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6056fd5c90
* onnx: fix pad, unsqueeze both implementations have off-by-one errors: - Pad 'reflect' cycle for eg `dim==3` is `[0,1,2,1]` which has length of 4 (or `dim*2 - 2`) not 5 (current code `dim*2 - 1`) - Unsqueeze(-1) for tensor with `dim==3` should be 3 (ie `dim+index+1`) not 2 (ie currently `dim+index`) in addition, Pad is incorrectly calculating the starting padding. If we want to pad out 2 elements to the start, and we have this cycle of indices of length 6, then we should skip 4 elements, but currently we skip 2. A more visual representation of what's going on is below: ``` pad_start: 2 data: [a,b,c,d] indices: [0, 1, 2, 3, 2, 1, 0, 1, 2, 3, 2, 1, 0, ..] // zigzag between 0..4 actual: skip [ c d| c b a b] expected: ~ skip ~ [ c b| a b c d] ``` The values between `[` and `|` are padding and the values between `|` and `]` in the example should match the original data being padded. * Fix clippy lints. --------- Co-authored-by: Laurent <laurent.mazare@gmail.com>
candle-beit
Beit is a computer vision model. In this example, it is used as an ImageNet classifier: the model returns the probability for the image to belong to each of the 1000 ImageNet categories.
Running some example
cargo run --example beit --release -- --image candle-examples/examples/yolo-v8/assets/bike.jpg
> mountain bike, all-terrain bike, off-roader: 56.16%
> bicycle-built-for-two, tandem bicycle, tandem: 3.08%
> maillot : 2.23%
> alp : 0.88%
> crash helmet : 0.85%
