Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

Flyte

<https://github.com/flyteorg/flyte/issues/2571|#2571 [Plugin] TypeTransformer for TensorFlow TFRecord>
Issue created by <https://github.com/samhita-alla|samhita-alla>
We need to support writing to and reading from TFRecord format.

Reference doc: <https://www.tensorflow.org/tutorials/load_data/tfrecord|https://www.tensorflow.org/tutorials/load_data/tfrecord>

More on TypeTransfomers can be found <https://docs.flyte.org/projects/cookbook/en/latest/auto/core/extend_flyte/custom_types.html|here>.

Related PR that adds PyTorch tensor and module as Flyte types: <https://github.com/flyteorg/flytekit/pull/1032|flyteorg/flytekit#1032>
<https://github.com/flyteorg/flyte|flyteorg/flyte>

<https://github.com/flyteorg/flyte/issues/2571|#2571 [Plugin] TypeTransformer for TensorFlow TFRecord>
Issue closed as completed by <https://github.com/cosmicBboy|cosmicBboy>
<https://github.com/flyteorg/flyte|flyteorg/flyte>