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Thanks! Do you also have the error for FP16 vs. this FP32 mode from the same training platform? This will give an idea of what just changing the tensor types to FP16 does to accuracy. That would be a target for the inference platforms. I guess this will only work easily if all the tensors are...

From the 2019 AI benchmark paper: "For each corresponding test, the L1 loss is computed between the target and actual outputs produced by the deep learning models." Ideally, when computing error of a [rounded] result (whatever metric you like), it should be compared to an exact result, not to...