conv1d - clean up comments

src/nn/conv1d.rs

@@ -41,16 +41,10 @@ where
     }
 }
 
-/// **Requires Nightly** Performs *unbiased* 2d convolutions on 3d and 4d images.
+/// **Requires Nightly** Performs *unbiased* 1d convolutions on 2d and 3d images.
 ///
 /// **Pytorch Equivalent**: `torch.nn.Conv1d(..., bias=False)`
 ///
-/// To create a biased conv, combine with [crate::nn::modules::Bias2D]:
-/// ```ignore
-/// # use dfdx::prelude::*;
-/// type BiasedConv = (Conv1D<3, 5, 4>, Bias2D<5>);
-/// ```
-///
 /// Generics:
 /// - `IN_CHAN`: The number of input channels in an image.
 /// - `OUT_CHAN`: The number of channels in the output of the layer.

src/tensor_ops/conv1d/mod.rs

@@ -49,7 +49,7 @@ pub(super) trait Conv1DKernel<E: Dtype>: Storage<E> {
     ) -> Result<(), Self::Err>;
 }
 
-/// Apply the 1d convolution to a tensor.
+/// Applies a 1d convolution to a tensor.
 ///
 /// [Const] dims **require nightly**:
 /// ```ignore
@@ -91,7 +91,7 @@ pub trait TryConv1D<Stride, Padding, Dilation, Groups>: Sized {
     type Convolved;
     type Error: std::fmt::Debug;
 
-    /// Applies a 2D convolution to the input tensor.
+    /// Applies a 1D convolution to the input tensor.
     fn conv1d(
         self,
         stride: Stride,
@@ -102,7 +102,7 @@ pub trait TryConv1D<Stride, Padding, Dilation, Groups>: Sized {
         self.try_conv1d(stride, padding, dilation, groups).unwrap()
     }
 
-    /// Fallibly applies a 2D convolution to the input tensor.
+    /// Fallibly applies a 1D convolution to the input tensor.
     fn try_conv1d(
         self,
         stride: Stride,