Releases
v2.0.0
initial release compatible with TensorFlow 2.x.
API changes:
removed TFNode.start_cluster_server
, which is not required for tf.keras
and tf.estimator
.
removed TFNode.export_saved_model
, which can be replaced by TF native APIs now.
added TFNodeContext.num_workers
to count master
, chief
, and worker
nodes.
Spark ML Pipeline API changes:
Scala API has been removed for now, since the Java library for TensorFlow 2.0 is not available yet.
removed InputMode.TENSORFLOW
support for ML Pipelines, since the input data is always a Spark DataFrame for this API.
added HasMasterNode
and HasGraceSecs
params.
removed optional export_fn
argument for Spark ML TFEstimator
(use TF export APIs instead).
added standard default values for signature_def_key
and tag_set
for Spark ML TFModel
.
modified inferencing code in TFModel
for TF2.x APIs.
older TF 1.x examples have been replaced with TF 2.x compatible examples.
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