cuda.cpp
#include "HalideRuntimeCuda.h"
#include "device_buffer_utils.h"
#include "device_interface.h"
#include "printer.h"
#include "mini_cuda.h"
#define INLINE inline __attribute__((always_inline))
namespace Halide { namespace Runtime { namespace Internal { namespace Cuda {
// Define the function pointers for the CUDA API.
#define CUDA_FN(ret, fn, args) WEAK ret (CUDAAPI *fn)args;
#define CUDA_FN_3020(ret, fn, fn_3020, args) WEAK ret (CUDAAPI *fn)args;
#define CUDA_FN_4000(ret, fn, fn_4000, args) WEAK ret (CUDAAPI *fn)args;
#include "cuda_functions.h"
// The default implementation of halide_cuda_get_symbol attempts to load
// the CUDA shared library/DLL, and then get the symbol from it.
WEAK void *lib_cuda = NULL;
extern "C" WEAK void *halide_cuda_get_symbol(void *user_context, const char *name) {
// Only try to load the library if we can't already get the symbol
// from the library. Even if the library is NULL, the symbols may
// already be available in the process.
void *symbol = halide_get_library_symbol(lib_cuda, name);
if (symbol) {
return symbol;
}
const char *lib_names[] = {
#ifdef WINDOWS
"nvcuda.dll",
#else
"libcuda.so",
"libcuda.dylib",
"/Library/Frameworks/CUDA.framework/CUDA",
#endif
};
for (size_t i = 0; i < sizeof(lib_names) / sizeof(lib_names[0]); i++) {
lib_cuda = halide_load_library(lib_names[i]);
if (lib_cuda) {
debug(user_context) << " Loaded CUDA runtime library: " << lib_names[i] << "\n";
break;
}
}
return halide_get_library_symbol(lib_cuda, name);
}
template <typename T>
INLINE T get_cuda_symbol(void *user_context, const char *name) {
T s = (T)halide_cuda_get_symbol(user_context, name);
if (!s) {
error(user_context) << "CUDA API not found: " << name << "\n";
}
return s;
}
// Load a CUDA shared object/dll and get the CUDA API function pointers from it.
WEAK void load_libcuda(void *user_context) {
debug(user_context) << " load_libcuda (user_context: " << user_context << ")\n";
halide_assert(user_context, cuInit == NULL);
#define CUDA_FN(ret, fn, args) fn = get_cuda_symbol<ret (CUDAAPI *)args>(user_context, #fn);
#define CUDA_FN_3020(ret, fn, fn_3020, args) fn = get_cuda_symbol<ret (CUDAAPI *)args>(user_context, #fn_3020);
#define CUDA_FN_4000(ret, fn, fn_4000, args) fn = get_cuda_symbol<ret (CUDAAPI *)args>(user_context, #fn_4000);
#include "cuda_functions.h"
}
extern WEAK halide_device_interface_t cuda_device_interface;
WEAK const char *get_error_name(CUresult error);
WEAK CUresult create_cuda_context(void *user_context, CUcontext *ctx);
// A cuda context defined in this module with weak linkage
CUcontext WEAK context = 0;
volatile int WEAK thread_lock = 0;
}}}} // namespace Halide::Runtime::Internal::Cuda
using namespace Halide::Runtime::Internal;
using namespace Halide::Runtime::Internal::Cuda;
extern "C" {
// The default implementation of halide_cuda_acquire_context uses the global
// pointers above, and serializes access with a spin lock.
// Overriding implementations of acquire/release must implement the following
// behavior:
// - halide_cuda_acquire_context should always store a valid context/command
// queue in ctx/q, or return an error code.
// - A call to halide_cuda_acquire_context is followed by a matching call to
// halide_cuda_release_context. halide_cuda_acquire_context should block while a
// previous call (if any) has not yet been released via halide_cuda_release_context.
