def evaluate(self, string, optimize=True):
ast = self.parser.parse(string)
self.generator.generate_llvm(ast)
if not (isinstance(ast, FunctionNode) and ast.is_anonymous()):
return None
# print("-------------- Generated -------------------")
# print(str(self.generator.module))
llvm_mod = llvm.parse_assembly(str(self.generator.module))
if optimize:
pmb = llvm.create_pass_manager_builder()
pmb.opt_level = 2
pm = llvm.create_module_pass_manager()
pmb.populate(pm)
pm.run(llvm_mod)
# print("-------------- Optimized -------------------")
# print(str(llvm_mod))
target_machine = self.target.create_target_machine()
with llvm.create_mcjit_compiler(llvm_mod, target_machine) as ee:
ee.finalize_object()
func = llvm_mod.get_function(ast.prototype.name)
fptr = CFUNCTYPE(c_double)(ee.get_pointer_to_function(func))
result = fptr()
return result
def test_add_object_file_from_filesystem(self):
target_machine = self.target_machine()
mod = self.module()
obj_bin = target_machine.emit_object(mod)
temp_desc, temp_path = mkstemp()
try:
try:
f = os.fdopen(temp_desc, "wb")
f.write(obj_bin)
f.flush()
finally:
f.close()
jit = llvm.create_mcjit_compiler(self.module(self.mod_asm),
target_machine)
jit.add_object_file(temp_path)
finally:
os.unlink(temp_path)
sum_twice = CFUNCTYPE(c_int, c_int, c_int)(
jit.get_function_address("sum_twice"))
self.assertEqual(sum_twice(2, 3), 10)
def make_add_fn():
global ee
int32 = llvm.ir.IntType(32)
module = ir.Module()
adder_type = ir.FunctionType(int32, (int32, int32))
adder = ir.Function(module, adder_type, 'add')
adder.args[0].name = 'a'
adder.args[1].name = 'b'
bb_entry = adder.append_basic_block('entry')
irbuilder = ir.IRBuilder(bb_entry)
s = irbuilder.add(adder.args[0], adder.args[1])
irbuilder.ret(s)
llvm_module = binding.parse_assembly(str(module))
tm = binding.Target.from_default_triple().create_target_machine()
ee = binding.create_mcjit_compiler(llvm_module, tm)
ee.finalize_object()
cfptr = ee.get_function_address('add')
cfunc = CFUNCTYPE(c_int32, c_int32, c_int32)(cfptr)
print(cfunc(3, 4))
return cfunc
def run(llvm_ir):
# Load the runtime
ctypes._dlopen(os.path.join(_path, 'gonert.so'), ctypes.RTLD_GLOBAL)
# Initialize LLVM
llvm.initialize()
llvm.initialize_native_target()
llvm.initialize_native_asmprinter()
target = llvm.Target.from_default_triple()
target_machine = target.create_target_machine()
mod = llvm.parse_assembly(llvm_ir)
mod.verify()
engine = llvm.create_mcjit_compiler(mod, target_machine)
# Execute the main() function
#
# !!! Note: Requires modification in Project 8 (see below)
# main_ptr = engine.get_function_address('main')
# main_func = ctypes.CFUNCTYPE(None)(main_ptr)
# main_func()
init_ptr = engine.get_function_address('__init')
init_func = ctypes.CFUNCTYPE(None)(init_ptr)
init_func()
main_ptr = engine.get_function_address('_gone_main')
main_func = ctypes.CFUNCTYPE(None)(main_ptr)
main_func()
def _make_cas_function():
"""
Generate a compare-and-swap function for portability sake.
