mirror of
https://github.com/sgjzfzzf/triton-tvm-ffi.git
synced 2026-07-01 08:51:56 +08:00
+66
-48
@@ -2,8 +2,8 @@
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#include "type.h"
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#include "value.h"
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#include <cuda.h>
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#include <tvm/ffi/container/tensor.h>
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#include <tvm/ffi/extra/cuda/cubin_launcher.h>
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#include <tvm/ffi/reflection/registry.h>
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#include <tvm/ffi/tvm_ffi.h>
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#define CUDA_CHECK(code) \
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@@ -101,49 +101,6 @@ tvm::ffi::Map<tvm::ffi::String, int32_t> GetDeviceProperties(int device_id) {
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{"mem_bus_width", memBusWidth}};
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}
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tvm::ffi::Tuple<uint64_t, uint64_t, int32_t, int32_t, int32_t>
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LoadBinary(const tvm::ffi::String &name, const tvm::ffi::Bytes &data,
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int32_t shared, CUdevice device) {
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CUcontext pctx;
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CUfunction fun;
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CUmodule mod;
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int32_t nRegs = 0;
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int32_t nSpills = 0;
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int32_t nMaxThreads = 0;
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int32_t sharedOptin = 0;
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CUDA_CHECK(cuCtxGetCurrent(&pctx));
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if (!pctx) {
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CUDA_CHECK(cuDevicePrimaryCtxRetain(&pctx, device));
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CUDA_CHECK(cuCtxSetCurrent(pctx));
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}
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CUDA_CHECK(cuModuleLoadData(&mod, data.data()));
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CUDA_CHECK(cuModuleGetFunction(&fun, mod, name.data()));
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CUDA_CHECK(cuFuncGetAttribute(&nRegs, CU_FUNC_ATTRIBUTE_NUM_REGS, fun));
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CUDA_CHECK(
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cuFuncGetAttribute(&nSpills, CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES, fun));
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CUDA_CHECK(cuFuncGetAttribute(&nMaxThreads,
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CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, fun));
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CUDA_CHECK(cuDeviceGetAttribute(
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&sharedOptin, CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK_OPTIN,
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device));
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static constexpr int64_t kExpectedMaxDynamicSharedMemory = 49152;
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if (shared > kExpectedMaxDynamicSharedMemory &&
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sharedOptin > kExpectedMaxDynamicSharedMemory) {
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CUDA_CHECK(cuFuncSetCacheConfig(fun, CU_FUNC_CACHE_PREFER_SHARED));
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int32_t sharedTotal = 0, sharedStatic = 0;
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CUDA_CHECK(cuDeviceGetAttribute(
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&sharedTotal, CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR,
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device));
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CUDA_CHECK(cuFuncGetAttribute(&sharedStatic,
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CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES, fun));
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CUDA_CHECK(
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cuFuncSetAttribute(fun, CU_FUNC_ATTRIBUTE_MAX_DYNAMIC_SHARED_SIZE_BYTES,
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sharedOptin - sharedStatic));
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}
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return tvm::ffi::Tuple<uint64_t, uint64_t, int32_t, int32_t, int32_t>{
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mod, fun, nRegs, nSpills, nMaxThreads};
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}
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void Launch(tvm::ffi::PackedArgs args, tvm::ffi::Any *ret) {
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CUtensorMap x;
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int32_t gridX = args[0].cast<int32_t>();
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@@ -218,6 +175,7 @@ void Launch(tvm::ffi::PackedArgs args, tvm::ffi::Any *ret) {
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}
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}
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}
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// TODO: unwrap PyObject* from scratch pointers and assign to kernel args
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params[j] = &globalScratch;
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params[j + 1] = &profileScratch;
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CUDA_CHECK(cuLaunchKernelEx(&config, function, params, nullptr));
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@@ -225,12 +183,72 @@ void Launch(tvm::ffi::PackedArgs args, tvm::ffi::Any *ret) {
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// TODO: call `launchExitHook`
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}
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tvm::ffi::Tuple<uint64_t, uint64_t, int32_t, int32_t, int32_t>
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LoadBinary(const tvm::ffi::String &name, const tvm::ffi::Bytes &data,
