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import requests | |
def format_bytes(size): | |
# 2**10 = 1024 | |
power = 2 ** 10 | |
n = 0 | |
power_labels = {0: '', 1: 'K', 2: 'M', 3: 'G', 4: 'T'} | |
while size > power: | |
size /= power | |
n += 1 | |
return f'{size:.2f}{power_labels[n]}B' | |
def print_table(cuda, cudnn): | |
print('| cuDNN |' + ''.join(f' CUDA{x} |' for x in cuda)) | |
print('| ' + '---- |' * (len(cuda) + 1)) | |
for i, (a, b) in enumerate(cudnn): | |
print(f'| {a} |', end='') | |
for c in cuda: | |
url = f'https://developer.download.nvidia.com/compute/redist/cudnn/v{a}/cudnn-{c}-linux-x64-v{b}.tgz' | |
filename = f'cudnn-{c}-linux-x64-v{b}.tgz' | |
head = requests.head(url) | |
if head.status_code == 200: | |
size = int(head.headers['Content-length']) | |
print(f' [{filename}]({url}) ({format_bytes(size)}) |', end='') | |
else: | |
print(' - |', end='') | |
print() | |
if __name__ == '__main__': | |
cuda = ['9.0', '9.2', '10.0', '10.1'] | |
cudnn = [ | |
('7.6.1', '7.6.1.34'), | |
('7.6.0', '7.6.0.64'), | |
('7.5.1', '7.5.1.10'), | |
('7.5.0', '7.5.0.56'), | |
('7.4.2', '7.4.2.24'), | |
('7.4.1', '7.4.1.5'), | |
('7.3.1', '7.3.1.20'), | |
('7.3.0', '7.3.0.29'), | |
('7.2.1', '7.2.1.38'), | |
('7.1.4', '7.1'), | |
] | |
print_table(cuda, cudnn) | |
print() | |
cuda = ['6.5', '7.0', '7.5', '8.0', '9.0'] | |
cudnn = [ | |
('7.2.1', '7.2.1.38'), | |
('7.1.4', '7.1'), | |
('7.1.3', '7.1'), | |
('7.1.2', '7.1'), | |
('7.0.5', '7'), | |
('7.0.4', '7'), | |
('6.0', '6.0'), | |
('5.1', '5.1'), | |
('5', '5.0-ga'), | |
('4', '4.0-prod'), | |
('3', '3.0-prod'), | |
('2', '2') | |
] | |
print_table(cuda, cudnn) | |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import requests | |
def format_bytes(size): | |
# 2**10 = 1024 | |
power = 2 ** 10 | |
n = 0 | |
power_labels = {0: '', 1: 'K', 2: 'M', 3: 'G', 4: 'T'} | |
while size > power: | |
size /= power | |
n += 1 | |
return f'{size:.2f}{power_labels[n]}B' | |
def print_table(cuda, cudnn): | |
print('| cuDNN |' + ''.join(f' CUDA{x} |' for x in cuda)) | |
print('| ' + '---- |' * (len(cuda) + 1)) | |
for i, (a, b) in enumerate(cudnn): | |
print(f'| {a} |', end='') | |
for c in cuda: | |
url = f'https://developer.download.nvidia.com/compute/redist/cudnn/v{a}/cudnn-{c}-windows10-x64-v{b}.zip' | |
filename = url[url.rfind('/')+1:] | |
head = requests.head(url, allow_redirects=True) | |
if head.status_code == 200: | |