"""
# Generate IR
mod = lc.Module.new('generate-cas')
llint = lc.Type.int()
llintp = lc.Type.pointer(llint)
fnty = lc.Type.function(llint, [llintp, llint, llint])
fn = mod.add_function(fnty, name='.numba.parallel.ufunc.cas')
ptr, old, repl = fn.args
bb = fn.append_basic_block('')
builder = lc.Builder.new(bb)
outpack = builder.cmpxchg(ptr, old, repl, ordering='monotonic')
out = builder.extract_value(outpack, 0)
failed = builder.extract_value(outpack, 1)
builder.ret(builder.select(failed, old, out))
# Build & Link
llmod = ll.parse_assembly(str(mod))
llfn = llmod.get_function(fn.name)
target = ll.Target.from_default_triple()
tm = target.create_target_machine()
engine = ll.create_mcjit_compiler(llmod, tm)
ptr = engine.get_pointer_to_function(llfn)
return engine, ptr
def create(self, tm=None):
if tm is None:
tm = self.select_target()
if not isinstance(tm, TargetMachine):
tm = tm._tm
if self._use_mcjit:
return llvm.create_mcjit_compiler(self.module, tm._tm)
else:
return llvm.create_jit_compiler_with_tm(self.module, tm._tm)
def create_run_engine():
global target_machine
# Create target machine
target = llvm.Target.from_default_triple()
target_machine = target.create_target_machine()
# Add run engine
backing_mod = llvm.parse_assembly("")
engine = llvm.create_mcjit_compiler(backing_mod, target_machine)
return engine
def setUp(self):
self.mba = MBA(8)
self.x = self.mba.var('x')
self.y = self.mba.var('y')
self.ex = EX.ExprBV(self.x)
self.ey = EX.ExprBV(self.y)
self.args = [self.x,self.y]
self.eargs = [EX.ExprBV(self.x),EX.ExprBV(self.y)]
self.func_name = "__arybo"
self.llvm_target = llvm_get_target()
self.machine = self.llvm_target.create_target_machine()
self.engine = llvm.create_mcjit_compiler(llvm.parse_assembly(""), self.machine)
def __init__(self):
self.target = llvm.Target.from_default_triple()
machine = self.target.create_target_machine()
# machine.set_asm_verbosity(True)
module = llvm.parse_assembly( str(ir.Module()) )
self.engine = llvm.create_mcjit_compiler(module, machine)
self.symbols = {}
def _create_execution_engine(self):
"""
Create an ExecutionEngine suitable for JIT code generation on
the host CPU. The engine is reusable for an arbitrary number of
modules.
"""
target = self.binding.Target.from_default_triple()
target_machine = target.create_target_machine()
# And an execution engine with an empty backing module
backing_mod = binding.parse_assembly("")
engine = binding.create_mcjit_compiler(backing_mod, target_machine)
self.engine = engine
def evaluate(self, codestr, optimize=True, llvmdump=False):
"""Evaluate code in codestr.
Returns None for definitions and externs, and the evaluated expression
value for toplevel expressions.
"""
# Parse the given code and generate code from it
ast = Parser().parse_toplevel(codestr)
self.codegen.generate_code(ast)
if llvmdump:
print('======== Unoptimized LLVM IR')
print(str(self.codegen.module))
# If we're evaluating a definition or extern declaration, don't do
# anything else. If we're evaluating an anonymous wrapper for a toplevel
# expression, JIT-compile the module and run the function to get its
# result.
if not (isinstance(ast, FunctionAST) and ast.is_anonymous()):
return None
# Convert LLVM IR into in-memory representation
llvmmod = llvm.parse_assembly(str(self.codegen.module))
# Optimize the module
if optimize:
pmb = llvm.create_pass_manager_builder()
pmb.opt_level = 2
pm = llvm.create_module_pass_manager()
pmb.populate(pm)
pm.run(llvmmod)
if llvmdump:
print('======== Optimized LLVM IR')
print(str(llvmmod))
# Create a MCJIT execution engine to JIT-compile the module. Note that
# ee takes ownership of target_machine, so it has to be recreated anew
# each time we call create_mcjit_compiler.
target_machine = self.target.create_target_machine()
with llvm.create_mcjit_compiler(llvmmod, target_machine) as ee:
ee.finalize_object()
if llvmdump:
print('======== Machine code')
print(target_machine.emit_assembly(llvmmod))
func = llvmmod.get_function(ast.proto.name)
fptr = CFUNCTYPE(c_double)(ee.get_pointer_to_function(func))
result = fptr()
return result
def evaluate(self, codeString, optimize=True, llvmdump=False):
"""
Evaluate code in codestr.
