Menu
I am using a very small model for testing purposes using tensorflow 2.3 and keras. Looking at my terminal, I get the following warning:
I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:118] None of the MLIR optimization passes are enabled (registered 1)
However, the code works as expected. But what does this message mean?
Thanks.
318
Hope it help! None of the MLIR Optimization Passes are enabled is a bit misleading as it refers to very particular workflow. But it is benign and has no effect - it just means a user didn’t opt in to a specific pass (which is not enabled by default), so it doesn’t indicate any error and was rather used as signal for developers.
The I at the beginning of the message means this is an informational log message. MLIR is being used as another solution to implementing and optimizing Tensorflow logic. This informative message is benign and is saying MLIR was not being used.
This is expected as in TF 2.3, the MLIR based implementation is still being developed and proven, so end users are generally not expected to use the MLIR implementation and are instead expected to use the non-MLIR feature complete implementation.
MLIR is being used as another solution to implementing and optimizing Tensorflow logic. This informative message is benign and is saying MLIR was not being used.
MLIR is being used as another solution to implementing and optimizing Tensorflow logic. This informative message is benign and is saying MLIR was not being used. This is expected as in TF 2.3, the MLIR based implementation is still being developed and proven, so end users are generally not expected to use the MLIR implementation and are instead expected to use the non-MLIR feature complete implementation.
Update: still experimental on version 2.9.1. On the docs it is written:
DO NOT USE, DEV AND TESTING ONLY AT THE MOMENT.
194
You need to assign verbose=1 in your code
41
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
