|View source on GitHub|
Creates resource variables by default.
Used in the notebooks
|Used in the tutorials|
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.