Args.getLastArgValue(options::OPT_cuda_path_EQ));
else {
CudaPathCandidates.push_back(D.SysRoot + "/usr/local/cuda");
- // FIXME: Uncomment this once we can compile the cuda 8 headers.
- // CudaPathCandidates.push_back(D.SysRoot + "/usr/local/cuda-8.0");
+ CudaPathCandidates.push_back(D.SysRoot + "/usr/local/cuda-8.0");
CudaPathCandidates.push_back(D.SysRoot + "/usr/local/cuda-7.5");
CudaPathCandidates.push_back(D.SysRoot + "/usr/local/cuda-7.0");
}
FS.exists(LibDevicePath)))
continue;
+ llvm::ErrorOr<std::unique_ptr<llvm::MemoryBuffer>> VersionFile =
+ FS.getBufferForFile(InstallPath + "/version.txt");
+ if (!VersionFile) {
+ // CUDA 7.0 doesn't have a version.txt, so guess that's our version if
+ // version.txt isn't present.
+ Version = CudaVersion::CUDA_70;
+ } else {
+ Version = ParseCudaVersionFile((*VersionFile)->getBuffer());
+ }
+
std::error_code EC;
for (llvm::sys::fs::directory_iterator LI(LibDevicePath, EC), LE;
!EC && LI != LE; LI = LI.increment(EC)) {
StringRef GpuArch = FileName.slice(
LibDeviceName.size(), FileName.find('.', LibDeviceName.size()));
LibDeviceMap[GpuArch] = FilePath.str();
- // Insert map entries for specifc devices with this compute capability.
- // NVCC's choice of libdevice library version is rather peculiar:
- // http://docs.nvidia.com/cuda/libdevice-users-guide/basic-usage.html#version-selection
- // TODO: this will need to be updated once CUDA-8 is released.
+ // Insert map entries for specifc devices with this compute
+ // capability. NVCC's choice of the libdevice library version is
+ // rather peculiar and depends on the CUDA version.
if (GpuArch == "compute_20") {
LibDeviceMap["sm_20"] = FilePath;
LibDeviceMap["sm_21"] = FilePath;
LibDeviceMap["sm_32"] = FilePath;
} else if (GpuArch == "compute_30") {
LibDeviceMap["sm_30"] = FilePath;
- // compute_30 is the fallback libdevice variant for sm_30+,
- // unless CUDA specifies different version for specific GPU
- // arch.
- LibDeviceMap["sm_50"] = FilePath;
- LibDeviceMap["sm_52"] = FilePath;
- LibDeviceMap["sm_53"] = FilePath;
- // sm_6? are currently all aliases for sm_53 in LLVM and
- // should use compute_30.
+ if (Version < CudaVersion::CUDA_80) {
+ LibDeviceMap["sm_50"] = FilePath;
+ LibDeviceMap["sm_52"] = FilePath;
+ LibDeviceMap["sm_53"] = FilePath;
+ }
LibDeviceMap["sm_60"] = FilePath;
LibDeviceMap["sm_61"] = FilePath;
LibDeviceMap["sm_62"] = FilePath;
LibDeviceMap["sm_35"] = FilePath;
LibDeviceMap["sm_37"] = FilePath;
} else if (GpuArch == "compute_50") {
- // NVCC does not use compute_50 libdevice at all at the moment.
- // The version that's shipped with CUDA-7.5 is a copy of compute_30.
+ if (Version >= CudaVersion::CUDA_80) {
+ LibDeviceMap["sm_50"] = FilePath;
+ LibDeviceMap["sm_52"] = FilePath;
+ LibDeviceMap["sm_53"] = FilePath;
+ }
}
}
- llvm::ErrorOr<std::unique_ptr<llvm::MemoryBuffer>> VersionFile =
- FS.getBufferForFile(InstallPath + "/version.txt");
- if (!VersionFile) {
- // CUDA 7.0 doesn't have a version.txt, so guess that's our version if
- // version.txt isn't present.
- Version = CudaVersion::CUDA_70;
- } else {
- Version = ParseCudaVersionFile((*VersionFile)->getBuffer());
- }
-
IsValid = true;
break;
}
#include "cuda.h"
#if !defined(CUDA_VERSION)
#error "cuda.h did not define CUDA_VERSION"
-#elif CUDA_VERSION < 7000 || CUDA_VERSION > 7050
+#elif CUDA_VERSION < 7000 || CUDA_VERSION > 8000
#error "Unsupported CUDA version!"
#endif
#undef __cxa_vec_ctor
#undef __cxa_vec_cctor
#undef __cxa_vec_dtor
+#undef __cxa_vec_new
#undef __cxa_vec_new2
#undef __cxa_vec_new3
#undef __cxa_vec_delete2
// the headers we're about to include.
#define __host__ UNEXPECTED_HOST_ATTRIBUTE
+// CUDA 8.0.41 relies on __USE_FAST_MATH__ and __CUDA_PREC_DIV's values.
+// Previous versions used to check whether they are defined or not.
+// CU_DEVICE_INVALID macro is only defined in 8.0.41, so we use it
+// here to detect the switch.