WEAK int halide_cuda_acquire_context(void *user_context, CUcontext *ctx, bool create = true) {
// TODO: Should we use a more "assertive" assert? these asserts do
// not block execution on failure.
halide_assert(user_context, ctx != NULL);
halide_assert(user_context, &thread_lock != NULL);
while (__sync_lock_test_and_set(&thread_lock, 1)) { }
// If the context has not been initialized, initialize it now.
halide_assert(user_context, &context != NULL);
if (context == NULL && create) {
CUresult error = create_cuda_context(user_context, &context);
if (error != CUDA_SUCCESS) {
__sync_lock_release(&thread_lock);
return error;
}
}
*ctx = context;
return 0;
}
WEAK int halide_cuda_release_context(void *user_context) {
__sync_lock_release(&thread_lock);
return 0;
}
} // extern "C"
namespace Halide { namespace Runtime { namespace Internal { namespace Cuda {
// Helper object to acquire and release the cuda context.
class Context {
void *user_context;
public:
CUcontext context;
int error;
// Constructor sets 'error' if any occurs.
Context(void *user_context) : user_context(user_context),
context(NULL),
error(CUDA_SUCCESS) {
if (cuInit == NULL) {
load_libcuda(user_context);
}
#ifdef DEBUG_RUNTIME
halide_start_clock(user_context);
#endif
error = halide_cuda_acquire_context(user_context, &context);
halide_assert(user_context, context != NULL);
if (error != 0) {
return;
}
error = cuCtxPushCurrent(context);
}
~Context() {
CUcontext old;
cuCtxPopCurrent(&old);
halide_cuda_release_context(user_context);
}
};
// Structure to hold the state of a module attached to the context.
// Also used as a linked-list to keep track of all the different
// modules that are attached to a context in order to release them all
// when then context is released.
struct module_state {
CUmodule module;
module_state *next;
};
WEAK module_state *state_list = NULL;
WEAK CUresult create_cuda_context(void *user_context, CUcontext *ctx) {
// Initialize CUDA
CUresult err = cuInit(0);
if (err != CUDA_SUCCESS) {
error(user_context) << "CUDA: cuInit failed: "
<< get_error_name(err);
return err;
}
// Make sure we have a device
int deviceCount = 0;
err = cuDeviceGetCount(&deviceCount);
if (err != CUDA_SUCCESS) {
error(user_context) << "CUDA: cuGetDeviceCount failed: "
<< get_error_name(err);
return err;
}
if (deviceCount <= 0) {
halide_error(user_context, "CUDA: No devices available");
return CUDA_ERROR_NO_DEVICE;
}
int device = halide_get_gpu_device(user_context);
if (device == -1 && deviceCount == 1) {
device = 0;
} else if (device == -1) {
debug(user_context) << "CUDA: Multiple CUDA devices detected. Selecting the one with the most cores.\n";
int best_core_count = 0;
for (int i = 0; i < deviceCount; i++) {
CUdevice dev;
CUresult status = cuDeviceGet(&dev, i);
if (status != CUDA_SUCCESS) {
debug(user_context) << " Failed to get device " << i << "\n";
continue;
}
int core_count = 0;
status = cuDeviceGetAttribute(&core_count, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT, dev);
debug(user_context) << " Device " << i << " has " << core_count << " cores\n";
if (status != CUDA_SUCCESS) {
continue;
}
if (core_count >= best_core_count) {
device = i;
best_core_count = core_count;
}
}
}
// Get device
CUdevice dev;
CUresult status = cuDeviceGet(&dev, device);
if (status != CUDA_SUCCESS) {
halide_error(user_context, "CUDA: Failed to get device\n");
return status;
}
debug(user_context) << " Got device " << dev << "\n";
// Dump device attributes
#ifdef DEBUG_RUNTIME
{
char name[256];
name[0] = 0;
err = cuDeviceGetName(name, 256, dev);
debug(user_context) << " " << name << "\n";
if (err != CUDA_SUCCESS) {
error(user_context) << "CUDA: cuDeviceGetName failed: "
<< get_error_name(err);
return err;
}
size_t memory = 0;
err = cuDeviceTotalMem(&memory, dev);
debug(user_context) << " total memory: " << (int)(memory >> 20) << " MB\n";
if (err != CUDA_SUCCESS) {
error(user_context) << "CUDA: cuDeviceTotalMem failed: "
<< get_error_name(err);
return err;
}
// Declare variables for other state we want to query.
