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655 changed files with 454101 additions and 142 deletions
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.gitignore
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.pyre/
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# End of https://www.gitignore.io/api/python,pycharm+all
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*.pt
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# tex generated files
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*.aux
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*.bcf
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*.synctex.gz
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*.toc
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*.pyg
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# virtualenv
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venv/
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# weights and biases
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wandb/
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# neural nets
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nets/
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*.pt
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wandb_version: 1
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_wandb:
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desc: null
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value:
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cli_version: 0.8.22
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framework: torch
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is_jupyter_run: false
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python_version: 3.7.5
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@ -0,0 +1,13 @@
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running on cpu
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986410
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Traceback (most recent call last):
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File "pytorch_ai.py", line 135, in <module>
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trainset, testset = buildsets()
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File "pytorch_ai.py", line 85, in buildsets
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testset = to_batched_set(alllines[0:10000])
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File "pytorch_ai.py", line 55, in to_batched_set
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labeltensor[counter][9] = 1
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IndexError: dimension specified as 0 but tensor has no dimensions
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{"system.cpu": 46.3, "system.memory": 47.33, "system.disk": 8.1, "system.proc.memory.availableMB": 4055.41, "system.proc.memory.rssMB": 168.55, "system.proc.memory.percent": 2.19, "system.proc.cpu.threads": 1.0, "system.network.sent": 5487, "system.network.recv": 52086, "_wandb": true, "_timestamp": 1580218575, "_runtime": 3}
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{
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"root": "/home/clemens/repositorys/pytorch-ai",
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"program": "pytorch_ai.py",
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"git": {
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"remote": "git@github.com:Clemens-Dautermann/pytorch-ai.git",
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"commit": "55cff9b18f8558ae7a9170e56a3d5c6f6665d9ab"
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},
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"email": "clemens.dautermann@gmail.com",
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"startedAt": "2020-01-28T13:36:12.626726",
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"host": "ubuntu-laptop",
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"username": "clemens",
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"executable": "/usr/bin/python3",
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"os": "Linux-5.3.0-26-generic-x86_64-with-Ubuntu-19.10-eoan",
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"python": "3.7.5",
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"cpu_count": 2,
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"args": [],
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"state": "failed",
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"jobType": null,
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"mode": "dryrun",
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"project": "tictactoe",
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"heartbeatAt": "2020-01-28T13:36:16.645560",
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"exitcode": 1
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}
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wandb_version: 1
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_wandb:
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desc: null
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value:
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cli_version: 0.8.22
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framework: torch
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is_jupyter_run: false
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python_version: 3.7.5
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running on cpu
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22%|███████▊ | 2158/10000 [00:00<00:02, 3595.04it/s]
25%|█████████ | 2519/10000 [00:00<00:02, 3599.32it/s]
29%|██████████▍ | 2883/10000 [00:00<00:01, 3611.39it/s]
32%|███████████▋ | 3249/10000 [00:00<00:01, 3623.49it/s]
36%|█████████████ | 3613/10000 [00:01<00:01, 3625.82it/s]
40%|██████████████▎ | 3978/10000 [00:01<00:01, 3630.38it/s]
43%|███████████████▋ | 4341/10000 [00:01<00:01, 3628.50it/s]
47%|████████████████▉ | 4700/10000 [00:01<00:01, 3612.50it/s]
51%|██████████████████▏ | 5063/10000 [00:01<00:01, 3615.51it/s]
54%|███████████████████▌ | 5430/10000 [00:01<00:01, 3631.62it/s]
58%|████████████████████▊ | 5792/10000 [00:01<00:02, 2052.66it/s]
62%|██████████████████████▏ | 6155/10000 [00:01<00:01, 2359.99it/s]
65%|███████████████████████▍ | 6518/10000 [00:02<00:01, 2635.42it/s]
69%|████████████████████████▊ | 6882/10000 [00:02<00:01, 2871.43it/s]
72%|██████████████████████████ | 7248/10000 [00:02<00:00, 3069.00it/s]
76%|███████████████████████████▍ | 7608/10000 [00:02<00:00, 3208.67it/s]
80%|████████████████████████████▋ | 7973/10000 [00:02<00:00, 3327.61it/s]
83%|██████████████████████████████ | 8338/10000 [00:02<00:00, 3417.42it/s]
87%|███████████████████████████████▎ | 8702/10000 [00:02<00:00, 3478.76it/s]
91%|████████████████████████████████▋ | 9068/10000 [00:02<00:00, 3531.04it/s]
94%|█████████████████████████████████▉ | 9433/10000 [00:02<00:00, 3564.83it/s]
98%|███████████████████████████████████▎| 9796/10000 [00:02<00:00, 3574.18it/s]Generating trainset...
