Created
October 17, 2020 17:19
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Parse a experimental log in Python
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| #!/usr/bin/python3 | |
| import csv | |
| data = [] | |
| filename = "log-cnn-node1" | |
| # To deal with the lines like [epoch 1, 600 inst] Testing ACC: 0.0883, Loss: 2.3214 | |
| with open(filename+".txt", "r") as f: | |
| lines = f.readlines() | |
| i = 0 | |
| while i < len(lines): | |
| if "Testing ACC:" in lines[i]: | |
| bd = [None] * 3 | |
| sublines = lines[i].split("inst] ") | |
| # deal with: [epoch 11, 600 | |
| subline_former = sublines[0] | |
| epoch_num = ((subline_former.split(","))[0]).strip("[epoch ") | |
| bd[0] = epoch_num | |
| # deal with: Testing ACC: 0.72, Loss: 0.83 | |
| subsublines = (sublines[1]).split(", ") | |
| acc = (subsublines[0]).strip("Testing ACC: ") | |
| loss = (subsublines[1]).strip("Loss: ").strip("\n\r") | |
| print("epoch: ", epoch_num, ", acc: ", acc, ", loss: ", loss) | |
| bd[1] = acc | |
| bd[2] = loss | |
| data.append(bd) | |
| i=i+1 | |
| with open(filename+".csv", "w", newline='') as f: | |
| writer = csv.writer(f) | |
| writer.writerows(data) |
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