burn_autodiff/ops/
qtensor.rsuse std::ops::Range;
use burn_tensor::{
backend::Backend,
ops::{FloatTensor, IntTensor, QTensorOps, QuantizedTensor},
quantization::{QuantizationParametersPrimitive, QuantizationScheme},
Device, Shape, TensorData,
};
use crate::{checkpoint::strategy::CheckpointStrategy, Autodiff};
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: &QuantizationScheme,
_qparams: QuantizationParametersPrimitive<Self>,
) -> QuantizedTensor<Self> {
todo!() }
fn quantize_dynamic(
_tensor: FloatTensor<Self>,
_scheme: &QuantizationScheme,
) -> QuantizedTensor<Self> {
todo!()
}
fn dequantize(_tensor: QuantizedTensor<Self>) -> FloatTensor<Self> {
todo!()
}
fn q_shape(tensor: &QuantizedTensor<Self>) -> Shape {
B::q_shape(tensor)
}
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>) -> TensorData {
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>, _ranges: &[Range<usize>]) -> QuantizedTensor<Self> {
unimplemented!()
}
fn q_argmax(tensor: QuantizedTensor<Self>, dim: usize) -> IntTensor<Self> {
B::q_argmax(tensor, dim)
}
fn q_argmin(tensor: QuantizedTensor<Self>, dim: usize) -> IntTensor<Self> {
B::q_argmin(tensor, dim)
}
fn q_expand(_tensor: QuantizedTensor<Self>, _shape: Shape) -> QuantizedTensor<Self> {
unimplemented!()
}
}