FastViT fixes. (#2452)
* correct optional SE layer dimensions. * head_dim instead of num_heads is 32. * update test example output.
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@ -241,7 +241,7 @@ If you have an addition to this list, please submit a pull request.
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- Parler-TTS, text-to-speech model.
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- Computer Vision Models.
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- DINOv2, ConvMixer, EfficientNet, ResNet, ViT, VGG, RepVGG, ConvNeXT,
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ConvNeXTv2, MobileOne, EfficientVit (MSRA), MobileNetv4, Hiera.
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ConvNeXTv2, MobileOne, EfficientVit (MSRA), MobileNetv4, Hiera, FastViT.
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- yolo-v3, yolo-v8.
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- Segment-Anything Model (SAM).
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- SegFormer.
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@ -12,9 +12,9 @@ $ cargo run --example fastvit --release -- --image candle-examples/examples/yolo
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loaded image Tensor[dims 3, 256, 256; f32]
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model built
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mountain bike, all-terrain bike, off-roader: 43.45%
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bicycle-built-for-two, tandem bicycle, tandem: 14.16%
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unicycle, monocycle : 4.12%
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crash helmet : 2.26%
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alp : 1.40%
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mountain bike, all-terrain bike, off-roader: 52.67%
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bicycle-built-for-two, tandem bicycle, tandem: 7.93%
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unicycle, monocycle : 3.46%
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maillot : 1.32%
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crash helmet : 1.28%
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```
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@ -339,8 +339,8 @@ fn positional_encoding(dim: usize, vb: VarBuilder) -> Result<Func<'static>> {
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fn attention(dim: usize, vb: VarBuilder) -> Result<Func<'static>> {
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let qkv = linear_no_bias(dim, dim * 3, vb.pp("qkv"))?;
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let proj = linear(dim, dim, vb.pp("proj"))?;
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let num_heads = 32;
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let head_dim = dim / num_heads;
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let head_dim = 32;
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let num_heads = dim / head_dim;
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let scale = (head_dim as f64).powf(-0.5);
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Ok(Func::new(move |xs| {
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@ -434,7 +434,7 @@ fn fastvit_patch_embed(
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) -> Result<Func<'static>> {
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let lk = conv_norm(in_channels, out_channels, 7, 2, vb.pp("proj.0.large_conv"))?;
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let sk = conv_norm(in_channels, out_channels, 3, 2, vb.pp("proj.0.small_conv"))?;
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let se = squeeze_and_excitation(out_channels, out_channels / 16, vb.pp("proj.0.se"));
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let se = squeeze_and_excitation(out_channels, out_channels / 4, vb.pp("proj.0.se"));
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let mb = mobileone_block(out_channels, out_channels, 1, 1, 0, true, vb.pp("proj.1"))?;
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Ok(Func::new(move |xs| {
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