With all this in mind, we’d like to announce MLIR, or Multi-Level Intermediate Representation. This is a representation format and library of compiler utilities that sits between the model …
The MLIR project defines a common intermediate representation (IR) that unifies the infrastructure required to execute high performance machine learning models in TensorFlow and similar ML …
Jan 28, 2021 · MLIR, or Multi-Level Intermediate Representation, is a representation format and library of compiler utilities that sits between the model representation and low-level …
'mlir_module' is a serialized MLIR module with a main function that contains target computation. 'dynamic_shapes' contains dynamic shapes of arguments whose shapes were not known …
Deploy ML on mobile, microcontrollers and other edge devices. TFX. Build production ML pipelines. All libraries. Create advanced models and extend TensorFlow. RESOURCES. …
Jan 28, 2021 · To separate different hardware and software targets, MLIR has “dialects”, including: TensorFlow IR, which represents all things possible in TensorFlow graphs. XLA …
Mar 6, 2024 · TensorFlow. Resources. MLIR. Guide. Save and categorize content based on your preferences. Except as otherwise noted, the content of this page is licensed under the …
Le projet MLIR définit une représentation intermédiaire commune qui unifie l'infrastructure requise pour exécuter des modèles de machine learning hautes performances dans TensorFlow et …