Parsing CSV into Pytorch tensors
I have a CSV files with all numeric values except the header row. When trying to build tensors, I get the following exception:

Traceback (most recent call last):
  File "pytorch.py", line 14, in &lt;module&gt;
    test_tensor = torch.tensor(test)
ValueError: could not determine the shape of object type 'DataFrame'


This is my code:

import torch
import dask.dataframe as dd

device = torch.device("cuda:0")

print("Loading CSV...")
test = dd.read_csv("test.csv", encoding = "UTF-8")
train = dd.read_csv("train.csv", encoding = "UTF-8")

print("Converting to Tensor...")
test_tensor = torch.tensor(test)
train_tensor = torch.tensor(train)


Using pandas instead of Dask for CSV parsing produced the same error. I also tried to specify dtype=torch.float64 inside the call to torch.tensor(data), but got the same error again.

Try converting it to an array first:

test_tensor = torch.Tensor(test.values)

