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fix layer_norm half precision #911

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fix layer_norm half precision #911

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tanyokwok
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model = torch.jit.load('bert_large_amp.disc.pt').cuda().eval()
evaluate_torch(model, inputs)
# # Run BladeDISC optimization.
# print("BladeDISC Optimization.")
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revert the comments?

bias = torch.zeros(width, device="cuda", dtype=torch.half)

annotations = [([-1, -1, -1], torch.half), ([-1], torch.half), ([-1], torch.half)]
self._test_disc(layernorm, annotations, (input, weight, bias))
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nit: will this test pass fail on accuracy without converting input to fp32?

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