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Handle additional types as input and output in TF models #745

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yaeldekel opened this issue Aug 27, 2018 · 1 comment · Fixed by #2101
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Handle additional types as input and output in TF models #745

yaeldekel opened this issue Aug 27, 2018 · 1 comment · Fixed by #2101
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@zeahmed
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Initially only floats/doubles will be handled, and we should investigate which other types are commonly used in TF models.
@zeahmed zeahmed assigned zeahmed and unassigned abgoswam Jan 9, 2019
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zeahmed commented Jan 10, 2019 •
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I am adding a test to show that the supported data types are working. Double/float, int8/int16/int32/int64, uint8/uint16/uint32/uint64 and bools are currently supported. Another issue will be created if support for other types are requested.

@zeahmed zeahmed mentioned this issue Jan 10, 2019
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@shauheen shauheen added this to the 0119 milestone Jan 10, 2019
@zeahmed zeahmed mentioned this issue Jan 31, 2019
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Adding a test to show supported data types in TensorFlowTransform zeahmed/machinelearning
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@shauheen @abgoswam @yaeldekel @zeahmed