Returns True
if resource variables are enabled.
tf.resource_variables_enabled()
Resource variables are improved versions of TensorFlow variables with a well-defined memory model. Accessing a resource variable reads its value, and all ops which access a specific read value of the variable are guaranteed to see the same value for that tensor. Writes which happen after a read (by having a control or data dependency on the read) are guaranteed not to affect the value of the read tensor, and similarly writes which happen before a read are guaranteed to affect the value. No guarantees are made about unordered read/write pairs.
Calling tf.enable_resource_variables() lets you opt-in to this TensorFlow 2.0 feature.
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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/resource_variables_enabled