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Add some diagnostics
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@ -1196,6 +1196,19 @@ def _test_knowledge_base_lookup():
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start = timeit.default_timer()
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# Epoch 0, batch 0, loss 1.0109944343566895
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# Epoch 10, batch 0, loss 1.0146660804748535
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# Epoch 20, batch 0, loss 1.0119813680648804
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# Epoch 30, batch 0, loss 1.0105408430099487
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# Epoch 40, batch 0, loss 1.0077732801437378
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# Epoch 50, batch 0, loss 1.0050103664398193
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# Epoch 60, batch 0, loss 1.0033129453659058
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# Epoch 70, batch 0, loss 1.0014232397079468
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# Epoch 80, batch 0, loss 0.9977912306785583
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# Epoch 90, batch 0, loss 0.8274348974227905
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# Epoch 100, batch 0, loss 0.3368612825870514
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# Epoch 110, batch 0, loss 0.11323091387748718
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# Time taken: 17.591704960912466
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for epoch in range(120):
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for n, (x,y) in enumerate(train_pairs):
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y_out = m(x)
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