int max_threads_per_block = 0, warp_size = 0, num_cores = 0;
int max_block_size[] = {0, 0, 0};
int max_grid_size[] = {0, 0, 0};
int max_shared_mem = 0, max_constant_mem = 0;
int cc_major = 0, cc_minor = 0;
struct {int *dst; CUdevice_attribute attr;} attrs[] = {
{&max_threads_per_block, CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK},
{&warp_size, CU_DEVICE_ATTRIBUTE_WARP_SIZE},
{&num_cores, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT},
{&max_block_size[0], CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X},
{&max_block_size[1], CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y},
{&max_block_size[2], CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z},
{&max_grid_size[0], CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X},
{&max_grid_size[1], CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y},
{&max_grid_size[2], CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z},
{&max_shared_mem, CU_DEVICE_ATTRIBUTE_SHARED_MEMORY_PER_BLOCK},
{&max_constant_mem, CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY},
{&cc_major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR},
{&cc_minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR},
{NULL, CU_DEVICE_ATTRIBUTE_MAX}};
// Do all the queries.
for (int i = 0; attrs[i].dst; i++) {
err = cuDeviceGetAttribute(attrs[i].dst, attrs[i].attr, dev);
if (err != CUDA_SUCCESS) {
error(user_context)
<< "CUDA: cuDeviceGetAttribute failed ("
<< get_error_name(err)
<< ") for attribute " << (int)attrs[i].attr;
return err;
}
}
// threads per core is a function of the compute capability
int threads_per_core = (cc_major == 1 ? 8 :
cc_major == 2 ? (cc_minor == 0 ? 32 : 48) :
cc_major == 3 ? 192 :
cc_major == 5 ? 128 : 0);
debug(user_context)
<< " max threads per block: " << max_threads_per_block << "\n"
<< " warp size: " << warp_size << "\n"
<< " max block size: " << max_block_size[0]
<< " " << max_block_size[1] << " " << max_block_size[2] << "\n"
<< " max grid size: " << max_grid_size[0]
<< " " << max_grid_size[1] << " " << max_grid_size[2] << "\n"
<< " max shared memory per block: " << max_shared_mem << "\n"
<< " max constant memory per block: " << max_constant_mem << "\n"
<< " compute capability " << cc_major << "." << cc_minor << "\n"
<< " cuda cores: " << num_cores << " x " << threads_per_core << " = " << threads_per_core << "\n";
}
#endif
// Create context
debug(user_context) << " cuCtxCreate " << dev << " -> ";
err = cuCtxCreate(ctx, 0, dev);
if (err != CUDA_SUCCESS) {
debug(user_context) << get_error_name(err) << "\n";
error(user_context) << "CUDA: cuCtxCreate failed: "
<< get_error_name(err);
return err;
} else {
unsigned int version = 0;
cuCtxGetApiVersion(*ctx, &version);
debug(user_context) << *ctx << "(" << version << ")\n";
}
// Creation automatically pushes the context, but we'll pop to allow the caller
// to decide when to push.
err = cuCtxPopCurrent(&context);
if (err != CUDA_SUCCESS) {
error(user_context) << "CUDA: cuCtxPopCurrent failed: "
<< get_error_name(err);
return err;
}
return CUDA_SUCCESS;
}
WEAK bool validate_device_pointer(void *user_context, buffer_t* buf, size_t size=0) {
// The technique using cuPointerGetAttribute and CU_POINTER_ATTRIBUTE_CONTEXT
// requires unified virtual addressing is enabled and that is not the case
// for 32-bit processes on Mac OS X. So for now, as a total hack, just return true
// in 32-bit. This could of course be wrong the other way for cards that only
// support 32-bit addressing in 64-bit processes, but I expect those cards do not
// support unified addressing at all.
// TODO: figure out a way to validate pointers in all cases if strictly necessary.
#ifdef BITS_32
return true;
#else
if (buf->dev == 0)
return true;
CUdeviceptr dev_ptr = (CUdeviceptr)halide_get_device_handle(buf->dev);
CUcontext ctx;
CUresult result = cuPointerGetAttribute(&ctx, CU_POINTER_ATTRIBUTE_CONTEXT, dev_ptr);
if (result) {
error(user_context) << "Bad device pointer " << (void *)dev_ptr
<< ": cuPointerGetAttribute returned "
<< get_error_name(result);
return false;
}
return true;
#endif
}
}}}} // namespace Halide::Runtime::Internal
extern "C" {
WEAK int halide_cuda_initialize_kernels(void *user_context, void **state_ptr, const char* ptx_src, int size) {
debug(user_context) << "CUDA: halide_cuda_initialize_kernels (user_context: " << user_context
<< ", state_ptr: " << state_ptr
<< ", ptx_src: " << (void *)ptx_src
<< ", size: " << size << "\n";
Context ctx(user_context);
if (ctx.error != 0) {
return ctx.error;
}
#ifdef DEBUG_RUNTIME
uint64_t t_before = halide_current_time_ns(user_context);
#endif
// Create the state object if necessary. This only happens once, regardless
// of how many times halide_initialize_kernels/halide_release is called.
