rtx-cfd legacy GPU tests: the current CudaKernelManager API (Arc-held manager, allocate-on-copy, copy_from_device returning the host vector), MatrixOpsKernel::tridiagonal_matvec added over the existing kernel, PoissonKernel::solve_jacobi_2d kept as the older name; CfdConfig literals take ..Default

crates/specialized/rtx-cfd/tests/gpu_kernel_tests.rs

@@ -25,20 +25,21 @@ mod cuda_tests {
             viscosity: 0.01,
             density: 1.0,
             device_id: 0,
+        ..CfdConfig::default()
         }
     }
 
     #[test]
     fn test_cuda_kernel_manager_creation() -> CfdResult<()> {
         let config = create_test_config();
-        let _manager = CudaKernelManager::new(&config)?;
+        let _manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
         Ok(())
     }
 
     #[test]
     fn test_memory_operations() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
 
         // Test allocation
         let size = 1000;
@@ -63,7 +64,7 @@ mod cuda_tests {
     #[test]
     fn test_advection_kernel_1d() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
         let kernel = AdvectionKernel::new(&manager, AdvectionScheme::Upwind)?;
 
         let n = 100;
@@ -99,7 +100,7 @@ mod cuda_tests {
     #[test]
     fn test_advection_kernel_2d() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
         let kernel = AdvectionKernel::new(&manager, AdvectionScheme::Upwind)?;
 
         let nx = 32;
@@ -147,7 +148,7 @@ mod cuda_tests {
     #[test]
     fn test_diffusion_kernel_explicit() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
         let kernel = DiffusionKernel::new(&manager, DiffusionScheme::Explicit)?;
 
         let n = 100;
@@ -182,7 +183,7 @@ mod cuda_tests {
     #[test]
     fn test_diffusion_kernel_2d() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
         let kernel = DiffusionKernel::new(&manager, DiffusionScheme::Explicit)?;
 
         let nx = 32;
@@ -225,7 +226,7 @@ mod cuda_tests {
     #[test]
     fn test_poisson_kernel_jacobi() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
         let kernel = PoissonKernel::new(&manager)?;
 
         let nx = 32;
@@ -267,7 +268,7 @@ mod cuda_tests {
     #[test]
     fn test_matrix_ops_tridiagonal() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
         let kernel = MatrixOpsKernel::new(&manager)?;
 
         let n = 100;
@@ -303,7 +304,7 @@ mod cuda_tests {
     #[test]
     fn test_matrix_ops_dot_product() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
         let kernel = MatrixOpsKernel::new(&manager)?;
 
         let n = 1000;
@@ -325,7 +326,7 @@ mod cuda_tests {
     #[test]
     fn test_matrix_ops_vector_norm() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
         let kernel = MatrixOpsKernel::new(&manager)?;
 
         let n = 100;
@@ -345,7 +346,7 @@ mod cuda_tests {
     #[test]
     fn test_matrix_ops_axpy() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
         let kernel = MatrixOpsKernel::new(&manager)?;
 
         let n = 100;
@@ -372,7 +373,7 @@ mod cuda_tests {
     #[test]
     fn test_performance_comparison() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
 
         let n = 10000;
         let host_data: Vec<f32> = (0..n).map(|i| i as f32 * 0.1).collect();
@@ -394,7 +395,7 @@ mod cuda_tests {
     #[test]
     fn test_kernel_error_handling() -> CfdResult<()> {
         let config = create_test_config();
-        let manager = CudaKernelManager::new(&config)?;
+        let manager = std::sync::Arc::new(CudaKernelManager::new(&config)?);
 
         // Test with mismatched array sizes (should not crash)
         let small_array = manager.allocate_f32(10)?;
@@ -434,6 +435,7 @@ mod cpu_fallback_tests {
             reference_length: 1.0,
             reference_velocity: 1.0,
             use_gpu: true,
+            ..CfdConfig::default()
         };
 
         let result = CudaKernelManager::new(&config);