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update interrogate and train
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@@ -34,7 +34,8 @@ def plot(logdir: str, name: str):
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step, loss, rate = plt.np.loadtxt(f, delimiter = ',', skiprows = 1, usecols = [0, 3, 4], unpack = True)
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d = settings(logdir, name)
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window = d.get('gradient_step', 1) * d.get('batch_size', 1)
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# window = d.get('gradient_step', 1) * d.get('batch_size', 1)
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window = d.get('save_embedding_every', 1)
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try:
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log.debug({ 'loss plot': name, 'output': img, 'data': f, 'records': len(step) })
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except:
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