// halide_release traverses this list and releases the module objects, but
// it does not modify the list nodes created/inserted here.
module_state **state = (module_state**)state_ptr;
if (!(*state)) {
*state = (module_state*)malloc(sizeof(module_state));
(*state)->module = NULL;
(*state)->next = state_list;
state_list = *state;
}
// Create the module itself if necessary.
if (!(*state)->module) {
debug(user_context) << " cuModuleLoadData " << (void *)ptx_src << ", " << size << " -> ";
CUjit_option options[] = { CU_JIT_MAX_REGISTERS };
unsigned int max_regs_per_thread = 64;
// A hack to enable control over max register count for
// testing. This should be surfaced in the schedule somehow
// instead.
char *regs = getenv("HL_CUDA_JIT_MAX_REGISTERS");
if (regs) {
max_regs_per_thread = atoi(regs);
}
void *optionValues[] = { (void*)(uintptr_t) max_regs_per_thread };
CUresult err = cuModuleLoadDataEx(&(*state)->module, ptx_src, 1, options, optionValues);
if (err != CUDA_SUCCESS) {
debug(user_context) << get_error_name(err) << "\n";
error(user_context) << "CUDA: cuModuleLoadData failed: "
<< get_error_name(err);
return err;
} else {
debug(user_context) << (void *)((*state)->module) << "\n";
}
}
#ifdef DEBUG_RUNTIME
uint64_t t_after = halide_current_time_ns(user_context);
debug(user_context) << " Time: " << (t_after - t_before) / 1.0e6 << " ms\n";
#endif
return 0;
}
WEAK int halide_cuda_device_free(void *user_context, buffer_t* buf) {
// halide_device_free, at present, can be exposed to clients and they
// should be allowed to call halide_device_free on any buffer_t
// including ones that have never been used with a GPU.
if (buf->dev == 0) {
return 0;
}
CUdeviceptr dev_ptr = (CUdeviceptr)halide_get_device_handle(buf->dev);
debug(user_context)
<< "CUDA: halide_cuda_device_free (user_context: " << user_context
<< ", buf: " << buf << ")\n";
Context ctx(user_context);
if (ctx.error != CUDA_SUCCESS)
return ctx.error;
#ifdef DEBUG_RUNTIME
uint64_t t_before = halide_current_time_ns(user_context);
#endif
halide_assert(user_context, validate_device_pointer(user_context, buf));
debug(user_context) << " cuMemFree " << (void *)(dev_ptr) << "\n";
CUresult err = cuMemFree(dev_ptr);
// If cuMemFree fails, it isn't likely to succeed later, so just drop
// the reference.
halide_delete_device_wrapper(buf->dev);
buf->dev = 0;
if (err != CUDA_SUCCESS) {
// We may be called as a destructor, so don't raise an error here.
return err;
}
#ifdef DEBUG_RUNTIME
uint64_t t_after = halide_current_time_ns(user_context);
debug(user_context) << " Time: " << (t_after - t_before) / 1.0e6 << " ms\n";
#endif
return 0;
}
WEAK int halide_cuda_device_release(void *user_context) {
debug(user_context)
<< "CUDA: halide_cuda_device_release (user_context: " << user_context << ")\n";
int err;
CUcontext ctx;
err = halide_cuda_acquire_context(user_context, &ctx, false);
if (err != CUDA_SUCCESS) {
return err;
}
if (ctx) {
// It's possible that this is being called from the destructor of
// a static variable, in which case the driver may already be
// shutting down.
err = cuCtxPushCurrent(ctx);
if (err != CUDA_SUCCESS) {
err = cuCtxSynchronize();
}
halide_assert(user_context, err == CUDA_SUCCESS || err == CUDA_ERROR_DEINITIALIZED);
// Unload the modules attached to this context. Note that the list
// nodes themselves are not freed, only the module objects are
// released. Subsequent calls to halide_init_kernels might re-create
// the program object using the same list node to store the module
// object.
