CUDA memory consumption

[rgershkovich]

Hello,

following the README.md we are getting failures while running

python main.py weak_supervision --model /path/to/strong/supervision/model --iterations <num_of_iterations(20)>

python main.py weak_supervision --model model/63000_model.pkl --iterations 1

this step on Tesla T4 with 16 Gb VRAM.

Boundary character value =  0.4012882678889833 | Threshold character value =  0.43128826788898333 | Threshold character upper value =  0.6012882678889833
Boundary affinity value =  0.45783336177161427 | Threshold affinity value =  0.4878333617716143 | Threshold affinity upper value =  0.6578333617716143
Scale character value =  1.3397710965632044 | Scale affinity value =  1.365808455018482
Training Dataset =  ICDAR2013_ICDAR2017 | Testing Dataset =  ICDAR2013
Number of parameters in the model: 20770466
Generating for iteration: 0
  0%|                                                                                                                                                        | 0/8 [00:00<?, ?it/s]THCudaCheck FAIL file=/pytorch/aten/src/THC/THCGeneral.cpp line=383 error=11 : invalid argument
F-score: 0.7510562308524278: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 8/8 [00:45<00:00,  4.64s/it]
Testing for iteration: 0
F-score: 0.678219963897929| Cumulative F-score: 0.7265306122448979: 100%|████████████████████████████████████████████████████████████████████████████| 8/8 [01:19<00:00,  8.78s/it]
Test Results for iteration: 0  | F-score:  0.7265306122448979  | Precision:  0.7216216216216216  | Recall:  0.7315068493150685
Fine-tuning for iteration: 0
Learning Rate Changed to  5e-05
Loading Synthetic dataset
Loaded DEBUG
  0%|                                                                                                                                                    | 0/12500 [00:00<?, ?it/s]Traceback (most recent call last):
  File "main.py", line 201, in <module>
    main()
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/click/core.py", line 722, in __call__
    return self.main(*args, **kwargs)
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/click/core.py", line 697, in main
    rv = self.invoke(ctx)
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/click/core.py", line 1066, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/click/core.py", line 895, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/click/core.py", line 535, in invoke
    return callback(*args, **kwargs)
  File "main.py", line 101, in weak_supervision
    model, optimizer, loss, accuracy = train(model, optimizer, iteration)
  File "/root/CRAFT-Remade/train_weak_supervision/trainer.py", line 133, in train
    output = model(image)
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 150, in forward
    return self.module(*inputs[0], **kwargs[0])
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/root/CRAFT-Remade/src/craft_model.py", line 55, in forward
    sources = self.basenet(x)
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/root/CRAFT-Remade/src/vgg16bn.py", line 66, in forward
    h = self.slice1(x)
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/torch/nn/modules/container.py", line 92, in forward
    input = module(input)
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/root/CRAFT-Remade/env/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 338, in forward
    self.padding, self.dilation, self.groups)
RuntimeError: CUDA out of memory. Tried to allocate 1.12 GiB (GPU 0; 14.73 GiB total capacity; 13.26 GiB already allocated; 675.88 MiB free; 20.96 MiB cached)

Could you please tell how much memory is required and if it is possible to somehow lower it and still run on 16 Gb Tesla?

Thanks a lot!

[mayank-git-hub]

Hello @rgershkovich sorry for the late reply.

Not sure about the memory requirements, it has been a long time since I worked on this project.

You can reduce the batchsize to fit it to your GPU.