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### Describe the feature request
**Here is the proposal:**
If we have an ONNX file of float16s. This might be a file of 10GB.
Let's say we "quantize" these into int8's. So now the file is of si…
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Hi,
I have adapted DIS by general use model for my iPhone App, ClipEdge.
I imagine that without V2, the learning is not yet optimized for human and animals, but contrary to my expectations, it rec…
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I see `backend_type` parameter in some layer classes constructors such as `convolutional_layer`, `deconvolutional_layer`, `fully_connected_layer`, `max_pooling_layer`, `quantized_convolutional_layer`,…
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您好,我看到咱们的设计确实比较优秀,有很多值得我们学习的地方!所以,想问一些咱们设计的所参考的一些文献,能否分享一下吗?比如量化部分的文献资料。谢谢啦!
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Hi everyone, i have a simple question: if i look at the summary of every model in larq, it looks like that computation for batch normalization has been binarized. I would like to know how this is done…
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The following code for the contiguous check in **shape.rs** will trigger problems for the squeezed tensor (n-dim to 1-dim) because of the " if dim > 1" condition (recently added ).
``` rust
//…
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hello, when i train quantized model by pytorch-jacinto-ai-devkit, a class called **QuantizeDequantizeG**, when doing loss.backward(), it's backword() function is not used,,, the code is in xnn/layers…
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I read your paper Yesterday. In your paper, you had said that: it is a variation of the Conv layer and can replaced the standard Conv. As the Fig.3 show, I think it does. But from the code in the git…
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We need to convert keras.io examples to work with Keras 3.
This involves two stages:
## Stage 1: tf.keras backwards compatibility check
Keras 3 is intended as a drop-in replacement for tf.ker…