diff options
Diffstat (limited to 'libcuda/cuda_runtime_api.cc')
| -rw-r--r-- | libcuda/cuda_runtime_api.cc | 4342 |
1 files changed, 4215 insertions, 127 deletions
diff --git a/libcuda/cuda_runtime_api.cc b/libcuda/cuda_runtime_api.cc index 7ee7dbe..45511d4 100644 --- a/libcuda/cuda_runtime_api.cc +++ b/libcuda/cuda_runtime_api.cc @@ -126,6 +126,8 @@ #include "host_defines.h" #include "builtin_types.h" #include "driver_types.h" +#include "cuda_api.h" +#include "cudaProfiler.h" #if (CUDART_VERSION < 8000) #include "__cudaFatFormat.h" #endif @@ -145,6 +147,13 @@ #include <mach-o/dyld.h> #endif +std::map<void *,void **> pinned_memory; //support for pinned memories added +std::map<void *, size_t> pinned_memory_size; +std::map<unsigned long long, size_t> g_mallocPtr_Size; +int no_of_ptx=0; +//maps sm version number to set of filenames +std::map<unsigned, std::set<std::string> > version_filename; + extern void synchronize(); extern void exit_simulation(); @@ -282,6 +291,10 @@ struct CUctx_st { } } + void register_hostFun_function( const char*hostFun, function_info* f){ + m_kernel_lookup[hostFun] = f; + } + function_info *get_kernel(const char *hostFun) { std::map<const void*,function_info*>::iterator i=m_kernel_lookup.find(hostFun); @@ -307,12 +320,21 @@ public: m_sharedMem=sharedMem; m_stream = stream; } + kernel_config() + { + m_GridDim=dim3(-1,-1,-1); + m_BlockDim=dim3(-1,-1,-1); + m_sharedMem=0; + m_stream =NULL; + } void set_arg( const void *arg, size_t size, size_t offset ) { m_args.push_front( gpgpu_ptx_sim_arg(arg,size,offset) ); } dim3 grid_dim() const { return m_GridDim; } dim3 block_dim() const { return m_BlockDim; } + void set_grid_dim(dim3 *d) { m_GridDim = *d; } + void set_block_dim(dim3 *d) { m_BlockDim = *d; } gpgpu_ptx_sim_arg_list_t get_args() { return m_args; } struct CUstream_st *get_stream() { return m_stream; } @@ -324,7 +346,7 @@ private: gpgpu_ptx_sim_arg_list_t m_args; }; -class _cuda_device_id *GPGPUSim_Init() +struct _cuda_device_id *GPGPUSim_Init() { static _cuda_device_id *the_device = NULL; if( !the_device ) { @@ -332,8 +354,8 @@ class _cuda_device_id *GPGPUSim_Init() cudaDeviceProp *prop = (cudaDeviceProp *) calloc(sizeof(cudaDeviceProp),1); snprintf(prop->name,256,"GPGPU-Sim_v%s", g_gpgpusim_version_string ); - prop->major = 5; - prop->minor = 2; + prop->major = the_gpu->compute_capability_major(); + prop->minor = the_gpu->compute_capability_minor(); prop->totalGlobalMem = 0x80000000 /* 2 GB */; prop->memPitch = 0; if(prop->major >= 2) { @@ -354,8 +376,14 @@ class _cuda_device_id *GPGPUSim_Init() prop->maxGridSize[2] = 0x40000000; prop->totalConstMem = 0x40000000; prop->textureAlignment = 0; - prop->sharedMemPerBlock = the_gpu->shared_mem_size(); - prop->regsPerBlock = the_gpu->num_registers_per_core(); +// * TODO: Update the .config and xml files of all GPU config files with new value of sharedMemPerBlock and regsPerBlock + prop->sharedMemPerBlock = the_gpu->shared_mem_per_block(); +#if (CUDART_VERSION > 5050) + prop->regsPerMultiprocessor = the_gpu->num_registers_per_core(); + prop->sharedMemPerMultiprocessor = the_gpu->shared_mem_size(); +#endif + prop->sharedMemPerBlock = the_gpu->shared_mem_per_block(); + prop->regsPerBlock = the_gpu->num_registers_per_block(); prop->warpSize = the_gpu->wrp_size(); prop->clockRate = the_gpu->shader_clock(); #if (CUDART_VERSION >= 2010) @@ -413,6 +441,11 @@ void cuda_not_implemented( const char* func, unsigned line ) abort(); } +void announce_call( const char* func ) +{ + printf("\n\nGPGPU-Sim PTX: CUDA API function \"%s\" has been called.\n", func); + fflush(stdout); +} #define gpgpusim_ptx_error(msg, ...) gpgpusim_ptx_error_impl(__func__, __FILE__,__LINE__, msg, ##__VA_ARGS__) #define gpgpusim_ptx_assert(cond,msg, ...) gpgpusim_ptx_assert_impl((cond),__func__, __FILE__,__LINE__, msg, ##__VA_ARGS__) @@ -470,10 +503,15 @@ cudaError_t cudaPeekAtLastError(void) __host__ cudaError_t CUDARTAPI cudaMalloc(void **devPtr, size_t size) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUctx_st* context = GPGPUSim_Context(); *devPtr = context->get_device()->get_gpgpu()->gpu_malloc(size); - if(g_debug_execution >= 3) + if(g_debug_execution >= 3){ printf("GPGPU-Sim PTX: cudaMallocing %zu bytes starting at 0x%llx..\n",size, (unsigned long long) *devPtr); + g_mallocPtr_Size[(unsigned long long)*devPtr] = size; + } if ( *devPtr ) { return g_last_cudaError = cudaSuccess; } else { @@ -483,9 +521,14 @@ __host__ cudaError_t CUDARTAPI cudaMalloc(void **devPtr, size_t size) __host__ cudaError_t CUDARTAPI cudaMallocHost(void **ptr, size_t size) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } GPGPUSim_Context(); *ptr = malloc(size); if ( *ptr ) { + //track pinned memory size allocated in the host so that same amount of memory is also allocated in GPU. + pinned_memory_size[*ptr]=size; return g_last_cudaError = cudaSuccess; } else { return g_last_cudaError = cudaErrorMemoryAllocation; @@ -493,6 +536,9 @@ __host__ cudaError_t CUDARTAPI cudaMallocHost(void **ptr, size_t size) } __host__ cudaError_t CUDARTAPI cudaMallocPitch(void **devPtr, size_t *pitch, size_t width, size_t height) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } unsigned malloc_width_inbytes = width; printf("GPGPU-Sim PTX: cudaMallocPitch (width = %d)\n", malloc_width_inbytes); CUctx_st* ctx = GPGPUSim_Context(); @@ -507,6 +553,9 @@ __host__ cudaError_t CUDARTAPI cudaMallocPitch(void **devPtr, size_t *pitch, siz __host__ cudaError_t CUDARTAPI cudaMallocArray(struct cudaArray **array, const struct cudaChannelFormatDesc *desc, size_t width, size_t height __dv(1)) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } unsigned size = width * height * ((desc->x + desc->y + desc->z + desc->w)/8); CUctx_st* context = GPGPUSim_Context(); (*array) = (struct cudaArray*) malloc(sizeof(struct cudaArray)); @@ -527,17 +576,26 @@ __host__ cudaError_t CUDARTAPI cudaMallocArray(struct cudaArray **array, const s __host__ cudaError_t CUDARTAPI cudaFree(void *devPtr) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } // TODO... manage g_global_mem space? return g_last_cudaError = cudaSuccess; } __host__ cudaError_t CUDARTAPI cudaFreeHost(void *ptr) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } free (ptr); // this will crash the system if called twice return g_last_cudaError = cudaSuccess; } __host__ cudaError_t CUDARTAPI cudaFreeArray(struct cudaArray *array) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } // TODO... manage g_global_mem space? return g_last_cudaError = cudaSuccess; }; @@ -551,6 +609,9 @@ __host__ cudaError_t CUDARTAPI cudaFreeArray(struct cudaArray *array) __host__ cudaError_t CUDARTAPI cudaMemcpy(void *dst, const void *src, size_t count, enum cudaMemcpyKind kind) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } //CUctx_st *context = GPGPUSim_Context(); //gpgpu_t *gpu = context->get_device()->get_gpgpu(); if(g_debug_execution >= 3) @@ -586,6 +647,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpy(void *dst, const void *src, size_t cou __host__ cudaError_t CUDARTAPI cudaMemcpyToArray(struct cudaArray *dst, size_t wOffset, size_t hOffset, const void *src, size_t count, enum cudaMemcpyKind kind) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUctx_st *context = GPGPUSim_Context(); gpgpu_t *gpu = context->get_device()->get_gpgpu(); size_t size = count; @@ -607,6 +671,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpyToArray(struct cudaArray *dst, size_t w __host__ cudaError_t CUDARTAPI cudaMemcpyFromArray(void *dst, const struct cudaArray *src, size_t wOffset, size_t hOffset, size_t count, enum cudaMemcpyKind kind) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -614,6 +681,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpyFromArray(void *dst, const struct cudaA __host__ cudaError_t CUDARTAPI cudaMemcpyArrayToArray(struct cudaArray *dst, size_t wOffsetDst, size_t hOffsetDst, const struct cudaArray *src, size_t wOffsetSrc, size_t hOffsetSrc, size_t count, enum cudaMemcpyKind kind __dv(cudaMemcpyDeviceToDevice)) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -621,6 +691,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpyArrayToArray(struct cudaArray *dst, siz __host__ cudaError_t CUDARTAPI cudaMemcpy2D(void *dst, size_t dpitch, const void *src, size_t spitch, size_t width, size_t height, enum cudaMemcpyKind kind) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUctx_st *context = GPGPUSim_Context(); gpgpu_t *gpu = context->get_device()->get_gpgpu(); size_t size = spitch*height; @@ -641,6 +714,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpy2D(void *dst, size_t dpitch, const void __host__ cudaError_t CUDARTAPI cudaMemcpy2DToArray(struct cudaArray *dst, size_t wOffset, size_t hOffset, const void *src, size_t spitch, size_t width, size_t height, enum cudaMemcpyKind kind) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUctx_st *context = GPGPUSim_Context(); gpgpu_t *gpu = context->get_device()->get_gpgpu(); size_t size = spitch*height; @@ -670,6 +746,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpy2DToArray(struct cudaArray *dst, size_t __host__ cudaError_t CUDARTAPI cudaMemcpy2DFromArray(void *dst, size_t dpitch, const struct cudaArray *src, size_t wOffset, size_t hOffset, size_t width, size_t height, enum cudaMemcpyKind kind) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -677,6 +756,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpy2DFromArray(void *dst, size_t dpitch, c __host__ cudaError_t CUDARTAPI cudaMemcpy2DArrayToArray(struct cudaArray *dst, size_t wOffsetDst, size_t hOffsetDst, const struct cudaArray *src, size_t wOffsetSrc, size_t hOffsetSrc, size_t width, size_t height, enum cudaMemcpyKind kind __dv(cudaMemcpyDeviceToDevice)) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -684,6 +766,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpy2DArrayToArray(struct cudaArray *dst, s __host__ cudaError_t CUDARTAPI cudaMemcpyToSymbol(const char *symbol, const void *src, size_t count, size_t offset __dv(0), enum cudaMemcpyKind kind __dv(cudaMemcpyHostToDevice)) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } //CUctx_st *context = GPGPUSim_Context(); assert(kind == cudaMemcpyHostToDevice); printf("GPGPU-Sim PTX: cudaMemcpyToSymbol: symbol = %p\n", symbol); @@ -696,6 +781,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpyToSymbol(const char *symbol, const void __host__ cudaError_t CUDARTAPI cudaMemcpyFromSymbol(void *dst, const char *symbol, size_t count, size_t offset __dv(0), enum cudaMemcpyKind kind __dv(cudaMemcpyDeviceToHost)) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } //CUctx_st *context = GPGPUSim_Context(); assert(kind == cudaMemcpyDeviceToHost); printf("GPGPU-Sim PTX: cudaMemcpyFromSymbol: symbol = %p\n", symbol); @@ -704,7 +792,16 @@ __host__ cudaError_t CUDARTAPI cudaMemcpyFromSymbol(void *dst, const char *symbo return g_last_cudaError = cudaSuccess; } +__host__ cudaError_t CUDARTAPI cudaMemGetInfo (size_t *free, size_t *total){ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + //placeholder; should interact with cudaMalloc and cudaFree? + *free = 10000000000; + *total = 10000000000; + return g_last_cudaError = cudaSuccess; +} /******************************************************************************* * * @@ -714,6 +811,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpyFromSymbol(void *dst, const char *symbo __host__ cudaError_t CUDARTAPI cudaMemcpyAsync(void *dst, const void *src, size_t count, enum cudaMemcpyKind kind, cudaStream_t stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } struct CUstream_st *s = (struct CUstream_st *)stream; switch( kind ) { case cudaMemcpyHostToDevice: g_stream_manager->push( stream_operation(src,(size_t)dst,count,s) ); break; @@ -728,6 +828,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpyAsync(void *dst, const void *src, size_ __host__ cudaError_t CUDARTAPI cudaMemcpyToArrayAsync(struct cudaArray *dst, size_t wOffset, size_t hOffset, const void *src, size_t count, enum cudaMemcpyKind kind, cudaStream_t stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -735,6 +838,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpyToArrayAsync(struct cudaArray *dst, siz __host__ cudaError_t CUDARTAPI cudaMemcpyFromArrayAsync(void *dst, const struct cudaArray *src, size_t wOffset, size_t hOffset, size_t count, enum cudaMemcpyKind kind, cudaStream_t stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -742,6 +848,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpyFromArrayAsync(void *dst, const struct __host__ cudaError_t CUDARTAPI cudaMemcpy2DAsync(void *dst, size_t dpitch, const void *src, size_t spitch, size_t width, size_t height, enum cudaMemcpyKind kind, cudaStream_t stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -749,6 +858,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpy2DAsync(void *dst, size_t dpitch, const __host__ cudaError_t CUDARTAPI cudaMemcpy2DToArrayAsync(struct cudaArray *dst, size_t wOffset, size_t hOffset, const void *src, size_t spitch, size_t width, size_t height, enum cudaMemcpyKind kind, cudaStream_t stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -756,6 +868,9 @@ __host__ cudaError_t CUDARTAPI cudaMemcpy2DToArrayAsync(struct cudaArray *dst, s __host__ cudaError_t CUDARTAPI cudaMemcpy2DFromArrayAsync(void *dst, size_t dpitch, const struct cudaArray *src, size_t wOffset, size_t hOffset, size_t width, size_t height, enum cudaMemcpyKind kind, cudaStream_t stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -770,6 +885,22 @@ __host__ cudaError_t CUDARTAPI cudaMemcpy2DFromArrayAsync(void *dst, size_t dpit __host__ cudaError_t CUDARTAPI cudaMemset(void *mem, int c, size_t count) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + CUctx_st *context = GPGPUSim_Context(); + gpgpu_t *gpu = context->get_device()->get_gpgpu(); + gpu->gpu_memset((size_t)mem, c, count); + return g_last_cudaError = cudaSuccess; +} + +//memset operation is done but i think its not async? +__host__ cudaError_t CUDARTAPI cudaMemsetAsync(void *mem, int c, size_t count, cudaStream_t stream=0) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("GPGPU-Sim PTX: WARNING: Asynchronous memset not supported (%s)\n", __my_func__); CUctx_st *context = GPGPUSim_Context(); gpgpu_t *gpu = context->get_device()->get_gpgpu(); gpu->gpu_memset((size_t)mem, c, count); @@ -778,6 +909,9 @@ __host__ cudaError_t CUDARTAPI cudaMemset(void *mem, int c, size_t count) __host__ cudaError_t CUDARTAPI cudaMemset2D(void *mem, size_t pitch, int c, size_t width, size_t height) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -792,6 +926,9 @@ __host__ cudaError_t CUDARTAPI cudaMemset2D(void *mem, size_t pitch, int c, size __host__ cudaError_t CUDARTAPI cudaGetSymbolAddress(void **devPtr, const char *symbol) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -799,6 +936,9 @@ __host__ cudaError_t CUDARTAPI cudaGetSymbolAddress(void **devPtr, const char *s __host__ cudaError_t CUDARTAPI cudaGetSymbolSize(size_t *size, const char *symbol) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } @@ -812,6 +952,9 @@ __host__ cudaError_t CUDARTAPI cudaGetSymbolSize(size_t *size, const char *symbo *******************************************************************************/ __host__ cudaError_t CUDARTAPI cudaGetDeviceCount(int *count) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } _cuda_device_id *dev = GPGPUSim_Init(); *count = dev->num_devices(); return g_last_cudaError = cudaSuccess; @@ -819,6 +962,9 @@ __host__ cudaError_t CUDARTAPI cudaGetDeviceCount(int *count) __host__ cudaError_t CUDARTAPI cudaGetDeviceProperties(struct cudaDeviceProp *prop, int device) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } _cuda_device_id *dev = GPGPUSim_Init(); if (device <= dev->num_devices() ) { *prop= *dev->get_prop(); @@ -828,8 +974,232 @@ __host__ cudaError_t CUDARTAPI cudaGetDeviceProperties(struct cudaDeviceProp *pr } } +#if (CUDART_VERSION >= 8000) +cudaError_t CUDARTAPI cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags(int* numBlocks, const char *hostFunc, int blockSize, size_t dynamicSMemSize, unsigned int flags) +{ + printf("GPGPU-Sim PTX: cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags %p\n", hostFunc); + CUctx_st *context = GPGPUSim_Context(); + function_info *entry = context->get_kernel(hostFunc); + printf("Calculate Maxium Active Block with function ptr=%p, blockSize=%d, SMemSize=%d\n", hostFunc, blockSize, dynamicSMemSize); + if (flags == cudaOccupancyDefault) { + //create kernel_info based on entry + dim3 gridDim(context->get_device()->get_gpgpu()->max_cta_per_core() + * context->get_device()->get_gpgpu()->get_config().num_shader()); + dim3 blockDim(blockSize); + kernel_info_t result(gridDim, blockDim, entry); + //if(entry == NULL){ + // *numBlocks = 1; + // return g_last_cudaError = cudaErrorUnknown; + //} + *numBlocks = context->get_device()->get_gpgpu()->get_max_cta(result); + printf("Maximum size is %d with gridDim %d and blockDim %d\n", *numBlocks, gridDim.x, blockDim.x); + return g_last_cudaError = cudaSuccess; + } else { + cuda_not_implemented(__my_func__,__LINE__); + return g_last_cudaError = cudaErrorUnknown; + } +} + +#endif + +#if (CUDART_VERSION > 5000) +__host__ cudaError_t CUDARTAPI cudaDeviceGetAttribute(int *value, enum cudaDeviceAttr attr, int device) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + const struct cudaDeviceProp *prop; + _cuda_device_id *dev = GPGPUSim_Init(); + if (device <= dev->num_devices() ) { + prop = dev->get_prop(); + switch (attr) { + case 1: + *value= prop->maxThreadsPerBlock; + break; + case 2: + *value= prop->maxThreadsDim[0]; + break; + case 3: + *value= prop->maxThreadsDim[1]; + break; + case 4: + *value= prop->maxThreadsDim[2]; + break; + case 5: + *value= prop->maxGridSize[0]; + break; + case 6: + *value= prop->maxGridSize[1]; + break; + case 7: + *value= prop->maxGridSize[2]; + break; + case 8: + *value= prop->sharedMemPerBlock; + break; + case 9: + *value= prop->totalConstMem; + break; + case 10: + *value= prop->warpSize; + break; + case 11: + *value= 16;//dummy value + break; + case 12: + *value= prop->regsPerBlock; + break; + case 13: + *value= 1480000;//for 1080ti + break; + case 14: + *value= prop->textureAlignment ; + break; + case 15: + *value = 0; + break; + case 16: + *value= prop->multiProcessorCount ; + break; + case 17: + case 18: + case 19: + *value = 0; + break; + case 21: + case 22: + case 23: + case 24: + case 25: + case 26: + case 27: + case 28: + case 42: + case 45: + case 46: + case 47: + case 48: + case 49: + case 52: + case 53: + case 55: + case 56: + case 57: + case 58: + case 59: + case 60: + case 61: + case 62: + case 63: + case 64: + case 66: + case 67: + case 69: + case 70: + case 71: + case 73: + case 74: + case 77: + *value = 1000;//dummy value + break; + case 29: + case 43: + case 54: + case 65: + case 68: + case 72: + *value = 10;//dummy value + break; + case 30: + case 51: + *value = 128;//dummy value + break; + case 31: + *value = 1; + break; + case 32: + *value = 0; + break; + case 33: + case 50: + *value = 0;//dummy value + break; + case 34: + *value= 0; + break; + case 35: + *value = 0; + break; + case 36: + *value = 1250000;//CK value for 1080ti + break; + case 37: + *value = 352;//value for 1080ti + break; + case 38: + *value = 3000000;//value for 1080ti + break; + case 39: + *value= dev->get_gpgpu()->threads_per_core(); + break; + case 40: + *value= 0; + break; + case 41: + *value= 0; + break; + case 75://cudaDevAttrComputeCapabilityMajor + *value= prop->major ; + break; + case 76://cudaDevAttrComputeCapabilityMinor + *value= prop->minor ; + break; + case 78: + *value= 0 ; //TODO: as of now, we dont support stream priorities. + break; + case 79: + *value= 0; + break; + case 80: + *value= 0; + break; + #if (CUDART_VERSION > 5050) + case 81: + *value= prop->sharedMemPerMultiprocessor; + break; + case 82: + *value= prop->regsPerMultiprocessor; + break; + #endif + case 83: + case 84: + case 85: + case 86: + *value= 0; + break; + case 87: + *value= 4;//dummy value + break; + case 88: + case 89: + *value= 0; + break; + default: + printf("ERROR: Attribute number %d unimplemented \n",attr); + abort(); + } + return g_last_cudaError = cudaSuccess; + } else { + return g_last_cudaError = cudaErrorInvalidDevice; + } +} +#endif + __host__ cudaError_t CUDARTAPI cudaChooseDevice(int *device, const struct cudaDeviceProp *prop) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } _cuda_device_id *dev = GPGPUSim_Init(); *device = dev->get_id(); return g_last_cudaError = cudaSuccess; @@ -837,6 +1207,9 @@ __host__ cudaError_t CUDARTAPI cudaChooseDevice(int *device, const struct cudaDe __host__ cudaError_t CUDARTAPI cudaSetDevice(int device) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } //set the active device to run cuda if ( device <= GPGPUSim_Init()->num_devices() ) { g_active_device = device; @@ -848,10 +1221,110 @@ __host__ cudaError_t CUDARTAPI cudaSetDevice(int device) __host__ cudaError_t CUDARTAPI cudaGetDevice(int *device) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } *device = g_active_device; return g_last_cudaError = cudaSuccess; } +__host__ cudaError_t CUDARTAPI cudaDeviceGetLimit ( size_t* pValue, cudaLimit limit ) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + _cuda_device_id *dev = GPGPUSim_Init(); + const struct cudaDeviceProp *prop = dev->get_prop(); + const gpgpu_sim_config& config=dev->get_gpgpu()->get_config(); + switch(limit) { + case 0: // cudaLimitStackSize + *pValue=config.stack_limit(); + break; + case 2: // cudaLimitMallocHeapSize + *pValue=config.heap_limit(); + break; +#if (CUDART_VERSION > 5050) + case 3: // cudaLimitDevRuntimeSyncDepth + if(prop->major > 2){ + *pValue=config.sync_depth_limit(); + break; + } + else{ + printf("ERROR:Limit %s is not supported on this architecture \n",limit); + abort(); + } + case 4: // cudaLimitDevRuntimePendingLaunchCount + if(prop->major > 2){ + *pValue=config.pending_launch_count_limit(); + break; + } + else{ + printf("ERROR:Limit %s is not supported on this architecture \n",limit); + abort(); + } +#endif + default: + printf("ERROR:Limit %s unimplemented \n",limit); + abort(); + } + return g_last_cudaError = cudaSuccess; + +} + +__host__ cudaError_t CUDARTAPI cudaStreamGetPriority ( cudaStream_t hStream, int* priority ) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cuda_not_implemented(__my_func__,__LINE__); + return g_last_cudaError = cudaSuccess; + +} + +__host__ cudaError_t CUDARTAPI cudaDeviceGetPCIBusId ( + char *pciBusId, + int len, + int device +) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cuda_not_implemented(__my_func__,__LINE__); + return g_last_cudaError = cudaErrorUnknown; +} + +__host__ cudaError_t CUDARTAPI cudaIpcGetMemHandle( cudaIpcMemHandle_t* handle, void* devPtr ) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cuda_not_implemented(__my_func__,__LINE__); + return g_last_cudaError = cudaErrorUnknown; +} + +__host__ cudaError_t cudaIpcOpenMemHandle( + void **devPtr, + cudaIpcMemHandle_t handle, + unsigned int flags +) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cuda_not_implemented(__my_func__,__LINE__); + return g_last_cudaError = cudaErrorUnknown; +} + +__host__ cudaError_t CUDARTAPI cudaDestroyTextureObject(cudaTextureObject_t texObject) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cuda_not_implemented(__my_func__,__LINE__); + return g_last_cudaError = cudaErrorUnknown; +} + /******************************************************************************* * * @@ -865,6 +1338,9 @@ __host__ cudaError_t CUDARTAPI cudaBindTexture(size_t *offset, const struct cudaChannelFormatDesc *desc, size_t size __dv(UINT_MAX)) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUctx_st *context = GPGPUSim_Context(); gpgpu_t *gpu = context->get_device()->get_gpgpu(); printf("GPGPU-Sim PTX: in cudaBindTexture: sizeof(struct textureReference) = %zu\n", sizeof(struct textureReference)); @@ -893,6 +1369,9 @@ __host__ cudaError_t CUDARTAPI cudaBindTexture(size_t *offset, __host__ cudaError_t CUDARTAPI cudaBindTextureToArray(const struct textureReference *texref, const struct cudaArray *array, const struct cudaChannelFormatDesc *desc) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUctx_st *context = GPGPUSim_Context(); gpgpu_t *gpu = context->get_device()->get_gpgpu(); printf("GPGPU-Sim PTX: in cudaBindTextureToArray: %p %p\n", texref, array); @@ -903,25 +1382,42 @@ __host__ cudaError_t CUDARTAPI cudaBindTextureToArray(const struct textureRefere return g_last_cudaError = cudaSuccess; } -__host__ cudaError_t CUDARTAPI cudaUnbindTexture(const struct textureReference *texref) -{ - return g_last_cudaError = cudaSuccess; +__host__ cudaError_t CUDARTAPI cudaUnbindTexture(const struct textureReference *texref){ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + CUctx_st *context = GPGPUSim_Context(); + gpgpu_t *gpu = context->get_device()->get_gpgpu(); + printf("GPGPU-Sim PTX: in cudaUnbindTexture: sizeof(struct textureReference) = %zu\n", sizeof(struct textureReference)); + printf("GPGPU-Sim PTX: Name corresponding to textureReference: %s\n", gpu->gpgpu_ptx_sim_findNamefromTexture(texref)); + + gpu->gpgpu_ptx_sim_unbindTexture(texref); + return g_last_cudaError = cudaSuccess; } __host__ cudaError_t CUDARTAPI cudaGetTextureAlignmentOffset(size_t *offset, const struct textureReference *texref) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } __host__ cudaError_t CUDARTAPI cudaGetTextureReference(const struct textureReference **texref, const char *symbol) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } __host__ cudaError_t CUDARTAPI cudaGetChannelDesc(struct cudaChannelFormatDesc *desc, const struct cudaArray *array) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } *desc = array->desc; return g_last_cudaError = cudaSuccess; } @@ -929,6 +1425,9 @@ __host__ cudaError_t CUDARTAPI cudaGetChannelDesc(struct cudaChannelFormatDesc * __host__ struct cudaChannelFormatDesc CUDARTAPI cudaCreateChannelDesc(int x, int y, int z, int w, enum cudaChannelFormatKind f) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } struct cudaChannelFormatDesc dummy; dummy.x = x; dummy.y = y; @@ -940,11 +1439,26 @@ __host__ struct cudaChannelFormatDesc CUDARTAPI cudaCreateChannelDesc(int x, int __host__ cudaError_t CUDARTAPI cudaGetLastError(void) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } return g_last_cudaError; } +__host__ const char *cudaGetErrorName(cudaError_t error) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cuda_not_implemented(__my_func__,__LINE__); + return NULL; +} + __host__ const char* CUDARTAPI cudaGetErrorString(cudaError_t error) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } if( g_last_cudaError == cudaSuccess ) return "no error"; char buf[1024]; @@ -954,6 +1468,9 @@ __host__ const char* CUDARTAPI cudaGetErrorString(cudaError_t error) __host__ cudaError_t CUDARTAPI cudaConfigureCall(dim3 gridDim, dim3 blockDim, size_t sharedMem, cudaStream_t stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } struct CUstream_st *s = (struct CUstream_st *)stream; g_cuda_launch_stack.push_back( kernel_config(gridDim,blockDim,sharedMem,s) ); return g_last_cudaError = cudaSuccess; @@ -961,9 +1478,13 @@ __host__ cudaError_t CUDARTAPI cudaConfigureCall(dim3 gridDim, dim3 blockDim, si __host__ cudaError_t CUDARTAPI cudaSetupArgument(const void *arg, size_t size, size_t offset) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } gpgpusim_ptx_assert( !g_cuda_launch_stack.empty(), "empty launch stack" ); kernel_config &config = g_cuda_launch_stack.back(); config.set_arg(arg,size,offset); + printf("GPGPU-Sim PTX: Setting up arguments for %zu bytes starting at 0x%llx..\n",size, (unsigned long long) arg); return g_last_cudaError = cudaSuccess; } @@ -971,19 +1492,80 @@ __host__ cudaError_t CUDARTAPI cudaSetupArgument(const void *arg, size_t size, s __host__ cudaError_t CUDARTAPI cudaLaunch( const char *hostFun ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUctx_st* context = GPGPUSim_Context(); char *mode = getenv("PTX_SIM_MODE_FUNC"); if( mode ) sscanf(mode,"%u", &g_ptx_sim_mode); gpgpusim_ptx_assert( !g_cuda_launch_stack.empty(), "empty launch stack" ); kernel_config config = g_cuda_launch_stack.back(); + { + dim3 gridDim = config.grid_dim(); + dim3 blockDim = config.block_dim(); + //if (gridDim.x * gridDim.y * gridDim.z == 0 || blockDim.x * blockDim.y * blockDim.z == 0) + //{ + //can't launch + // printf("can't launch a empty kernel\n"); + // g_cuda_launch_stack.pop_back(); + // return g_last_cudaError = cudaErrorInvalidConfiguration; + //} + } struct CUstream_st *stream = config.get_stream(); + if(g_stream_manager->is_blocking()) + stream = 0; + printf("\nGPGPU-Sim PTX: cudaLaunch for 0x%p (mode=%s) on stream %u\n", hostFun, g_ptx_sim_mode?"functional simulation":"performance simulation", stream?stream->get_uid():0 ); kernel_info_t *grid = gpgpu_cuda_ptx_sim_init_grid(hostFun,config.get_args(),config.grid_dim(),config.block_dim(),context); + //do dynamic PDOM analysis for performance simulation scenario std::string kname = grid->name(); + function_info *kernel_func_info = grid->entry(); + if (kernel_func_info->is_pdom_set()) { + printf("GPGPU-Sim PTX: PDOM analysis already done for %s \n", kname.c_str() ); + } else { + printf("GPGPU-Sim PTX: finding reconvergence points for \'%s\'...