Wrong label mapping in vision/torchvision/datasets/flowers102.py

[YEthYuan]

🐛 Describe the bug

from line 70 in the file vision/torchvision/datasets/flowers102.py

self._labels = []
self._image_files = []
for image_id in image_ids:
    self._labels.append(image_id_to_label[image_id])  # Note: the bug is here, current the labels are ranged from 1 to 102, which should be ranged from 0 to 101, consider to change this line into self._labels.append(image_id_to_label[image_id] - 1) ?
    self._image_files.append(self._images_folder / f"image_{image_id:05d}.jpg")

Versions

PyTorch version: 1.11.0
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.4 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: version 3.16.3
Libc version: glibc-2.31

Python version: 3.8.13 (default, Mar 28 2022, 11:38:47) [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.4.0-104-generic-x86_64-with-glibc2.17
Is CUDA available: True
CUDA runtime version: Could not collect
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090
Nvidia driver version: 510.54
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] advertorch==0.2.3
[pip3] numpy==1.21.2
[pip3] torch==1.11.0
[pip3] torchaudio==0.11.0
[pip3] torchvision==0.7.0
[conda] advertorch 0.2.3 pypi_0 pypi
[conda] blas 1.0 mkl https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
[conda] cudatoolkit 11.3.1 h2bc3f7f_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
[conda] ffmpeg 4.3 hf484d3e_0 pytorch
[conda] mkl 2021.4.0 h06a4308_640 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
[conda] mkl-service 2.4.0 py38h7f8727e_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
[conda] mkl_fft 1.3.1 py38hd3c417c_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
[conda] mkl_random 1.2.2 py38h51133e4_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
[conda] numpy 1.21.2 py38h20f2e39_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
[conda] numpy-base 1.21.2 py38h79a1101_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
[conda] pytorch 1.11.0 py3.8_cuda11.3_cudnn8.2.0_0 pytorch
[conda] pytorch-mutex 1.0 cuda pytorch
[conda] torchaudio 0.11.0 py38_cu113 pytorch
[conda] torchvision 0.7.0 pypi_0 pypi

cc @pmeier @YosuaMichael