Returns 0.0 for definitions and import, and the evaluated expression
value for toplevel expressions.
"""
# Parse the given code and generate code from it
ast = Parser().parseTopLevel(codeString)
self.codegen.generateCode(ast)
test = type(ast)
if llvmdump:
print('======== Unoptimized LLVM IR')
print(str(self.codegen.module))
# If we're evaluating a definition or import declaration, don't do
# anything else. If we're evaluating an anonymous wrapper for a toplevel
# expression, JIT-compile the module and run the function to get its
# result.
llvmmod = llvm.parse_assembly(str(self.codegen.module))
#Optimize the module
if optimize:
pmb = llvm.create_pass_manager_builder()
pmb.opt_level = 2
pm = llvm.create_module_pass_manager()
pmb.populate(pm)
pm.run(llvmmod)
if llvmdump:
print('======== Optimized LLVM IR')
print(str(llvmmod))
# Create a MCJIT execution engine to JIT-compile the module. Note that
# ee takes ownership of target_machine, so it has to be recreated anew
# each time we call create_mcjit_compiler.
targetMachine = self.target.create_target_machine()
with llvm.create_mcjit_compiler(llvmmod,
targetMachine) as mcjitCompiler:
mcjitCompiler.finalize_object()
if llvmdump:
print('======== Machine code')
print(targetMachine.emit_assembly(llvmmod))
result = 0.0
if type(ast) == FunctionAST:
functionPointer = CFUNCTYPE(c_double)(
mcjitCompiler.get_function_address(ast.proto.name))
result = functionPointer()
return result
def evaluate(self, codestr, optimize=True, llvmdump=False):
"""Evaluate code in codestr.
Returns None for definitions and externs, and the evaluated expression
value for toplevel expressions.
"""
# Parse the given code and generate code from it
ast = Parser().parse_toplevel(codestr)
self.codegen.generate_code(ast)
if llvmdump:
print('======== Unoptimized LLVM IR')
print(str(self.codegen.module))
# If we're evaluating a definition or extern declaration, don't do
# anything else. If we're evaluating an anonymous wrapper for a toplevel
# expression, JIT-compile the module and run the function to get its
# result.
if not (isinstance(ast, FunctionAST) and ast.is_anonymous()):
return None
# Convert LLVM IR into in-memory representation
llvmmod = llvm.parse_assembly(str(self.codegen.module))
# Optimize the module
if optimize:
pmb = llvm.create_pass_manager_builder()
pmb.opt_level = 2
pm = llvm.create_module_pass_manager()
pmb.populate(pm)
pm.run(llvmmod)
if llvmdump:
print('======== Optimized LLVM IR')
print(str(llvmmod))
# Create a MCJIT execution engine to JIT-compile the module. Note that
# ee takes ownership of target_machine, so it has to be recreated anew
# each time we call create_mcjit_compiler.
target_machine = self.target.create_target_machine()
with llvm.create_mcjit_compiler(llvmmod, target_machine) as ee:
ee.finalize_object()
if llvmdump:
print('======== Machine code')
print(target_machine.emit_assembly(llvmmod))
func = llvmmod.get_function(ast.proto.name)
fptr = CFUNCTYPE(c_double)(ee.get_pointer_to_function(func))
result = fptr()
return result
def make_execution_engine():
"""
Initialize just-in-time execution engine.
