8 files changed, 32 insertions, 8 deletions
diff --git a/candle-examples/examples/musicgen/encodec_model.rs b/candle-examples/examples/musicgen/encodec_model.rs
index 9c966497..e7712bf3 100644
--- a/candle-examples/examples/musicgen/encodec_model.rs
+++ b/candle-examples/examples/musicgen/encodec_model.rs
@@ -274,14 +274,22 @@ impl EncodecConv1d {
                 in_c,
                 out_c,
                 kernel_size,
-                Conv1dConfig { padding: 0, stride },
+                Conv1dConfig {
+                    padding: 0,
+                    stride,
+                    groups: 1,
+                },
                 vb.pp("conv"),
             )?,
             NormType::None => conv1d(
                 in_c,
                 out_c,
                 kernel_size,
-                Conv1dConfig { padding: 0, stride },
+                Conv1dConfig {
+                    padding: 0,
+                    stride,
+                    groups: 1,
+                },
                 vb.pp("conv"),
             )?,
         };
diff --git a/candle-examples/examples/stable-diffusion/resnet.rs b/candle-examples/examples/stable-diffusion/resnet.rs
index 94f436c8..172a9359 100644
--- a/candle-examples/examples/stable-diffusion/resnet.rs
+++ b/candle-examples/examples/stable-diffusion/resnet.rs
@@ -66,6 +66,7 @@ impl ResnetBlock2D {
         let conv_cfg = nn::Conv2dConfig {
             stride: 1,
             padding: 1,
+            groups: 1,
         };
         let norm1 = nn::group_norm(config.groups, in_channels, config.eps, vs.pp("norm1"))?;
         let conv1 = conv2d(in_channels, out_channels, 3, conv_cfg, vs.pp("conv1"))?;
@@ -79,6 +80,7 @@ impl ResnetBlock2D {
             let conv_cfg = nn::Conv2dConfig {
                 stride: 1,
                 padding: 0,
+                groups: 1,
             };
             Some(conv2d(
                 in_channels,
diff --git a/candle-examples/examples/stable-diffusion/unet_2d.rs b/candle-examples/examples/stable-diffusion/unet_2d.rs
index 6f568113..eb2dbf10 100644
--- a/candle-examples/examples/stable-diffusion/unet_2d.rs
+++ b/candle-examples/examples/stable-diffusion/unet_2d.rs
@@ -112,8 +112,8 @@ impl UNet2DConditionModel {
         let bl_attention_head_dim = config.blocks.last().unwrap().attention_head_dim;
         let time_embed_dim = b_channels * 4;
         let conv_cfg = nn::Conv2dConfig {
-            stride: 1,
             padding: 1,
+            ..Default::default()
         };
         let conv_in = conv2d(in_channels, b_channels, 3, conv_cfg, vs.pp("conv_in"))?;
 
diff --git a/candle-examples/examples/stable-diffusion/unet_2d_blocks.rs b/candle-examples/examples/stable-diffusion/unet_2d_blocks.rs
index b7adb2c0..65341e74 100644
--- a/candle-examples/examples/stable-diffusion/unet_2d_blocks.rs
+++ b/candle-examples/examples/stable-diffusion/unet_2d_blocks.rs
@@ -24,7 +24,11 @@ impl Downsample2D {
         padding: usize,
     ) -> Result<Self> {
         let conv = if use_conv {
-            let config = nn::Conv2dConfig { stride: 2, padding };
+            let config = nn::Conv2dConfig {
+                stride: 2,
+                padding,
+                ..Default::default()
+            };
             let conv = conv2d(in_channels, out_channels, 3, config, vs.pp("conv"))?;
             Some(conv)
         } else {
diff --git a/candle-examples/examples/stable-diffusion/vae.rs b/candle-examples/examples/stable-diffusion/vae.rs
index abba39fa..aa8e13a0 100644
--- a/candle-examples/examples/stable-diffusion/vae.rs
+++ b/candle-examples/examples/stable-diffusion/vae.rs
@@ -51,8 +51,8 @@ impl Encoder {
         config: EncoderConfig,
     ) -> Result<Self> {
         let conv_cfg = nn::Conv2dConfig {
-            stride: 1,
             padding: 1,
+            ..Default::default()
         };
         let conv_in = nn::conv2d(
             in_channels,
@@ -182,8 +182,8 @@ impl Decoder {
         let n_block_out_channels = config.block_out_channels.len();
         let last_block_out_channels = *config.block_out_channels.last().unwrap();
         let conv_cfg = nn::Conv2dConfig {
-            stride: 1,
             padding: 1,
+            ..Default::default()
         };
         let conv_in = nn::conv2d(
             in_channels,
diff --git a/candle-examples/examples/whisper/model.rs b/candle-examples/examples/whisper/model.rs
index 553bd93b..4ccc79f7 100644
--- a/candle-examples/examples/whisper/model.rs
+++ b/candle-examples/examples/whisper/model.rs
@@ -308,10 +308,12 @@ impl AudioEncoder {
         let cfg1 = Conv1dConfig {
             padding: 1,
             stride: 1,
+            groups: 1,
         };
         let cfg2 = Conv1dConfig {
             padding: 1,
             stride: 2,
+            groups: 1,
         };
         let conv1 = conv1d(cfg.num_mel_bins, n_state, 3, cfg1, vb.pp("conv1"))?;
         let conv2 = conv1d(n_state, n_state, 3, cfg2, vb.pp("conv2"))?;
diff --git a/candle-examples/examples/yolo-v3/darknet.rs b/candle-examples/examples/yolo-v3/darknet.rs
index d0392308..de8fcf09 100644
--- a/candle-examples/examples/yolo-v3/darknet.rs
+++ b/candle-examples/examples/yolo-v3/darknet.rs
@@ -128,7 +128,11 @@ fn conv(vb: VarBuilder, index: usize, p: usize, b: &Block) -> Result<(usize, Bl)
         }
         Some(_) | None => (None, true),
     };
-    let conv_cfg = candle_nn::Conv2dConfig { stride, padding };
+    let conv_cfg = candle_nn::Conv2dConfig {
+        stride,
+        padding,
+        groups: 1,
+    };
     let conv = if bias {
         conv2d(p, filters, size, conv_cfg, vb.pp(&format!("conv_{index}")))?
     } else {
diff --git a/candle-examples/examples/yolo-v8/main.rs b/candle-examples/examples/yolo-v8/main.rs
index 616e04ed..3b9c1ce9 100644
--- a/candle-examples/examples/yolo-v8/main.rs
+++ b/candle-examples/examples/yolo-v8/main.rs
@@ -101,7 +101,11 @@ impl ConvBlock {
         padding: Option<usize>,
     ) -> Result<Self> {
         let padding = padding.unwrap_or(k / 2);
-        let cfg = Conv2dConfig { padding, stride };
+        let cfg = Conv2dConfig {
+            padding,
+            stride,
+            groups: 1,
+        };
         let conv = conv2d_no_bias(c1, c2, k, cfg, vb.pp("conv"))?;
         let bn = batch_norm(c2, 1e-3, vb.pp("bn"))?;
         Ok(Self { conv, bn })