The inference video reports an error： ValueError: Unable to create tensor, you should probably activate padding with 'padding=True' to have batched tensors with the same length.

NVlabs / VILA

VILA - a multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops)

Apache License 2.0

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The inference video reports an error： ValueError: Unable to create tensor, you should probably activate padding with 'padding=True' to have batched tensors with the same length. #78

Open changqinyao opened 1 week ago

oroojlooy commented 1 week ago

Same here with trying python -W ignore llava/eval/run_vila.py --model-path Efficient-Large-Model/Llama-3-VILA1.5-8b --conv-mode llama_3 --query "<image>\n Please describe the traffic condition." --image-file "demo_images/av.png"

oroojlooy commented 1 week ago

The issue is numpy 2.0.0. Using 1.x.x version fixes the issue: pip install numpy==1.26.4