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Author SHA1 Message Date
dependabot[bot]
b439b1cd72
Bump bleach from 1.5.0 to 3.1.4 in /wandb/run-20200127_134136-6kfphe8s
Bumps [bleach](https://github.com/mozilla/bleach) from 1.5.0 to 3.1.4.
- [Release notes](https://github.com/mozilla/bleach/releases)
- [Changelog](https://github.com/mozilla/bleach/blob/master/CHANGES)
- [Commits](https://github.com/mozilla/bleach/compare/v1.5...v3.1.4)

Signed-off-by: dependabot[bot] <support@github.com>
2020-03-31 10:59:16 +00:00
655 changed files with 454101 additions and 142 deletions

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.pyre/
# End of https://www.gitignore.io/api/python,pycharm+all
*.pt
# tex generated files
*.aux
*.bcf
*.synctex.gz
*.toc
*.pyg
# virtualenv
venv/
# weights and biases
wandb/
# neural nets
nets/
*.pt

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wandb_version: 1
_wandb:
desc: null
value:
cli_version: 0.8.22
framework: torch
is_jupyter_run: false
python_version: 3.7.5

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running on cpu
Loading file...
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Traceback (most recent call last):
File "pytorch_ai.py", line 135, in <module>
trainset, testset = buildsets()
File "pytorch_ai.py", line 85, in buildsets
testset = to_batched_set(alllines[0:10000])
File "pytorch_ai.py", line 55, in to_batched_set
labeltensor[counter][9] = 1
IndexError: dimension specified as 0 but tensor has no dimensions

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{
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"program": "pytorch_ai.py",
"git": {
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"commit": "55cff9b18f8558ae7a9170e56a3d5c6f6665d9ab"
},
"email": "clemens.dautermann@gmail.com",
"startedAt": "2020-01-28T13:36:12.626726",
"host": "ubuntu-laptop",
"username": "clemens",
"executable": "/usr/bin/python3",
"os": "Linux-5.3.0-26-generic-x86_64-with-Ubuntu-19.10-eoan",
"python": "3.7.5",
"cpu_count": 2,
"args": [],
"state": "failed",
"jobType": null,
"mode": "dryrun",
"project": "tictactoe",
"heartbeatAt": "2020-01-28T13:36:16.645560",
"exitcode": 1
}

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wandb_version: 1
_wandb:
desc: null
value:
cli_version: 0.8.22
framework: torch
is_jupyter_run: false
python_version: 3.7.5

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running on cpu
Loading file...
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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]]])
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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

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{"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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