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DS-1000 / 949 / How to convert a numpy array of dtype=object to torch Tensor?

Problem

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Problem:

How to convert a numpy array of dtype=object to torch Tensor?

x = np.array([
    np.array([1.23, 4.56, 9.78, 1.23, 4.56, 9.78], dtype=np.double),
    np.array([4.0, 4.56, 9.78, 1.23, 4.56, 77.77], dtype=np.double),
    np.array([1.23, 4.56, 9.78, 1.23, 4.56, 9.78], dtype=np.double),
    np.array([4.0, 4.56, 9.78, 1.23, 4.56, 77.77], dtype=np.double),
    np.array([1.23, 4.56, 9.78, 1.23, 4.56, 9.78], dtype=np.double),
    np.array([4.0, 4.56, 9.78, 1.23, 4.56, 77.77], dtype=np.double),
    np.array([1.23, 4.56, 9.78, 1.23, 4.56, 9.78], dtype=np.double),
    np.array([4.0, 4.56, 9.78, 1.23, 4.56, 77.77], dtype=np.double),
], dtype=object)


A:

<code>
import pandas as pd
import torch
import numpy as np
x_array = load_data()
</code>
x_tensor = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Pytorch

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Source and history

upstream_id / Original problem ID
949
task_id
3a35e0a8-3712-54d8-8754-958403db5f60
task_key
default--test--949
task_revision_id
1
config / split
default / test

Official source

initial import