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Resource Import Failed: Negative Dimensions

  • Hi R. Scott Salandy-Defour,

    Would mind sharing your model with us for investigation? Dimension here refers to the shape to your model output which should always be positive. For example a classification model that classifies `cats` from `dogs` should produce an output of dimension [1,2] (e.g [0.95, 0.05]), where the position of the largest value corresponds to the model's prediction.

    Eric

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  • Hi Eric, Thanks for getting back to me. Not sure if it's allowed but I tried to share with a google drive link. Let me know if I should try something else.

    https://drive.google.com/drive/folders/1J9M8pKB1vQL0FbuFBbliwUS32ztPb4zH?usp=sharing 

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  • Hi R. Scott Salandy-Defour,

    Thanks for sharing your model. I looked into your model and turns out it is expecting dynamic batch sizes which we do not support currently. Modifying the model input and output requires some non-trivial ML knowledge. Therefore I would recommend check models in our tutorials and also in Torchvision.models and see if any of them can solve your current task.

    Thanks,

    Eric

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