rahul003 commented on issue #9774: mx.io.ImageRecordIter does not respect dtype argument URL: https://github.com/apache/incubator-mxnet/issues/9774#issuecomment-365769322 Thanks for the explanation. Btw, is training in fp16 supposed to be ~2x faster than fp32 for a given batch size? Or is this only about reduced memory usage so we can use larger batch sizes. I have run the examples you had added for fp16 in image classification, and I see maybe +- 10-15% speed changes, nowhere close to 2x for a given batch size. Is this normal? I ran these tests on p3.8x and p3.16x EC2 machines, which use the Volta range of GPUs. I have CUDA9 as well.
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