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@@ -959,7 +959,7 @@ def generate_launcher(identifier, constants, signature):
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"int64_t": "L",
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}[ty]
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format = "iiiiiKKOOO" + ''.join([format_of(_extracted_type(ty)) for ty in signature.values()])
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format = "iiiiiKKOOO" + ''.join([format_of(_extracted_type(ty)) for ty in signature.values()]) + "O"
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# generate glue code
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src = f"""
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@@ -1022,34 +1022,22 @@ static PyObject* launch(PyObject* self, PyObject* args) {{
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PyObject *launch_enter_hook = NULL;
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PyObject *launch_exit_hook = NULL;
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PyObject *compiled_kernel = NULL;
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PyObject *hook_ret = NULL;
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PyObject *constants = NULL;
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{' '.join([f"{_extracted_type(ty)} _arg{i}; " for i, ty in signature.items()])}
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if(!PyArg_ParseTuple(args, \"{format}\", &gridX, &gridY, &gridZ, &num_warps, &shared_memory, &_stream, &_function, &launch_enter_hook, &launch_exit_hook, &compiled_kernel, {', '.join(f"&_arg{i}" for i, ty in signature.items())})) {{
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if(!PyArg_ParseTuple(args, \"{format}\", &gridX, &gridY, &gridZ, &num_warps, &shared_memory, &_stream, &_function, &launch_enter_hook, &launch_exit_hook, &compiled_kernel, {', '.join(f"&_arg{i}" for i, ty in signature.items())}, &constants)) {{
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return NULL;
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}}
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if (launch_enter_hook != Py_None) {{
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PyObject *new_args = PyTuple_Pack(1, compiled_kernel);
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hook_ret = PyObject_CallObject(launch_enter_hook, new_args);
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Py_DECREF(new_args);
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PyObject_CallObject(launch_enter_hook, args);
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}}
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_launch(gridX, gridY, gridZ, num_warps, shared_memory, (CUstream)_stream, (CUfunction)_function, {', '.join(f"getPointer(_arg{i},{i})" if ty[0]=="*" else f"_arg{i}"for i, ty in signature.items())});
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if (launch_exit_hook != Py_None) {{
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PyObject *new_args = NULL;
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if (hook_ret) {{
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new_args = PyTuple_Pack(2, compiled_kernel, hook_ret);
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}} else {{
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new_args = PyTuple_Pack(1, compiled_kernel);
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}}
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hook_ret = PyObject_CallObject(launch_exit_hook, new_args);
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Py_DECREF(new_args);
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PyObject_CallObject(launch_exit_hook, args);
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}}
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if (hook_ret) {{
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Py_DECREF(hook_ret);
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}}
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if(PyErr_Occurred()) {{
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return NULL;
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}}
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@@ -1214,7 +1202,7 @@ def make_fn_cache_key(fn_hash, signature, configs, constants, num_warps, num_sta
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return key
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def compile(fn, signature: str, device: int = -1, constants=dict(), num_warps: int = 4,
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def compile(fn, signature: str, device: int = -1, constants=dict(), constexpr=tuple(), num_warps: int = 4,
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num_stages: int = 3, extern_libs=None, configs=None, cc=0, warm_cache_only=False):
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# we get the kernel, i.e. the first function generated in the module
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assert len(configs) == 1
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@@ -1250,7 +1238,7 @@ def compile(fn, signature: str, device: int = -1, constants=dict(), num_warps: i
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not fn_cache_manager.has_file(llir_name):
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asm, shared, kernel_name = _compile(fn, signature, device, constants, configs[0], num_warps, num_stages,
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extern_libs, "cubin", cc)
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metadata = {"name": kernel_name, "shared": shared, "num_warps": num_warps, "num_stages": num_stages}
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metadata = {"name": kernel_name, "shared": shared, "num_warps": num_warps, "num_stages": num_stages, "constexpr": constexpr}
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fn_cache_manager.put(asm["cubin"], cubin_name)
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fn_cache_manager.put(asm["ptx"], ptx_name, binary=False)
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fn_cache_manager.put(asm["ttir"], ttir_name, binary=False)
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@@ -1282,6 +1270,7 @@ class CompiledKernel:
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self.shared = metadata["shared"]
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self.num_warps = metadata["num_warps"]
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self.num_stages = metadata["num_stages"]
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self.constexpr = metadata["constexpr"]
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# initialize asm dict
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self.asm = dict()
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with open(os.path.join(cache_dir, f"{fn_name}.cubin"), "rb") as f:
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@@ -1305,7 +1294,7 @@ class CompiledKernel:
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if stream is None:
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stream = torch.cuda.current_stream().cuda_stream
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self.c_wrapper(grid[0], grid[1], grid[2], self.num_warps, self.shared, stream, self.cu_function,
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CompiledKernel.launch_enter_hook, CompiledKernel.launch_exit_hook, self, *args)
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CompiledKernel.launch_enter_hook, CompiledKernel.launch_exit_hook, self, *args, self.constexpr)
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return runner
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def get_sass(self, fun=None):
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@@ -254,7 +254,7 @@ def {self.fn.__name__}({', '.join(self.arg_names)}, grid, num_warps=4, num_stage
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try:
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bin = cache[device][key]
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if not warmup:
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bin.c_wrapper(grid_0, grid_1, grid_2, bin.num_warps, bin.shared, stream, bin.cu_function, triton.compiler.CompiledKernel.launch_enter_hook, triton.compiler.CompiledKernel.launch_exit_hook, bin, {args})
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bin.c_wrapper(grid_0, grid_1, grid_2, bin.num_warps, bin.shared, stream, bin.cu_function, triton.compiler.CompiledKernel.launch_enter_hook, triton.compiler.CompiledKernel.launch_exit_hook, bin, {args}, constexpr_key)
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return bin
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# kernel not cached -- compile
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except KeyError:
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@@ -272,9 +272,9 @@ def {self.fn.__name__}({', '.join(self.arg_names)}, grid, num_warps=4, num_stage
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if callable(arg):
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raise TypeError(f"Callable constexpr at index {i} is not supported")
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if not self._call_hook(key, signature, device, constants, num_warps, num_stages, extern_libs, configs):
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bin = triton.compile(self, signature, device, constants, num_warps, num_stages, extern_libs=extern_libs, configs=configs)
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bin = triton.compile(self, signature, device, constants, constexpr_key, num_warps, num_stages, extern_libs=extern_libs, configs=configs)
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if not warmup:
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bin.c_wrapper(grid_0, grid_1, grid_2, bin.num_warps, bin.shared, stream, bin.cu_function, triton.compiler.CompiledKernel.launch_enter_hook, triton.compiler.CompiledKernel.launch_exit_hook, bin, *args)
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bin.c_wrapper(grid_0, grid_1, grid_2, bin.num_warps, bin.shared, stream, bin.cu_function, triton.compiler.CompiledKernel.launch_enter_hook, triton.compiler.CompiledKernel.launch_exit_hook, bin, *args, constexpr_key)
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self.cache[device][key] = bin
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return bin
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return None
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