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Zhitao Li
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Some more updates.
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rfcs/20210307-tfx-api-artifact-compat.md

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@@ -149,8 +149,8 @@ is only guaranteed to work with one version of TensorFlow.
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Meanwhile, there are users who need to use a different version of TensorFlow in
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their training code, therefore we anticipate a need to mix TFX components which
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link with different TensorFlow versions in the same pipeline. This is possible
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in a containerized deployment, because each component could be configured with
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different container images. In order to process Artifacts produced from
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in a containerized deployment, because we will support configuring each component
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with different container images. In order to process Artifacts produced from
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different TensorFlow versions, we will rely on the guarantees provided by
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TensorFlow on SavedModel
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([source](https://www.tensorflow.org/guide/versions#compatibility_of_savedmodels_graphs_and_checkpoints)),
@@ -233,7 +233,8 @@ compatibility guarantee is the following:
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version of a component, we do not guarantee this will work. A warning will
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be generated in this case.
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* Resolvers and importers would only resolve Artifacts produced with same or
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older versions of the library, by default.
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older versions of the library, by default. A warning will be issued for
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any artifacts skipped due to newer versions.
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#### SDK (aka DSL), Official Components {#sdk-aka-dsl-official-components}
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