|
||||
100%|███████████████████████████████████| 10000/10000 [00:03<00:00, 3313.99it/s]
|
||||
0%| | 0/9999 [00:00<?, ?it/s]
3%|█▎ | 346/9999 [00:00<00:02, 3453.19it/s]
7%|██▋ | 706/9999 [00:00<00:02, 3494.46it/s]
11%|███▉ | 1060/9999 [00:00<00:02, 3507.14it/s]
14%|█████▎ | 1422/9999 [00:00<00:02, 3540.05it/s]
18%|██████▌ | 1788/9999 [00:00<00:02, 3572.52it/s]
21%|███████▉ | 2148/9999 [00:00<00:02, 3579.41it/s]
25%|█████████▎ | 2508/9999 [00:00<00:02, 3585.26it/s]
29%|██████████▌ | 2867/9999 [00:00<00:01, 3585.22it/s]
32%|███████████▉ | 3225/9999 [00:00<00:01, 3582.58it/s]
36%|█████████████▏ | 3570/9999 [00:01<00:01, 3532.78it/s]
39%|██████████████▍ | 3914/9999 [00:01<00:01, 3455.80it/s]
43%|███████████████▊ | 4274/9999 [00:01<00:01, 3497.70it/s]
46%|█████████████████ | 4620/9999 [00:01<00:01, 3479.85it/s]
50%|██████████████████▎ | 4965/9999 [00:01<00:01, 3457.75it/s]
53%|███████████████████▋ | 5319/9999 [00:01<00:01, 3480.47it/s]
57%|█████████████████████ | 5680/9999 [00:01<00:01, 3515.88it/s]
60%|██████████████████████▎ | 6040/9999 [00:01<00:01, 3538.54it/s]
64%|███████████████████████▋ | 6394/9999 [00:01<00:01, 3528.74it/s]
67%|████████████████████████▉ | 6747/9999 [00:01<00:00, 3494.55it/s]
71%|██████████████████████████▎ | 7097/9999 [00:02<00:00, 3472.43it/s]
74%|███████████████████████████▌ | 7445/9999 [00:02<00:00, 3456.20it/s]
78%|████████████████████████████▊ | 7796/9999 [00:02<00:00, 3471.74it/s]
82%|██████████████████████████████▏ | 8158/9999 [00:02<00:00, 3512.40it/s]
85%|███████████████████████████████▌ | 8518/9999 [00:02<00:00, 3535.54it/s]
89%|████████████████████████████████▊ | 8881/9999 [00:02<00:00, 3560.74it/s]
92%|██████████████████████████████████▏ | 9238/9999 [00:02<00:00, 3516.88it/s]
96%|███████████████████████████████████▍ | 9590/9999 [00:02<00:00, 3512.77it/s]
99%|████████████████████████████████████▊| 9942/9999 [00:02<00:00, 3470.54it/s]
100%|█████████████████████████████████████| 9999/9999 [00:02<00:00, 3514.78it/s]
|
||||
Epoch: 0
|
||||
0%| | 0/3333 [00:00<?, ?it/s]tensor([[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]],
|
||||
|
||||
[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]],
|
||||
|
||||
[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]]],
|
||||
grad_fn=<LogSoftmaxBackward>)
|
||||
tensor([[[0, 1, 0, 0, 0, 0, 0, 0, 0, 0]],
|
||||
|
||||
[[0, 0, 0, 0, 0, 0, 0, 0, 0, 1]],
|
||||
|
||||
[[0, 0, 0, 0, 1, 0, 0, 0, 0, 0]]])
|
||||
0%| | 0/3333 [00:00<?, ?it/s]
|
||||
Traceback (most recent call last):
|
||||
File "pytorch_ai.py", line 147, in <module>
|
||||
loss = loss_function(output.view(-1, 10), label)
|
||||
File "/home/clemens/.local/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__
|
||||
result = self.forward(*input, **kwargs)
|
||||
File "/home/clemens/.local/lib/python3.7/site-packages/torch/nn/modules/loss.py", line 916, in forward
|
||||
ignore_index=self.ignore_index, reduction=self.reduction)
|
||||
File "/home/clemens/.local/lib/python3.7/site-packages/torch/nn/functional.py", line 2009, in cross_entropy
|
||||
return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction)
|
||||
File "/home/clemens/.local/lib/python3.7/site-packages/torch/nn/functional.py", line 1838, in nll_loss
|
||||
ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
|
||||
RuntimeError: multi-target not supported at /pytorch/aten/src/THNN/generic/ClassNLLCriterion.c:22
|
||||
|
|
@ -0,0 +1 @@
|
|||
{"system.cpu": 52.85, "system.memory": 47.72, "system.disk": 8.1, "system.proc.memory.availableMB": 4028.75, "system.proc.memory.rssMB": 173.29, "system.proc.memory.percent": 2.25, "system.proc.cpu.threads": 1.67, "system.network.sent": 5779, "system.network.recv": 53955, "_wandb": true, "_timestamp": 1580218669, "_runtime": 9}
|
||||
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