Download Dazhuzhu-github_systolic-array/data-preprocessing/npy.py from SAIFIINDUSTRIES/verilog_data-2: direct link, hf CLI and curl.
- Browser
- Download file 443 Bytes
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https://huggingface.co/datasets/SAIFIINDUSTRIES/verilog_data-2/resolve/main/Dazhuzhu-github_systolic-array/data-preprocessing/npy.py
- Command line
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hf download hf://datasets/SAIFIINDUSTRIES/verilog_data-2/Dazhuzhu-github_systolic-array/data-preprocessing/npy.py
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curl -L -o npy.py https://huggingface.co/datasets/SAIFIINDUSTRIES/verilog_data-2/resolve/main/Dazhuzhu-github_systolic-array/data-preprocessing/npy.py
443 Bytes
| import numpy as np | |
| weight = np.load('./weight.npy',encoding = "latin1") #加载文件 | |
| activate = np.load('./inputmodel.npy',encoding = "latin1") #加载文件 | |
| output = np.load('./outputresult.npy',encoding = "latin1") #加载文件 | |
| # doc = open('1.txt', 'a') #打开一个存储文件,并依次写入 | |
| # print(test, file=doc) #将打印内容写入文件中 | |
| print(activate.shape) | |
| print(weight.shape) | |
| print(output.shape) | |
| print(output[0]) | |