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TASO: The Tensor Algebra SuperOptimizer for Deep Learning
- TASO optimizes the computation graphs of DNN models using automatically generated and verified graph transformations. For an arbitrary DNN model, TASO u…
- End-to-end inference performance comparison on a NVIDIA V10… See more
WEBTo optimize a given DNN com-putation graph, TASO performs a cost-based backtracking search, applying the substitutions to find an optimized graph, which can be directly used …
WEBTo optimize a given DNN com-putation graph, TASO performs a cost-based backtracking search, applying the substitutions to find an optimized graph, which can be directly used …
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Catalyst: TASO - Carnegie Mellon University
WEBTASO outperforms the graph optimizers in existing deep learning frameworks by up to 3x. TASO directly optimizes any pre-trained DNN models in ONNX, TensorFlow, and …
TASO | Proceedings of the 27th ACM Symposium on Operating …
WEBOct 27, 2019 · We propose TASO, the first DNN computation graph optimizer that automatically generates graph substitutions. TASO takes as input a list of operator …
TASO: Optimizing deep learning computation with automatic …
WEBWe propose TASO, the first DNN computation graph optimizer that automatically generates graph substitutions. TASO takes as input a list of operator specifications and generates …
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WEBOverview. • TASO automates generation of graph substitutions • Framework agnostic (cuDNN + TVM) • Takes operator specifications as an input • Does so in a few stages: • …
TASO: optimizing deep learning computation with ... - ResearchGate
WEBOct 27, 2019 · We propose TASO, the first DNN computation graph optimizer that automatically generates graph substitutions. TASO takes as input a list of operator …
[PDF] TASO: optimizing deep learning computation with …
WEBOct 27, 2019 · We propose TASO, the first DNN computation graph optimizer that automatically generates graph substitutions. TASO takes as input a list of operator …
WEBTASO (Tensor Algebra SuperOptimizer) Automatic generation of graph substitutions. Formal verification of generated substitutions. Joint optimization over graph substitution …
WEB•PET: non-fully equivalent graph substitutions (Wang, 2021) •Equality Saturation: improves joint optimization algorithm (Yang, 2021) •Unity: jointly optimizes graph substitutions, …
WEBTASO: Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions - By Zhihao Jia, Oded Padon, James Thomas, Todd Warszawski, Matei …
TASO: The Tensor Algebra SuperOptimizer for Deep Learning
WEBTASO outperforms the graph optimizers in existing deep learning frameworks by up to 3x. End-to-end inference performance comparison on a NVIDIA V100 GPU. Install TASO. …
WEBTASO: Tensor Algebra SuperOptimizer. Key idea: replace manually-designed graph optimizations with automated generation and verification of graph substitutions for tensor …
TASO: The Tensor Algebra SuperOptimizer for Deep Learning
WEBTASO can directly optimize any pre-trained DNN models in ONNX, TensorFlow, and PyTorch graph formats.\nTASO also provides a Python interface for optimizing arbitrary …
WEBIn mapping a computational graph to machine code that executes on a collection of devices, ML compilers need to solve many optimization problems including graph rewriting, …
TASO: Time and Space Optimization for Memory-Constrained …
WEBMay 21, 2020 · We propose an approach for ahead-of-time domain specific optimization of CNN models, based on an integer linear programming (ILP) for selecting primitive …
WEBWe model the task of configuring a DNN to achieve the best inference time under memory constraint as an integer linear programming (ILP) problem. Typical DNNs can be viewed …
TASO: A Tensor Algebra SuperOptimizer - 知乎 - 知乎专栏
WEBTACO是第一个自动生成子图替换的神经网络优化器。 它将 operator specifications 作为输入，生成一系列可替换的子图 candidates, 利用自动的 theorem prover来通过形式化验 …
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