\n", kname.c_str() ); + kernel_func_info->do_pdom(); + kernel_func_info->set_pdom(); + } dim3 gridDim = config.grid_dim(); dim3 blockDim = config.block_dim(); + + gpgpu_t *gpu = context->get_device()->get_gpgpu(); + checkpoint *g_checkpoint; + g_checkpoint = new checkpoint(); + class memory_space *global_mem; + global_mem = gpu->get_global_memory(); + + if(gpu->resume_option ==1 && (grid->get_uid()==gpu->resume_kernel)) + { + + char f1name[2048]; + snprintf(f1name,2048,"checkpoint_files/global_mem_%d.txt", grid->get_uid()); + + g_checkpoint->load_global_mem(global_mem, f1name); + for (int i=0;i<gpu->resume_CTA;i++) + grid->increment_cta_id(); + } + if(gpu->resume_option==1 && (grid->get_uid()<gpu->resume_kernel)) + { + char f1name[2048]; + snprintf(f1name,2048,"checkpoint_files/global_mem_%d.txt", grid->get_uid()); + + g_checkpoint->load_global_mem(global_mem, f1name); + printf("Skipping kernel %d as resuming from kernel %d\n",grid->get_uid(),gpu->resume_kernel ); + g_cuda_launch_stack.pop_back(); + return g_last_cudaError = cudaSuccess; + + } + if(gpu->checkpoint_option==1 && (grid->get_uid()>gpu->checkpoint_kernel)) + { + printf("Skipping kernel %d as checkpoint from kernel %d\n",grid->get_uid(),gpu->checkpoint_kernel ); + g_cuda_launch_stack.pop_back(); + return g_last_cudaError = cudaSuccess; + + } printf("GPGPU-Sim PTX: pushing kernel \'%s\' to stream %u, gridDim= (%u,%u,%u) blockDim = (%u,%u,%u) \n", kname.c_str(), stream?stream->get_uid():0, gridDim.x,gridDim.y,gridDim.z,blockDim.x,blockDim.y,blockDim.z ); stream_operation op(grid,g_ptx_sim_mode,stream); @@ -992,6 +1574,26 @@ __host__ cudaError_t CUDARTAPI cudaLaunch( const char *hostFun ) return g_last_cudaError = cudaSuccess; } +__host__ cudaError_t CUDARTAPI cudaLaunchKernel ( const char* hostFun, dim3 gridDim, dim3 blockDim, const void** args, size_t sharedMem, cudaStream_t stream ) +{ + + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + CUctx_st *context = GPGPUSim_Context(); + function_info *entry = context->get_kernel(hostFun); + + cudaConfigureCall(gridDim, blockDim, sharedMem, stream); + for(unsigned i = 0; i < entry->num_args(); i++){ + std::pair<size_t, unsigned> p = entry->get_param_config(i); + cudaSetupArgument(args[i], p.first, p.second); + } + + cudaLaunch(hostFun); + return g_last_cudaError = cudaSuccess; +} + + /******************************************************************************* * * * * @@ -1000,6 +1602,9 @@ __host__ cudaError_t CUDARTAPI cudaLaunch( const char *hostFun ) __host__ cudaError_t CUDARTAPI cudaStreamCreate(cudaStream_t *stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } printf("GPGPU-Sim PTX: cudaStreamCreate\n"); #if (CUDART_VERSION >= 3000) *stream = new struct CUstream_st(); @@ -1011,13 +1616,37 @@ __host__ cudaError_t CUDARTAPI cudaStreamCreate(cudaStream_t *stream) return g_last_cudaError = cudaSuccess; } +//TODO: introduce priorities +__host__ cudaError_t CUDARTAPI cudaStreamCreateWithPriority(cudaStream_t *stream, unsigned int flags, int priority) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + return cudaStreamCreate(stream); +} + +__host__ cudaError_t CUDARTAPI cudaDeviceGetStreamPriorityRange(int* leastPriority, int* greatestPriority) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + return cudaSuccess; +} + __host__ __device__ cudaError_t CUDARTAPI cudaStreamCreateWithFlags(cudaStream_t *stream, unsigned int flags) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } return cudaStreamCreate(stream); } __host__ cudaError_t CUDARTAPI cudaStreamDestroy(cudaStream_t stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } #if (CUDART_VERSION >= 3000) + //per-stream synchronization required for application using external libraries without explicit synchronization in the code to + //avoid the stream_manager from spinning forever to destroy non-empty streams without making any forward progress. + stream->synchronize(); g_stream_manager->destroy_stream(stream); #endif return g_last_cudaError = cudaSuccess; @@ -1025,6 +1654,9 @@ __host__ cudaError_t CUDARTAPI cudaStreamDestroy(cudaStream_t stream) __host__ cudaError_t CUDARTAPI cudaStreamSynchronize(cudaStream_t stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } #if (CUDART_VERSION >= 3000) if( stream == NULL ) synchronize(); @@ -1038,6 +1670,9 @@ __host__ cudaError_t CUDARTAPI cudaStreamSynchronize(cudaStream_t stream) __host__ cudaError_t CUDARTAPI cudaStreamQuery(cudaStream_t stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } #if (CUDART_VERSION >= 3000) if( stream == NULL ) return g_last_cudaError = cudaErrorInvalidResourceHandle; @@ -1056,6 +1691,9 @@ __host__ cudaError_t CUDARTAPI cudaStreamQuery(cudaStream_t stream) __host__ cudaError_t CUDARTAPI cudaEventCreate(cudaEvent_t *event) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUevent_st *e = new CUevent_st(false); g_timer_events[e->get_uid()] = e; #if CUDART_VERSION >= 3000 @@ -1082,6 +1720,9 @@ CUevent_st *get_event(cudaEvent_t event) __host__ cudaError_t CUDARTAPI cudaEventRecord(cudaEvent_t event, cudaStream_t stream) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUevent_st *e = get_event(event); if( !e ) return g_last_cudaError = cudaErrorUnknown; struct CUstream_st *s = (struct CUstream_st *)stream; @@ -1090,8 +1731,32 @@ __host__ cudaError_t CUDARTAPI cudaEventRecord(cudaEvent_t event, cudaStream_t s return g_last_cudaError = cudaSuccess; } +__host__ cudaError_t CUDARTAPI cudaStreamWaitEvent(cudaStream_t stream, cudaEvent_t event, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + //reference: https://www.cs.cmu.edu/afs/cs/academic/class/15668-s11/www/cuda-doc/html/group__CUDART__STREAM_gfe68d207dc965685d92d3f03d77b0876.html + CUevent_st *e = get_event(event); + if( !e ){ + printf("GPGPU-Sim API: Warning: cudaEventRecord has not been called on event before calling cudaStreamWaitEvent.\nNothing to be done.\n"); + return g_last_cudaError = cudaSuccess; + } + if (!stream){ + g_stream_manager->pushCudaStreamWaitEventToAllStreams(e, flags); + } else { + struct CUstream_st *s = (struct CUstream_st *)stream; + stream_operation op(s,e,flags); + g_stream_manager->push(op); + } + return g_last_cudaError = cudaSuccess; +} + __host__ cudaError_t CUDARTAPI cudaEventQuery(cudaEvent_t event) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUevent_st *e = get_event(event); if( e == NULL ) { return g_last_cudaError = cudaErrorInvalidValue; @@ -1104,6 +1769,9 @@ __host__ cudaError_t CUDARTAPI cudaEventQuery(cudaEvent_t event) __host__ cudaError_t CUDARTAPI cudaEventSynchronize(cudaEvent_t event) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } printf("GPGPU-Sim API: cudaEventSynchronize ** waiting for event\n"); fflush(stdout); CUevent_st *e = (CUevent_st*) event; @@ -1116,6 +1784,9 @@ __host__ cudaError_t CUDARTAPI cudaEventSynchronize(cudaEvent_t event) __host__ cudaError_t CUDARTAPI cudaEventDestroy(cudaEvent_t event) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUevent_st *e = get_event(event); unsigned event_uid = e->get_uid(); event_tracker_t::iterator pe = g_timer_events.find(event_uid); @@ -1128,6 +1799,9 @@ __host__ cudaError_t CUDARTAPI cudaEventDestroy(cudaEvent_t event) __host__ cudaError_t CUDARTAPI cudaEventElapsedTime(float *ms, cudaEvent_t start, cudaEvent_t end) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } time_t elapsed_time; CUevent_st *s = get_event(start); CUevent_st *e = get_event(end); @@ -1148,12 +1822,18 @@ __host__ cudaError_t CUDARTAPI cudaEventElapsedTime(float *ms, cudaEvent_t start __host__ cudaError_t CUDARTAPI cudaThreadExit(void) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } exit_simulation(); return g_last_cudaError = cudaSuccess; } __host__ cudaError_t CUDARTAPI cudaThreadSynchronize(void) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } //Called on host side synchronize(); return g_last_cudaError = cudaSuccess; @@ -1161,6 +1841,9 @@ __host__ cudaError_t CUDARTAPI cudaThreadSynchronize(void) int CUDARTAPI __cudaSynchronizeThreads(void**, void*) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } return cudaThreadExit(); } @@ -1173,22 +1856,33 @@ int CUDARTAPI __cudaSynchronizeThreads(void**, void*) *******************************************************************************/ #if (CUDART_VERSION >= 3010) +int dummy0() { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } +return 0; } -typedef struct CUuuid_st { /**< CUDA definition of UUID */ - char bytes[16]; -} CUuuid; +int dummy1() { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } +return 2 << 20; } -/** - * CUDA UUID types - */ -// typedef __device_builtin__ struct CUuuid_st cudaUUID_t; +typedef int (*ExportedFunction)(); + +static ExportedFunction exportTable[3] = {&dummy0, &dummy0, &dummy0}; __host__ cudaError_t CUDARTAPI cudaGetExportTable(const void **ppExportTable, const cudaUUID_t *pExportTableId) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } printf("cudaGetExportTable: UUID = "); for (int s = 0; s < 16; s++) { printf("%#2x ", (unsigned char) (pExportTableId->bytes[s])); } + *ppExportTable = &exportTable; + printf("\n"); return g_last_cudaError = cudaSuccess; } @@ -1353,6 +2047,119 @@ std::string get_app_binary(){ return self_exe_path; } +//above func gives abs path whereas this give just the name of application. +char* get_app_binary_name(std::string abs_path){ + char *self_exe_path; +#ifdef __APPLE__ + //TODO: get apple device and check the result. + printf("WARNING: not tested for Apple-mac devices \n"); + abort(); +#else + char* buf = strdup(abs_path.c_str()); + char *token = strtok(buf, "/"); + while(token !=NULL){ + self_exe_path = token; + token = strtok(NULL,"/"); + } +#endif + self_exe_path = strtok(self_exe_path, "."); + printf("self exe links to: %s\n", self_exe_path); + return self_exe_path; +} + +//extracts all ptx files from binary and dumps into prog_name.unique_no.sm_<>.ptx files +void extract_ptx_files_using_cuobjdump(){ + extern bool g_cdp_enabled; + char command[1000]; + char *pytorch_bin = getenv("PYTORCH_BIN"); + std::string app_binary = get_app_binary(); + + + char ptx_list_file_name[1024]; + snprintf(ptx_list_file_name,1024,"_cuobjdump_list_ptx_XXXXXX"); + int fd2=mkstemp(ptx_list_file_name); + close(fd2); + + if (pytorch_bin!=NULL && strlen(pytorch_bin)!=0){ + app_binary = std::string(pytorch_bin); + } + + //only want file names + snprintf(command,1000,"$CUDA_INSTALL_PATH/bin/cuobjdump -lptx %s | cut -d \":\" -f 2 | awk '{$1=$1}1' > %s", app_binary.c_str(), ptx_list_file_name); + if( system(command) != 0 ) { + printf("WARNING: Failed to execute cuobjdump to get list of ptx files \n"); + exit(0); + } + if(!g_cdp_enabled) { + //based on the list above, dump ptx files individually. Format of dumped ptx file is prog_name.unique_no.sm_<>.ptx + + std::ifstream infile(ptx_list_file_name); + std::string line; + while (std::getline(infile, line)) + { + //int pos = line.find(std::string(get_app_binary_name(app_binary))); + const char *ptx_file = line.c_str(); + printf("Extracting specific PTX file named %s \n",ptx_file); + snprintf(command,1000,"$CUDA_INSTALL_PATH/bin/cuobjdump -xptx %s %s", ptx_file, app_binary.c_str()); + if (system(command)!=0) { + printf("ERROR: command: %s failed \n",command); + exit(0); + } + no_of_ptx++; + } + } + + if(!no_of_ptx){ + printf("WARNING: Number of ptx in the executable file are 0. One of the reasons might be\n"); + printf("\t1. CDP is enabled\n"); + printf("\t2. When using PyTorch, PYTORCH_BIN is not set correctly\n"); + } + + std::ifstream infile(ptx_list_file_name); + std::string line; + while (std::getline(infile, line)) + { + //int pos = line.find(std::string(get_app_binary_name(app_binary))); + const char *ptx_file = line.c_str(); + int pos1 = line.find("sm_"); + int pos2 = line.find_last_of("."); + if (pos1==std::string::npos&&pos2==std::string::npos){ + printf("ERROR: PTX list is not in correct format"); + exit(0); + } + std::string vstr = line.substr(pos1+3,pos2-pos1-3); + int version = atoi(vstr.c_str()); + if (version_filename.find(version)==version_filename.end()){ + version_filename[version] = std::set<std::string>(); + } + version_filename[version].insert(line); + } + +} + +static int get_app_cuda_version() { + int app_cuda_version = 0; + char fname[1024]; + snprintf(fname,1024,"_app_cuda_version_XXXXXX"); + int fd=mkstemp(fname); + close(fd); + std::string app_cuda_version_command = "ldd " + get_app_binary() + " | grep libcudart.so | sed 's/.*libcudart.so.\\(.*\\) =>.*/\\1/' > " + fname; + system(app_cuda_version_command.c_str()); + FILE * cmd = fopen(fname, "r"); + char buf[256]; + while (fgets(buf, sizeof(buf), cmd) != 0) { + std::cout << buf; + app_cuda_version = atoi(buf); + } + fclose(cmd); + if ( app_cuda_version == 0 ) { + printf( "Error - Cannot detect the app's CUDA version.