Apache TVM is a compiler stack for deep learning systems. It is designed to close the gap between the productivity-focused deep learning frameworks and the performance- and …

2025年1月23日 · The TVM community has worked since the v0.15.0 release to deliver the following new exciting improvements! This release version is: First support of Relax, with …

Apache TVM is a compiler stack for deep learning systems. It is designed to close the gap between the productivity-focused deep learning frameworks and the performance- and …

tvm 是一个开源的深度学习编译器，适用于 cpu、gpu、arm 等多种硬件架构，旨在使机器学习工程师能够在任意硬件后端，高效地运行并优化计算。 鉴于 TVM 相关的中文学习资料比较零散， …

All the TVM tutorials can be opened and used interactively in Google Colab by clicking the button at the top of the page. To do this, sphinx-gallery builds .ipynb files from each tutorial, which are …

2024年9月20日 · [Bug] Unable to compile Apache TVM runtime for MIPS platform needs-triage PRs or issues that need to be investigated by maintainers to find the right assignees to …

2025年4月6日 · Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

Extension package of TVM Deep Learning Compiler for Renesas DRP-AI accelerators powered by EdgeCortix MERA™ (DRP-AI TVM)

compiler learning resources collect. Contribute to BBuf/tvm_mlir_learn development by creating an account on GitHub.

VTA (versatile tensor accelerator) is an open-source deep learning accelerator complemented with an end-to-end TVM-based compiler stack. The key features of VTA include: Generic, …