Check CU_DEVICE_ATTRIBUTE_GPU_DIRECT_RDMA_SUPPORTED

.github/workflows/test-paddle.yaml

@@ -48,7 +48,8 @@ jobs:
           fi
           pip install torch==${torch_ver} --index-url https://download.pytorch.org/whl/cpu # transformers requires torch
           pip install paddlepaddle==3.0.0
-          pip install pytest pytest-cov setuptools_scm safetensors transformers==${tf_ver} numpy==${npy_ver}
+          # TOFIX: safetensors version (0.7.0 had a bug around fp8 in Dec 5 2025)
+          pip install pytest pytest-cov setuptools_scm safetensors==0.6.2 transformers==${tf_ver} numpy==${npy_ver}
       - name: Build Package
         run: |
           pip install .

fastsafetensors/copier/gds.py

@@ -172,12 +172,24 @@ def new_gds_file_copier(
         raise Exception(
             "[FAIL] GPU runtime library (libcudart.so or libamdhip64.so) does not exist"
         )
-    if not fstcpp.is_cufile_found() and not nogds:
-        warnings.warn(
-            "libcufile.so does not exist but nogds is False. use nogds=True",
-            UserWarning,
+    if device_is_not_cpu and not nogds:
+        gds_supported = fstcpp.is_gds_supported(
+            device.index if device.index is not None else 0
         )
-        nogds = True
+        if gds_supported < 0:
+            raise Exception(f"is_gds_supported({device.index}) failed")
+        if not fstcpp.is_cufile_found():
+            warnings.warn(
+                "libcufile.so does not exist but nogds is False. use nogds=True",
+                UserWarning,
+            )
+            nogds = True
+        elif gds_supported == 0:
+            warnings.warn(
+                "GDS is not supported in this platform but nogds is False. use nogds=True",
+                UserWarning,
+            )
+            nogds = True
 
     if nogds:
         nogds_reader = fstcpp.nogds_file_reader(

fastsafetensors/cpp.pyi

@@ -46,6 +46,7 @@ def is_cufile_found() -> bool: ...
 def cufile_version() -> int: ...
 def get_alignment_size() -> int: ...
 def set_debug_log(debug_log: bool) -> None: ...
+def is_gds_supported(deviceId: int) -> int: ...
 def init_gds() -> int: ...
 def close_gds() -> int: ...
 def get_device_pci_bus(deviceId: int) -> str: ...

fastsafetensors/cpp/ext.cpp

@@ -148,7 +148,13 @@ static void load_nvidia_functions() {
             mydlsym(&cuda_fns.cudaDeviceGetPCIBusId, handle_cudart, "cudaDeviceGetPCIBusId");
             mydlsym(&cuda_fns.cudaDeviceMalloc, handle_cudart, "cudaMalloc");
             mydlsym(&cuda_fns.cudaDeviceFree, handle_cudart, "cudaFree");
-            bool success = cuda_fns.cudaMemcpy && cuda_fns.cudaDeviceSynchronize && cuda_fns.cudaHostAlloc && cuda_fns.cudaFreeHost && cuda_fns.cudaDeviceGetPCIBusId && cuda_fns.cudaDeviceMalloc && cuda_fns.cudaDeviceFree;
+            mydlsym(&cuda_fns.cudaDriverGetVersion, handle_cudart, "cudaDriverGetVersion");
+            mydlsym(&cuda_fns.cudaDeviceGetAttribute, handle_cudart, "cudaDeviceGetAttribute");
+            bool success = cuda_fns.cudaMemcpy && cuda_fns.cudaDeviceSynchronize;
+            success = success && cuda_fns.cudaHostAlloc && cuda_fns.cudaFreeHost;
+            success = success && cuda_fns.cudaDeviceGetPCIBusId && cuda_fns.cudaDeviceMalloc;
+            success = success && cuda_fns.cudaDeviceFree && cuda_fns.cudaDriverGetVersion;
+            success = success && cuda_fns.cudaDeviceGetAttribute;
             if (!success) {
                 cuda_found = false;
                 if (init_log) {
@@ -159,6 +165,8 @@ static void load_nvidia_functions() {
             }
         }
         dlclose(handle_cudart);
+    } else if (init_log) {
+        fprintf(stderr, "[DEBUG] %s is not installed. fallback\n", cudartLib);
     }
     if (!cuda_found) {
         cuda_fns.cudaMemcpy = cpu_cudaMemcpy;
@@ -291,6 +299,32 @@ void init_gil_release_from_env() {
     }
 }
 
+int is_gds_supported(int deviceId)
+{
+#ifndef USE_ROCM
+    int gdr_support = 1;
+    int driverVersion = 0;
+    cudaError_t err;
+
+    err = cuda_fns.cudaDriverGetVersion(&driverVersion);
+    if (err != cudaSuccess) {
+        std::fprintf(stderr, "is_gds_supported: cudaDriverGetVersion failed, deviceId=%d, err=%d\n", deviceId, err);
+        return -1;
+    }
+
+    if (driverVersion > 11030) {
+        err = cuda_fns.cudaDeviceGetAttribute(&gdr_support, cudaDevAttrGPUDirectRDMASupported, deviceId);
+        if (err != cudaSuccess) {
+            std::fprintf(stderr, "is_gds_supported: cudaDeviceGetAttribute failed, deviceId=%d, err=%d\n", deviceId, err);
+            return -1;
+        }
+    }
+    return gdr_support;
+#endif
+    // ROCm does not have GDS
+    return 0;
+}
+
 int init_gds()
 {
     CUfileError_t err;
@@ -787,6 +821,7 @@ PYBIND11_MODULE(__MOD_NAME__, m)
     m.def("cufile_version", &cufile_version);
     m.def("set_debug_log", &set_debug_log);
     m.def("get_alignment_size", &get_alignment_size);
+    m.def("is_gds_supported", &is_gds_supported);
     m.def("init_gds", &init_gds);
     m.def("close_gds", &close_gds);
     m.def("get_device_pci_bus", &get_device_pci_bus);

fastsafetensors/cpp/ext.hpp

@@ -39,6 +39,7 @@ typedef struct CUfileError { CUfileOpError err; } CUfileError_t;
 // Define minimal CUDA/HIP types for both platforms to avoid compile-time dependencies
 // We load all GPU functions dynamically at runtime via dlopen()
 typedef enum cudaError { cudaSuccess = 0, cudaErrorMemoryAllocation = 2 } cudaError_t;
+enum cudaDeviceAttr {cudaDevAttrGPUDirectRDMASupported = 116};
 // Platform-specific enum values - CUDA and HIP have different values for HostToDevice
 #ifdef USE_ROCM
 enum cudaMemcpyKind { cudaMemcpyHostToDevice=1, cudaMemcpyDefault = 4 };
@@ -212,6 +213,8 @@ typedef struct ext_funcs {
     cudaError_t (*cudaDeviceMalloc)(void **, size_t);
     cudaError_t (*cudaDeviceFree)(void *);
     int (*numa_run_on_node)(int);
+    cudaError_t (*cudaDriverGetVersion)(int *);
+    cudaError_t (*cudaDeviceGetAttribute)(int *, enum cudaDeviceAttr, int);
 } ext_funcs_t;
 
 typedef struct cpp_metrics {