\n" ); + exit(1); + } + return app_cuda_version; +} + + //! Call cuobjdump to extract everything (-elf -sass -ptx) /*! * This Function extract the whole PTX (for all the files) using cuobjdump @@ -1362,105 +2169,124 @@ std::string get_app_binary(){ * enabled * */ void extract_code_using_cuobjdump(){ - CUctx_st *context = GPGPUSim_Context(); - char command[1000]; + CUctx_st *context = GPGPUSim_Context(); + unsigned forced_max_capability = context->get_device()->get_gpgpu()->get_config().get_forced_max_capability(); - std::string app_binary = get_app_binary(); + //prevent the dumping by cuobjdump everytime we execute the code! + const char *override_cuobjdump = getenv("CUOBJDUMP_SIM_FILE"); + char command[1000], ptx_file[1000]; + std::string app_binary = get_app_binary(); + //Running cuobjdump using dynamic link to current process + snprintf(command,1000,"md5sum %s ", app_binary.c_str()); + printf("Running md5sum using \"%s\"\n", command); + if(system(command)){ + std::cout << "Failed to execute: " << command << std::endl; + exit(1); + } + // Running cuobjdump using dynamic link to current process + // Needs the option '-all' to extract PTX from CDP-enabled binary + extern bool g_cdp_enabled; - char fname[1024]; + //dump ptx for all individial ptx files into sepearte files which is later used by ptxas. + int result=0; +#if (CUDART_VERSION >= 6000) + extract_ptx_files_using_cuobjdump(); + return; +#endif + //TODO: redundant to dump twice. how can it be prevented? + //dump only for specific arch + char fname[1024]; + if ((override_cuobjdump == NULL) || (strlen(override_cuobjdump)==0)) { snprintf(fname,1024,"_cuobjdump_complete_output_XXXXXX"); int fd=mkstemp(fname); close(fd); - // Running cuobjdump using dynamic link to current process - snprintf(command,1000,"md5sum %s ", app_binary.c_str()); - printf("Running md5sum using \"%s\"\n", command); - system(command); - // Running cuobjdump using dynamic link to current process - // Needs the option '-all' to extract PTX from CDP-enabled binary - extern bool g_cdp_enabled; if(!g_cdp_enabled) - snprintf(command,1000,"$CUDA_INSTALL_PATH/bin/cuobjdump -ptx -elf -sass %s > %s", app_binary.c_str(), fname); + snprintf(command,1000,"$CUDA_INSTALL_PATH/bin/cuobjdump -ptx -elf -sass %s > %s", app_binary.c_str(), fname); else - snprintf(command,1000,"$CUDA_INSTALL_PATH/bin/cuobjdump -ptx -elf -sass -all %s > %s", app_binary.c_str(), fname); + snprintf(command,1000,"$CUDA_INSTALL_PATH/bin/cuobjdump -ptx -elf -sass -all %s > %s", app_binary.c_str(), fname); bool parse_output = true; - int result = system(command); + result = system(command); if(result) { - if (context->get_device()->get_gpgpu()->get_config().experimental_lib_support() && (result == 65280)) { - // Some CUDA application may exclusively use kernels provided by CUDA - // libraries (e.g. CUBLAS). Skipping cuobjdump extraction from the - // executable for this case. - // 65280 is the return code from cuobjdump denoting the specific error (tested on CUDA 4.0/4.1/4.2) - printf("WARNING: Failed to execute: %s\n", command); - printf(" Executable binary does not contain any GPU kernel.\n"); - parse_output = false; - } else { - printf("ERROR: Failed to execute: %s\n", command); - exit(1); - } - } + if (context->get_device()->get_gpgpu()->get_config().experimental_lib_support() && (result == 65280)) { + // Some CUDA application may exclusively use kernels provided by CUDA + // libraries (e.g. CUBLAS). Skipping cuobjdump extraction from the + // executable for this case. + // 65280 is the return code from cuobjdump denoting the specific error (tested on CUDA 4.0/4.1/4.2) + printf("WARNING: Failed to execute: %s\n", command); + printf(" Executable binary does not contain any GPU kernel.\n"); + parse_output = false; + } else { + printf("ERROR: Failed to execute: %s\n", command); + exit(1); + } + } - if (parse_output) { - printf("Parsing file %s\n", fname); - cuobjdump_in = fopen(fname, "r"); + if (parse_output) { + printf("Parsing file %s\n", fname); + cuobjdump_in = fopen(fname, "r"); - cuobjdump_parse(); - fclose(cuobjdump_in); - printf("Done parsing!!!\n"); - } else { - printf("Parsing skipped for %s\n", fname); - } + cuobjdump_parse(); + fclose(cuobjdump_in); + printf("Done parsing!!!\n"); + } else { + printf("Parsing skipped for %s\n", fname); + } - if (context->get_device()->get_gpgpu()->get_config().experimental_lib_support()){ - //Experimental library support - //Currently only for cufft + if (context->get_device()->get_gpgpu()->get_config().experimental_lib_support()){ + //Experimental library support + //Currently only for cufft - std::stringstream cmd; - cmd << "ldd " << app_binary << " | grep $CUDA_INSTALL_PATH | awk \'{print $3}\' > _tempfile_.txt"; - int result = system(cmd.str().c_str()); - if(result){ - std::cout << "Failed to execute: " << cmd << std::endl; - exit(1); - } - std::ifstream libsf; - libsf.open("_tempfile_.txt"); - if(!libsf.is_open()) { - std::cout << "Failed to open: _tempfile_.txt" << std::endl; - exit(1); - } + std::stringstream cmd; + cmd << "ldd " << app_binary << " | grep $CUDA_INSTALL_PATH | awk \'{print $3}\' > _tempfile_.txt"; + int result = system(cmd.str().c_str()); + if(result){ + std::cout << "Failed to execute: " << cmd.str() << std::endl; + exit(1); + } + std::ifstream libsf; + libsf.open("_tempfile_.txt"); + if(!libsf.is_open()) { + std::cout << "Failed to open: _tempfile_.txt" << std::endl; + exit(1); + } - //Save the original section list - std::list<cuobjdumpSection*> tmpsl = cuobjdumpSectionList; - cuobjdumpSectionList.clear(); + //Save the original section list + std::list<cuobjdumpSection*> tmpsl = cuobjdumpSectionList; + cuobjdumpSectionList.clear(); - std::string line; - std::getline(libsf, line); - std::cout << "DOING: " << line << std::endl; - int cnt=1; - while(libsf.good()){ - std::stringstream libcodfn; - libcodfn << "_cuobjdump_complete_lib_" << cnt << "_"; - cmd.str(""); //resetting - cmd << "$CUDA_INSTALL_PATH/bin/cuobjdump -ptx -elf -sass "; - cmd << line; - cmd << " > "; - cmd << libcodfn.str(); - std::cout << "Running cuobjdump on " << line << std::endl; - std::cout << "Using command: " << cmd.str() << std::endl; - result = system(cmd.str().c_str()); - if(result) {printf("ERROR: Failed to execute: %s\n", command); exit(1);} - std::cout << "Done" << std::endl; + std::string line; + std::getline(libsf, line); + std::cout << "DOING: " << line << std::endl; + int cnt=1; + while(libsf.good()){ + std::stringstream libcodfn; + libcodfn << "_cuobjdump_complete_lib_" << cnt << "_"; + cmd.str(""); //resetting + cmd << "$CUDA_INSTALL_PATH/bin/cuobjdump -ptx -elf -sass "; + cmd << line; + cmd << " > "; + cmd << libcodfn.str(); + std::cout << "Running cuobjdump on " << line << std::endl; + std::cout << "Using command: " << cmd.str() << std::endl; + result = system(cmd.str().c_str()); + if(result) {printf("ERROR: Failed to execute: %s\n", command); exit(1);} + std::cout << "Done" << std::endl; - std::cout << "Trying to parse " << libcodfn << std::endl; - cuobjdump_in = fopen(libcodfn.str().c_str(), "r"); - cuobjdump_parse(); - fclose(cuobjdump_in); - std::getline(libsf, line); - } - libSectionList = cuobjdumpSectionList; + std::cout << "Trying to parse " << libcodfn.str() << std::endl; + cuobjdump_in = fopen(libcodfn.str().c_str(), "r"); + cuobjdump_parse(); + fclose(cuobjdump_in); + std::getline(libsf, line); + } + libSectionList = cuobjdumpSectionList; - //Restore the original section list - cuobjdumpSectionList = tmpsl; - } + //Restore the original section list + cuobjdumpSectionList = tmpsl; + } + } else { + printf("GPGPU-Sim PTX: overriding cuobjdump with '%s' (CUOBJDUMP_SIM_FILE is set)\n", override_cuobjdump); + snprintf(fname,1024, "%s",override_cuobjdump); + } } //! Read file into char* @@ -1552,7 +2378,7 @@ std::list<cuobjdumpSection*> pruneSectionList(std::list<cuobjdumpSection*> cuobj //! Merge all PTX sections that have a specific identifier into one file std::list<cuobjdumpSection*> mergeMatchingSections(std::list<cuobjdumpSection*> cuobjdumpSectionList, std::string identifier){ - char *ptxcode = ""; + const char *ptxcode = ""; std::list<cuobjdumpSection*>::iterator old_iter; cuobjdumpPTXSection* old_ptxsection = NULL; cuobjdumpPTXSection* ptxsection; @@ -1692,8 +2518,11 @@ cuobjdumpPTXSection* findPTXSection(const std::string identifier){ void cuobjdumpInit(){ CUctx_st *context = GPGPUSim_Context(); extract_code_using_cuobjdump(); //extract all the output of cuobjdump to _cuobjdump_*.* - cuobjdumpSectionList = pruneSectionList(cuobjdumpSectionList, context); - cuobjdumpSectionList = mergeSections(cuobjdumpSectionList); + const char* pre_load = getenv("CUOBJDUMP_SIM_FILE"); + if (pre_load ==NULL || strlen(pre_load)==0){ + cuobjdumpSectionList = pruneSectionList(cuobjdumpSectionList, context); + cuobjdumpSectionList = mergeSections(cuobjdumpSectionList); + } } std::map<int, std::string> fatbinmap; @@ -1701,7 +2530,7 @@ std::map<int, bool>fatbin_registered; std::map<std::string, symbol_table*> name_symtab; //! Keep track of the association between filename and cubin handle -void cuobjdumpRegisterFatBinary(unsigned int handle, char* filename){ +void cuobjdumpRegisterFatBinary(unsigned int handle, const char* filename){ fatbinmap[handle] = filename; } @@ -1718,6 +2547,33 @@ void cuobjdumpParseBinary(unsigned int handle){ context->add_binary(symtab, handle); return; } + symbol_table *symtab; + +#if (CUDART_VERSION >= 6000) + //loops through all ptx files from smallest sm version to largest + std::map<unsigned,std::set<std::string> >::iterator itr_m; + for (itr_m = version_filename.begin(); itr_m!=version_filename.end(); itr_m++){ + std::set<std::string>::iterator itr_s; + for (itr_s = itr_m->second.begin(); itr_s!=itr_m->second.end(); itr_s++){ + std::string ptx_filename = *itr_s; + printf("GPGPU-Sim PTX: Parsing %s\n",ptx_filename.c_str()); + symtab = gpgpu_ptx_sim_load_ptx_from_filename( ptx_filename.c_str() ); + } + } + name_symtab[fname] = symtab; + context->add_binary(symtab, handle); + load_static_globals(symtab,STATIC_ALLOC_LIMIT,0xFFFFFFFF,context->get_device()->get_gpgpu()); + load_constants(symtab,STATIC_ALLOC_LIMIT,context->get_device()->get_gpgpu()); + for (itr_m = version_filename.begin(); itr_m!=version_filename.end(); itr_m++){ + std::set<std::string>::iterator itr_s; + for (itr_s = itr_m->second.begin(); itr_s!=itr_m->second.end(); itr_s++){ + std::string ptx_filename = *itr_s; + printf("GPGPU-Sim PTX: Loading PTXInfo from %s\n",ptx_filename.c_str()); + gpgpu_ptx_info_load_from_filename( ptx_filename.c_str(), itr_m->first ); + } + } + return; +#endif unsigned max_capability = 0; for ( std::list<cuobjdumpSection*>::iterator iter = cuobjdumpSectionList.begin(); @@ -1727,12 +2583,15 @@ void cuobjdumpParseBinary(unsigned int handle){ if (capability > max_capability) max_capability = capability; } if (max_capability > 20) printf("WARNING: No guarantee that PTX will be parsed for SM version %u\n", max_capability); + if (max_capability == 0) max_capability=context->get_device()->get_gpgpu()->get_config().get_forced_max_capability(); - cuobjdumpPTXSection* ptx = findPTXSection(fname); - symbol_table *symtab; + cuobjdumpPTXSection* ptx = NULL; + const char* pre_load = getenv("CUOBJDUMP_SIM_FILE"); + if(pre_load==NULL || strlen(pre_load)==0) + ptx = findPTXSection(fname); char *ptxcode; const char *override_ptx_name = getenv("PTX_SIM_KERNELFILE"); - if (override_ptx_name == NULL or getenv("PTX_SIM_USE_PTX_FILE") == NULL) { + if (override_ptx_name == NULL or getenv("PTX_SIM_USE_PTX_FILE") == NULL or strlen(getenv("PTX_SIM_USE_PTX_FILE"))==0) { ptxcode = readfile(ptx->getPTXfilename()); } else { printf("GPGPU-Sim PTX: overriding embedded ptx with '%s' (PTX_SIM_USE_PTX_FILE is set)\n", override_ptx_name); @@ -1752,7 +2611,8 @@ void cuobjdumpParseBinary(unsigned int handle){ delete[] ptxplus_str; } else { symtab=gpgpu_ptx_sim_load_ptx_from_string(ptxcode, handle); - printf("Adding %s with cubin handle %u\n", ptx->getPTXfilename().c_str(), handle); + //if CUOBJDUMP_SIM_FILE is not set, ptx is NULL. So comment below. + //printf("Adding %s with cubin handle %u\n", ptx->getPTXfilename().c_str(), handle); context->add_binary(symtab, handle); gpgpu_ptxinfo_load_from_string( ptxcode, handle, max_capability ); } @@ -1765,6 +2625,9 @@ void cuobjdumpParseBinary(unsigned int handle){ void** CUDARTAPI __cudaRegisterFatBinary( void *fatCubin ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } #if (CUDART_VERSION < 2010) printf("GPGPU-Sim PTX: ERROR ** this version of GPGPU-Sim requires CUDA 2.1 or higher\n"); exit(1); @@ -1776,21 +2639,39 @@ void** CUDARTAPI __cudaRegisterFatBinary( void *fatCubin ) if (sizeof(void*) == 4) printf("GPGPU-Sim PTX: FatBin file name extraction has not been tested on 32-bit system.\n"); - // FatBin handle from the .fatbin.c file (one of the intermediate files generated by NVCC) - typedef struct {int m; int v; const unsigned long long* d; char* f;} __fatDeviceText __attribute__ ((aligned (8))); - __fatDeviceText * fatDeviceText = (__fatDeviceText *) fatCubin; + // This code will get the CUDA version the app was compiled with. + // We need this to determine how to handle the parsing of the binary. + // Making this a runtime variable based on the app, enables GPGPU-Sim compiled + // with a newer version of CUDA to run apps compiled with older versions of + // CUDA. This is especially useful for PTXPLUS execution. + //Skip cuda version check for pytorch application + std::string app_binary_path = get_app_binary(); + int pos = app_binary_path.find("python"); + if (pos==std::string::npos){ + // Not pytorch app : checking cuda version + int app_cuda_version = get_app_cuda_version(); + assert( app_cuda_version == CUDART_VERSION / 1000 && "The app must be compiled with same major version as the simulator." ); + } + + //int app_cuda_version = get_app_cuda_version(); + //assert( app_cuda_version == CUDART_VERSION / 1000 && "The app must be compiled with same major version as the simulator." ); + const char* filename; +#if CUDART_VERSION < 6000 + // FatBin handle from the .fatbin.c file (one of the intermediate files generated by NVCC) + typedef struct {int m; int v; const unsigned long long* d; char* f;} __fatDeviceText __attribute__ ((aligned (8))); + __fatDeviceText * fatDeviceText = (__fatDeviceText *) fatCubin; + + // Extract the source code file name that generate the given FatBin. + // - Obtains the pointer to the actual fatbin structure from the FatBin handle (fatCubin). + // - An integer inside the fatbin structure contains the relative offset to the source code file name. + // - This offset differs among different CUDA and GCC versions. + char * pfatbin = (char*) fatDeviceText->d; + int offset = *((int*)(pfatbin+48)); + filename = (pfatbin+16+offset); +#else + filename = "default"; +#endif - // Extract the source code file name that generate the given FatBin. - // - Obtains the pointer to the actual fatbin structure from the FatBin handle (fatCubin). - // - An integer inside the fatbin structure contains the relative offset to the source code file name. - // - This offset differs among different CUDA and GCC versions. - #if (CUDART_VERSION <= 6000) - char * pfatbin = (char*) fatDeviceText->d; - int offset = *((int*)(pfatbin+48)); - char * filename = (pfatbin+16+offset); - #else - char * filename = "default"; - #endif // The extracted file name is associated with a fat_cubin_handle passed // into cudaLaunch(). Inside cudaLaunch(), the associated file name is // used to find the PTX/SASS section from cuobjdump, which contains the @@ -1810,7 +2691,7 @@ void** CUDARTAPI __cudaRegisterFatBinary( void *fatCubin ) return (void**)fat_cubin_handle; } - #if (CUDART_VERSION < 8000) +#if (CUDART_VERSION < 8000) else { static unsigned source_num=1; unsigned long long fat_cubin_handle = next_fat_bin_handle++; @@ -1868,23 +2749,60 @@ void** CUDARTAPI __cudaRegisterFatBinary( void *fatCubin ) } return (void**)fat_cubin_handle; } - #endif +#else + else { + printf("ERROR ** __cudaRegisterFatBinary() needs to be updated\n"); + abort(); + } +#endif } void __cudaUnregisterFatBinary(void **fatCubinHandle) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } ; } cudaError_t cudaDeviceReset ( void ) { // Should reset the simulated GPU + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } return g_last_cudaError = cudaSuccess; } cudaError_t CUDARTAPI cudaDeviceSynchronize(void){ - // I don't know what this should do + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + //Blocks until the device has completed all preceding requested tasks + synchronize(); return g_last_cudaError = cudaSuccess; } +void CUDARTAPI __cudaRegisterFatBinaryEnd( void **fatCubinHandle ) +{ + +} + +unsigned CUDARTAPI __cudaPushCallConfiguration(dim3 gridDim, + dim3 blockDim, + size_t sharedMem = 0, + struct CUstream_st *stream = 0) +{ + +} + +cudaError_t CUDARTAPI __cudaPopCallConfiguration( + dim3 *gridDim, + dim3 *blockDim, + size_t *sharedMem, + void *stream +) +{ + return g_last_cudaError = cudaSuccess; +} void CUDARTAPI __cudaRegisterFunction( void **fatCubinHandle, @@ -1898,6 +2816,9 @@ void CUDARTAPI __cudaRegisterFunction( dim3 *gDim ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUctx_st *context = GPGPUSim_Context(); unsigned fat_cubin_handle = (unsigned)(unsigned long long)fatCubinHandle; printf("GPGPU-Sim PTX: __cudaRegisterFunction %s : hostFun 0x%p, fat_cubin_handle = %u\n", @@ -1917,6 +2838,9 @@ extern void __cudaRegisterVar( int constant, int global ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } printf("GPGPU-Sim PTX: __cudaRegisterVar: hostVar = %p; deviceAddress = %s; deviceName = %s\n", hostVar, deviceAddress, deviceName); printf("GPGPU-Sim PTX: __cudaRegisterVar: Registering const memory space of %d bytes\n", size); if(GPGPUSim_Context()->get_device()->get_gpgpu()->get_config().use_cuobjdump()) @@ -1935,6 +2859,9 @@ void __cudaRegisterShared( void **devicePtr ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } // we don't do anything here printf("GPGPU-Sim PTX: __cudaRegisterShared\n" ); } @@ -1947,6 +2874,9 @@ void CUDARTAPI __cudaRegisterSharedVar( int storage ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } // we don't do anything here printf("GPGPU-Sim PTX: __cudaRegisterSharedVar\n" ); } @@ -1961,6 +2891,9 @@ void __cudaRegisterTexture( int ext ) //passes in a newly created textureReference { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } std::string devStr (deviceName); #if (CUDART_VERSION > 4020) if (devStr.size() > 2 && devStr.data()[0] == ':' && devStr.data()[1] == ':') @@ -1976,12 +2909,28 @@ void __cudaRegisterTexture( printf("GPGPU-Sim PTX: Execution warning: Not finished implementing \"%s\"\n", __my_func__ ); } + +char __cudaInitModule( + void **fatCubinHandle +) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cuda_not_implemented(__my_func__,__LINE__); + return g_last_cudaError = cudaErrorUnknown; +} + + #ifndef OPENGL_SUPPORT typedef unsigned long GLuint; #endif cudaError_t cudaGLRegisterBufferObject(GLuint bufferObj) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } printf("GPGPU-Sim PTX: Execution warning: ignoring call to \"%s\"\n", __my_func__ ); return g_last_cudaError = cudaSuccess; } @@ -1998,6 +2947,9 @@ glbmap_entry_t* g_glbmap = NULL; cudaError_t cudaGLMapBufferObject(void** devPtr, GLuint bufferObj) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } #ifdef OPENGL_SUPPORT GLint buffer_size=0; CUctx_st* ctx = GPGPUSim_Context(); @@ -2051,6 +3003,9 @@ cudaError_t cudaGLMapBufferObject(void** devPtr, GLuint bufferObj) cudaError_t cudaGLUnmapBufferObject(GLuint bufferObj) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } #ifdef OPENGL_SUPPORT glbmap_entry_t *p = g_glbmap; while ( p && p->m_bufferObj != bufferObj ) @@ -2075,6 +3030,9 @@ cudaError_t cudaGLUnmapBufferObject(GLuint bufferObj) cudaError_t cudaGLUnregisterBufferObject(GLuint bufferObj) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } printf("GPGPU-Sim PTX: Execution warning: ignoring call to \"%s\"\n", __my_func__ ); return g_last_cudaError = cudaSuccess; } @@ -2083,7 +3041,13 @@ cudaError_t cudaGLUnregisterBufferObject(GLuint bufferObj) cudaError_t CUDARTAPI cudaHostAlloc(void **pHost, size_t bytes, unsigned int flags) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } *pHost = malloc(bytes); + //need to track the size allocated so that cudaHostGetDevicePointer() can function properly. + //TODO: vary this function behavior based on flags value (following nvidia documentation) + pinned_memory_size[*pHost]=bytes; if( *pHost ) return g_last_cudaError = cudaSuccess; else @@ -2092,18 +3056,83 @@ cudaError_t CUDARTAPI cudaHostAlloc(void **pHost, size_t bytes, unsigned int fl cudaError_t CUDARTAPI cudaHostGetDevicePointer(void **pDevice, void *pHost, unsigned int flags) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + //only cpu memory allocation happens in cudaHostAlloc. Linking with device pointer to pinned memory happens here. + //TODO: once kernel is executed, the contents in global pointer of GPU must be copied back to CPU host pointer! + flags=0; + CUctx_st* context = GPGPUSim_Context(); + gpgpu_t *gpu = context->get_device()->get_gpgpu(); + std::map<void *, size_t>::const_iterator i = pinned_memory_size.find(pHost); + assert(i != pinned_memory_size.end()); + size_t size = i->second; + *pDevice = gpu->gpu_malloc(size); + if(g_debug_execution >= 3){ + printf("GPGPU-Sim PTX: cudaMallocing %zu bytes starting at 0x%llx..\n",size, (unsigned long long) *pDevice); + g_mallocPtr_Size[(unsigned long long)*pDevice] = size; + } + if ( *pDevice ) { + pinned_memory[pHost]=pDevice; + //Copy contents in cpu to gpu + gpu->memcpy_to_gpu((size_t)*pDevice,pHost,size); + return g_last_cudaError = cudaSuccess; + } else { + return g_last_cudaError = cudaErrorMemoryAllocation; + } +} + +__host__ cudaError_t CUDARTAPI cudaPointerGetAttributes( + cudaPointerAttributes *attributes, + const void *ptr +) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cuda_not_implemented(__my_func__,__LINE__); + return g_last_cudaError = cudaErrorUnknown; +} + +__host__ cudaError_t CUDARTAPI cudaDeviceCanAccessPeer( + int *canAccessPeer, + int device, + int peerDevice +) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cuda_not_implemented(__my_func__,__LINE__); + return g_last_cudaError = cudaErrorUnknown; +} + +__host__ cudaError_t CUDARTAPI cudaDeviceEnablePeerAccess( + int peerDevice, + unsigned int flags +) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } cudaError_t CUDARTAPI cudaSetValidDevices(int *device_arr, int len) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } cudaError_t CUDARTAPI cudaSetDeviceFlags( int flags ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } // This flag is implicitly always on (unless you are using the driver API). It is safe for GPGPU-Sim to // just ignore it. if ( cudaDeviceMapHost == flags ) { @@ -2122,14 +3151,20 @@ size_t getMaxThreadsPerBlock(struct cudaFuncAttributes *attr) { size_t max = prop.maxThreadsPerBlock; - if ((prop.regsPerBlock / attr->numRegs) < max) + if (attr->numRegs && (prop.regsPerBlock / attr->numRegs) < max) max = prop.regsPerBlock / attr->numRegs; + if (attr->sharedSizeBytes && (prop.sharedMemPerBlock / attr->sharedSizeBytes) < max) + max = prop.sharedMemPerBlock / attr->sharedSizeBytes; + return max; } cudaError_t CUDARTAPI cudaFuncGetAttributes(struct cudaFuncAttributes *attr, const char *hostFun ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUctx_st *context = GPGPUSim_Context(); function_info *entry = context->get_kernel(hostFun); if( entry ) { @@ -2152,6 +3187,9 @@ cudaError_t CUDARTAPI cudaFuncGetAttributes(struct cudaFuncAttributes *attr, con cudaError_t CUDARTAPI cudaEventCreateWithFlags(cudaEvent_t *event, int flags) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUevent_st *e = new CUevent_st(flags==cudaEventBlockingSync); g_timer_events[e->get_uid()] = e; #if CUDART_VERSION >= 3000 @@ -2164,19 +3202,28 @@ cudaError_t CUDARTAPI cudaEventCreateWithFlags(cudaEvent_t *event, int flags) cudaError_t CUDARTAPI cudaDriverGetVersion(int *driverVersion) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } *driverVersion = CUDART_VERSION; - return g_last_cudaError = cudaErrorUnknown; + return g_last_cudaError = cudaSuccess; } cudaError_t CUDARTAPI cudaRuntimeGetVersion(int *runtimeVersion) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } *runtimeVersion = CUDART_VERSION; - return g_last_cudaError = cudaErrorUnknown; + return g_last_cudaError = cudaSuccess; } #if CUDART_VERSION >= 3000 __host__ cudaError_t CUDARTAPI cudaFuncSetCacheConfig(const char *func, enum cudaFuncCache cacheConfig ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } CUctx_st *context = GPGPUSim_Context(); context->get_device()->get_gpgpu()->set_cache_config(context->get_kernel(func)->get_name(), (FuncCache)cacheConfig); return g_last_cudaError = cudaSuccess; @@ -2184,14 +3231,39 @@ __host__ cudaError_t CUDARTAPI cudaFuncSetCacheConfig(const char *func, enum cud //Jin: hack for cdp __host__ cudaError_t CUDARTAPI cudaDeviceSetLimit(enum cudaLimit limit, size_t value) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } return g_last_cudaError = cudaSuccess; } + +#if CUDART_VERSION >= 9000 +__host__ cudaError_t cudaFuncSetAttribute ( const void* func, enum cudaFuncAttribute attr, int value ) { + + //ignore this Attribute for now, and the default is that carveout = cudaSharedmemCarveoutDefault; // (-1) + return g_last_cudaError = cudaSuccess; +} + +#if CUDART_VERSION >= 9020 +__host__ __device__ unsigned __cudaPushCallConfiguration(dim3 gridDim, dim3 blockDim, + size_t sharedMem = 0, + void *stream = 0) { + + return 1; +} +#endif + +#endif + #endif #endif cudaError_t CUDARTAPI cudaGLSetGLDevice(int device) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } printf("GPGPU-Sim PTX: Execution warning: ignoring call to \"%s\"\n", __my_func__ ); return g_last_cudaError = cudaErrorUnknown; } @@ -2200,17 +3272,26 @@ typedef void* HGPUNV; cudaError_t CUDARTAPI cudaWGLGetDevice(int *device, HGPUNV hGpu) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); return g_last_cudaError = cudaErrorUnknown; } void CUDARTAPI __cudaMutexOperation(int lock) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); } void CUDARTAPI __cudaTextureFetch(const void *tex, void *index, int integer, void *val) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); } @@ -2220,16 +3301,25 @@ namespace cuda_math { void CUDARTAPI __cudaMutexOperation(int lock) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); } void CUDARTAPI __cudaTextureFetch(const void *tex, void *index, int integer, void *val) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } cuda_not_implemented(__my_func__,__LINE__); } int CUDARTAPI __cudaSynchronizeThreads(void**, void*) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } //TODO This function should syncronize if we support Asyn kernel calls return g_last_cudaError = cudaSuccess; } @@ -2250,6 +3340,9 @@ extern FILE *ptxinfo_in; static int load_static_globals( symbol_table *symtab, unsigned min_gaddr, unsigned max_gaddr, gpgpu_t *gpu ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } printf( "GPGPU-Sim PTX: loading globals with explicit initializers... \n" ); fflush(stdout); int ng_bytes=0; @@ -2286,6 +3379,9 @@ static int load_static_globals( symbol_table *symtab, unsigned min_gaddr, unsign static int load_constants( symbol_table *symtab, addr_t min_gaddr, gpgpu_t *gpu ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } printf( "GPGPU-Sim PTX: loading constants with explicit initializers... " ); fflush(stdout); int nc_bytes = 0; @@ -2333,8 +3429,16 @@ kernel_info_t *gpgpu_cuda_ptx_sim_init_grid( const char *hostFun, struct dim3 blockDim, CUctx_st* context ) { + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } function_info *entry = context->get_kernel(hostFun); - kernel_info_t *result = new kernel_info_t(gridDim,blockDim,entry); + gpgpu_t* gpu= context->get_device()->get_gpgpu(); + /* + Passing a snapshot of the GPU's current texture mapping to the kernel's info + as kernels should use texture bindings present at the time of their launch. + */ + kernel_info_t *result = new kernel_info_t(gridDim,blockDim,entry,gpu->getNameArrayMapping(),gpu->getNameInfoMapping()); if( entry == NULL ) { printf("GPGPU-Sim PTX: ERROR launching kernel -- no PTX implementation found for %p\n", hostFun); abort(); @@ -2349,6 +3453,2990 @@ kernel_info_t *gpgpu_cuda_ptx_sim_init_grid( const char *hostFun, entry->finalize(result->get_param_memory()); g_ptx_kernel_count++; fflush(stdout); + + if(g_debug_execution >= 4){ + entry->ptx_jit_config(g_mallocPtr_Size, result->get_param_memory(), (gpgpu_t *) context->get_device()->get_gpgpu(), gridDim, blockDim); + } return result; } + +/******************************************************************************* + * * + * * + * * + *******************************************************************************/ +//***extra api for pytorch*** + +CUresult CUDAAPI cuGetErrorString(CUresult error, const char **pStr) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuGetErrorName(CUresult error, const char **pStr) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuInit(unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuDriverGetVersion(int *driverVersion) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cudaError_t e = cudaDriverGetVersion(driverVersion); + assert(e == cudaSuccess); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuDeviceGet(CUdevice *device, int ordinal) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + int deviceI = -1; + cudaError_t e = cudaGetDevice(&deviceI); + assert(e == cudaSuccess); + assert(deviceI!