Flow
torch.nn.modules.container.Sequential.a84c06ad(0=torch.nn.modules.normalization.LayerNorm.4d52ecbb,1=torch.nn.modules.linear.Linear.87c31116,2=torch.nn.modules.activation.ReLU.66073ed,3=torch.nn.modules.dropout.Dropout.3a0fb306,4=torch.nn.modules.linear.Linear.21c2a876,5=torch.nn.modules.activation.Softmax.5621e576)

torch.nn.modules.container.Sequential.a84c06ad(0=torch.nn.modules.normalization.LayerNorm.4d52ecbb,1=torch.nn.modules.linear.Linear.87c31116,2=torch.nn.modules.activation.ReLU.66073ed,3=torch.nn.modules.dropout.Dropout.3a0fb306,4=torch.nn.modules.linear.Linear.21c2a876,5=torch.nn.modules.activation.Softmax.5621e576)

Visibility: public Uploaded 15-05-2019 by Hidden torch==1.0.1 numpy>=1.6.1 scipy>=0.9 1 runs
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  • openml-python python pytorch torch_1.0.1
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Automatically created pytorch flow.

Components

0torch.nn.modules.normalization.LayerNorm.4d52ecbb(1)
1torch.nn.modules.linear.Linear.87c31116(1)
2torch.nn.modules.activation.ReLU.66073ed(1)
3torch.nn.modules.dropout.Dropout.3a0fb306(1)
4torch.nn.modules.linear.Linear.21c2a876(1)
5torch.nn.modules.activation.Softmax.5621e576(1)

Parameters

0default: {"oml-python:serialized_object": "component_reference", "value": {"key": "0", "step_name": null}}
1default: {"oml-python:serialized_object": "component_reference", "value": {"key": "1", "step_name": null}}
2default: {"oml-python:serialized_object": "component_reference", "value": {"key": "2", "step_name": null}}
3default: {"oml-python:serialized_object": "component_reference", "value": {"key": "3", "step_name": null}}
4default: {"oml-python:serialized_object": "component_reference", "value": {"key": "4", "step_name": null}}
5default: {"oml-python:serialized_object": "component_reference", "value": {"key": "5", "step_name": null}}

0
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