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pytorch
Latest Dataset file MD5 checksum problem #5
🐛 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
It could be related to the recent changes in gdrive behavior that are also affecting gdown users: https://github.com/wkentaro/gdown/issues/291. Torchvision seems to implement their own gdrive handling which might need a little revamp to keep up with the ever-changing APIs.
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
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.
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.