8/24/2023 0 Comments Tvmc downloadtranspose ( img_data, ( 2, 0, 1 )) # Normalize according to ImageNet imagenet_mean = np. 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.
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