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Latest Dataset file MD5 checksum problem #5 #8204

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YJagger23 opened this issue Jan 11, 2024 · 4 comments
Closed

Latest Dataset file MD5 checksum problem #5 #8204

YJagger23 opened this issue Jan 11, 2024 · 4 comments

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@YJagger23
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YJagger23 commented Jan 11, 2024 •
edited
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🐛 Describe the bug

It seems that the previous MD5 checksum problem happend again. And only the valid_x has the program, the valid_y is ok with the checksum.

from torchvision.datasets.utils import download_file_from_google_drive, _decompress
base_folder = "./"
archive_name = "camelyonpatch_level_2_split_valid_x.h5.gz"
download_file_from_google_drive("1hgshYGWK8V-eGRy8LToWJJgDU_rXWVJ3", base_folder, filename=archive_name, md5="d5b63470df7cfa627aeec8b9dc0c066e")
_decompress(base_folder + archive_name)
2453it [00:00, 16126375.72it/s]
/usr/local/lib/python3.10/dist-packages/torchvision/datasets/utils.py:260: UserWarning: We detected some HTML elements in the downloaded file. This most likely means that the download triggered an unhandled API response by GDrive. Please report this to torchvision at https://github.com/pytorch/vision/issues including the response:

<!DOCTYPE html><html><head><title>Google Drive - Virus scan warning</title><meta http-equiv="content-type" content="text/html; charset=utf-8"/><style nonce="keHapm9m657drKrX4Jc-EA">.goog-link-button{position:relative;color:#15c;text-decoration:underline;cursor:pointer}.goog-link-button-disabled{color:#ccc;text-decoration:none;cursor:default}body{color:#222;font:normal 13px/1.4 arial,sans-serif;margin:0}.grecaptcha-badge{visibility:hidden}.uc-main{padding-top:50px;text-align:center}#uc-dl-icon{display:inline-block;margin-top:16px;padding-right:1em;vertical-align:top}#uc-text{display:inline-block;max-width:68ex;text-align:left}.uc-error-caption,.uc-warning-caption{color:#222;font-size:16px}#uc-download-link{text-decoration:none}.uc-name-size a{color:#15c;text-decoration:none}.uc-name-size a:visited{color:#61c;text-decoration:none}.uc-name-size a:active{color:#d14836;text-decoration:none}.uc-footer{color:#777;font-size:11px;padding-bottom:5ex;padding-top:5ex;text-align:center}.uc-footer a{color:#15c}.uc-footer a:visited{color:#61c}.uc-footer a:active{color:#d14836}.uc-footer-divider{color:#ccc;width:100%}.goog-inline-block{position:relative;display:-moz-inline-box;display:inline-block}* html .goog-inline-block{display:inline}*:first-child+html .goog-inline-block{display:inline}sentinel{}</style><link rel="icon" href="//ssl.gstatic.com/docs/doclist/images/drive_2022q3_32dp.png"/></head><body><div class="uc-main"><div id="uc-dl-icon" class="image-container"><div class="drive-sprite-aux-download-file"></div></div><div id="uc-text"><p class="uc-warning-caption">Google Drive can't scan this file for viruses.</p><p class="uc-warning-subcaption"><span class="uc-name-size"><a href="/open?id=1hgshYGWK8V-eGRy8LToWJJgDU_rXWVJ3">camelyonpatch_level_2_split_valid_x.h5.gz</a> (769M)</span> is too large for Google to scan for viruses. Would you still like to download this file?</p><form id="download-form" action="https://drive.usercontent.google.com/download" method="get"><input type="submit" id="uc-download-link" class="goog-inline-block jfk-button jfk-button-action" value="Download anyway"/><input type="hidden" name="id" value="1hgshYGWK8V-eGRy8LToWJJgDU_rXWVJ3"><input type="hidden" name="export" value="download"><input type="hidden" name="confirm" value="t"><input type="hidden" name="uuid" value="8c996f69-e7d5-41db-bec8-b25263dc0c13"></form></div></div><div class="uc-footer"><hr class="uc-footer-divider"></div></body></html>
  warnings.warn(
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
[<ipython-input-18-37e2753b8a94>](https://localhost:8080/#) in <cell line: 6>()
      4 base_folder = "./"
      5 archive_name = "camelyonpatch_level_2_split_valid_x.h5.gz"
----> 6 download_file_from_google_drive("1hgshYGWK8V-eGRy8LToWJJgDU_rXWVJ3", base_folder, filename=archive_name, md5="d5b63470df7cfa627aeec8b9dc0c066e")
      7 _decompress(base_folder + archive_name)
      8 

[/usr/local/lib/python3.10/dist-packages/torchvision/datasets/utils.py](https://localhost:8080/#) in download_file_from_google_drive(file_id, root, filename, md5)
    266 
    267     if md5 and not check_md5(fpath, md5):
--> 268         raise RuntimeError(
    269             f"The MD5 checksum of the download file {fpath} does not match the one on record."
    270             f"Please delete the file and try again. "

RuntimeError: The MD5 checksum of the download file ./camelyonpatch_level_2_split_valid_x.h5.gz does not match the one on record.Please delete the file and try again. If the issue persists, please report this to torchvision at https://github.com/pytorch/vision/issues.