:rtype: ExecutionEngine
"""
target = llvm.Target.from_default_triple()
target_machine = target.create_target_machine()
backing_mod = llvm.parse_assembly('')
engine = llvm.create_mcjit_compiler(backing_mod, target_machine)
llvm.load_library_permanently(PREAMBLE_BINARIES_PATH + '.so')
yield engine
del engine
def create_execution_engine():
"""
Create an ExecutionEngine suitable for JIT code generation on
the host CPU. The engine is reusable for an arbitrary number of
modules.
"""
# Create a target machine representing the host
target = llvm.Target.from_default_triple()
target_machine = target.create_target_machine()
# And an execution engine with an empty backing module
backing_mod = llvm.parse_assembly("")
engine = llvm.create_mcjit_compiler(backing_mod, target_machine)
return engine
def create_execution_engine():
"""
Create an ExecutionEngine suitable for JIT code generation on
the host CPU. The engine is reusable for an arbitrary number of modules.
Source: https://llvmlite.readthedocs.io/en/latest/user-guide/binding/examples.html
"""
# Create a target machine representing the host
target = llvm.Target.from_default_triple()
target_machine = target.create_target_machine()
# And an execution engine with an empty backing module
backing_mod = llvm.parse_assembly("")
engine = llvm.create_mcjit_compiler(backing_mod, target_machine)
return engine
def __init__(self, triple="DEFAULT"):
llvm.initialize()
llvm.initialize_native_target()
llvm.initialize_native_asmprinter()
if triple == "DEFAULT":
target = llvm.Target.from_default_triple()
else:
target = llvm.Target.from_triple(triple=triple)
self.target_machine = target.create_target_machine()
backing_mod = llvm.parse_assembly("")
self.engine = llvm.create_mcjit_compiler(module=backing_mod, target_machine=self.target_machine)
def finalize_and_return(builder, input_arr: Dict[Node, Union[np.ndarray, List,
Tuple]],
output_arr: List[Node]) -> List[np.ndarray]:
finalize(builder)
mod = builder.block.module
mem_params = []
POINTERs = []
ret_mems = []
inputs_mems = {}
for (node, init_val) in input_arr.items():
if isinstance(init_val, np.ndarray):
arr_with_type = init_val.astype(map_kk_np[node.dtype])
arr_c_mem = arr_with_type.ctypes.data_as(
POINTER(map_kk_ct[node.dtype][0]))
mem_params.append(arr_c_mem)
inputs_mems[node] = arr_c_mem
else:
mem_type = map_kk_ct[node.dtype][0] * node.size
input_mem = mem_type(*init_val)
input_p = byref(input_mem)
input_p = cast(input_p, POINTER(map_kk_ct[node.dtype][0]))
mem_params.append(input_p)
inputs_mems[node] = input_mem
POINTERs.append(POINTER(map_kk_ct[node.dtype][0]))
for node in output_arr:
if node in input_arr:
ret_mems.append(
np.ctypeslib.as_array(inputs_mems[node], shape=[node.size]))
mem_params.append(inputs_mems[node])
else:
length = node.size
mem_type = map_kk_ct[node.dtype][0] * length
ret_mem = mem_type()
ret_mems.append(np.ctypeslib.as_array(ret_mem, shape=[node.size]))
ret_p = byref(ret_mem)
ret_p = cast(ret_p, POINTER(map_kk_ct[node.dtype][0]))
mem_params.append(ret_p)
POINTERs.append(POINTER(map_kk_ct[node.dtype][0]))
backing_mod = bd.parse_assembly(str(mod))
backing_mod.verify()
with bd.create_mcjit_compiler(backing_mod, tm) as ee:
ee.finalize_object()
main_func_ptr = ee.get_function_address(builder.block.function.name)
cfunc = CFUNCTYPE(c_int, *POINTERs)(main_func_ptr)
cfunc(*mem_params)
ee.detach()
return ret_mems
def __init__(self):
"""
Create execution engine.