+
+#if defined(CU_DEVICE_INVALID)
+#if !defined(__USE_FAST_MATH__)
+#define __USE_FAST_MATH__ 0
+#endif
+
+#if !defined(__CUDA_PREC_DIV)
+#define __CUDA_PREC_DIV 0
+#endif
+#endif
+
// device_functions.hpp and math_functions*.hpp use 'static
// __forceinline__' (with no __device__) for definitions of device
// functions. Temporarily redefine __forceinline__ to include
// slow divides), so we need to scope our define carefully here.
#pragma push_macro("__USE_FAST_MATH__")
#if defined(__CLANG_CUDA_APPROX_TRANSCENDENTALS__)
-#define __USE_FAST_MATH__
+#define __USE_FAST_MATH__ 1
#endif
#include "math_functions.hpp"
#pragma pop_macro("__USE_FAST_MATH__")
// RUN: --cuda-path=%S/Inputs/CUDA_80/usr/local/cuda %s 2>&1 \
// RUN: | FileCheck %s -check-prefix COMMON \
// RUN: -check-prefix LIBDEVICE -check-prefix LIBDEVICE20
-// sm_30, sm_5x and sm_6x map to compute_30
+// sm_30, sm_6x map to compute_30.
// RUN: %clang -### -v --target=i386-unknown-linux --cuda-gpu-arch=sm_30 \
// RUN: --cuda-path=%S/Inputs/CUDA_80/usr/local/cuda %s 2>&1 \
// RUN: | FileCheck %s -check-prefix COMMON \
// RUN: -check-prefix LIBDEVICE -check-prefix LIBDEVICE30
+// sm_5x is a special case. Maps to compute_30 for cuda-7.x only.
// RUN: %clang -### -v --target=i386-unknown-linux --cuda-gpu-arch=sm_50 \
-// RUN: --cuda-path=%S/Inputs/CUDA_80/usr/local/cuda %s 2>&1 \
+// RUN: --cuda-path=%S/Inputs/CUDA/usr/local/cuda %s 2>&1 \
// RUN: | FileCheck %s -check-prefix COMMON \
// RUN: -check-prefix LIBDEVICE -check-prefix LIBDEVICE30
// RUN: %clang -### -v --target=i386-unknown-linux --cuda-gpu-arch=sm_60 \
// RUN: --cuda-path=%S/Inputs/CUDA_80/usr/local/cuda %s 2>&1 \
// RUN: | FileCheck %s -check-prefix COMMON -check-prefix CUDAINC \
// RUN: -check-prefix LIBDEVICE -check-prefix LIBDEVICE35
+// sm_5x -> compute_50 for CUDA-8.0 and newer.
+// RUN: %clang -### -v --target=i386-unknown-linux --cuda-gpu-arch=sm_50 \
+// RUN: --cuda-path=%S/Inputs/CUDA_80/usr/local/cuda %s 2>&1 \
+// RUN: | FileCheck %s -check-prefix COMMON \
+// RUN: -check-prefix LIBDEVICE -check-prefix LIBDEVICE50
+
// Verify that -nocudainc prevents adding include path to CUDA headers.
// RUN: %clang -### -v --target=i386-unknown-linux --cuda-gpu-arch=sm_35 \
// RUN: | FileCheck %s -check-prefix COMMON -check-prefix NOCUDAINC
// Verify that we get an error if there's no libdevice library to link with.
-// NOTE: Inputs/CUDA deliberately does *not* have libdevice.compute_30 for this purpose.
-// RUN: %clang -### -v --target=i386-unknown-linux --cuda-gpu-arch=sm_30 \
+// NOTE: Inputs/CUDA deliberately does *not* have libdevice.compute_20 for this purpose.
+// RUN: %clang -### -v --target=i386-unknown-linux --cuda-gpu-arch=sm_20 \
// RUN: --cuda-path=%S/Inputs/CUDA/usr/local/cuda %s 2>&1 \
// RUN: | FileCheck %s -check-prefix COMMON -check-prefix MISSINGLIBDEVICE
// CHECK: Found CUDA installation: {{.*}}/Inputs/CUDA/usr/local/cuda
// NOCUDA-NOT: Found CUDA installation:
-// MISSINGLIBDEVICE: error: cannot find libdevice for sm_30.
+// MISSINGLIBDEVICE: error: cannot find libdevice for sm_20.
// COMMON: "-triple" "nvptx-nvidia-cuda"
// COMMON-SAME: "-fcuda-is-device"
// LIBDEVICE20-SAME: libdevice.compute_20.10.bc
// LIBDEVICE30-SAME: libdevice.compute_30.10.bc
// LIBDEVICE35-SAME: libdevice.compute_35.10.bc
+// LIBDEVICE50-SAME: libdevice.compute_50.10.bc
// NOLIBDEVICE-NOT: libdevice.compute_{{.*}}.bc
// LIBDEVICE-SAME: "-target-feature" "+ptx42"
// NOLIBDEVICE-NOT: "-target-feature" "+ptx42"