gistfile0.txt

import syft as sy
import numpy as np
from uuid import uuid1
sy.logger.remove()

_syf_owner = None
_syf_user = None

def syf_login():
    global _syf_owner
    global _syf_user

    if _syf_owner is not None:
        return _syf_owner, _syf_user

    _syf_owner = sy.login(email="[email protected]", password="changethis", port=8081)
    email = str(uuid1())
    password = "pw"
    if email not in [entry['email'] for entry in _syf_owner.users.all()]:
        _syf_owner.users.create(
            **{
                "name": "Sheldon2 Cooper",
                "email": email,
                "password": password,
                "budget": 1e9
            }
        )
    _syf_user = sy.login(email=email, password=password, port=8081)
    return _syf_owner, _syf_user

def numpy_to_tensor_pointer(np_arr):
    owner, user = syf_login()
    backend_phi_tensor = sy.Tensor(np_arr)
    assert np_arr.ndim != 0
    data_subjects = ["abc"] * np_arr.shape[0] if np_arr.ndim != 0 else ["abc"]
    single_data_subject = backend_phi_tensor.private(
        min_val=10,
        max_val=90,
        data_subjects=data_subjects)
    data_asset_name = str(uuid1())
    owner.load_dataset(
        assets={
            data_asset_name: single_data_subject,
        },
        name="my_data",
        description="description"
    )
    tensor_pointer = user.datasets[-1][data_asset_name]
    return tensor_pointer

ndarray = np.array([[1., 2., 3.]], dtype=np.float64)
a = numpy_to_tensor_pointer(ndarray)