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int32_t shared, CUdevice device) {
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CUcontext pctx;
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CUfunction fun;
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CUmodule mod;
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int32_t nRegs = 0;
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int32_t nSpills = 0;
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int32_t nMaxThreads = 0;
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int32_t sharedOptin = 0;
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CUDA_CHECK(cuCtxGetCurrent(&pctx));
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if (!pctx) {
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CUDA_CHECK(cuDevicePrimaryCtxRetain(&pctx, device));
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CUDA_CHECK(cuCtxSetCurrent(pctx));
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}
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CUDA_CHECK(cuModuleLoadData(&mod, data.data()));
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CUDA_CHECK(cuModuleGetFunction(&fun, mod, name.data()));
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CUDA_CHECK(cuFuncGetAttribute(&nRegs, CU_FUNC_ATTRIBUTE_NUM_REGS, fun));
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CUDA_CHECK(
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cuFuncGetAttribute(&nSpills, CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES, fun));
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CUDA_CHECK(cuFuncGetAttribute(&nMaxThreads,
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CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, fun));
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CUDA_CHECK(cuDeviceGetAttribute(
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&sharedOptin, CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK_OPTIN,
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device));
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static constexpr int64_t kExpectedMaxDynamicSharedMemory = 49152;
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if (shared > kExpectedMaxDynamicSharedMemory &&
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sharedOptin > kExpectedMaxDynamicSharedMemory) {
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CUDA_CHECK(cuFuncSetCacheConfig(fun, CU_FUNC_CACHE_PREFER_SHARED));
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int32_t sharedTotal = 0, sharedStatic = 0;
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CUDA_CHECK(cuDeviceGetAttribute(
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&sharedTotal, CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR,
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device));
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CUDA_CHECK(cuFuncGetAttribute(&sharedStatic,
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CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES, fun));
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CUDA_CHECK(
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cuFuncSetAttribute(fun, CU_FUNC_ATTRIBUTE_MAX_DYNAMIC_SHARED_SIZE_BYTES,
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sharedOptin - sharedStatic));
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}
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return tvm::ffi::Tuple<uint64_t, uint64_t, int32_t, int32_t, int32_t>{
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mod, fun, nRegs, nSpills, nMaxThreads};
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}
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TVM_FFI_STATIC_INIT_BLOCK() {
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namespace refl = tvm::ffi::reflection;
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refl::GlobalDef()
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.def("triton_tvm_ffi.get_device_properties", GetDeviceProperties)
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.def_packed("triton_tvm_ffi.launch", Launch)
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.def("triton_tvm_ffi.load_binary", LoadBinary);
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.def_packed("triton_tvm_ffi.utils.build_signature_metadata",
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[](tvm::ffi::PackedArgs args, tvm::ffi::Any *ret) {
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throw NotImplementedException("build_signature_metadata");
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})
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.def_packed("triton_tvm_ffi.utils.cuOccupancyMaxActiveClusters",
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[](tvm::ffi::PackedArgs args, tvm::ffi::Any *ret) {
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throw NotImplementedException(
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"cuOccupancyMaxActiveClusters");
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})
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.def_packed("triton_tvm_ffi.utils.fill_tma_descriptor",
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[](tvm::ffi::PackedArgs args, tvm::ffi::Any *ret) {
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throw NotImplementedException("fill_tma_descriptor");
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})
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.def_packed("triton_tvm_ffi.utils.set_printf_fifo_size",
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[](tvm::ffi::PackedArgs args, tvm::ffi::Any *ret) {
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throw NotImplementedException("set_printf_fifo_size");
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})
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.def("triton_tvm_ffi.utils.get_device_properties", GetDeviceProperties)
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.def_packed("triton_tvm_ffi.utils.launch", Launch)
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.def("triton_tvm_ffi.utils.load_binary", LoadBinary);
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}
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} // namespace triton_tvm_ffi
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} // namespace triton_tvm_ffi
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