About the SIG MLIR category

SIG MLIR fosters open discussion on high performance compilers and how optimization techniques can be applied to TensorFlow graphs.

Ultimately this project aims to create a common intermediate representation that reduces the cost of new hardware and improves usability for existing TensorFlow users.

To contribute to TensorFlow MLIR, join the conversation at our monthly meeting.

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