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Report latest metrics values as metadata
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examples/dynamic_rnn.py

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@@ -165,4 +165,5 @@ def run_optimization(x, y):
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acc = accuracy(pred, batch_y)
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run.log_metrics({'loss': float(loss), 'accuracy': float(acc)})
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run.update_metadata({'loss': float(loss), 'accuracy': float(acc)})
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run.close()

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