burn-autodiff 0.21.0

Automatic differentiation backend for the Burn framework
Documentation 
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use burn_backend::{
    Backend, ExecutionError, TensorData,
    ops::QTensorOps,
    tensor::{
        Device, FloatTensor, IntTensor, QuantizedTensor,
        quantization::QuantizationParametersPrimitive,
    },
};
use burn_std::{FloatDType, IntDType, QuantScheme, Shape};

use crate::{Autodiff, checkpoint::strategy::CheckpointStrategy};

impl<B: Backend, C: CheckpointStrategy> QTensorOps<Self> for Autodiff<B, C> {
    fn q_from_data(_data: TensorData, _device: &Device<Self>) -> QuantizedTensor<Self> {
        todo!()
    }

    fn quantize(
        _tensor: FloatTensor<Self>,
        _scheme: &QuantScheme,
        _qparams: QuantizationParametersPrimitive<Self>,
    ) -> QuantizedTensor<Self> {
        todo!() // required for QAT
    }

    fn quantize_dynamic(
        _tensor: FloatTensor<Self>,
        _scheme: &QuantScheme,
    ) -> QuantizedTensor<Self> {
        todo!()
    }

    fn dequantize(_tensor: QuantizedTensor<Self>, _dtype: FloatDType) -> FloatTensor<Self> {
        todo!()
    }

    fn q_device(tensor: &QuantizedTensor<Self>) -> Device<Self> {
        B::q_device(tensor)
    }

    fn q_to_device(
        _tensor: QuantizedTensor<Self>,
        _device: &Device<Self>,
    ) -> QuantizedTensor<Self> {
        unimplemented!()
    }

    fn q_reshape(tensor: QuantizedTensor<Self>, shape: Shape) -> QuantizedTensor<Self> {
        B::q_reshape(tensor, shape)
    }

    async fn q_into_data(tensor: QuantizedTensor<Self>) -> Result<TensorData, ExecutionError> {
        B::q_into_data(tensor).await
    }

    fn q_swap_dims(
        _tensor: QuantizedTensor<Self>,
        _dim1: usize,
        _dim2: usize,
    ) -> QuantizedTensor<Self> {
        unimplemented!()
    }

    fn q_permute(_tensor: QuantizedTensor<Self>, _axes: &[usize]) -> QuantizedTensor<Self> {
        unimplemented!()
    }

    fn q_flip(_tensor: QuantizedTensor<Self>, _axes: &[usize]) -> QuantizedTensor<Self> {
        unimplemented!()
    }

    fn q_gather(
        _dim: usize,
        _tensor: QuantizedTensor<Self>,
        _indices: IntTensor<Self>,
    ) -> QuantizedTensor<Self> {
        unimplemented!()
    }

    fn q_select(
        _tensor: QuantizedTensor<Self>,
        _dim: usize,
        _indices: IntTensor<Self>,
    ) -> QuantizedTensor<Self> {
        unimplemented!()
    }

    fn q_slice(
        _tensor: QuantizedTensor<Self>,
        _slices: &[burn_std::Slice],
    ) -> QuantizedTensor<Self> {
        unimplemented!()
    }

    fn q_argmax(tensor: QuantizedTensor<Self>, dim: usize, out_dtype: IntDType) -> IntTensor<Self> {
        B::q_argmax(tensor, dim, out_dtype)
    }

    fn q_argmin(tensor: QuantizedTensor<Self>, dim: usize, out_dtype: IntDType) -> IntTensor<Self> {
        B::q_argmin(tensor, dim, out_dtype)
    }

    fn q_expand(_tensor: QuantizedTensor<Self>, _shape: Shape) -> QuantizedTensor<Self> {
        unimplemented!()
    }
}