"""
# Create a target machine representing the host
self.target = llvm.Target.from_default_triple()
self.target_machine = self.target.create_target_machine()
# Prepare the engine with an empty module
self.backing_mod = llvm.parse_assembly("")
self.engine = llvm.create_mcjit_compiler(self.backing_mod,
self.target_machine)
self.mod_ref = None
def __init__(self):
llvm.initialize()
llvm.initialize_native_target()
llvm.initialize_native_asmprinter() # yes, even this one
# Create a target machine representing the host
target = llvm.Target.from_default_triple()
target_machine = target.create_target_machine()
# And an execution engine with a backing module
self.main_mod = self.compile_ir('')
self.engine = llvm.create_mcjit_compiler(self.main_mod, target_machine)
self.files = set()
def create_execution_engine():
pmb = llvm.create_pass_manager_builder()
pmb.opt_level = 3
pass_manager = llvm.create_module_pass_manager()
pmb.populate(pass_manager)
target_machine.add_analysis_passes(pass_manager)
# And an execution engine with an empty backing module
backing_mod = llvm.parse_assembly("")
engine = llvm.create_mcjit_compiler(backing_mod, target_machine)
return engine, pass_manager
def execute(llmod, heap, verbose=False):
target_machine = llvm.Target.from_default_triple().create_target_machine()
with llvm.create_mcjit_compiler(llmod, target_machine) as ee:
ee.add_global_mapping(llmod.get_global_variable("data_ptr")._ptr, heap)
ee.add_global_mapping(
llmod.get_global_variable("start_ptr")._ptr, heap + 0x8)
ee.finalize_object()
cfptr = ee.get_function_address("main_routine")
if verbose:
print(target_machine.emit_assembly(llmod))
cfunc = CFUNCTYPE(c_int, c_int)(cfptr)
if cfunc(1) != 1:
raise Exception("jitted-code returned an abnormal value")
def create_execution_engine():
"""
Create an ExecutionEngine suitable for JIT code generation on
the host CPU. The engine is reusable for an arbitrary number of
modules.
Source: http://llvmlite.pydata.org/en/latest/binding/examples.html#compiling-a-trivial-function
"""
# Create a target machine representing the host
target = llvm.Target.from_default_triple()
target_machine = target.create_target_machine()
# And an execution engine with an empty backing module
backing_mod = llvm.parse_assembly("")
engine = llvm.create_mcjit_compiler(backing_mod, target_machine)
return engine
def execute(module, optimization):
parsed_module = llvm.parse_assembly(str(module))
if optimization:
# initialize pass manager builder
pmb = llvm.PassManagerBuilder()
pmb.opt_level = 3
# initialize function pass manager
fpm = llvm.create_function_pass_manager(parsed_module)
pmb.populate(fpm)
# initialize module pass manager
pm = llvm.ModulePassManager()
pmb.populate(pm)
# add optimization passes
pm.add_constant_merge_pass()
pm.add_dead_arg_elimination_pass()
pm.add_function_attrs_pass()
pm.add_function_inlining_pass(200) # threshold = 200
pm.add_global_dce_pass()
pm.add_global_optimizer_pass()
pm.add_ipsccp_pass()
pm.add_dead_code_elimination_pass()
pm.add_cfg_simplification_pass()
pm.add_gvn_pass()
pm.add_instruction_combining_pass()
pm.add_licm_pass()
pm.add_sccp_pass()
pm.add_sroa_pass()
pm.add_type_based_alias_analysis_pass()
pm.add_basic_alias_analysis_pass()
# run optimization passes on the module
is_modified = pm.run(parsed_module)
# check if the optimizations made any modification to the module
print("Optimizations made modification to the module: ", is_modified)
parsed_module.verify()
