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Implemented batching for TicTacToe AI

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Clemens Dautermann 2020-01-28 14:45:00 +01:00
parent 55cff9b18f
commit 56ee2635b5
96 changed files with 8426 additions and 7 deletions
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TicTacToe_AI/Net/wandb/dryrun-20200128_134136-5prsp2w0/config.yaml Normal file
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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...
986410
Generating testset...
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Generating trainset...
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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([9, 8, 4])
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[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]],
[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]]],
grad_fn=<LogSoftmaxBackward>)
tensor([[[9, 9, 9, 9, 9, 9, 9, 9, 9, 9]],
[[2, 2, 2, 2, 2, 2, 2, 2, 2, 2]],
[[9, 9, 9, 9, 9, 9, 9, 9, 9, 9]]])
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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": 53.07, "system.memory": 47.88, "system.disk": 8.1, "system.proc.memory.availableMB": 4014.31, "system.proc.memory.rssMB": 175.12, "system.proc.memory.percent": 2.27, "system.proc.cpu.threads": 2.17, "system.network.sent": 6514, "system.network.recv": 54693, "_wandb": true, "_timestamp": 1580218907, "_runtime": 11}

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{"epoch": 0, "_runtime": 10.460375547409058, "_timestamp": 1580218906.140515, "_step": 0}
{"loss": 2.3025851249694824, "_runtime": 10.78924560546875, "_timestamp": 1580218906.4693851, "_step": 1}

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TicTacToe_AI/Net/wandb/dryrun-20200128_134136-5prsp2w0/wandb-metadata.json Normal file
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{
"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": "2020-01-28T13:41:36.538539",
"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": "2020-01-28T13:41:48.527435",
"exitcode": 1
}

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{"_step": 1, "epoch": 0, "_timestamp": 1580218906.4693851, "_runtime": 10.78924560546875, "graph_0": {"_type": "graph", "format": "torch", "nodes": [{"name": "fc1", "id": 139691765707856, "class_name": "Linear(in_features=9, out_features=9, bias=True)", "parameters": [["weight", [9, 9]], ["bias", [9]]], "output_shape": [[3, 1, 9]], "num_parameters": [81, 9]}, {"name": "fc2", "id": 139691765708240, "class_name": "Linear(in_features=9, out_features=20, bias=True)", "parameters": [["weight", [20, 9]], ["bias", [20]]], "output_shape": [[3, 1, 20]], "num_parameters": [180, 20]}, {"name": "fc3", "id": 139691765708304, "class_name": "Linear(in_features=20, out_features=50, bias=True)", "parameters": [["weight", [50, 20]], ["bias", [50]]], "output_shape": [[3, 1, 50]], "num_parameters": [1000, 50]}, {"name": "fc4", "id": 139691765708048, "class_name": "Linear(in_features=50, out_features=10, bias=True)", "parameters": [["weight", [10, 50]], ["bias", [10]]], "output_shape": [[3, 1, 10]], "num_parameters": [500, 10]}], "edges": []}, "loss": 2.3025851249694824}