size = int(head.headers['Content-length']) | |
print(f' [{filename}]({url}) ({format_bytes(size)}) |', end='') | |
else: | |
print(' - |', end='') | |
print() | |
if __name__ == '__main__': | |
cuda = ['9.0', '9.2', '10.0', '10.1'] | |
cudnn = [ | |
('7.6.1', '7.6.1.34'), | |
('7.6.0', '7.6.0.64'), | |
('7.5.1', '7.5.1.10'), | |
('7.5.0', '7.5.0.56'), | |
('7.4.2', '7.4.2.24'), | |
('7.4.1', '7.4.1.5'), | |
('7.3.1', '7.3.1.20'), | |
('7.3.0', '7.3.0.29'), | |
('7.2.1', '7.2.1.38'), | |
('7.1.4', '7.1'), | |
] | |
print_table(cuda, cudnn) | |
print() | |
cuda = ['6.5', '7.0', '7.5', '8.0', '9.0'] | |
cudnn = [ | |
('7.2.1', '7.2.1.38'), | |
('7.1.4', '7.1'), | |
('7.1.3', '7.1'), | |
('7.1.2', '7.1'), | |
('7.0.5', '7'), | |
('7.0.4', '7'), | |
('6.0', '6.0'), | |
('5.1', '5.1'), | |
('5', '5.0-ga'), | |
('4', '4.0-prod'), | |
('3', '3.0-prod'), | |
('2', '2') | |
] | |
print_table(cuda, cudnn) |
Author
ypwhs
commented
Jul 21, 2019
•
cuDNN | CUDA9.0 | CUDA9.2 | CUDA10.0 | CUDA10.1 |
---|---|---|---|---|
7.6.1 | cudnn-9.0-linux-x64-v7.6.1.34.tgz (392.82MB) | cudnn-9.2-linux-x64-v7.6.1.34.tgz (396.89MB) | cudnn-10.0-linux-x64-v7.6.1.34.tgz (460.88MB) | cudnn-10.1-linux-x64-v7.6.1.34.tgz (497.63MB) |
7.6.0 | cudnn-9.0-linux-x64-v7.6.0.64.tgz (374.59MB) | cudnn-9.2-linux-x64-v7.6.0.64.tgz (378.84MB) | cudnn-10.0-linux-x64-v7.6.0.64.tgz (440.90MB) | cudnn-10.1-linux-x64-v7.6.0.64.tgz (477.61MB) |
7.5.1 | cudnn-9.0-linux-x64-v7.5.1.10.tgz (357.13MB) | cudnn-9.2-linux-x64-v7.5.1.10.tgz (361.63MB) | cudnn-10.0-linux-x64-v7.5.1.10.tgz (412.76MB) | cudnn-10.1-linux-x64-v7.5.1.10.tgz (449.47MB) |
7.5.0 | cudnn-9.0-linux-x64-v7.5.0.56.tgz (357.11MB) | cudnn-9.2-linux-x64-v7.5.0.56.tgz (361.61MB) | cudnn-10.0-linux-x64-v7.5.0.56.tgz (412.76MB) | cudnn-10.1-linux-x64-v7.5.0.56.tgz (449.46MB) |
7.4.2 | cudnn-9.0-linux-x64-v7.4.2.24.tgz (349.00MB) | cudnn-9.2-linux-x64-v7.4.2.24.tgz (353.84MB) | cudnn-10.0-linux-x64-v7.4.2.24.tgz (404.82MB) | - |
7.4.1 | cudnn-9.0-linux-x64-v7.4.1.5.tgz (347.17MB) | cudnn-9.2-linux-x64-v7.4.1.5.tgz (352.02MB) | cudnn-10.0-linux-x64-v7.4.1.5.tgz (403.12MB) | - |
7.3.1 | cudnn-9.0-linux-x64-v7.3.1.20.tgz (344.85MB) | cudnn-9.2-linux-x64-v7.3.1.20.tgz (351.05MB) | cudnn-10.0-linux-x64-v7.3.1.20.tgz (400.58MB) | - |
7.3.0 | cudnn-9.0-linux-x64-v7.3.0.29.tgz (340.43MB) | - | cudnn-10.0-linux-x64-v7.3.0.29.tgz (396.06MB) | - |