Versions

--2024-01-11 20:04:00--  https://raw.githubusercontent.com/pytorch/pytorch/main/torch/utils/collect_env.py
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.108.133, 185.199.109.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 22068 (22K) [text/plain]
Saving to: ‘collect_env.py.1’

collect_env.py.1    100%[===================>]  21.55K  --.-KB/s    in 0.002s  

2024-01-11 20:04:00 (13.2 MB/s) - ‘collect_env.py.1’ saved [22068/22068]

Collecting environment information...
PyTorch version: 2.1.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.3 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: 14.0.0-1ubuntu1.1
CMake version: version 3.27.9
Libc version: glibc-2.35

Python version: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.1.58+-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 12.2.140
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: Tesla T4
Nvidia driver version: 535.104.05
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.6
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.6
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture:                       x86_64
CPU op-mode(s):                     32-bit, 64-bit
Address sizes:                      46 bits physical, 48 bits virtual
Byte Order:                         Little Endian
CPU(s):                             2
On-line CPU(s) list:                0,1
Vendor ID:                          GenuineIntel
Model name:                         Intel(R) Xeon(R) CPU @ 2.30GHz
CPU family:                         6
Model:                              63
Thread(s) per core:                 2
Core(s) per socket:                 1
Socket(s):                          1
Stepping:                           0
BogoMIPS:                           4599.99
Flags:                              fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm invpcid_single ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid xsaveopt arat md_clear arch_capabilities
Hypervisor vendor:                  KVM
Virtualization type:                full
L1d cache:                          32 KiB (1 instance)
L1i cache:                          32 KiB (1 instance)
L2 cache:                           256 KiB (1 instance)
L3 cache:                           45 MiB (1 instance)
NUMA node(s):                       1
NUMA node0 CPU(s):                  0,1
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit:        Not affected
Vulnerability L1tf:                 Mitigation; PTE Inversion
Vulnerability Mds:                  Vulnerable; SMT Host state unknown
Vulnerability Meltdown:             Vulnerable
Vulnerability Mmio stale data:      Vulnerable
Vulnerability Retbleed:             Vulnerable
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass:    Vulnerable
Vulnerability Spectre v1:           Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers
Vulnerability Spectre v2:           Vulnerable, IBPB: disabled, STIBP: disabled, PBRSB-eIBRS: Not affected
Vulnerability Srbds:                Not affected
Vulnerability Tsx async abort:      Not affected

Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==2.1.0+cu121
[pip3] torchaudio==2.1.0+cu121
[pip3] torchdata==0.7.0
[pip3] torchsummary==1.5.1
[pip3] torchtext==0.16.0
[pip3] torchvision==0.16.0+cu121
[pip3] triton==2.1.0
[conda] Could not collect
@florczakraf
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It could be related to the recent changes in gdrive behavior that are also affecting gdown users: wkentaro/gdown#291. Torchvision seems to implement their own gdrive handling which might need a little revamp to keep up with the ever-changing APIs.

@woongjoonchoi
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woongjoonchoi commented Jan 18, 2024 •
edited
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i got same issue when downloading caltech dataset.

2436it [00:00, 17288197.20it/s]
/usr/local/lib/python3.10/dist-packages/torchvision/datasets/utils.py:260: UserWarning: We detected some HTML elements in the downloaded file. This most likely means that the download triggered an unhandled API response by GDrive. Please report this to torchvision at https://github.com/pytorch/vision/issues including the response:

