astype ( "float32" ) # ONNX expects NCHW input, so convert the array img_data = np. preprocess.py from import download_testdata from PIL import Image import numpy as np img_url = "" img_path = download_testdata ( img_url, "imagenet_cat.png", module = "data" ) # Resize it to 224x224 resized_image = Image. Making your Hardware Accelerator TVM-ready with UMA.Quick Start Tutorial for Compiling Deep Learning Models.Optimizing Operators with Auto-scheduling.Optimizing Operators with Schedule Templates and AutoTVM.Working with Operators Using Tensor Expression. Compiling and Optimizing a Model with the Python Interface (AutoTVM).Getting Starting using TVMC Python: a high-level API for TVM.Compiling an Optimized Model with Tuning Data.Running the Model from The Compiled Module with TVMC.Compiling an ONNX Model to the TVM Runtime.Compiling and Optimizing a Model with TVMC.An Overview of TVM and Model Optimization.
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