=-1); + *device = deviceI; + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuDeviceGetCount(int *count) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cudaError_t e = cudaGetDeviceCount(count); + assert(e == cudaSuccess); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuDeviceGetName(char *name, int len, CUdevice dev) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + assert(len>=10); + strcpy(name, "GPGPU-Sim"); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuDeviceTotalMem(size_t *bytes, CUdevice dev) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + *bytes = 20000000000;//dummy value + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ +#if (CUDART_VERSION > 5000) +CUresult CUDAAPI cuDeviceGetAttribute(int *pi, CUdevice_attribute attrib, CUdevice dev) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cudaError_t e = cudaDeviceGetAttribute(pi, (cudaDeviceAttr)attrib, dev); + assert(e == cudaSuccess); + + return CUDA_SUCCESS; +} +#endif +CUresult CUDAAPI cuDeviceGetProperties(CUdevprop *prop, CUdevice dev) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuDeviceComputeCapability(int *major, int *minor, CUdevice dev) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 7000 + +CUresult CUDAAPI cuDevicePrimaryCtxRetain(CUcontext *pctx, CUdevice dev) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuDevicePrimaryCtxRelease(CUdevice dev) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuDevicePrimaryCtxSetFlags(CUdevice dev, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuDevicePrimaryCtxGetState(CUdevice dev, unsigned int *flags, int *active) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuDevicePrimaryCtxReset(CUdevice dev) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#endif /* CUDART_VERSION >= 7000 */ + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuCtxCreate(CUcontext *pctx, unsigned int flags, CUdevice dev) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ + +#if CUDART_VERSION >= 4000 +CUresult CUDAAPI cuCtxDestroy(CUcontext ctx) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 4000 */ + +#if CUDART_VERSION >= 4000 +CUresult CUDAAPI cuCtxPushCurrent(CUcontext ctx) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxPopCurrent(CUcontext *pctx) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxSetCurrent(CUcontext ctx) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxGetCurrent(CUcontext *pctx) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 4000 */ + +CUresult CUDAAPI cuCtxGetDevice(CUdevice *device) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 7000 +CUresult CUDAAPI cuCtxGetFlags(unsigned int *flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 7000 */ + +CUresult CUDAAPI cuCtxSynchronize(void) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxSetLimit(CUlimit limit, size_t value) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxGetLimit(size_t *pvalue, CUlimit limit) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxGetCacheConfig(CUfunc_cache *pconfig) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxSetCacheConfig(CUfunc_cache config) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 4020 +CUresult CUDAAPI cuCtxGetSharedMemConfig(CUsharedconfig *pConfig) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxSetSharedMemConfig(CUsharedconfig config) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif + +CUresult CUDAAPI cuCtxGetApiVersion(CUcontext ctx, unsigned int *version) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxGetStreamPriorityRange(int *leastPriority, int *greatestPriority) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxAttach(CUcontext *pctx, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxDetach(CUcontext ctx) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuModuleLoad(CUmodule *module, const char *fname) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuModuleLoadData(CUmodule *module, const void *image) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuModuleLoadDataEx(CUmodule *module, const void *image, unsigned int numOptions, CUjit_option *options, void **optionValues) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuModuleLoadFatBinary(CUmodule *module, const void *fatCubin) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuModuleUnload(CUmodule hmod) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuModuleGetFunction(CUfunction *hfunc, CUmodule hmod, const char *name) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuModuleGetGlobal(CUdeviceptr *dptr, size_t *bytes, CUmodule hmod, const char *name) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ + +CUresult CUDAAPI cuModuleGetTexRef(CUtexref *pTexRef, CUmodule hmod, const char *name) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuModuleGetSurfRef(CUsurfref *pSurfRef, CUmodule hmod, const char *name) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 6050 + +CUresult CUDAAPI +cuLinkCreate(unsigned int numOptions, CUjit_option *options, void **optionValues, CUlinkState *stateOut) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + //currently do not support options or multiple CUlinkStates + return CUDA_SUCCESS; +} + +CUresult CUDAAPI +cuLinkAddData(CUlinkState state, CUjitInputType type, void *data, size_t size, const char *name, + unsigned int numOptions, CUjit_option *options, void **optionValues) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + assert(type==CU_JIT_INPUT_PTX); + cuda_not_implemented(__my_func__,__LINE__); + return CUDA_ERROR_UNKNOWN; +} + +CUresult CUDAAPI +cuLinkAddFile(CUlinkState state, CUjitInputType type, const char *path, + unsigned int numOptions, CUjit_option *options, void **optionValues) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + static bool addedFile = false; + if (addedFile){ + printf("GPGPU-Sim PTX: ERROR: cuLinkAddFile does not support multiple files\n"); + abort(); + } + + //blocking + assert(type==CU_JIT_INPUT_PTX); + CUctx_st *context = GPGPUSim_Context(); + char *file = getenv("PTX_JIT_PATH"); + if(file==NULL){ + printf("GPGPU-Sim PTX: ERROR: PTX_JIT_PATH has not been set\n"); + abort(); + } + strcat(file,"/"); + strcat(file,path); + symbol_table *symtab = gpgpu_ptx_sim_load_ptx_from_filename( file ); + std::string fname(path); + name_symtab[fname] = symtab; + context->add_binary(symtab, 1); + load_static_globals(symtab,STATIC_ALLOC_LIMIT,0xFFFFFFFF,context->get_device()->get_gpgpu()); + load_constants(symtab,STATIC_ALLOC_LIMIT,context->get_device()->get_gpgpu()); + addedFile = true; + return CUDA_SUCCESS; +} +#endif + +#if CUDART_VERSION >= 5050 + +CUresult CUDAAPI +cuLinkComplete(CUlinkState state, void **cubinOut, size_t *sizeOut) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + //all cuLink* function are implemented to block until completion so nothing to do here + return CUDA_SUCCESS; +} + +CUresult CUDAAPI +cuLinkDestroy(CUlinkState state) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + //currently do not support options or multiple CUlinkStates + return CUDA_SUCCESS; +} + +#endif /* CUDART_VERSION >= 5050 */ + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuMemGetInfo(size_t *free, size_t *total) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemAlloc(CUdeviceptr *dptr, size_t bytesize) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemAllocPitch(CUdeviceptr *dptr, size_t *pPitch, size_t WidthInBytes, size_t Height, unsigned int ElementSizeBytes) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemFree(CUdeviceptr dptr) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemGetAddressRange(CUdeviceptr *pbase, size_t *psize, CUdeviceptr dptr) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemAllocHost(void **pp, size_t bytesize) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ + +CUresult CUDAAPI cuMemFreeHost(void *p) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemHostAlloc(void **pp, size_t bytesize, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuMemHostGetDevicePointer(CUdeviceptr *pdptr, void *p, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ + +CUresult CUDAAPI cuMemHostGetFlags(unsigned int *pFlags, void *p) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 6000 + +CUresult CUDAAPI cuMemAllocManaged(CUdeviceptr *dptr, size_t bytesize, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#endif /* CUDART_VERSION >= 6000 */ + +#if CUDART_VERSION >= 4010 + +CUresult CUDAAPI cuDeviceGetByPCIBusId(CUdevice *dev, const char *pciBusId) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuDeviceGetPCIBusId(char *pciBusId, int len, CUdevice dev) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuIpcGetEventHandle(CUipcEventHandle *pHandle, CUevent event) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuIpcOpenEventHandle(CUevent *phEvent, CUipcEventHandle handle) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuIpcGetMemHandle(CUipcMemHandle *pHandle, CUdeviceptr dptr) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuIpcOpenMemHandle(CUdeviceptr *pdptr, CUipcMemHandle handle, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuIpcCloseMemHandle(CUdeviceptr dptr) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#endif /* CUDART_VERSION >= 4010 */ + +#if CUDART_VERSION >= 6050 +CUresult CUDAAPI cuMemHostRegister(void *p, size_t bytesize, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +__host__ cudaError_t cudaHostRegister(void* ptr, size_t size, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return g_last_cudaError = cudaSuccess; +} + +__host__ cudaError_t cudaProfilerStart ( ) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return g_last_cudaError = cudaSuccess; +} + +__host__ cudaError_t cudaProfilerStop ( ) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return g_last_cudaError = cudaSuccess; +} + +#endif +#if CUDART_VERSION >= 4000 + +CUresult CUDAAPI cuMemHostUnregister(void *p) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpy(CUdeviceptr dst, CUdeviceptr src, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyPeer(CUdeviceptr dstDevice, CUcontext dstContext, CUdeviceptr srcDevice, CUcontext srcContext, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#endif /* CUDART_VERSION >= 4000 */ + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuMemcpyHtoD(CUdeviceptr dstDevice, const void *srcHost, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyDtoH(void *dstHost, CUdeviceptr srcDevice, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyDtoD(CUdeviceptr dstDevice, CUdeviceptr srcDevice, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyDtoA(CUarray dstArray, size_t dstOffset, CUdeviceptr srcDevice, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyAtoD(CUdeviceptr dstDevice, CUarray srcArray, size_t srcOffset, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyHtoA(CUarray dstArray, size_t dstOffset, const void *srcHost, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyAtoH(void *dstHost, CUarray srcArray, size_t srcOffset, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyAtoA(CUarray dstArray, size_t dstOffset, CUarray srcArray, size_t srcOffset, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpy2D(const CUDA_MEMCPY2D *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpy2DUnaligned(const CUDA_MEMCPY2D *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpy3D(const CUDA_MEMCPY3D *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ + +#if CUDART_VERSION >= 4000 +CUresult CUDAAPI cuMemcpy3DPeer(const CUDA_MEMCPY3D_PEER *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyAsync(CUdeviceptr dst, CUdeviceptr src, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyPeerAsync(CUdeviceptr dstDevice, CUcontext dstContext, CUdeviceptr srcDevice, CUcontext srcContext, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 4000 */ + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuMemcpyHtoDAsync(CUdeviceptr dstDevice, const void *srcHost, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyDtoHAsync(void *dstHost, CUdeviceptr srcDevice, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyDtoDAsync(CUdeviceptr dstDevice, CUdeviceptr srcDevice, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyHtoAAsync(CUarray dstArray, size_t dstOffset, const void *srcHost, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpyAtoHAsync(void *dstHost, CUarray srcArray, size_t srcOffset, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpy2DAsync(const CUDA_MEMCPY2D *pCopy, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemcpy3DAsync(const CUDA_MEMCPY3D *pCopy, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ + +#if CUDART_VERSION >= 4000 +CUresult CUDAAPI cuMemcpy3DPeerAsync(const CUDA_MEMCPY3D_PEER *pCopy, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 4000 */ + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuMemsetD8(CUdeviceptr dstDevice, unsigned char uc, size_t N) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemsetD16(CUdeviceptr dstDevice, unsigned short us, size_t N) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemsetD32(CUdeviceptr dstDevice, unsigned int ui, size_t N) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemsetD2D8(CUdeviceptr dstDevice, size_t dstPitch, unsigned char uc, size_t Width, size_t Height) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemsetD2D16(CUdeviceptr dstDevice, size_t dstPitch, unsigned short us, size_t Width, size_t Height) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemsetD2D32(CUdeviceptr dstDevice, size_t dstPitch, unsigned int ui, size_t Width, size_t Height) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemsetD8Async(CUdeviceptr dstDevice, unsigned char uc, size_t N, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemsetD16Async(CUdeviceptr dstDevice, unsigned short us, size_t N, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemsetD32Async(CUdeviceptr dstDevice, unsigned int ui, size_t N, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemsetD2D8Async(CUdeviceptr dstDevice, size_t dstPitch, unsigned char uc, size_t Width, size_t Height, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemsetD2D16Async(CUdeviceptr dstDevice, size_t dstPitch, unsigned short us, size_t Width, size_t Height, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemsetD2D32Async(CUdeviceptr dstDevice, size_t dstPitch, unsigned int ui, size_t Width, size_t Height, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuArrayCreate(CUarray *pHandle, const CUDA_ARRAY_DESCRIPTOR *pAllocateArray) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuArrayGetDescriptor(CUDA_ARRAY_DESCRIPTOR *pArrayDescriptor, CUarray hArray) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ + + +CUresult CUDAAPI cuArrayDestroy(CUarray hArray) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuArray3DCreate(CUarray *pHandle, const CUDA_ARRAY3D_DESCRIPTOR *pAllocateArray) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuArray3DGetDescriptor(CUDA_ARRAY3D_DESCRIPTOR *pArrayDescriptor, CUarray hArray) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ + +#if CUDART_VERSION >= 5000 + +CUresult CUDAAPI cuMipmappedArrayCreate(CUmipmappedArray *pHandle, const CUDA_ARRAY3D_DESCRIPTOR *pMipmappedArrayDesc, unsigned int numMipmapLevels) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMipmappedArrayGetLevel(CUarray *pLevelArray, CUmipmappedArray hMipmappedArray, unsigned int level) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMipmappedArrayDestroy(CUmipmappedArray hMipmappedArray) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#endif /* CUDART_VERSION >= 5000 */ + +/** @} */ /* END CUDA_MEM */ + + +#if CUDART_VERSION >= 4000 +CUresult CUDAAPI cuPointerGetAttribute(void *data, CUpointer_attribute attribute, CUdeviceptr ptr) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 4000 */ + +#if CUDART_VERSION >= 8000 +__host__ cudaError_t CUDARTAPI cudaCreateTextureObject ( cudaTextureObject_t* pTexObject, const cudaResourceDesc* pResDesc, const cudaTextureDesc* pTexDesc, const cudaResourceViewDesc* pResViewDesc ) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cuda_not_implemented(__my_func__,__LINE__); + return g_last_cudaError = cudaSuccess; + +} + +CUresult CUDAAPI cuMemPrefetchAsync(CUdeviceptr devPtr, size_t count, CUdevice dstDevice, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemAdvise(CUdeviceptr devPtr, size_t count, CUmem_advise advice, CUdevice device) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemRangeGetAttribute(void *data, size_t dataSize, CUmem_range_attribute attribute, CUdeviceptr devPtr, size_t count) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuMemRangeGetAttributes(void **data, size_t *dataSizes, CUmem_range_attribute *attributes, size_t numAttributes, CUdeviceptr devPtr, size_t count) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 8000 */ + +#if CUDART_VERSION >= 6000 +CUresult CUDAAPI cuPointerSetAttribute(const void *value, CUpointer_attribute attribute, CUdeviceptr ptr) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 6000 */ + +#if CUDART_VERSION >= 7000 +CUresult CUDAAPI cuPointerGetAttributes(unsigned int numAttributes, CUpointer_attribute *attributes, void **data, CUdeviceptr ptr) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 7000 */ + +/** @} */ /* END CUDA_UNIFIED */ + + +CUresult CUDAAPI cuStreamCreate(CUstream *phStream, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuStreamCreateWithPriority(CUstream *phStream, unsigned int flags, int priority) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + + +CUresult CUDAAPI cuStreamGetPriority(CUstream hStream, int *priority) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuStreamGetFlags(CUstream hStream, unsigned int *flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + + +CUresult CUDAAPI cuStreamWaitEvent(CUstream hStream, CUevent hEvent, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuStreamAddCallback(CUstream hStream, CUstreamCallback callback, void *userData, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 6000 + +CUresult CUDAAPI cuStreamAttachMemAsync(CUstream hStream, CUdeviceptr dptr, size_t length, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#endif /* CUDART_VERSION >= 6000 */ + +CUresult CUDAAPI cuStreamQuery(CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuStreamSynchronize(CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 4000 +CUresult CUDAAPI cuStreamDestroy(CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 4000 */ + +/** @} */ /* END CUDA_STREAM */ + + + +CUresult CUDAAPI cuEventCreate(CUevent *phEvent, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuEventRecord(CUevent hEvent, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuEventQuery(CUevent hEvent) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuEventSynchronize(CUevent hEvent) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 4000 +CUresult CUDAAPI cuEventDestroy(CUevent hEvent) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 4000 */ + +CUresult CUDAAPI cuEventElapsedTime(float *pMilliseconds, CUevent hStart, CUevent hEnd) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 8000 +CUresult CUDAAPI cuStreamWaitValue32(CUstream stream, CUdeviceptr addr, cuuint32_t value, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuStreamWriteValue32(CUstream stream, CUdeviceptr addr, cuuint32_t value, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuStreamBatchMemOp(CUstream stream, unsigned int count, CUstreamBatchMemOpParams *paramArray, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 8000 */ + +/** @} */ /* END CUDA_EVENT */ + + +CUresult CUDAAPI cuFuncGetAttribute(int *pi, CUfunction_attribute attrib, CUfunction hfunc) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuFuncSetCacheConfig(CUfunction hfunc, CUfunc_cache config) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 4020 +CUresult CUDAAPI cuFuncSetSharedMemConfig(CUfunction hfunc, CUsharedconfig config) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif + +#if CUDART_VERSION >= 4000 +CUresult CUDAAPI cuLaunchKernel(CUfunction f, + unsigned int gridDimX, + unsigned int gridDimY, + unsigned int gridDimZ, + unsigned int blockDimX, + unsigned int blockDimY, + unsigned int blockDimZ, + unsigned int sharedMemBytes, + CUstream hStream, + void **kernelParams, + void **extra) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + if (extra!=NULL){ + printf("GPGPU-Sim CUDA DRIVER API: ERROR: Currently do not support void** extra.\n"); + abort(); + } + const char *hostFun = (const char*) f; + CUctx_st *context = GPGPUSim_Context(); + function_info *entry = context->get_kernel(hostFun); + cudaConfigureCall(dim3(gridDimX, gridDimY, gridDimZ), dim3(blockDimX, blockDimY, blockDimZ), sharedMemBytes, (cudaStream_t) hStream); + for(unsigned i = 0; i < entry->num_args(); i++){ + std::pair<size_t, unsigned> p = entry->get_param_config(i); + cudaSetupArgument(kernelParams[i], p.first, p.second); + } + cudaLaunch(hostFun); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 4000 */ + +/** @} */ /* END CUDA_EXEC */ + + +CUresult CUDAAPI cuFuncSetBlockShape(CUfunction hfunc, int x, int y, int z) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuFuncSetSharedSize(CUfunction hfunc, unsigned int bytes) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuParamSetSize(CUfunction hfunc, unsigned int numbytes) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuParamSeti(CUfunction hfunc, int offset, unsigned int value) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuParamSetf(CUfunction hfunc, int offset, float value) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuParamSetv(CUfunction hfunc, int offset, void *ptr, unsigned int numbytes) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuLaunch(CUfunction f) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuLaunchGrid(CUfunction f, int grid_width, int grid_height) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuLaunchGridAsync(CUfunction f, int grid_width, int grid_height, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + + +CUresult CUDAAPI cuParamSetTexRef(CUfunction hfunc, int texunit, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +/** @} */ /* END CUDA_EXEC_DEPRECATED */ + + +#if CUDART_VERSION >= 6050 + +CUresult CUDAAPI cuOccupancyMaxActiveBlocksPerMultiprocessor(int *numBlocks, CUfunction func, int blockSize, size_t dynamicSMemSize) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags(int *numBlocks, CUfunction func, int blockSize, size_t dynamicSMemSize, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuOccupancyMaxPotentialBlockSize(int *minGridSize, int *blockSize, CUfunction func, CUoccupancyB2DSize blockSizeToDynamicSMemSize, size_t dynamicSMemSize, int blockSizeLimit) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuOccupancyMaxPotentialBlockSizeWithFlags(int *minGridSize, int *blockSize, CUfunction func, CUoccupancyB2DSize blockSizeToDynamicSMemSize, size_t dynamicSMemSize, int blockSizeLimit, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +/** @} */ /* END CUDA_OCCUPANCY */ +#endif /* CUDART_VERSION >= 6050 */ + +CUresult CUDAAPI cuTexRefSetArray(CUtexref hTexRef, CUarray hArray, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefSetMipmappedArray(CUtexref hTexRef, CUmipmappedArray hMipmappedArray, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuTexRefSetAddress(size_t *ByteOffset, CUtexref hTexRef, CUdeviceptr dptr, size_t bytes) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefSetAddress2D(CUtexref hTexRef, const CUDA_ARRAY_DESCRIPTOR *desc, CUdeviceptr dptr, size_t Pitch) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ + +CUresult CUDAAPI cuTexRefSetFormat(CUtexref hTexRef, CUarray_format fmt, int NumPackedComponents) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefSetAddressMode(CUtexref hTexRef, int dim, CUaddress_mode am) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefSetFilterMode(CUtexref hTexRef, CUfilter_mode fm) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefSetMipmapFilterMode(CUtexref hTexRef, CUfilter_mode fm) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefSetMipmapLevelBias(CUtexref hTexRef, float bias) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefSetMipmapLevelClamp(CUtexref hTexRef, float minMipmapLevelClamp, float maxMipmapLevelClamp) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefSetMaxAnisotropy(CUtexref hTexRef, unsigned int maxAniso) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefSetBorderColor(CUtexref hTexRef, float *pBorderColor) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefSetFlags(CUtexref hTexRef, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuTexRefGetAddress(CUdeviceptr *pdptr, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ + +CUresult CUDAAPI cuTexRefGetArray(CUarray *phArray, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefGetMipmappedArray(CUmipmappedArray *phMipmappedArray, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefGetAddressMode(CUaddress_mode *pam, CUtexref hTexRef, int dim) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefGetFilterMode(CUfilter_mode *pfm, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefGetFormat(CUarray_format *pFormat, int *pNumChannels, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefGetMipmapFilterMode(CUfilter_mode *pfm, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefGetMipmapLevelBias(float *pbias, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefGetMipmapLevelClamp(float *pminMipmapLevelClamp, float *pmaxMipmapLevelClamp, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefGetMaxAnisotropy(int *pmaxAniso, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefGetBorderColor(float *pBorderColor, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefGetFlags(unsigned int *pFlags, CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefCreate(CUtexref *pTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexRefDestroy(CUtexref hTexRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuSurfRefSetArray(CUsurfref hSurfRef, CUarray hArray, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuSurfRefGetArray(CUarray *phArray, CUsurfref hSurfRef) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +/** @} */ /* END CUDA_SURFREF */ + +#if CUDART_VERSION >= 5000 +CUresult CUDAAPI cuTexObjectCreate(CUtexObject *pTexObject, const CUDA_RESOURCE_DESC *pResDesc, const CUDA_TEXTURE_DESC *pTexDesc, const CUDA_RESOURCE_VIEW_DESC *pResViewDesc) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexObjectDestroy(CUtexObject texObject) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexObjectGetResourceDesc(CUDA_RESOURCE_DESC *pResDesc, CUtexObject texObject) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexObjectGetTextureDesc(CUDA_TEXTURE_DESC *pTexDesc, CUtexObject texObject) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuTexObjectGetResourceViewDesc(CUDA_RESOURCE_VIEW_DESC *pResViewDesc, CUtexObject texObject) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +/** @} */ /* END CUDA_TEXOBJECT */ + + +CUresult CUDAAPI cuSurfObjectCreate(CUsurfObject *pSurfObject, const CUDA_RESOURCE_DESC *pResDesc) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuSurfObjectDestroy(CUsurfObject surfObject) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuSurfObjectGetResourceDesc(CUDA_RESOURCE_DESC *pResDesc, CUsurfObject surfObject) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#endif /* CUDART_VERSION >= 5000 */ + +#if CUDART_VERSION >= 4000 +CUresult CUDAAPI cuDeviceCanAccessPeer(int *canAccessPeer, CUdevice dev, CUdevice peerDev) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuDeviceGetP2PAttribute(int* value, CUdevice_P2PAttribute attrib, CUdevice srcDevice, CUdevice dstDevice) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxEnablePeerAccess(CUcontext peerContext, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuCtxDisablePeerAccess(CUcontext peerContext) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +/** @} */ /* END CUDA_PEER_ACCESS */ +#endif /* CUDART_VERSION >= 4000 */ + + +CUresult CUDAAPI cuGraphicsUnregisterResource(CUgraphicsResource resource) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuGraphicsSubResourceGetMappedArray(CUarray *pArray, CUgraphicsResource resource, unsigned int arrayIndex, unsigned int mipLevel) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#if CUDART_VERSION >= 5000 + +CUresult CUDAAPI cuGraphicsResourceGetMappedMipmappedArray(CUmipmappedArray *pMipmappedArray, CUgraphicsResource resource) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +#endif /* CUDART_VERSION >= 5000 */ + +#if CUDART_VERSION >= 3020 +CUresult CUDAAPI cuGraphicsResourceGetMappedPointer(CUdeviceptr *pDevPtr, size_t *pSize, CUgraphicsResource resource) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION >= 3020 */ + +CUresult CUDAAPI cuGraphicsResourceSetMapFlags(CUgraphicsResource resource, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuGraphicsMapResources(unsigned int count, CUgraphicsResource *resources, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +CUresult CUDAAPI cuGraphicsUnmapResources(unsigned int count, CUgraphicsResource *resources, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +/** @} */ /* END CUDA_GRAPHICS */ + +CUresult CUDAAPI cuGetExportTable(const void **ppExportTable, const CUuuid *pExportTableId) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + cudaError_t e = cudaGetExportTable(ppExportTable, pExportTableId); + assert(e == cudaSuccess); + return CUDA_SUCCESS; +} + + +#if defined(CUDART_VERSION_INTERNAL) || (CUDART_VERSION >= 4000 && CUDART_VERSION < 6050) +CUresult CUDAAPI cuMemHostRegister(void *p, size_t bytesize, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* defined(CUDART_VERSION_INTERNAL) || (CUDART_VERSION >= 4000 && CUDART_VERSION < 6050) */ + +#if