target_machine = llvm.Target.from_default_triple().create_target_machine()
engine = llvm.create_mcjit_compiler(parsed_module, target_machine)
engine.finalize_object()
entry = engine.get_function_address("run")
cfunc = CFUNCTYPE(c_int)(entry)
result = cfunc()
print("\nexit: {}".format(result))
return parsed_module
def eval(self, llvm_code, optimize=True, opt_file=None, opt_debug=False):
''' JIT-compile and execute the given `llvm_code`. '''
llvm_module = llvm.parse_assembly(llvmir=str(llvm_code))
llvm_module.verify()
if optimize:
pmb = llvm.create_pass_manager_builder()
pm = llvm.create_module_pass_manager()
# ref.: https://clang.llvm.org/docs/CommandGuide/clang.html#code-generation-options
pmb.opt_level = 0 # 0 = -O0, 1 = -O1, 2 = -O2, 3 = -O3
pmb.size_level = 0 # 0 = none, 1 = -Os, 2 = -Oz
# ref.: http://llvm.org/docs/Passes.html https://stackoverflow.com/a/15548189
# pm.add_constant_merge_pass() # -constmerge
# pm.add_dead_arg_elimination_pass() # -deadargelim
# pm.add_function_attrs_pass() # -functionattrs
# pm.add_global_dce_pass() # -globaldce
# pm.add_global_optimizer_pass() # -globalopt
# pm.add_ipsccp_pass() # -ipsccp
# pm.add_dead_code_elimination_pass() # -dce
# pm.add_cfg_simplification_pass() # -simplifycfg
# pm.add_gvn_pass() # -gvn
# pm.add_instruction_combining_pass() # -instcombine
# pm.add_licm_pass() # -licm
# pm.add_sccp_pass() # -sccp
# pm.add_sroa_pass() # -sroa
pmb.populate(pm)
pm.run(llvm_module)
llvm_module.verify()
if opt_file is not None:
opt_file.write(str(llvm_module))
if opt_debug:
print("----")
print(str(llvm_module))
target_machine = self.target.create_target_machine()
with llvm.create_mcjit_compiler(llvm_module,
target_machine) as execution_engine:
execution_engine.finalize_object()
execution_engine.run_static_constructors()
# FIXME get the return type of main
main = CFUNCTYPE(c_void_p)(
execution_engine.get_function_address(name="main"))
return main() # FIXME args (?)
def crun(self, func, args, ctype=c_int32):
target = llvm.Target.from_default_triple()
target_machine = target.create_target_machine()
# And an execution engine with an empty backing module
backing_mod = llvm.parse_assembly("")
engine = llvm.create_mcjit_compiler(backing_mod, target_machine)
engine.add_module(self.mod)
engine.finalize_object()
engine.run_static_constructors()
func_ptr = engine.get_function_address(func)
cfunc = CFUNCTYPE(ctype)(func_ptr)
res = cfunc(*args)
return res
def test_add_object_file(self):
target_machine = self.target_machine()
mod = self.module()
obj_bin = target_machine.emit_object(mod)
obj = llvm.ObjectFileRef.from_data(obj_bin)
jit = llvm.create_mcjit_compiler(self.module(self.mod_asm),
target_machine)
jit.add_object_file(obj)
sum_twice = CFUNCTYPE(c_int, c_int, c_int)(
jit.get_function_address("sum_twice"))
self.assertEqual(sum_twice(2, 3), 10)
def init_jit(libc_path):
global jit
"""
Create an ExecutionEngine suitable for JIT code generation on
the host CPU. The engine is reusable for an arbitrary number of
modules.
"""
# Create a target machine representing the host
target_machine = globals.target_machine
# And an execution engine with an empty backing module
backing_mod = llvm.parse_assembly("")
jit = llvm.create_mcjit_compiler(backing_mod, globals.target_machine)
# Add libc
llvm.load_library_permanently(libc_path)
def _create_execution_engine(self):
"""
Create an ExecutionEngine suitable for JIT code generation on the host
CPU. The engine is reusable for any number of modules.
