trouble same your trouble. Can you show your solution ? thanks a lot of.