<jupyter_start><jupyter_text>Initial Setup<jupyter_code>import syft as sy
import torch as th

# create owner login
# sy.login().setup(email="<EMAIL>", password="<PASSWORD>")<jupyter_output><empty_output><jupyter_text>Log in as Owner<jupyter_code>domain = sy.login(email="<EMAIL>", password="<PASSWORD>")<jupyter_output>[2021-05-10T00:26:43.702374+0100][CRITICAL][logger]][11637] Skipping torchvision.torchvision.transforms.functional.adjust_sharpness not supported in 0.8.1
[2021-05-10T00:26:43.703261+0100][CRITICAL][logger]][11637] Skipping torchvision.torchvision.transforms.functional.autocontrast not supported in 0.8.1
[2021-05-10T00:26:43.703829+0100][CRITICAL][logger]][11637] Skipping torchvision.torchvision.transforms.functional.equalize not supported in 0.8.1
[2021-05-10T00:26:43.704589+0100][CRITICAL][logger]][11637] Skipping torchvision.torchvision.transforms.functional.invert not supported in 0.8.1
[2021-05-10T00:26:43.705102+0100][CRITICAL][logger]][11637] Skipping torchvision.torchvision.transforms.functional.posterize not supported in 0.8.1
[2021-05-10T00:26:43.705817+0100][CRITICAL][logger]][11637] Skipping torchvision.torchvision.transforms.functional.solarize not supported in 0.8.1<jupyter_text>Upload a Dataset<jupyter_code># dataset = domain.datasets.create('diabetes-dataset.tar.gz')
domain.datasets
domain.datasets[0]<jupyter_output><empty_output><jupyter_text>Create a Data Compliance Officer<jupyter_code>domain.roles.all(pandas=True)
domain.users.create(
    email="<EMAIL>", password="<PASSWORD>", role="Compliance Officer"
)
domain.users.all(pandas=True)<jupyter_output><empty_output>
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{'chain_length': '4', 'dir': 'jupyter-structured-clean-dedup', 'id': '59299', 'license': 'Apache-1.1', 'n_tokens_mistral': 712, 'n_tokens_neox': 603, 'n_words': 76, 'path': 'packages/syft/examples/pygrid/tutorials/Data Owner.ipynb', 'repo_name': 'tarohi24/PySyft', 'size': '1642'}