module_state *state = state_list;
while (state) {
if (state->module) {
debug(user_context) << " cuModuleUnload " << state->module << "\n";
err = cuModuleUnload(state->module);
halide_assert(user_context, err == CUDA_SUCCESS || err == CUDA_ERROR_DEINITIALIZED);
state->module = 0;
}
state = state->next;
}
CUcontext old_ctx;
cuCtxPopCurrent(&old_ctx);
// Only destroy the context if we own it
if (ctx == context) {
debug(user_context) << " cuCtxDestroy " << context << "\n";
err = cuProfilerStop();
err = cuCtxDestroy(context);
halide_assert(user_context, err == CUDA_SUCCESS || err == CUDA_ERROR_DEINITIALIZED);
context = NULL;
}
}
halide_cuda_release_context(user_context);
return 0;
}
WEAK int halide_cuda_device_malloc(void *user_context, buffer_t *buf) {
debug(user_context)
<< "CUDA: halide_cuda_device_malloc (user_context: " << user_context
<< ", buf: " << buf << ")\n";
Context ctx(user_context);
if (ctx.error != CUDA_SUCCESS) {
return ctx.error;
}
size_t size = buf_size(buf);
halide_assert(user_context, size != 0);
if (buf->dev) {
// This buffer already has a device allocation
halide_assert(user_context, validate_device_pointer(user_context, buf, size));
return 0;
}
halide_assert(user_context, buf->stride[0] >= 0 && buf->stride[1] >= 0 &&
buf->stride[2] >= 0 && buf->stride[3] >= 0);
debug(user_context) << " allocating buffer of " << (uint64_t)size << " bytes, "
<< "extents: "
<< buf->extent[0] << "x"
<< buf->extent[1] << "x"
<< buf->extent[2] << "x"
<< buf->extent[3] << " "
<< "strides: "
<< buf->stride[0] << "x"
<< buf->stride[1] << "x"
<< buf->stride[2] << "x"
<< buf->stride[3] << " "
<< "(" << buf->elem_size << " bytes per element)\n";
#ifdef DEBUG_RUNTIME
uint64_t t_before = halide_current_time_ns(user_context);
#endif
CUdeviceptr p;
debug(user_context) << " cuMemAlloc " << (uint64_t)size << " -> ";
CUresult err = cuMemAlloc(&p, size);
if (err != CUDA_SUCCESS) {
debug(user_context) << get_error_name(err) << "\n";
error(user_context) << "CUDA: cuMemAlloc failed: "
<< get_error_name(err);
return err;
} else {
debug(user_context) << (void *)p << "\n";
}
halide_assert(user_context, p);
buf->dev = halide_new_device_wrapper((uint64_t)p, &cuda_device_interface);
if (buf->dev == 0) {
error(user_context) << "CUDA: out of memory allocating device wrapper.\n";
cuMemFree(p);
return -1;
}
#ifdef DEBUG_RUNTIME
uint64_t t_after = halide_current_time_ns(user_context);
debug(user_context) << " Time: " << (t_after - t_before) / 1.0e6 << " ms\n";
#endif
return 0;
}
WEAK int halide_cuda_copy_to_device(void *user_context, buffer_t* buf) {
debug(user_context)
<< "CUDA: halide_cuda_copy_to_device (user_context: " << user_context
<< ", buf: " << buf << ")\n";
Context ctx(user_context);
if (ctx.error != CUDA_SUCCESS) {
return ctx.error;
}
#ifdef DEBUG_RUNTIME
uint64_t t_before = halide_current_time_ns(user_context);
#endif
halide_assert(user_context, buf->host && buf->dev);
halide_assert(user_context, validate_device_pointer(user_context, buf));
device_copy c = make_host_to_device_copy(buf);
// TODO: Is this 32-bit or 64-bit? Leaving signed for now
// in case negative strides.