<!DOCTYPE html><html><head><title>Google Drive - Virus scan warning</title><meta http-equiv="content-type" content="text/html; charset=utf-8"/><style nonce="lkHmQisUsdKAaMG6bK8sIg">.goog-link-button{position:relative;color:#15c;text-decoration:underline;cursor:pointer}.goog-link-button-disabled{color:#ccc;text-decoration:none;cursor:default}body{color:#222;font:normal 13px/1.4 arial,sans-serif;margin:0}.grecaptcha-badge{visibility:hidden}.uc-main{padding-top:50px;text-align:center}#uc-dl-icon{display:inline-block;margin-top:16px;padding-right:1em;vertical-align:top}#uc-text{display:inline-block;max-width:68ex;text-align:left}.uc-error-caption,.uc-warning-caption{color:#222;font-size:16px}#uc-download-link{text-decoration:none}.uc-name-size a{color:#15c;text-decoration:none}.uc-name-size a:visited{color:#61c;text-decoration:none}.uc-name-size a:active{color:#d14836;text-decoration:none}.uc-footer{color:#777;font-size:11px;padding-bottom:5ex;padding-top:5ex;text-align:center}.uc-footer a{color:#15c}.uc-footer a:visited{color:#61c}.uc-footer a:active{color:#d14836}.uc-footer-divider{color:#ccc;width:100%}.goog-inline-block{position:relative;display:-moz-inline-box;display:inline-block}* html .goog-inline-block{display:inline}*:first-child+html .goog-inline-block{display:inline}sentinel{}</style><link rel="icon" href="//ssl.gstatic.com/docs/doclist/images/drive_2022q3_32dp.png"/></head><body><div class="uc-main"><div id="uc-dl-icon" class="image-container"><div class="drive-sprite-aux-download-file"></div></div><div id="uc-text"><p class="uc-warning-caption">Google Drive can't scan this file for viruses.</p><p class="uc-warning-subcaption"><span class="uc-name-size"><a href="/open?id=1r6o0pSROcV1_VwT4oSjA2FBUSCWGuxLK">256_ObjectCategories.tar</a> (1.1G)</span> is too large for Google to scan for viruses. Would you still like to download this file?</p><form id="download-form" action="https://drive.usercontent.google.com/download" method="get"><input type="submit" id="uc-download-link" class="goog-inline-block jfk-button jfk-button-action" value="Download anyway"/><input type="hidden" name="id" value="1r6o0pSROcV1_VwT4oSjA2FBUSCWGuxLK"><input type="hidden" name="export" value="download"><input type="hidden" name="confirm" value="t"><input type="hidden" name="uuid" value="43ee465e-8ada-4333-88c1-2962c6ff4887"></form></div></div><div class="uc-footer"><hr class="uc-footer-divider"></div></body></html>
  warnings.warn(
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
[<ipython-input-8-670dc68f2b31>](https://localhost:8080/#) in <cell line: 1>()
----> 1 test_caltech = Mydataset(root='/content',download=True)

4 frames
[/usr/local/lib/python3.10/dist-packages/torchvision/datasets/caltech.py](https://localhost:8080/#) in __init__(self, root, transform, target_transform, download)
    172 
    173         if download:
--> 174             self.download()
    175 
    176         if not self._check_integrity():

[/usr/local/lib/python3.10/dist-packages/torchvision/datasets/caltech.py](https://localhost:8080/#) in download(self)
    230             return
    231 
--> 232         download_and_extract_archive(
    233             "https://drive.google.com/file/d/1r6o0pSROcV1_VwT4oSjA2FBUSCWGuxLK",
    234             self.root,

[/usr/local/lib/python3.10/dist-packages/torchvision/datasets/utils.py](https://localhost:8080/#) in download_and_extract_archive(url, download_root, extract_root, filename, md5, remove_finished)
    432         filename = os.path.basename(url)
    433 
--> 434     download_url(url, download_root, filename, md5)
    435 
    436     archive = os.path.join(download_root, filename)

[/usr/local/lib/python3.10/dist-packages/torchvision/datasets/utils.py](https://localhost:8080/#) in download_url(url, root, filename, md5, max_redirect_hops)
    137         file_id = _get_google_drive_file_id(url)
    138         if file_id is not None:
--> 139             return download_file_from_google_drive(file_id, root, filename, md5)
    140 
    141         # download the file

[/usr/local/lib/python3.10/dist-packages/torchvision/datasets/utils.py](https://localhost:8080/#) in download_file_from_google_drive(file_id, root, filename, md5)
    266 
    267     if md5 and not check_md5(fpath, md5):
--> 268         raise RuntimeError(
    269             f"The MD5 checksum of the download file {fpath} does not match the one on record."
    270             f"Please delete the file and try again. "

RuntimeError: The MD5 checksum of the download file /content/caltech256/256_ObjectCategories.tar does not match the one on record.Please delete the file and try again. If the issue persists, please report this to torchvision at https://github.com/pytorch/vision/issues.

i want to show you my dependencies , but i don't know how to print my dependencies

@NicolasHug NicolasHug mentioned this issue Jan 19, 2024
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@NicolasHug
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Thank you for the report everyone. As @florczakraf noted this is due to a change in the google drive apis. We've decided that this isn't the kind of logic we want to handle in torchvision, so from now on we will be relying on gdown as an optional dependency, to download datasets that rely on google drive. These changes should be available in the next bugfix release (0.17.1) which will be released in the coming weeks. Until then, the recommended fix is to download the required files (all of them) manually. Thank you for the reports and for your patience.

I'll keep this issue open for now to direct users to it when necessary.

This was referenced Feb 9, 2024
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@NicolasHug
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Hi everyone, torchvision 0.17.1 is out and the download util should now be fixed. For it to work, you'll need to pip install gdown. I'll close this issue as it should hopefuly be resolved, but let us know if you encounter any further issue. Thank you all for the reports.

@andreasfloros andreasfloros mentioned this issue Mar 19, 2024
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@efemeryds efemeryds mentioned this issue Apr 26, 2024
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@andreasfloros andreasfloros mentioned this issue Jul 29, 2024
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4 participants
@NicolasHug @florczakraf @woongjoonchoi @YJagger23