From 6bb0b254fd0685386f4783169d68627ef90d4b04 Mon Sep 17 00:00:00 2001
From: Awni Hannun <awni@apple.com>
Date: Fri, 20 Jun 2025 13:01:27 -0700
Subject: [PATCH] format

---
 mlx/backend/cuda/matmul.cpp | 23 +++++++++++++++--------
 1 file changed, 15 insertions(+), 8 deletions(-)

diff --git a/mlx/backend/cuda/matmul.cpp b/mlx/backend/cuda/matmul.cpp
index 5b86961da..c32cecc03 100644
--- a/mlx/backend/cuda/matmul.cpp
+++ b/mlx/backend/cuda/matmul.cpp
@@ -162,14 +162,14 @@ class MatMul {
       }
     }
 
-    void *workspace_ptr = nullptr;
+    void* workspace_ptr = nullptr;
     if (heuristic_.workspaceSize > 0) {
-        array workspace(
-            allocator::malloc(heuristic_.workspaceSize),
-            {static_cast<int>(heuristic_.workspaceSize)},
-            int8);
-        encoder.add_temporary(workspace);
-        workspace_ptr = workspace.data<void>();
+      array workspace(
+          allocator::malloc(heuristic_.workspaceSize),
+          {static_cast<int>(heuristic_.workspaceSize)},
+          int8);
+      encoder.add_temporary(workspace);
+      workspace_ptr = workspace.data<void>();
     }
 
     encoder.launch_kernel([&](cudaStream_t stream) {
@@ -464,7 +464,14 @@ void AddMM::eval_gpu(const std::vector<array>& inputs, array& out) {
 
   auto nbatch = batch_count / batch_shape.back();
   if (nbatch == 1) {
-    matmul.run(encoder, out.data<int8_t>(), a.data<int8_t>(), b.data<int8_t>(), c.data<int8_t>(), alpha_, beta_);
+    matmul.run(
+        encoder,
+        out.data<int8_t>(),
+        a.data<int8_t>(),
+        b.data<int8_t>(),
+        c.data<int8_t>(),
+        alpha_,
+        beta_);
     return;
   }