for (int w = 0; w < (int)c.extent[3]; w++) {
for (int z = 0; z < (int)c.extent[2]; z++) {
for (int y = 0; y < (int)c.extent[1]; y++) {
for (int x = 0; x < (int)c.extent[0]; x++) {
uint64_t off = (x * c.stride_bytes[0] +
y * c.stride_bytes[1] +
z * c.stride_bytes[2] +
w * c.stride_bytes[3]);
void *src = (void *)(c.src + off);
CUdeviceptr dst = (CUdeviceptr)(c.dst + off);
uint64_t size = c.chunk_size;
debug(user_context) << " cuMemcpyHtoD "
<< "(" << x << ", " << y << ", " << z << ", " << w << "), "
<< src << " -> " << (void *)dst << ", " << size << " bytes\n";
CUresult err = cuMemcpyHtoD(dst, src, size);
if (err != CUDA_SUCCESS) {
error(user_context) << "CUDA: cuMemcpyHtoD failed: "
<< get_error_name(err);
return err;
}
}
}
}
}
#ifdef DEBUG_RUNTIME
uint64_t t_after = halide_current_time_ns(user_context);
debug(user_context) << " Time: " << (t_after - t_before) / 1.0e6 << " ms\n";
#endif
return 0;
}
WEAK int halide_cuda_copy_to_host(void *user_context, buffer_t* buf) {
debug(user_context)
<< "CUDA: halide_cuda_copy_to_host (user_context: " << user_context
<< ", buf: " << buf << ")\n";
Context ctx(user_context);
if (ctx.error != CUDA_SUCCESS) {
return ctx.error;
}
#ifdef DEBUG_RUNTIME
uint64_t t_before = halide_current_time_ns(user_context);
#endif
halide_assert(user_context, buf->dev && buf->dev);
halide_assert(user_context, validate_device_pointer(user_context, buf));
device_copy c = make_device_to_host_copy(buf);
// TODO: Is this 32-bit or 64-bit? Leaving signed for now
// in case negative strides.
for (int w = 0; w < (int)c.extent[3]; w++) {
for (int z = 0; z < (int)c.extent[2]; z++) {
for (int y = 0; y < (int)c.extent[1]; y++) {
for (int x = 0; x < (int)c.extent[0]; x++) {
uint64_t off = (x * c.stride_bytes[0] +
y * c.stride_bytes[1] +
z * c.stride_bytes[2] +
w * c.stride_bytes[3]);
CUdeviceptr src = (CUdeviceptr)(c.src + off);
void *dst = (void *)(c.dst + off);
uint64_t size = c.chunk_size;
debug(user_context) << " cuMemcpyDtoH "
<< "(" << x << ", " << y << ", " << z << ", " << w << "), "
<< (void *)src << " -> " << dst << ", " << size << " bytes\n";
CUresult err = cuMemcpyDtoH(dst, src, size);
if (err != CUDA_SUCCESS) {
error(user_context) << "CUDA: cuMemcpyDtoH failed: "
<< get_error_name(err);
return err;
}
}
}
}
}
#ifdef DEBUG_RUNTIME
uint64_t t_after = halide_current_time_ns(user_context);
debug(user_context) << " Time: " << (t_after - t_before) / 1.0e6 << " ms\n";
#endif
return 0;
}
// Used to generate correct timings when tracing
WEAK int halide_cuda_device_sync(void *user_context, struct buffer_t *) {
debug(user_context)
<< "CUDA: halide_cuda_device_sync (user_context: " << user_context << ")\n";
Context ctx(user_context);
if (ctx.error != CUDA_SUCCESS) {
return ctx.error;
}
#ifdef DEBUG_RUNTIME
uint64_t t_before = halide_current_time_ns(user_context);
#endif
CUresult err = cuCtxSynchronize();
if (err != CUDA_SUCCESS) {
error(user_context) << "CUDA: cuCtxSynchronize failed: "
<< get_error_name(err);
return err;
}
#ifdef DEBUG_RUNTIME
uint64_t t_after = halide_current_time_ns(user_context);
debug(user_context) << " Time: " << (t_after - t_before) / 1.0e6 << " ms\n";
#endif
return 0;
}
WEAK int halide_cuda_run(void *user_context,
void *state_ptr,
const char* entry_name,
int blocksX, int blocksY, int blocksZ,
int threadsX, int threadsY, int threadsZ,
int shared_mem_bytes,
size_t arg_sizes[],
void* args[],
int8_t arg_is_buffer[],
int num_attributes,
