From 98cff557f907730260df92de0b101f5fe0e22029 Mon Sep 17 00:00:00 2001 From: Masahiro Masuda Date: Tue, 14 Apr 2020 04:58:22 +0900 Subject: [PATCH] typo fix --- tutorials/frontend/deploy_prequantized.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tutorials/frontend/deploy_prequantized.py b/tutorials/frontend/deploy_prequantized.py index 81b917ce17f3a..fb693c22bc7f4 100644 --- a/tutorials/frontend/deploy_prequantized.py +++ b/tutorials/frontend/deploy_prequantized.py @@ -19,13 +19,13 @@ ================================ **Author**: `Masahiro Masuda `_ -This is an a tutorial on loading models quantized by deep learning frameworks into TVM. +This is a tutorial on loading models quantized by deep learning frameworks into TVM. Pre-quantized model import is one of the quantization support we have in TVM. More details on the quantization story in TVM can be found `here `_. Here, we demonstrate how to load and run models quantized by PyTorch, MXNet, and TFLite. -Once loaded, we can run quantized models on any hardware TVM supports. +Once loaded, we can run compiled, quantized models on any hardware TVM supports. """ #################################################################################