Update clang-tools to ab/5054679
Test: create_reference_dumps.py # (with clang-headers)
Change-Id: I1e0b198f6d6ba6378252447913cfb2c9c7f20177
diff --git a/darwin-x86/clang-headers/__clang_cuda_intrinsics.h b/darwin-x86/clang-headers/__clang_cuda_intrinsics.h
new file mode 100644
index 0000000..3df41fa
--- /dev/null
+++ b/darwin-x86/clang-headers/__clang_cuda_intrinsics.h
@@ -0,0 +1,322 @@
+/*===--- __clang_cuda_intrinsics.h - Device-side CUDA intrinsic wrappers ---===
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+ * THE SOFTWARE.
+ *
+ *===-----------------------------------------------------------------------===
+ */
+#ifndef __CLANG_CUDA_INTRINSICS_H__
+#define __CLANG_CUDA_INTRINSICS_H__
+#ifndef __CUDA__
+#error "This file is for CUDA compilation only."
+#endif
+
+// sm_30 intrinsics: __shfl_{up,down,xor}.
+
+#define __SM_30_INTRINSICS_H__
+#define __SM_30_INTRINSICS_HPP__
+
+#if !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 300
+
+#pragma push_macro("__MAKE_SHUFFLES")
+#define __MAKE_SHUFFLES(__FnName, __IntIntrinsic, __FloatIntrinsic, __Mask) \
+ inline __device__ int __FnName(int __in, int __offset, \
+ int __width = warpSize) { \
+ return __IntIntrinsic(__in, __offset, \
+ ((warpSize - __width) << 8) | (__Mask)); \
+ } \
+ inline __device__ float __FnName(float __in, int __offset, \
+ int __width = warpSize) { \
+ return __FloatIntrinsic(__in, __offset, \
+ ((warpSize - __width) << 8) | (__Mask)); \
+ } \
+ inline __device__ unsigned int __FnName(unsigned int __in, int __offset, \
+ int __width = warpSize) { \
+ return static_cast<unsigned int>( \
+ ::__FnName(static_cast<int>(__in), __offset, __width)); \
+ } \
+ inline __device__ long long __FnName(long long __in, int __offset, \
+ int __width = warpSize) { \
+ struct __Bits { \
+ int __a, __b; \
+ }; \
+ _Static_assert(sizeof(__in) == sizeof(__Bits)); \
+ _Static_assert(sizeof(__Bits) == 2 * sizeof(int)); \
+ __Bits __tmp; \
+ memcpy(&__in, &__tmp, sizeof(__in)); \
+ __tmp.__a = ::__FnName(__tmp.__a, __offset, __width); \
+ __tmp.__b = ::__FnName(__tmp.__b, __offset, __width); \
+ long long __out; \
+ memcpy(&__out, &__tmp, sizeof(__tmp)); \
+ return __out; \
+ } \
+ inline __device__ unsigned long long __FnName( \
+ unsigned long long __in, int __offset, int __width = warpSize) { \
+ return static_cast<unsigned long long>( \
+ ::__FnName(static_cast<unsigned long long>(__in), __offset, __width)); \
+ } \
+ inline __device__ double __FnName(double __in, int __offset, \
+ int __width = warpSize) { \
+ long long __tmp; \
+ _Static_assert(sizeof(__tmp) == sizeof(__in)); \
+ memcpy(&__tmp, &__in, sizeof(__in)); \
+ __tmp = ::__FnName(__tmp, __offset, __width); \
+ double __out; \
+ memcpy(&__out, &__tmp, sizeof(__out)); \
+ return __out; \
+ }
+
+__MAKE_SHUFFLES(__shfl, __nvvm_shfl_idx_i32, __nvvm_shfl_idx_f32, 0x1f);
+// We use 0 rather than 31 as our mask, because shfl.up applies to lanes >=
+// maxLane.
+__MAKE_SHUFFLES(__shfl_up, __nvvm_shfl_up_i32, __nvvm_shfl_up_f32, 0);
+__MAKE_SHUFFLES(__shfl_down, __nvvm_shfl_down_i32, __nvvm_shfl_down_f32, 0x1f);
+__MAKE_SHUFFLES(__shfl_xor, __nvvm_shfl_bfly_i32, __nvvm_shfl_bfly_f32, 0x1f);
+
+#pragma pop_macro("__MAKE_SHUFFLES")
+
+#endif // !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 300
+
+// sm_32 intrinsics: __ldg and __funnelshift_{l,lc,r,rc}.