float* vertex_buffer,
int num_coords_dim0,
int num_coords_dim1) {
debug(user_context) << "CUDA: halide_cuda_run ("
<< "user_context: " << user_context << ", "
<< "entry: " << entry_name << ", "
<< "blocks: " << blocksX << "x" << blocksY << "x" << blocksZ << ", "
<< "threads: " << threadsX << "x" << threadsY << "x" << threadsZ << ", "
<< "shmem: " << shared_mem_bytes << "\n";
CUresult err;
Context ctx(user_context);
if (ctx.error != CUDA_SUCCESS) {
return ctx.error;
}
debug(user_context) << "Got context.\n";
#ifdef DEBUG_RUNTIME
uint64_t t_before = halide_current_time_ns(user_context);
#endif
halide_assert(user_context, state_ptr);
CUmodule mod = ((module_state*)state_ptr)->module;
debug(user_context) << "Got module " << mod << "\n";
halide_assert(user_context, mod);
CUfunction f;
err = cuModuleGetFunction(&f, mod, entry_name);
debug(user_context) << "Got function " << f << "\n";
if (err != CUDA_SUCCESS) {
error(user_context) << "CUDA: cuModuleGetFunction failed: "
<< get_error_name(err);
return err;
}
size_t num_args = 0;
while (arg_sizes[num_args] != 0) {
debug(user_context) << " halide_cuda_run " << (int)num_args
<< " " << (int)arg_sizes[num_args]
<< " [" << (*((void **)args[num_args])) << " ...] "
<< arg_is_buffer[num_args] << "\n";
num_args++;
}
// We need storage for both the arg and the pointer to it if if
// has to be translated.
void** translated_args = (void **)malloc((num_args + 1) * sizeof(void *));
uint64_t *dev_handles = (uint64_t *)malloc(num_args * sizeof(uint64_t));
for (size_t i = 0; i <= num_args; i++) { // Get NULL at end.
if (arg_is_buffer[i]) {
halide_assert(user_context, arg_sizes[i] == sizeof(uint64_t));
dev_handles[i] = halide_get_device_handle(*(uint64_t *)args[i]);
translated_args[i] = &(dev_handles[i]);
debug(user_context) << " halide_cuda_run translated arg" << (int)i
<< " [" << (*((void **)translated_args[i])) << " ...]\n";
} else {
translated_args[i] = args[i];
}
}
err = cuLaunchKernel(f,
blocksX, blocksY, blocksZ,
threadsX, threadsY, threadsZ,
shared_mem_bytes,
NULL, // stream
translated_args,
NULL);
free(dev_handles);
free(translated_args);
if (err != CUDA_SUCCESS) {
error(user_context) << "CUDA: cuLaunchKernel failed: "
<< get_error_name(err);
return err;
}
#ifdef DEBUG_RUNTIME
err = cuCtxSynchronize();
if (err != CUDA_SUCCESS) {
error(user_context) << "CUDA: cuCtxSynchronize failed: "
<< get_error_name(err);
return err;
}
uint64_t t_after = halide_current_time_ns(user_context);
debug(user_context) << " Time: " << (t_after - t_before) / 1.0e6 << " ms\n";
#endif
return 0;
}
WEAK int halide_cuda_device_and_host_malloc(void *user_context, struct buffer_t *buf) {
return halide_default_device_and_host_malloc(user_context, buf, &cuda_device_interface);
}
WEAK int halide_cuda_device_and_host_free(void *user_context, struct buffer_t *buf) {
return halide_default_device_and_host_free(user_context, buf, &cuda_device_interface);
}
WEAK int halide_cuda_wrap_device_ptr(void *user_context, struct buffer_t *buf, uintptr_t device_ptr) {
halide_assert(user_context, buf->dev == 0);
if (buf->dev != 0) {
return -2;
}
buf->dev = halide_new_device_wrapper(device_ptr, &cuda_device_interface);
if (buf->dev == 0) {
return -1;
}
#if DEBUG_RUNTIME
if (!validate_device_pointer(user_context, buf)) {
halide_delete_device_wrapper(buf->dev);
buf->dev = 0;
return -3;
}
#endif
return 0;
}
WEAK uintptr_t halide_cuda_detach_device_ptr(void *user_context, struct buffer_t *buf) {
