use burn_backend::{
ExecutionError, FloatDType, Shape, TensorData,
ops::QTensorOps,
quantization::{QuantScheme, QuantizationParametersPrimitive},
tensor::{Device, FloatTensor, QuantizedTensor},
};
use crate::{BackendRouter, RouterChannel};
impl<R: RouterChannel> QTensorOps<Self> for BackendRouter<R> {
fn q_from_data(_data: TensorData, _device: &Device<Self>) -> QuantizedTensor<Self> {
unimplemented!()
}
fn quantize(
_tensor: FloatTensor<Self>,
_scheme: &QuantScheme,
_qparams: QuantizationParametersPrimitive<Self>,
) -> QuantizedTensor<Self> {
unimplemented!()
}
fn quantize_dynamic(
_tensor: FloatTensor<Self>,
_scheme: &QuantScheme,
) -> QuantizedTensor<Self> {
unimplemented!()
}
fn dequantize(_tensor: QuantizedTensor<Self>, _dtype: FloatDType) -> FloatTensor<Self> {
unimplemented!()
}
fn q_to_device(
_tensor: QuantizedTensor<Self>,
_device: &Device<Self>,
) -> QuantizedTensor<Self> {
unimplemented!()
}
fn q_reshape(_tensor: QuantizedTensor<Self>, _shape: Shape) -> QuantizedTensor<Self> {
unimplemented!()
}
async fn q_into_data(_tensor: QuantizedTensor<Self>) -> Result<TensorData, ExecutionError> {
unimplemented!()
}
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!()
}
}