defined(CUDART_VERSION_INTERNAL) || (CUDART_VERSION >= 5050 && CUDART_VERSION < 6050) +CUresult CUDAAPI cuLinkCreate(unsigned int numOptions, CUjit_option *options, void **optionValues, CUlinkState *stateOut) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +CUresult CUDAAPI cuLinkAddData(CUlinkState state, CUjitInputType type, void *data, size_t size, const char *name, + unsigned int numOptions, CUjit_option *options, void **optionValues) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +CUresult CUDAAPI cuLinkAddFile(CUlinkState state, CUjitInputType type, const char *path, + unsigned int numOptions, CUjit_option *options, void **optionValues) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION_INTERNAL || (CUDART_VERSION >= 5050 && CUDART_VERSION < 6050) */ + +#if defined(CUDART_VERSION_INTERNAL) || (CUDART_VERSION >= 3020 && CUDART_VERSION < 4010) +CUresult CUDAAPI cuTexRefSetAddress2D_v2(CUtexref hTexRef, const CUDA_ARRAY_DESCRIPTOR *desc, CUdeviceptr dptr, size_t Pitch) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION_INTERNAL || (CUDART_VERSION >= 3020 && CUDART_VERSION < 4010) */ + +#if defined(CUDART_VERSION_INTERNAL) || CUDART_VERSION < 4000 +CUresult CUDAAPI cuCtxDestroy(CUcontext ctx) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +CUresult CUDAAPI cuCtxPopCurrent(CUcontext *pctx) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +CUresult CUDAAPI cuCtxPushCurrent(CUcontext ctx) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +CUresult CUDAAPI cuStreamDestroy(CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +CUresult CUDAAPI cuEventDestroy(CUevent hEvent) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif /* CUDART_VERSION_INTERNAL || CUDART_VERSION < 4000 */ + +#if defined(CUDART_VERSION_INTERNAL) + CUresult CUDAAPI cuMemcpyHtoD_v2(CUdeviceptr dstDevice, const void *srcHost, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyDtoH_v2(void *dstHost, CUdeviceptr srcDevice, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyDtoD_v2(CUdeviceptr dstDevice, CUdeviceptr srcDevice, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyDtoA_v2(CUarray dstArray, size_t dstOffset, CUdeviceptr srcDevice, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyAtoD_v2(CUdeviceptr dstDevice, CUarray srcArray, size_t srcOffset, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyHtoA_v2(CUarray dstArray, size_t dstOffset, const void *srcHost, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyAtoH_v2(void *dstHost, CUarray srcArray, size_t srcOffset, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyAtoA_v2(CUarray dstArray, size_t dstOffset, CUarray srcArray, size_t srcOffset, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyHtoAAsync_v2(CUarray dstArray, size_t dstOffset, const void *srcHost, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyAtoHAsync_v2(void *dstHost, CUarray srcArray, size_t srcOffset, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpy2D_v2(const CUDA_MEMCPY2D *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpy2DUnaligned_v2(const CUDA_MEMCPY2D *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpy3D_v2(const CUDA_MEMCPY3D *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyHtoDAsync_v2(CUdeviceptr dstDevice, const void *srcHost, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyDtoHAsync_v2(void *dstHost, CUdeviceptr srcDevice, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyDtoDAsync_v2(CUdeviceptr dstDevice, CUdeviceptr srcDevice, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpy2DAsync_v2(const CUDA_MEMCPY2D *pCopy, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpy3DAsync_v2(const CUDA_MEMCPY3D *pCopy, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemsetD8_v2(CUdeviceptr dstDevice, unsigned char uc, size_t N) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemsetD16_v2(CUdeviceptr dstDevice, unsigned short us, size_t N) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemsetD32_v2(CUdeviceptr dstDevice, unsigned int ui, size_t N) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemsetD2D8_v2(CUdeviceptr dstDevice, size_t dstPitch, unsigned char uc, size_t Width, size_t Height) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemsetD2D16_v2(CUdeviceptr dstDevice, size_t dstPitch, unsigned short us, size_t Width, size_t Height) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemsetD2D32_v2(CUdeviceptr dstDevice, size_t dstPitch, unsigned int ui, size_t Width, size_t Height) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpy(CUdeviceptr dst, CUdeviceptr src, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyAsync(CUdeviceptr dst, CUdeviceptr src, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyPeer(CUdeviceptr dstDevice, CUcontext dstContext, CUdeviceptr srcDevice, CUcontext srcContext, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpyPeerAsync(CUdeviceptr dstDevice, CUcontext dstContext, CUdeviceptr srcDevice, CUcontext srcContext, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpy3DPeer(const CUDA_MEMCPY3D_PEER *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemcpy3DPeerAsync(const CUDA_MEMCPY3D_PEER *pCopy, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + + CUresult CUDAAPI cuMemsetD8Async(CUdeviceptr dstDevice, unsigned char uc, size_t N, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemsetD16Async(CUdeviceptr dstDevice, unsigned short us, size_t N, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemsetD32Async(CUdeviceptr dstDevice, unsigned int ui, size_t N, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemsetD2D8Async(CUdeviceptr dstDevice, size_t dstPitch, unsigned char uc, size_t Width, size_t Height, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemsetD2D16Async(CUdeviceptr dstDevice, size_t dstPitch, unsigned short us, size_t Width, size_t Height, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemsetD2D32Async(CUdeviceptr dstDevice, size_t dstPitch, unsigned int ui, size_t Width, size_t Height, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + + CUresult CUDAAPI cuStreamGetPriority(CUstream hStream, int *priority) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuStreamGetFlags(CUstream hStream, unsigned int *flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuStreamWaitEvent(CUstream hStream, CUevent hEvent, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuStreamAddCallback(CUstream hStream, CUstreamCallback callback, void *userData, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuStreamAttachMemAsync(CUstream hStream, CUdeviceptr dptr, size_t length, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuStreamQuery(CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuStreamSynchronize(CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuEventRecord(CUevent hEvent, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuLaunchKernel(CUfunction f, unsigned int gridDimX, unsigned int gridDimY, unsigned int gridDimZ, unsigned int blockDimX, unsigned int blockDimY, unsigned int blockDimZ, unsigned int sharedMemBytes, CUstream hStream, void **kernelParams, void **extra) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuGraphicsMapResources(unsigned int count, CUgraphicsResource *resources, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuGraphicsUnmapResources(unsigned int count, CUgraphicsResource *resources, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuMemPrefetchAsync(CUdeviceptr devPtr, size_t count, CUdevice dstDevice, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuStreamWriteValue32(CUstream stream, CUdeviceptr addr, cuuint32_t value, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuStreamWaitValue32(CUstream stream, CUdeviceptr addr, cuuint32_t value, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + CUresult CUDAAPI cuStreamBatchMemOp(CUstream stream, unsigned int count, CUstreamBatchMemOpParams *paramArray, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +#endif + +CUresult cuProfilerInitialize ( const char* configFile, const char* outputFile, CUoutput_mode outputMode ) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +CUresult cuProfilerStart ( void ) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +CUresult cuProfilerStop ( void ) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +//_ptds + +extern "C" CUresult CUDAAPI cuMemcpy_ptds(CUdeviceptr dst, CUdeviceptr src, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +extern "C" CUresult CUDAAPI cuMemcpyPeer_ptds(CUdeviceptr dstDevice, CUcontext dstContext, CUdeviceptr srcDevice, CUcontext srcContext, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + + extern "C" CUresult CUDAAPI cuMemcpyHtoD_v2_ptds(CUdeviceptr dstDevice, const void *srcHost, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpyDtoH_v2_ptds(void *dstHost, CUdeviceptr srcDevice, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpyDtoD_v2_ptds(CUdeviceptr dstDevice, CUdeviceptr srcDevice, size_t ByteCount) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpy2DUnaligned_v2_ptds(const CUDA_MEMCPY2D *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpy3D_v2_ptds(const CUDA_MEMCPY3D *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpy3DPeer_ptds(const CUDA_MEMCPY3D_PEER *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +extern "C" CUresult CUDAAPI cuMemsetD8_v2_ptds(CUdeviceptr dstDevice, unsigned char uc, unsigned int N) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +extern "C" CUresult CUDAAPI cuMemsetD16_v2_ptds(CUdeviceptr dstDevice, unsigned short us, unsigned int N) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +extern "C" CUresult CUDAAPI cuMemsetD32_v2_ptds(CUdeviceptr dstDevice, unsigned int ui, unsigned int N) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +extern "C" CUresult CUDAAPI cuMemsetD2D8_v2_ptds(CUdeviceptr dstDevice, unsigned int dstPitch, unsigned char uc, unsigned int Width, unsigned int Height) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +extern "C" CUresult CUDAAPI cuMemsetD2D16_v2_ptds(CUdeviceptr dstDevice, unsigned int dstPitch, unsigned short us, unsigned int Width, unsigned int Height) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +extern "C" CUresult CUDAAPI cuMemsetD2D32_v2_ptds(CUdeviceptr dstDevice, unsigned int dstPitch, unsigned int ui, unsigned int Width, unsigned int Height) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +//_ptsz +extern "C" CUresult CUDAAPI cuMemcpy3DPeer_ptsz(const CUDA_MEMCPY3D_PEER *pCopy) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +extern "C" CUresult CUDAAPI cuMemcpyAsync_ptsz(CUdeviceptr dst, CUdeviceptr src, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +extern "C" CUresult CUDAAPI cuMemcpyPeerAsync_ptsz(CUdeviceptr dstDevice, CUcontext dstContext, CUdeviceptr srcDevice, CUcontext srcContext, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpyHtoAAsync_v2_ptsz(CUarray dstArray, size_t dstOffset, const void *srcHost, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpyAtoHAsync_v2_ptsz(void *dstHost, CUarray srcArray, size_t srcOffset, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpyHtoDAsync_v2_ptsz(CUdeviceptr dstDevice, const void *srcHost, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpyDtoHAsync_v2_ptsz(void *dstHost, CUdeviceptr srcDevice, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpyDtoDAsync_v2_ptsz(CUdeviceptr dstDevice, CUdeviceptr srcDevice, size_t ByteCount, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpy2DAsync_v2_ptsz(const CUDA_MEMCPY2D *pCopy, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpy3DAsync_v2_ptsz(const CUDA_MEMCPY3D *pCopy, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemcpy3DPeerAsync_ptsz(const CUDA_MEMCPY3D_PEER *pCopy, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + + extern "C" CUresult CUDAAPI cuMemsetD8Async_ptsz(CUdeviceptr dstDevice, unsigned char uc, size_t N, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuMemsetD2D8Async_ptsz(CUdeviceptr dstDevice, size_t dstPitch, unsigned char uc, size_t Width, size_t Height, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuLaunchKernel_ptsz(CUfunction f, unsigned int gridDimX, unsigned int gridDimY, unsigned int gridDimZ, unsigned int blockDimX, unsigned int blockDimY, unsigned int blockDimZ, unsigned int sharedMemBytes, CUstream hStream, void **kernelParams, void **extra) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuEventRecord_ptsz(CUevent hEvent, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuStreamWriteValue32_ptsz(CUstream stream, CUdeviceptr addr, cuuint32_t value, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuStreamWaitValue32_ptsz(CUstream stream, CUdeviceptr addr, cuuint32_t value, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + extern "C" CUresult CUDAAPI cuStreamBatchMemOp_ptsz(CUstream stream, unsigned int count, CUstreamBatchMemOpParams *paramArray, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +extern "C" CUresult CUDAAPI cuStreamGetPriority_ptsz(CUstream hStream, int *priority) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +extern "C" CUresult CUDAAPI cuStreamGetFlags_ptsz(CUstream hStream, unsigned int *flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + + +extern "C" CUresult CUDAAPI cuStreamWaitEvent_ptsz(CUstream hStream, CUevent hEvent, unsigned int Flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +extern "C" CUresult CUDAAPI cuStreamAddCallback_ptsz(CUstream hStream, CUstreamCallback callback, void *userData, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +extern "C" CUresult CUDAAPI cuStreamSynchronize_ptsz(CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + + extern "C" CUresult CUDAAPI cuStreamQuery_ptsz(CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} +extern "C" CUresult CUDAAPI cuStreamAttachMemAsync_ptsz(CUstream hStream, CUdeviceptr dptr, size_t length, unsigned int flags) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + +extern "C" CUresult CUDAAPI cuGraphicsMapResources_ptsz(unsigned int count, CUgraphicsResource *resources, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + + +extern "C" CUresult CUDAAPI cuGraphicsUnmapResources_ptsz(unsigned int count, CUgraphicsResource *resources, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} + + extern "C" CUresult CUDAAPI cuMemPrefetchAsync_ptsz(CUdeviceptr devPtr, size_t count, CUdevice dstDevice, CUstream hStream) +{ + if(g_debug_execution >= 3){ + announce_call(__my_func__); + } + printf("WARNING: this function has not been implemented yet."); + return CUDA_SUCCESS; +} |