start cuda circle config (#2256)

* rebase

* fix metal kernel linking issue on cuda

* start cuda circle config

python/src/array.cpp

@@ -17,10 +17,7 @@
 #include "python/src/indexing.h"
 #include "python/src/utils.h"
 
-#include "mlx/device.h"
-#include "mlx/ops.h"
-#include "mlx/transforms.h"
-#include "mlx/utils.h"
+#include "mlx/mlx.h"
 
 namespace mx = mlx::core;
 namespace nb = nanobind;
@@ -461,9 +458,12 @@ void init_array(nb::module_& m) {
       .def(
           "__dlpack_device__",
           [](const mx::array& a) {
+            // See
+            // https://github.com/dmlc/dlpack/blob/5c210da409e7f1e51ddf445134a4376fdbd70d7d/include/dlpack/dlpack.h#L74
             if (mx::metal::is_available()) {
-              // Metal device is available
               return nb::make_tuple(8, 0);
+            } else if (mx::cu::is_available()) {
+              return nb::make_tuple(13, 0);
             } else {
               // CPU device
               return nb::make_tuple(1, 0);

python/src/device.cpp

@@ -58,4 +58,9 @@ void init_device(nb::module_& m) {
       &mx::set_default_device,
       "device"_a,
       R"pbdoc(Set the default device.)pbdoc");
+  m.def(
+      "is_available",
+      &mx::is_available,
+      "device"_a,
+      R"pbdoc(Check if a back-end is available for the given device.)pbdoc");
 }

python/tests/test_array.py

@@ -198,7 +198,7 @@ class TestInequality(mlx_tests.MLXTestCase):
     def test_dlx_device_type(self):
         a = mx.array([1, 2, 3])
         device_type, device_id = a.__dlpack_device__()
-        self.assertIn(device_type, [1, 8])
+        self.assertIn(device_type, [1, 8, 13])
         self.assertEqual(device_id, 0)
 
         if device_type == 8:

python/tests/test_device.py

@@ -10,7 +10,7 @@ import mlx_tests
 class TestDefaultDevice(unittest.TestCase):
     def test_mlx_default_device(self):
         device = mx.default_device()
-        if mx.metal.is_available():
+        if mx.is_available(mx.gpu):
             self.assertEqual(device, mx.Device(mx.gpu))
             self.assertEqual(str(device), "Device(gpu, 0)")
             self.assertEqual(device, mx.gpu)
@@ -73,7 +73,7 @@ class TestStream(mlx_tests.MLXTestCase):
         self.assertEqual(s2.device, mx.default_device())
         self.assertNotEqual(s1, s2)
 
-        if mx.metal.is_available():
+        if mx.is_available(mx.gpu):
             s_gpu = mx.default_stream(mx.gpu)
             self.assertEqual(s_gpu.device, mx.gpu)
         else:
@@ -86,7 +86,7 @@ class TestStream(mlx_tests.MLXTestCase):
         s_cpu = mx.new_stream(mx.cpu)
         self.assertEqual(s_cpu.device, mx.cpu)
 
-        if mx.metal.is_available():
+        if mx.is_available(mx.gpu):
             s_gpu = mx.new_stream(mx.gpu)
             self.assertEqual(s_gpu.device, mx.gpu)
         else:
@@ -99,7 +99,7 @@ class TestStream(mlx_tests.MLXTestCase):
 
         a = mx.add(x, y, stream=mx.default_stream(mx.default_device()))
 
-        if mx.metal.is_available():
+        if mx.is_available(mx.gpu):
             b = mx.add(x, y, stream=mx.default_stream(mx.gpu))
             self.assertEqual(a.item(), b.item())
             s_gpu = mx.new_stream(mx.gpu)

python/tests/test_optimizers.py

@@ -353,7 +353,7 @@ class TestOptimizers(mlx_tests.MLXTestCase):
         self.assertTrue(mx.allclose(result["w"], mx.full((5, 5), 3.0)))
 
 
-class TestSchedulers(unittest.TestCase):
+class TestSchedulers(mlx_tests.MLXTestCase):
     def test_decay_lr(self):
         for optim_class in optimizers_dict.values():
             lr_schedule = opt.step_decay(1e-1, 0.9, 1)