JinjieLiu/triton-tvm-ffi
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use templates to substitute parts of macros

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Signed-off-by: jinjieliu <jinjie.liu@usc.edu>
This commit is contained in:
jinjieliu
2026-02-08 22:24:12 +08:00
parent 1c4f13c8f0
commit 213e4fc060
9 changed files with 139 additions and 49 deletions
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3
python/triton_tvm_ffi/jit.py
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@@ -40,7 +40,8 @@ class TVMFFIJITFunction(object):
grid: Union[
Callable[[Dict[str, Any]], Tuple[int, int, int]], Tuple[int, int, int]
],
_: int,
_device: int,
_stream: int,
args: Sequence[Any],
kwargs: Mapping[str, Any],
):

53
python/triton_tvm_ffi/templates/gendef.cc.j2
View File

@@ -1,41 +1,19 @@
#include <cassert>
#include <cuda.h>
#include <optional>
#include <tvm/ffi/extra/cuda/cubin_launcher.h>
#include <tvm/ffi/function.h>
#include "triton_tvm_ffi/grid.h"
#include "triton_tvm_ffi/kernel.h"
#include "triton_tvm_ffi/macro.h"
#include "triton_tvm_ffi/meta.h"
#define {{ name | upper }}_NAME "{{ uniquename }}"
{% for fn in fns %}
{% if fn.ctypes is none %}
#define {{ fn.fnname | upper }}_STUB tvm::ffi::Function::GetGlobalRequired("{{ fn.fullname }}")
{% else %}
static const char __cubin[] = "{{ fn.kernel_cstr }}";
static constexpr char __fnname_{{ fn.fnname }}[] = "{{ fn.fnname }}";
static constexpr char __cubin_{{ fn.fnname }}[] = "{{ fn.kernel_cstr }}";
#define __CUDA_CHECK(code) assert((code) == CUDA_SUCCESS)
static CUfunction __Get{{ fn.fnname }}Kernel() {
static std::optional<CUfunction> function = std::nullopt;
if (!function) {
CUmodule module;
CUfunction func;
__CUDA_CHECK(cuModuleLoadData(&module, __cubin));
__CUDA_CHECK(cuModuleGetFunction(&func, module, "{{ fn.fnname }}"));
{% if fn.shmem > 49152 %}
int shared_optin, shared_static;
__CUDA_CHECK(cuDeviceGetAttribute(&shared_optin, CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK_OPTIN, /* TODO: we assume the device id is 0 here, but this may not work on devices with more than one gpu */0));
if (shared_optin >= 49152) {
__CUDA_CHECK(cuFuncGetAttribute(&shared_static, CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES, func));
__CUDA_CHECK(cuFuncSetAttribute(func, CU_FUNC_ATTRIBUTE_MAX_DYNAMIC_SHARED_SIZE_BYTES, shared_optin - shared_static));
}
{% endif %}
function = func;
}
return *function;
}
#define {{ fn.fnname | upper }}_STUB(__grid, __stream, __args, __kwargs) do { \
const char *__signature[] = { "{{ fn.signature | join("\", \"") }}" }; \
#define {{ fn.fnname | upper }}_STUB(__grid, __device, __stream, __args, __kwargs) do { \
tvm::ffi::Map<tvm::ffi::String, tvm::ffi::Any> __meta = { \
{% if fn.best_config != none %}
{% for k, v in fn.best_config.items() %}
@@ -43,24 +21,19 @@ tvm::ffi::Map<tvm::ffi::String, tvm::ffi::Any> __meta = { \
{% endfor %}
{% endif %}
}; \
for (size_t __i = 0, __size_args = __args.size(); __i < sizeof(__signature) / sizeof(const char *); ++__i) { \
if (__i < __size_args) { \
__meta.Set(__signature[__i], __args[__i]); \
} else if (auto __val = __kwargs.Get(__signature[__i])) { \
__meta.Set(__signature[__i], *__val); \
} \
} \
CUfunction __function = __Get{{ fn.fnname }}Kernel(); \
tvm::ffi::Tuple<int32_t, int32_t, int32_t> __gridDim = MakeGridDim(__grid, __meta); \
{% for type in fn.signature %}
static constexpr char __varname{{ loop.index0 }}[] = "{{ type }}"; \
{% endfor %}
triton_tvm_ffi::FillMeta<{% for type in fn.signature %}__varname{{ loop.index0 }}{% if not loop.last %}, {% endif %}{% endfor %}>::apply(__meta, __args, __kwargs); \
CUfunction __function = triton_tvm_ffi::GetKernel<__fnname_{{ fn.fnname }}, __cubin_{{ fn.fnname }}, {{ fn.shmem }}>(__device); \
tvm::ffi::Tuple<int32_t, int32_t, int32_t> __gridDim = triton_tvm_ffi::MakeGridDim(__grid, __meta); \
void *dummy = nullptr; \
{% for ctype in fn.ctypes %}
{% if ctype != none %}
{% if ctype == "CUdeviceptr" %}
void *__arg{{ loop.index0 }} = __args[{{ loop.index0 }}].cast<tvm::ffi::TensorView>().data_ptr(); \
{% else %}
{% elif ctype != none %}
{{ ctype }} __arg{{ loop.index0 }} = __args[{{ loop.index0 }}].cast<{{ ctype }}>(); \
{% endif %}
{% endif %}
{% endfor %}
void *__params[] = { {% for ctype in fn.ctypes %}{% if ctype != none %}&__arg{{ loop.index0 }}, {% endif %}{% endfor %}&dummy, &dummy }; \
__CUDA_CHECK(cuLaunchKernel(__function, __gridDim.get<0>(), __gridDim.get<1>(), __gridDim.get<2>(), 32 * {{ fn.num_warps }}, 1, 1, {{ fn.shmem }}, reinterpret_cast<CUstream>(__stream), __params, nullptr)); \