将CSV解析为Pytorch张量

Question

我有一个CSV文件，除了标题行之外，所有数值都有。当尝试构建张量时，出现以下异常：

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

这是我的代码：

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)

使用pandas而不是Dask进行CSV解析产生了相同的错误。我还试图在对torch.tensor(data)的调用中指定dtype=torch.float64，但再次出现了相同的错误。

Answer 1

请先尝试将其转换为数组：

test_tensor = torch.Tensor(test.values)

Answer 2

我想你只是错过了.values

import torch
import pandas as pd

train = pd.read_csv('train.csv')
train_tensor = torch.tensor(train.values)