+
+// Prevent the vanilla sm_32 intrinsics header from being included.
+#define __SM_32_INTRINSICS_H__
+#define __SM_32_INTRINSICS_HPP__
+
+#if !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 320
+
+inline __device__ char __ldg(const char *ptr) { return __nvvm_ldg_c(ptr); }
+inline __device__ short __ldg(const short *ptr) { return __nvvm_ldg_s(ptr); }
+inline __device__ int __ldg(const int *ptr) { return __nvvm_ldg_i(ptr); }
+inline __device__ long __ldg(const long *ptr) { return __nvvm_ldg_l(ptr); }
+inline __device__ long long __ldg(const long long *ptr) {
+ return __nvvm_ldg_ll(ptr);
+}
+inline __device__ unsigned char __ldg(const unsigned char *ptr) {
+ return __nvvm_ldg_uc(ptr);
+}
+inline __device__ unsigned short __ldg(const unsigned short *ptr) {
+ return __nvvm_ldg_us(ptr);
+}
+inline __device__ unsigned int __ldg(const unsigned int *ptr) {
+ return __nvvm_ldg_ui(ptr);
+}
+inline __device__ unsigned long __ldg(const unsigned long *ptr) {
+ return __nvvm_ldg_ul(ptr);
+}
+inline __device__ unsigned long long __ldg(const unsigned long long *ptr) {
+ return __nvvm_ldg_ull(ptr);
+}
+inline __device__ float __ldg(const float *ptr) { return __nvvm_ldg_f(ptr); }
+inline __device__ double __ldg(const double *ptr) { return __nvvm_ldg_d(ptr); }
+
+inline __device__ char2 __ldg(const char2 *ptr) {
+ typedef char c2 __attribute__((ext_vector_type(2)));
+ // We can assume that ptr is aligned at least to char2's alignment, but the
+ // load will assume that ptr is aligned to char2's alignment. This is only
+ // safe if alignof(c2) <= alignof(char2).
+ c2 rv = __nvvm_ldg_c2(reinterpret_cast<const c2 *>(ptr));
+ char2 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ return ret;
+}
+inline __device__ char4 __ldg(const char4 *ptr) {
+ typedef char c4 __attribute__((ext_vector_type(4)));
+ c4 rv = __nvvm_ldg_c4(reinterpret_cast<const c4 *>(ptr));
+ char4 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ ret.z = rv[2];
+ ret.w = rv[3];
+ return ret;
+}
+inline __device__ short2 __ldg(const short2 *ptr) {
+ typedef short s2 __attribute__((ext_vector_type(2)));
+ s2 rv = __nvvm_ldg_s2(reinterpret_cast<const s2 *>(ptr));
+ short2 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ return ret;
+}
+inline __device__ short4 __ldg(const short4 *ptr) {
+ typedef short s4 __attribute__((ext_vector_type(4)));
+ s4 rv = __nvvm_ldg_s4(reinterpret_cast<const s4 *>(ptr));
+ short4 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ ret.z = rv[2];
+ ret.w = rv[3];
+ return ret;
+}
+inline __device__ int2 __ldg(const int2 *ptr) {
+ typedef int i2 __attribute__((ext_vector_type(2)));
+ i2 rv = __nvvm_ldg_i2(reinterpret_cast<const i2 *>(ptr));
+ int2 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ return ret;
+}
+inline __device__ int4 __ldg(const int4 *ptr) {
+ typedef int i4 __attribute__((ext_vector_type(4)));
+ i4 rv = __nvvm_ldg_i4(reinterpret_cast<const i4 *>(ptr));
+ int4 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ ret.z = rv[2];
+ ret.w = rv[3];
+ return ret;
+}
+inline __device__ longlong2 __ldg(const longlong2 *ptr) {
+ typedef long long ll2 __attribute__((ext_vector_type(2)));
+ ll2 rv = __nvvm_ldg_ll2(reinterpret_cast<const ll2 *>(ptr));
+ longlong2 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ return ret;
+}
+
+inline __device__ uchar2 __ldg(const uchar2 *ptr) {
+ typedef unsigned char uc2 __attribute__((ext_vector_type(2)));
+ uc2 rv = __nvvm_ldg_uc2(reinterpret_cast<const uc2 *>(ptr));
+ uchar2 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ return ret;
+}
+inline __device__ uchar4 __ldg(const uchar4 *ptr) {
+ typedef unsigned char uc4 __attribute__((ext_vector_type(4)));