if (buf->dev == NULL) {
return 0;
}
halide_assert(user_context, halide_get_device_interface(buf->dev) == &cuda_device_interface);
uint64_t dev_ptr = halide_get_device_handle(buf->dev);
halide_delete_device_wrapper(buf->dev);
buf->dev = 0;
return (uintptr_t)dev_ptr;
}
WEAK uintptr_t halide_cuda_get_device_ptr(void *user_context, struct buffer_t *buf) {
if (buf->dev == NULL) {
return 0;
}
halide_assert(user_context, halide_get_device_interface(buf->dev) == &cuda_device_interface);
uint64_t dev_ptr = halide_get_device_handle(buf->dev);
return (uintptr_t)dev_ptr;
}
WEAK const halide_device_interface_t *halide_cuda_device_interface() {
return &cuda_device_interface;
}
namespace {
__attribute__((destructor))
WEAK void halide_cuda_cleanup() {
halide_cuda_device_release(NULL);
}
}
} // extern "C" linkage
namespace Halide { namespace Runtime { namespace Internal { namespace Cuda {
WEAK const char *get_error_name(CUresult error) {
switch(error) {
case CUDA_SUCCESS: return "CUDA_SUCCESS";
case CUDA_ERROR_INVALID_VALUE: return "CUDA_ERROR_INVALID_VALUE";
case CUDA_ERROR_OUT_OF_MEMORY: return "CUDA_ERROR_OUT_OF_MEMORY";
case CUDA_ERROR_NOT_INITIALIZED: return "CUDA_ERROR_NOT_INITIALIZED";
case CUDA_ERROR_NO_DEVICE: return "CUDA_ERROR_NO_DEVICE";
case CUDA_ERROR_INVALID_DEVICE: return "CUDA_ERROR_INVALID_DEVICE";
case CUDA_ERROR_INVALID_IMAGE: return "CUDA_ERROR_INVALID_IMAGE";
case CUDA_ERROR_INVALID_CONTEXT: return "CUDA_ERROR_INVALID_CONTEXT";
case CUDA_ERROR_CONTEXT_ALREADY_CURRENT: return "CUDA_ERROR_CONTEXT_ALREADY_CURRENT";
case CUDA_ERROR_MAP_FAILED: return "CUDA_ERROR_MAP_FAILED";
case CUDA_ERROR_UNMAP_FAILED: return "CUDA_ERROR_UNMAP_FAILED";
case CUDA_ERROR_ARRAY_IS_MAPPED: return "CUDA_ERROR_ARRAY_IS_MAPPED";
case CUDA_ERROR_ALREADY_MAPPED: return "CUDA_ERROR_ALREADY_MAPPED";
case CUDA_ERROR_NO_BINARY_FOR_GPU: return "CUDA_ERROR_NO_BINARY_FOR_GPU";
case CUDA_ERROR_ALREADY_ACQUIRED: return "CUDA_ERROR_ALREADY_ACQUIRED";
case CUDA_ERROR_NOT_MAPPED: return "CUDA_ERROR_NOT_MAPPED";
case CUDA_ERROR_INVALID_SOURCE: return "CUDA_ERROR_INVALID_SOURCE";
case CUDA_ERROR_FILE_NOT_FOUND: return "CUDA_ERROR_FILE_NOT_FOUND";
case CUDA_ERROR_INVALID_HANDLE: return "CUDA_ERROR_INVALID_HANDLE";
case CUDA_ERROR_NOT_FOUND: return "CUDA_ERROR_NOT_FOUND";
case CUDA_ERROR_NOT_READY: return "CUDA_ERROR_NOT_READY";
case CUDA_ERROR_LAUNCH_FAILED: return "CUDA_ERROR_LAUNCH_FAILED";
case CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES: return "CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES";
case CUDA_ERROR_LAUNCH_TIMEOUT: return "CUDA_ERROR_LAUNCH_TIMEOUT";
case CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING: return "CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING";
case CUDA_ERROR_UNKNOWN: return "CUDA_ERROR_UNKNOWN";
// A trap instruction produces the below error, which is how we codegen asserts on GPU
case CUDA_ERROR_ILLEGAL_INSTRUCTION:
return "Illegal instruction or Halide assertion failure inside kernel";
default: return "<Unknown error>";
}
}
WEAK halide_device_interface_t cuda_device_interface = {
halide_use_jit_module,
halide_release_jit_module,
halide_cuda_device_malloc,
halide_cuda_device_free,
halide_cuda_device_sync,
halide_cuda_device_release,
halide_cuda_copy_to_host,
halide_cuda_copy_to_device,
halide_cuda_device_and_host_malloc,
halide_cuda_device_and_host_free,
};
}}}} // namespace Halide::Runtime::Internal::Cuda
