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Update RELEASE.md

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Abdul Baseer Khan 2020-06-04 06:34:41 +05:30 committed by GitHub
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@ -164,7 +164,7 @@ Coinciding with this change, new releases of [TensorFlow's Docker images](https:
* `saved_model_cli aot_compile_cpu` allows you to compile saved models to XLA header+object files and include them in your C++ programs. * `saved_model_cli aot_compile_cpu` allows you to compile saved models to XLA header+object files and include them in your C++ programs.
* Enable `Igamma`, `Igammac` for XLA. * Enable `Igamma`, `Igammac` for XLA.
* Deterministic Op Functionality: * Deterministic Op Functionality:
* XLA reduction emitter is deterministic when the environment variable `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends deterministic `tf.nn.bias_add` back-prop functionality (and therefore also deterministic back-prop of bias-addition in Keras layers) to include when XLA JIT complilation is enabled. * XLA reduction emitter is deterministic when the environment variable `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends deterministic `tf.nn.bias_add` back-prop functionality (and therefore also deterministic back-prop of bias-addition in Keras layers) to include when XLA JIT compilation is enabled.
* Fix problem, when running on a CUDA GPU and when either environment variable `TF_DETERMINSTIC_OPS` or environment variable `TF_CUDNN_DETERMINISTIC` is set to "true" or "1", in which some layer configurations led to an exception with the message "No algorithm worked!" * Fix problem, when running on a CUDA GPU and when either environment variable `TF_DETERMINSTIC_OPS` or environment variable `TF_CUDNN_DETERMINISTIC` is set to "true" or "1", in which some layer configurations led to an exception with the message "No algorithm worked!"
* Tracing and Debugging: * Tracing and Debugging:
* Add source, destination name to `_send` traceme to allow easier debugging. * Add source, destination name to `_send` traceme to allow easier debugging.