7.2.1 | cudnn-9.0-linux-x64-v7.2.1.38.tgz (331.19MB) | cudnn-9.2-linux-x64-v7.2.1.38.tgz (337.08MB) | - | - |
7.1.4 | cudnn-9.0-linux-x64-v7.1.tgz (390.26MB) | cudnn-9.2-linux-x64-v7.1.tgz (401.58MB) | - | - |
cuDNN | CUDA6.5 | CUDA7.0 | CUDA7.5 | CUDA8.0 | CUDA9.0 |
---|---|---|---|---|---|
7.2.1 | - | - | - | cudnn-8.0-linux-x64-v7.2.1.38.tgz (189.78MB) | cudnn-9.0-linux-x64-v7.2.1.38.tgz (331.19MB) |
7.1.4 | - | - | - | - | cudnn-9.0-linux-x64-v7.1.tgz (390.26MB) |
7.1.3 | - | - | - | cudnn-8.0-linux-x64-v7.1.tgz (245.96MB) | cudnn-9.0-linux-x64-v7.1.tgz (387.77MB) |
7.1.2 | - | - | - | cudnn-8.0-linux-x64-v7.1.tgz (246.13MB) | cudnn-9.0-linux-x64-v7.1.tgz (387.42MB) |
7.0.5 | - | - | - | cudnn-8.0-linux-x64-v7.tgz (267.98MB) | cudnn-9.0-linux-x64-v7.tgz (332.66MB) |
7.0.4 | - | - | - | cudnn-8.0-linux-x64-v7.tgz (267.98MB) | cudnn-9.0-linux-x64-v7.tgz (332.67MB) |
6.0 | - | - | cudnn-7.5-linux-x64-v6.0.tgz (109.43MB) | cudnn-8.0-linux-x64-v6.0.tgz (191.82MB) | - |
5.1 | - | - | cudnn-7.5-linux-x64-v5.1.tgz (77.18MB) | cudnn-8.0-linux-x64-v5.1.tgz (98.39MB) | - |
5 | - | - | cudnn-7.5-linux-x64-v5.0-ga.tgz (75.66MB) | cudnn-8.0-linux-x64-v5.0-ga.tgz (94.58MB) | - |
4 | - | cudnn-7.0-linux-x64-v4.0-prod.tgz (81.73MB) | - | - | - |
3 | - | cudnn-7.0-linux-x64-v3.0-prod.tgz (63.81MB) | - | - | - |
2 | cudnn-6.5-linux-x64-v2.tgz (15.18MB) | - | - | - | - |
cuDNN | CUDA6.5 | CUDA7.0 | CUDA7.5 | CUDA8.0 | CUDA9.0 |
---|---|---|---|---|---|
7.2.1 | - | - | - | cudnn-8.0-windows10-x64-v7.2.1.38.zip (100.06MB) | cudnn-9.0-windows10-x64-v7.2.1.38.zip (171.64MB) |
7.1.4 | - | - | - | - | cudnn-9.0-windows10-x64-v7.1.zip (201.39MB) |
7.1.3 | - | - | - | cudnn-8.0-windows10-x64-v7.1.zip (128.37MB) | cudnn-9.0-windows10-x64-v7.1.zip (200.17MB) |
7.1.2 | - | - | - | cudnn-8.0-windows10-x64-v7.1.zip (128.47MB) | cudnn-9.0-windows10-x64-v7.1.zip (200.00MB) |
7.0.5 | - | - | - | cudnn-8.0-windows10-x64-v7.zip (139.68MB) | cudnn-9.0-windows10-x64-v7.zip (172.86MB) |
7.0.4 | - | - | - | cudnn-8.0-windows10-x64-v7.zip (139.72MB) | cudnn-9.0-windows10-x64-v7.zip (172.86MB) |
6.0 | - | - | cudnn-7.5-windows10-x64-v6.0.zip (56.01MB) | cudnn-8.0-windows10-x64-v6.0.zip (101.57MB) | - |
5.1 | - | - | cudnn-7.5-windows10-x64-v5.1.zip (40.15MB) | cudnn-8.0-windows10-x64-v5.1.zip (53.95MB) | - |
5 | - | - | cudnn-7.5-windows10-x64-v5.0-ga.zip (39.41MB) | cudnn-8.0-windows10-x64-v5.0-ga.zip (51.21MB) | - |
thank you
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