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rfcs/20191017-tfx-standardized-inputs.md

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@@ -671,8 +671,7 @@ requirements:
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| Lossless encoding (nullity) | Yes | No (see remark 1) |
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| Efficient translatable to Tensors | Yes (see remark 2) | Yes |
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| Efficient slicing, filtering and concatenation | Yes | No (see remark 3) |
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| Interoperability with the rest of the world | Good through Apache Arrow |
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Needs adaptation (see remark 4) |
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| Interoperability with the rest of the world | Good through Apache Arrow | Needs adaptation (see remark 4) |
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Remarks:
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@@ -687,9 +686,9 @@ Remarks:
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clause) will be added over time.
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4. We may gain similar interoperability by creating an Arrow to
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StructuredTensor adapter.
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* Beyond the technical aspects, we believe by having all the TFX libraries
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directly adopting a popular OSS in-memory format will send a positive
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message that TFX is meant to work well with the rest of the world.
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* Beyond the technical aspects, we believe by having all the TFX libraries
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directly adopting a popular OSS in-memory format will send a positive
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message that TFX is meant to work well with the rest of the world.
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## tf.Data
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