removed wandb and nets directorys

.gitignore

@@ -194,4 +194,20 @@ dmypy.json
 .pyre/
 
 # End of https://www.gitignore.io/api/python,pycharm+all
- *.pt
+ *.pt
+
+# tex generated files
+*.aux
+*.bcf
+*.synctex.gz
+*.toc
+*.pyg
+
+# virtualenv
+venv/
+
+# weights and biases
+wandb/
+
+# neural nets
+nets/

TicTacToe_AI/Net/wandb/dryrun-20200128_133612-8qzzaedg/config.yaml

@@ -1,9 +0,0 @@
-wandb_version: 1
-
-_wandb:
-  desc: null
-  value:
-    cli_version: 0.8.22
-    framework: torch
-    is_jupyter_run: false
-    python_version: 3.7.5

TicTacToe_AI/Net/wandb/dryrun-20200128_133612-8qzzaedg/output.log

@@ -1,13 +0,0 @@
-running on cpu
-Loading file...
-986410
-Generating testset...
-
  0%|                                                 | 0/10000 [00:00<?, ?it/s]
  0%|                                                 | 0/10000 [00:00<?, ?it/s]
-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

TicTacToe_AI/Net/wandb/dryrun-20200128_133612-8qzzaedg/wandb-events.jsonl

@@ -1 +0,0 @@
-{"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}

TicTacToe_AI/Net/wandb/dryrun-20200128_133612-8qzzaedg/wandb-metadata.json

@@ -1,23 +0,0 @@
-{
-    "root": "/home/clemens/repositorys/pytorch-ai",
-    "program": "pytorch_ai.py",
-    "git": {
-        "remote": "git@github.com:Clemens-Dautermann/pytorch-ai.git",
-        "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
-}

TicTacToe_AI/Net/wandb/dryrun-20200128_133739-4u7vedo7/config.yaml

@@ -1,9 +0,0 @@
-wandb_version: 1
-
-_wandb:
-  desc: null
-  value:
-    cli_version: 0.8.22
-    framework: torch
-    is_jupyter_run: false
-    python_version: 3.7.5

TicTacToe_AI/Net/wandb/dryrun-20200128_133739-4u7vedo7/output.log

@@ -1,32 +0,0 @@
-running on cpu
-Loading file...
-986410
-Generating testset...
-
  0%|                                                 | 0/10000 [00:00<?, ?it/s]
  4%|█▎                                   | 352/10000 [00:00<00:02, 3511.79it/s]
  7%|██▋                                  | 715/10000 [00:00<00:02, 3545.77it/s]
 11%|███▊                                | 1073/10000 [00:00<00:02, 3555.40it/s]
 14%|█████▏                              | 1432/10000 [00:00<00:02, 3564.32it/s]
 18%|██████▍                             | 1795/10000 [00:00<00:02, 3581.75it/s]
 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

TicTacToe_AI/Net/wandb/dryrun-20200128_133739-4u7vedo7/wandb-events.jsonl

@@ -1 +0,0 @@
-{"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}