Dilated convolutions (#657)

* Add the dilation parameter.

* Restore the basic optimizer example.

* Dilation support in cudnn.

* Use the dilation parameter in the cpu backend.

* More dilation support.

* No support for dilation in transposed convolutions.

* Add dilation to a test.

* Remove a print.

* Helper function.

1 files changed, 3 insertions, 3 deletions

diff --git a/candle-core/examples/cuda_basics.rs b/candle-core/examples/cuda_basics.rs
index cbdafd64..ad207461 100644
--- a/candle-core/examples/cuda_basics.rs
+++ b/candle-core/examples/cuda_basics.rs
@@ -11,11 +11,11 @@ fn main() -> Result<()> {
     let device = Device::new_cuda(0)?;
     let in_t = Tensor::rand(-1f32, 1f32, (1, 3, 12, 7), &device)?;
     let k_t = Tensor::rand(-1f32, 1f32, (6, 3, 1, 1), &device)?;
-    let out_t = in_t.conv2d(&k_t, 0, 1, 1)?;
+    let out_t = in_t.conv2d(&k_t, 0, 1, 1, 1)?;
     println!("{out_t}");
     let in_t = in_t.to_device(&Device::Cpu)?;
     let k_t = k_t.to_device(&Device::Cpu)?;
-    let out_t2 = in_t.conv2d(&k_t, 0, 1, 1)?;
+    let out_t2 = in_t.conv2d(&k_t, 0, 1, 1, 1)?;
     let diff = (out_t.to_device(&Device::Cpu)? - out_t2)?
         .sqr()?
         .sum_all()?;
@@ -23,7 +23,7 @@ fn main() -> Result<()> {
 
     let t = Tensor::randn(0f32, 1f32, (2, 4, 96, 96), &device)?;
     let w = Tensor::randn(0f32, 1f32, (320, 4, 3, 3), &device)?;
-    let res = t.conv2d(&w, 1, 1, 1)?;
+    let res = t.conv2d(&w, 1, 1, 1, 1)?;
     println!("{res:?}");
     Ok(())
 }