I tried to include in my kernel string like: "#include <cuda_fp16.h>" or make a header named "JITFP16.cuh" and pass into jitify::Program::program() functions. can't work. so how can i include these standard header like cuda_fp16.h ??? Pl...
#include "third_party/gpus/cuda/include/cuda_fp16.h" 替换成 #include "cuda_fp16.h" 然后,再编辑 "tensorflow/include/tensorflow/core/util/gpu_device_functions.h",把 #include "third_party/gpus/cuda/include/cuComplex.h" #include "third_party/gpus/cuda/include/cuda.h" 替换成 #include ...
CUSTOM_CXX := g++ CUDA directory contains bin/ and lib/ directories that we need. CUDA_DIR := /usr/local/cuda On Ubuntu 14.04, if cuda tools are installed via "sudo apt-get install nvidia-cuda-toolkit" then use this instead: CUDA_DIR := /usr CUDA architecture setting: going with all...
#include "cutlass/arch/wmma.h" #if defined(CUTLASS_ARCH_WMMA_ENABLED) // CUDA Toolkit includes for nvcuda::wmma needed for binarized matrix multiply.#include <mma.h> #include "cutlass/wmma_array.h" #endif // CUTLASS includes
grid_constant是否仅适用于CUDA 11.7及更高版本？
63 // Workaround for cuda_fp16.h C incompatibility 64 typedef 65 struct 66 { 67 short fp16; 68 } 69 Npp16f; 70 71 typedef 72 struct 73 { 74 short fp16_0; 75 short fp16_1; 76 } 77 Npp16f_2; 78 79 #define NPP_HALF_TO_NPP16F(pHalf) (* reinterpret_cast<Npp16f...
#if defined(__CUDA_ARCH__) asm volatile ("rcp.approx.ftz.f32 %0, %1;\n" : "=f"(ret) : "f"(lhs)); #else if (std::fpclassify(lhs) == FP_SUBNORMAL) { lhs = 0.0f; } ret = 1.0f / lhs; if (std::fpclassify(ret) == FP_SUBNORMAL) { ret = 0.0f; } ...
63 // Workaround for cuda_fp16.h C incompatibility 64 typedef 65 struct 66 { 67 short fp16; 68 } 69 Npp16f; 70 71 typedef 72 struct 73 { 74 short fp16_0; 75 short fp16_1; 76 } 77 Npp16f_2; 78 79 #define NPP_HALF_TO_NPP16F(pHalf) (* reinterpret_cast<Npp16f...
crc16.h crc32.h crc32c.h crc32poly.h crc4.h crc64.h crc7.h crc8.h cred.h crypto.h cs5535.h ctype.h cuda.h cxl-event.h damon.h dasd_mod.h davinci_emac.h dax.h dca.h dcache.h dccp.h debug_locks.h debugfs.h debugobjects.h delay.h delayacct.h delayed_ca...
https://pytorch.org/and ,my version is CUDA 12.4. However,after I unziped the release,I discover that when I use cmake to contain the Libtorch to my build system,I connot find the key header file "Torch/torch.h" in the include folder. ...