feat: implement TensorBase for ADTensor

burn-tensor/src/tensor/backend/arrayfire/tensor.rs

@@ -66,10 +66,6 @@ impl<P: HasAfEnum + Default + Copy + std::fmt::Debug, const D: usize> TensorBase
         }
     }
 
-    fn from<O: TensorBase<P, D>>(other: O) -> Self {
-        Self::from_data(other.into_data(), Device::CPU)
-    }
-
     fn shape(&self) -> &Shape<D> {
         &self.shape
     }

burn-tensor/src/tensor/backend/autodiff/ops/mul.rs

@@ -80,7 +80,6 @@ mod tests {
     use super::*;
     use crate::{
         backend::tch::TchTensor,
-        node_init,
         tape::{Tape, TapeRef},
         Data, TensorBase,
     };
@@ -95,8 +94,8 @@ mod tests {
         let tensor_1 = TchTensor::from_data(data_1.clone(), tch::Device::Cpu);
         let tensor_2 = TchTensor::from_data(data_2.clone(), tch::Device::Cpu);
 
-        let tensor_ad_1 = ADTensor::new(node_init!(root tensor_1), tape.clone());
-        let tensor_ad_2 = ADTensor::new(node_init!(root tensor_2), tape.clone());
+        let tensor_ad_1 = ADTensor::from_tensor(tensor_1, tape.clone());
+        let tensor_ad_2 = ADTensor::from_tensor(tensor_2, tape.clone());
 
         let tensor_ad_3 = tensor_ad_1.mul(&tensor_ad_2);
         let data_ad_3 = tensor_ad_3.tensor().into_data();

burn-tensor/src/tensor/backend/autodiff/tensor.rs

@@ -1,8 +1,9 @@
 use crate::{
     node::{NodeRef, Ones, Zeros},
+    node_init,
     ops::InitRecordedOps,
     tape::TapeRef,
-    FloatTensor, Shape,
+    FloatTensor, Shape, TensorBase,
 };
 use num_traits::Float;
 
@@ -14,15 +15,29 @@ pub struct ADTensor<P, const D: usize, T> {
     pub tape: TapeRef,
 }
 
+impl<T, P, const D: usize> TensorBase<P, D> for ADTensor<P, D, T>
+where
+    P: Float + Zeros<P> + Default + 'static,
+    T: FloatTensor<P, D> + Clone + Zeros<T> + Ones<T> + 'static,
+{
+    fn shape(&self) -> &Shape<D> {
+        &self.shape
+    }
+
+    fn into_data(self) -> crate::Data<P, D> {
+        self.tensor().into_data()
+    }
+}
+
 impl<T, P, const D: usize> ADTensor<P, D, T>
 where
     P: Float + Zeros<P> + Default + 'static,
     T: FloatTensor<P, D> + Clone + Zeros<T> + Ones<T> + 'static,
 {
-    pub fn new(node: NodeRef<T>, tape: TapeRef) -> Self {
-        let tensor = node.borrow().value();
+    pub fn from_tensor(tensor: T, tape: TapeRef) -> Self {
         let shape = tensor.shape().clone();
         let kind = ADKind::new();
+        let node = node_init!(root tensor);
 
         let ops = InitRecordedOps::new(node.clone());
         let ops = Box::new(ops);

burn-tensor/src/tensor/backend/tch/tensor.rs

@@ -79,11 +79,8 @@ impl<P: tch::kind::Element + Default, const D: usize> TchTensor<P, D> {
         }
     }
 }
-
-impl<P: tch::kind::Element + Default + Copy + std::fmt::Debug, const D: usize> TensorBase<P, D>
-    for TchTensor<P, D>
-{
-    fn empty(shape: Shape<D>) -> Self {
+impl<P: tch::kind::Element + Default + Copy + std::fmt::Debug, const D: usize> TchTensor<P, D> {
+    pub fn empty(shape: Shape<D>) -> Self {
         let shape_tch = TchShape::from(shape.clone());
         let device = tch::Device::Cpu;
         let kind = TchKind::new();
@@ -96,11 +93,11 @@ impl<P: tch::kind::Element + Default + Copy + std::fmt::Debug, const D: usize> T
             shape,
         }
     }
+}
 
-    fn from<O: TensorBase<P, D>>(other: O) -> Self {
-        Self::from_data(other.into_data(), tch::Device::Cpu)
-    }
-
+impl<P: tch::kind::Element + Default + Copy + std::fmt::Debug, const D: usize> TensorBase<P, D>
+    for TchTensor<P, D>
+{
     fn shape(&self) -> &Shape<D> {
         &self.shape
     }

burn-tensor/src/tensor/tensor.rs

@@ -19,8 +19,6 @@ pub trait FloatTensor<P: num_traits::Float, const D: usize>:
 pub trait TensorBase<P, const D: usize> {
     fn shape(&self) -> &Shape<D>;
     fn into_data(self) -> Data<P, D>;
-    fn from<O: TensorBase<P, D>>(other: O) -> Self;
-    fn empty(shape: Shape<D>) -> Self;
 }
 
 pub trait TensorOpsAdd<P, const D: usize>: