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Introduction
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Sponsors
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Next tinyML Talks
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Local Committee
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Speaker Introduction
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Deployment Challenge
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Why is Bare Meta so hard
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What is TBM
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TBM traction
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MicroTVM approach
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What is microTVM
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Model compilation
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Autotbm
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Parameters
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Running a model
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Host Driven
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Standalone
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Quantization
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Explaining the target
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Running the compiler
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Building a hostdriven binary
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Future directions
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pending questions
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closing
Description:
Explore the world of microTVM, a tensor compiler for bare metal devices, in this 58-minute tinyML Talks Tokyo meetup webcast. Dive into the challenges of deploying machine learning models on resource-constrained devices and learn how microTVM addresses these issues. Discover the inner workings of microTVM, including model compilation, autotvm, and quantization techniques. Follow along with a demonstration of the compiler in action, covering host-driven and standalone approaches. Gain insights into future directions for microTVM and opportunities for involvement in this open-source project. Whether you're a developer, researcher, or enthusiast in the field of tiny machine learning, this talk provides valuable knowledge on optimizing tensor-oriented models for bare metal environments.

MicroTVM: A Tensor Compiler for Bare Metal

tinyML
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