mirror of https://github.com/tracel-ai/burn.git
c0211e2f94
* Add QuantizationBackend, QTensorOps and QTensor * Refactor QTensorOps as part of Backend trait * Add tensor dequantize, QFloat dtype and default affine/symmetric quant * Add ndarray default quantization implementation * Fix clippy * Add rayon parallel iter * Add quantization operations to book * Add q_shape and q_device ops to avoid converting the tensor just to get attributes * Implement autodiff grad ops * Mark autodiff todo for QAT * Remove note * Add q_inner and q_from_inner |
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| .. | ||
| custom-csv-dataset | ||
| custom-image-dataset | ||
| custom-renderer | ||
| custom-training-loop | ||
| custom-wgpu-kernel | ||
| gelu | ||
| guide | ||
| image-classification-web | ||
| mnist | ||
| mnist-inference-web | ||
| named-tensor | ||
| notebook | ||
| onnx-inference | ||
| pytorch-import | ||
| simple-regression | ||
| text-classification | ||
| text-generation | ||