forked from mrq/DL-Art-School
22 lines
795 B
Python
22 lines
795 B
Python
from torch.utils.tensorboard import SummaryWriter
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if __name__ == "__main__":
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writer = SummaryWriter("../experiments/recovered_tb")
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f = open("../experiments/recovered_tb.txt", encoding="utf8")
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console = f.readlines()
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search_terms = [
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("iter", ", iter: ", ", lr:"),
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("l_g_total", " l_g_total: ", " switch_temperature:"),
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("l_d_fake", "l_d_fake: ", " D_fake:")
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]
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iter = 0
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for line in console:
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if " - INFO: [epoch:" not in line:
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continue
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for name, start, end in search_terms:
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val = line[line.find(start)+len(start):line.find(end)].replace(",", "")
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if name == "iter":
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iter = int(val)
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else:
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writer.add_scalar(name, float(val), iter)
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writer.close() |