"""
# Initialization...
binding.initialize()
binding.initialize_native_target()
binding.initialize_native_asmprinter()
# Create a target machine representing the host
target = binding.Target.from_default_triple()
target_machine = target.create_target_machine()
# And an execution engine with an empty backing module
backing_mod = binding.parse_assembly("")
engine = binding.create_mcjit_compiler(backing_mod, target_machine)
return engine
def _create_execution_engine(self):
"""
Create an ExecutionEngine suitable for JIT code generation on
the host CPU. The engine is reusable for an arbitrary number of
modules.
"""
target = self.binding.Target.from_default_triple()
self.target_machine = target.create_target_machine(opt=self.opt_level,
reloc="pic")
self.target_machine.set_asm_verbosity(True)
backing_mod = binding.parse_assembly("")
engine = binding.create_mcjit_compiler(backing_mod,
self.target_machine)
self.engine = engine
self.binding.check_jit_execution()
def _init(self, llvm_module):
assert list(llvm_module.global_variables) == [], "Module isn't empty"
target = ll.Target.from_default_triple()
tm_options = dict(cpu='', features='', opt=config.OPT)
self._customize_tm_options(tm_options)
tm = target.create_target_machine(**tm_options)
engine = ll.create_mcjit_compiler(llvm_module, tm)
tli = ll.create_target_library_info(llvm_module.triple)
self._tli = tli
self._tm = tm
self._engine = engine
self._target_data = engine.target_data
self._data_layout = str(self._target_data)
self._mpm = self._module_pass_manager()
def _init(self, llvm_module):
assert list(llvm_module.global_variables) == [], "Module isn't empty"
target = ll.Target.from_default_triple()
tm_options = dict(cpu='', features='', opt=config.OPT)
self._customize_tm_options(tm_options)
tm = target.create_target_machine(**tm_options)
engine = ll.create_mcjit_compiler(llvm_module, tm)
tli = ll.create_target_library_info(llvm_module.triple)
self._tli = tli
self._tm = tm
self._engine = engine
self._target_data = engine.target_data
self._data_layout = str(self._target_data)
self._mpm = self._module_pass_manager()
def build_and_execute(self, repeat=10, min_elapsed=0.1, max_elapsed=0.3):
# Compile the module to machine code using MCJIT
tm = self.get_target_machine()
runtimes = []
args = self.prepare_arguments()
with llvm.create_mcjit_compiler(self.get_llvm_module(), tm) as ee:
ee.finalize_object()
# Obtain a pointer to the compiled 'sum' - it's the address of its JITed
# code in memory.
cfptr = ee.get_function_address('test')
# To convert an address to an actual callable thing we have to use
# CFUNCTYPE, and specify the arguments & return type.
cfunc = self._function_ctype(cfptr)
# Now 'cfunc' is an actual callable we can invoke
# TODO replace time.clock with a C implemententation for less overhead
# TODO return result in machine readable format
fixed_args = False
for i in range(repeat):
while True:
start = time.perf_counter()
res = cfunc(*args)
end = time.perf_counter()
elapsed = end - start
if not fixed_args and (elapsed < min_elapsed
or elapsed > max_elapsed):
target_elapsed = 2 / 3 * min_elapsed + 1 / 3 * max_elapsed
factor = target_elapsed / elapsed
args = self.prepare_arguments(previous_args=args,
time_factor=factor)
continue
else:
# After we have the right argument choice, we keep it.
fixed_args = True
break
runtimes.append(elapsed)
return {
'iterations': self.get_iterations(args),
'arguments': args,
'runtimes': runtimes,
'frequency': self.frequency
}
def __init__(self):
llvm.initialize()
llvm.initialize_all_targets()
llvm.initialize_native_target()
llvm.initialize_native_asmprinter()
self.module = None
self._llvmmod = llvm.parse_assembly("")
self.target = llvm.Target.from_default_triple()
self.cpu = llvm.get_host_cpu_name()
self.cpu_features = llvm.get_host_cpu_features()
self.target_machine = self.target.create_target_machine(
cpu=self.cpu, features=self.cpu_features.flatten(), opt=2)
llvm.check_jit_execution()
self.ee = llvm.create_mcjit_compiler(self.llvmmod, self.target_machine)
self.ee.finalize_object()
self.fptr = None
def evaluate(self, optimize: bool, llvmdump: bool) -> Any:
"""Validates the AST already transformed into LLVM IR, calls the responsible
method to optimize the code and turns it into Machine code.
