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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 hidden or 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) |
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