feat: update workspace paths and enhance gitignore

- Updated stablediffusion crate path from "../stable-diffusion-burn" to "./crates/stable-diffusion-burn" for proper workspace resolution
- Enhanced .gitignore to include generated model files (.mpk, .pt, .bin, .safetensors, .ckpt) and user_data directory
- Added Cargo.lock to gitignore with appropriate comment
- Reorganized IDE files section in gitignore for better clarity
- Added newline at end of file for proper formatting

crates/stable-diffusion-burn/burn-crates/burn-backend-tests/tests/cubecl/reduce.rs

@@ -0,0 +1,135 @@
+use super::*;
+use burn_tensor::Tolerance;
+use burn_tensor::{Distribution, Tensor};
+
+const RANK: usize = 4;
+const SHAPE: [usize; RANK] = [2, 4, 8, 16];
+
+#[test]
+fn reduction_argmax_should_match_reference_backend() {
+    let tensor =
+        Tensor::<TestBackend, RANK>::random(SHAPE, Distribution::Default, &Default::default());
+    let tensor_ref =
+        Tensor::<ReferenceBackend, RANK>::from_data(tensor.to_data(), &Default::default());
+    for dim in 0..RANK {
+        tensor
+            .clone()
+            .argmax(dim)
+            .into_data()
+            .assert_eq(&tensor_ref.clone().argmax(dim).into_data(), false);
+    }
+}
+
+#[test]
+fn reduction_argmin_should_match_reference_backend() {
+    let tensor =
+        Tensor::<TestBackend, RANK>::random(SHAPE, Distribution::Default, &Default::default());
+    let tensor_ref =
+        Tensor::<ReferenceBackend, RANK>::from_data(tensor.to_data(), &Default::default());
+    for dim in 0..RANK {
+        tensor
+            .clone()
+            .argmin(dim)
+            .into_data()
+            .assert_eq(&tensor_ref.clone().argmin(dim).into_data(), false);
+    }
+}
+
+#[test]
+fn reduction_mean_dim_should_match_reference_backend() {
+    let tensor =
+        Tensor::<TestBackend, RANK>::random(SHAPE, Distribution::Default, &Default::default());
+    let tensor_ref =
+        Tensor::<ReferenceBackend, RANK>::from_data(tensor.to_data(), &Default::default());
+    for dim in 0..RANK {
+        tensor
+            .clone()
+            .mean_dim(dim)
+            .into_data()
+            .assert_approx_eq::<FloatElem>(
+                &tensor_ref.clone().mean_dim(dim).into_data(),
+                Tolerance::default(),
+            );
+    }
+}
+
+#[test]
+fn reduction_mean_should_match_reference_backend() {
+    let tensor =
+        Tensor::<TestBackend, RANK>::random(SHAPE, Distribution::Default, &Default::default());
+    let tensor_ref =
+        Tensor::<ReferenceBackend, RANK>::from_data(tensor.to_data(), &Default::default());
+    tensor
+        .clone()
+        .mean()
+        .into_data()
+        .assert_approx_eq::<FloatElem>(
+            &tensor_ref.clone().mean().into_data(),
+            Tolerance::default(),
+        );
+}
+
+#[test]
+fn reduction_prod_dim_should_match_reference_backend() {
+    let tensor =
+        Tensor::<TestBackend, RANK>::random(SHAPE, Distribution::Default, &Default::default());
+    let tensor_ref =
+        Tensor::<ReferenceBackend, RANK>::from_data(tensor.to_data(), &Default::default());
+    for dim in 0..RANK {
+        tensor
+            .clone()
+            .prod_dim(dim)
+            .into_data()
+            .assert_approx_eq::<FloatElem>(
+                &tensor_ref.clone().prod_dim(dim).into_data(),
+                Tolerance::default(),
+            );
+    }
+}
+
+#[test]
+fn reduction_prod_should_match_reference_backend() {
+    let tensor =
+        Tensor::<TestBackend, RANK>::random(SHAPE, Distribution::Default, &Default::default());
+    let tensor_ref =
+        Tensor::<ReferenceBackend, RANK>::from_data(tensor.to_data(), &Default::default());
+    tensor
+        .clone()
+        .prod()
+        .into_data()
+        .assert_approx_eq::<FloatElem>(
+            &tensor_ref.clone().prod().into_data(),
+            Tolerance::default(),
+        );
+}
+
+#[test]
+fn reduction_sum_dim_should_match_reference_backend() {
+    let tensor =
+        Tensor::<TestBackend, RANK>::random(SHAPE, Distribution::Default, &Default::default());
+    let tensor_ref =
+        Tensor::<ReferenceBackend, RANK>::from_data(tensor.to_data(), &Default::default());
+    for dim in 0..RANK {
+        tensor
+            .clone()
+            .sum_dim(dim)
+            .into_data()
+            .assert_approx_eq::<FloatElem>(
+                &tensor_ref.clone().sum_dim(dim).into_data(),
+                Tolerance::default(),
+            );
+    }
+}
+
+#[test]
+fn reduction_sum_should_match_reference_backend() {
+    let tensor =
+        Tensor::<TestBackend, RANK>::random(SHAPE, Distribution::Default, &Default::default());
+    let tensor_ref =
+        Tensor::<ReferenceBackend, RANK>::from_data(tensor.to_data(), &Default::default());
+    tensor
+        .clone()
+        .sum()
+        .into_data()
+        .assert_approx_eq::<FloatElem>(&tensor_ref.clone().sum().into_data(), Tolerance::default());
+}