+ uc4 rv = __nvvm_ldg_uc4(reinterpret_cast<const uc4 *>(ptr));
+ uchar4 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ ret.z = rv[2];
+ ret.w = rv[3];
+ return ret;
+}
+inline __device__ ushort2 __ldg(const ushort2 *ptr) {
+ typedef unsigned short us2 __attribute__((ext_vector_type(2)));
+ us2 rv = __nvvm_ldg_us2(reinterpret_cast<const us2 *>(ptr));
+ ushort2 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ return ret;
+}
+inline __device__ ushort4 __ldg(const ushort4 *ptr) {
+ typedef unsigned short us4 __attribute__((ext_vector_type(4)));
+ us4 rv = __nvvm_ldg_us4(reinterpret_cast<const us4 *>(ptr));
+ ushort4 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ ret.z = rv[2];
+ ret.w = rv[3];
+ return ret;
+}
+inline __device__ uint2 __ldg(const uint2 *ptr) {
+ typedef unsigned int ui2 __attribute__((ext_vector_type(2)));
+ ui2 rv = __nvvm_ldg_ui2(reinterpret_cast<const ui2 *>(ptr));
+ uint2 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ return ret;
+}
+inline __device__ uint4 __ldg(const uint4 *ptr) {
+ typedef unsigned int ui4 __attribute__((ext_vector_type(4)));
+ ui4 rv = __nvvm_ldg_ui4(reinterpret_cast<const ui4 *>(ptr));
+ uint4 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ ret.z = rv[2];
+ ret.w = rv[3];
+ return ret;
+}
+inline __device__ ulonglong2 __ldg(const ulonglong2 *ptr) {
+ typedef unsigned long long ull2 __attribute__((ext_vector_type(2)));
+ ull2 rv = __nvvm_ldg_ull2(reinterpret_cast<const ull2 *>(ptr));
+ ulonglong2 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ return ret;
+}
+
+inline __device__ float2 __ldg(const float2 *ptr) {
+ typedef float f2 __attribute__((ext_vector_type(2)));
+ f2 rv = __nvvm_ldg_f2(reinterpret_cast<const f2 *>(ptr));
+ float2 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ return ret;
+}
+inline __device__ float4 __ldg(const float4 *ptr) {
+ typedef float f4 __attribute__((ext_vector_type(4)));
+ f4 rv = __nvvm_ldg_f4(reinterpret_cast<const f4 *>(ptr));
+ float4 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ ret.z = rv[2];
+ ret.w = rv[3];
+ return ret;
+}
+inline __device__ double2 __ldg(const double2 *ptr) {
+ typedef double d2 __attribute__((ext_vector_type(2)));
+ d2 rv = __nvvm_ldg_d2(reinterpret_cast<const d2 *>(ptr));
+ double2 ret;
+ ret.x = rv[0];
+ ret.y = rv[1];
+ return ret;
+}
+
+// TODO: Implement these as intrinsics, so the backend can work its magic on
+// these. Alternatively, we could implement these as plain C and try to get
+// llvm to recognize the relevant patterns.
+inline __device__ unsigned __funnelshift_l(unsigned low32, unsigned high32,
+ unsigned shiftWidth) {
+ unsigned result;
+ asm("shf.l.wrap.b32 %0, %1, %2, %3;"
+ : "=r"(result)
+ : "r"(low32), "r"(high32), "r"(shiftWidth));
+ return result;
+}
+inline __device__ unsigned __funnelshift_lc(unsigned low32, unsigned high32,
+ unsigned shiftWidth) {
+ unsigned result;
+ asm("shf.l.clamp.b32 %0, %1, %2, %3;"
+ : "=r"(result)
+ : "r"(low32), "r"(high32), "r"(shiftWidth));
+ return result;
+}
+inline __device__ unsigned __funnelshift_r(unsigned low32, unsigned high32,
+ unsigned shiftWidth) {
+ unsigned result;
+ asm("shf.r.wrap.b32 %0, %1, %2, %3;"
+ : "=r"(result)
+ : "r"(low32), "r"(high32), "r"(shiftWidth));
+ return result;
+}
+inline __device__ unsigned __funnelshift_rc(unsigned low32, unsigned high32,
+ unsigned shiftWidth) {
+ unsigned ret;
+ asm("shf.r.clamp.b32 %0, %1, %2, %3;"
+ : "=r"(ret)
+ : "r"(low32), "r"(high32), "r"(shiftWidth));
+ return ret;
+}
+
+#endif // !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 320
+
+#endif // defined(__CLANG_CUDA_INTRINSICS_H__)