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Inside TensorFlow: MLIR for TF developers
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Take an inside look into the TensorFlow team’s own internal training sessions--technical deep dives into TensorFlow by the very people who are building it. On this episode of Inside TensorFlow, Software Engineer Jacques Pienaar discusses MLIR: multi-level intermediate representation compiler infrastructure for TensorFlow developers. Let us know what you think about this presentation in the comments below!
Links:
Links:
Inside TensorFlow: MLIR for TF developers
inside tensorflow mlir for tf developers
Inside TensorFlow: New TF Lite Converter
MLIR: Accelerating TF with compilers (TF Dev Summit '20)
MLIR Open Meeting 2019-08-01: TensorFlow Graph Representation in MLIR
TFRT: A new TensorFlow runtime (TF Dev Summit '20)
Inside TensorFlow: Control Flow
Inside TensorFlow: Eager execution runtime
Inside TensorFlow: Resources and Variants
Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)
Inside TensorFlow: Functions, not sessions
RISE A functional pattern-based language in MLIR
Performance profiling in TF 2 (TF Dev Summit '20)
2023 EuroLLVM - MLIR-based offline memory planning and other graph-level optimizations for xcore.ai
MLIR Open Meeting 2021-08-26: High Performance GPU Tensor CoreCode Generation for Matmul Using MLIR
TensorFlow Lite: Solution for running ML on-device (TF World '19)
2019 EuroLLVM Developers’ Meeting: T. Joerg “Automated GPU Kernel Fusion with XLA”
Open MLIR Meeting 12-15-2022: Embedded Reactive Programming in MLIR
MLIR: Accelerating AI - Chris Lattner and Tatiana Shpeisman
MLIR Open Meeting 2022-02-10: PyTACO - An End-to-End Use Case for the Sparse Tensor Compiler
MLIR Open Meeting 2021-06-10: Language Server Protocol for MLIR
MLIR Open Meeting 2019-07-18: A proposal to add layout to Tensor
Day 2 Keynote (TF World '19)
Inside TensorFlow: TensorFlow Lite
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