[SE] Platforms return Device values

Summary:
Platforms were returning Device pointers, but a Device is now basically
just a pointer to an underlying PlatformDevice, so we will now just pass
it around as a value.

Reviewers: jlebar

Subscribers: jprice, jlebar, parallel_libs-commits

Differential Revision: https://reviews.llvm.org/D24537

llvm-svn: 281422

1 files changed, 7 insertions, 7 deletions

diff --git a/parallel-libs/streamexecutor/examples/HostSaxpy.cpp b/parallel-libs/streamexecutor/examples/HostSaxpy.cpp
index 525c4453b01..5bcbcc898ce 100644
--- a/parallel-libs/streamexecutor/examples/HostSaxpy.cpp
+++ b/parallel-libs/streamexecutor/examples/HostSaxpy.cpp
@@ -62,25 +62,25 @@ int main() {
   if (Platform->getDeviceCount() == 0) {
     return EXIT_FAILURE;
   }
-  se::Device *Device = getOrDie(Platform->getDevice(0));
+  se::Device Device = getOrDie(Platform->getDevice(0));
 
   // Load the kernel onto the device.
   cg::SaxpyKernel Kernel =
-      getOrDie(Device->createKernel<cg::SaxpyKernel>(cg::SaxpyLoaderSpec));
+      getOrDie(Device.createKernel<cg::SaxpyKernel>(cg::SaxpyLoaderSpec));
 
   se::RegisteredHostMemory<float> RegisteredX =
-      getOrDie(Device->registerHostMemory<float>(HostX));
+      getOrDie(Device.registerHostMemory<float>(HostX));
   se::RegisteredHostMemory<float> RegisteredY =
-      getOrDie(Device->registerHostMemory<float>(HostY));
+      getOrDie(Device.registerHostMemory<float>(HostY));
 
   // Allocate memory on the device.
   se::GlobalDeviceMemory<float> X =
-      getOrDie(Device->allocateDeviceMemory<float>(ArraySize));
+      getOrDie(Device.allocateDeviceMemory<float>(ArraySize));
   se::GlobalDeviceMemory<float> Y =
-      getOrDie(Device->allocateDeviceMemory<float>(ArraySize));
+      getOrDie(Device.allocateDeviceMemory<float>(ArraySize));
 
   // Run operations on a stream.
-  se::Stream Stream = getOrDie(Device->createStream());
+  se::Stream Stream = getOrDie(Device.createStream());
   Stream.thenCopyH2D(RegisteredX, X)
       .thenCopyH2D(RegisteredY, Y)
       .thenLaunch(1, 1, Kernel, A, X, Y, ArraySize)