Args:
optimize (bool): flag to indicate the optimization
llvmdump (bool): flag to indicate the impression of the results achieved
by the LLVM
"""
self.codegen.visit(self.tree)
self.codegen.module.triple = self.target.triple
self.codegen.module.name = self.source_file
str_source_module = str(self.codegen.module)
if llvmdump:
print("\n======== Unoptimized LLVM IR ========\n")
print(str_source_module)
self._save_code(str_source_module, "unoptz_ir_dpl", "ll")
# Convert LLVM IR into in-memory representation
llvmmod = llvm.parse_assembly(str(self.codegen.module))
# Optimize the module
self._optimize_module(optimize, llvmdump, llvmmod)
cpu = llvm.get_host_cpu_name()
target_machine = self.target.create_target_machine(cpu)
with llvm.create_mcjit_compiler(llvmmod, target_machine) as mcjit_c:
mcjit_c.finalize_object()
asm_code = target_machine.emit_assembly(llvmmod)
if llvmdump:
print("\n======== Machine code ========\n")
print(asm_code)
self._save_code(asm_code, "asm_dpl", "asm")
fptr = CFUNCTYPE(c_double)(mcjit_c.get_function_address(
self.codegen.func_name))
result = fptr()
return result
def run(self, stats):
logging.debug("Preparing execution...")
import ctypes
import llvmlite
import os
_lib_dir = os.path.dirname(llvm.ffi.__file__)
clib = ctypes.CDLL(
os.path.join(_lib_dir, llvmlite.utils.get_library_name()))
# Direct access as below mangles the name
# f = clib.__powidf2
f = getattr(clib, '__powidf2')
llvm.add_symbol('__powidf2', ctypes.cast(f, ctypes.c_void_p).value)
with llvm.create_mcjit_compiler(self.llmod(),
self.target_machine) as ee:
ee.finalize_object()
entry = self.module.entry
ret_type = entry.result.type
logging.info("running {0}{1}".format(
entry, list(zip(entry.type_.arg_types,
self.module.entry_args))))
entry_ptr = ee.get_pointer_to_global(self.llmod().get_function(
self.llvm.name))
ret_ctype = entry.result.type.Ctype()
if ret_type.on_heap:
ret_ctype = ctypes.POINTER(ret_ctype)
cfunc = ctypes.CFUNCTYPE(ret_ctype)(entry_ptr)
time_start = time.time()
retval = cfunc()
stats['elapsed'] = time.time() - time_start
for arg in self.module.entry_args:
arg.ctype2Python(self.cge) # may be a no-op if not necessary
retval = ret_type.unpack(retval)
logging.debug("Returning...")
self.destruct()
return retval
def evaluate(self, codestr, optimize=True, llvmdump=False, args=None):
ast = self.parser.parse(codestr)
self.codegen.generate_code(ast)
if llvmdump:
tempstr = str(self.codegen.module)
with (open("temp.ir", "w")) as f:
f.write(tempstr)
print(str(self.codegen.module))
llvmmod = llvm.parse_assembly(str(self.codegen.module))
if optimize:
pmb = llvm.create_pass_manager_builder()
pmb.opt_level = 2
pm = llvm.create_module_pass_manager()
pmb.populate(pm)
pm.run(llvmmod)
if llvmdump:
tempbcode = str(llvmmod)
with (open("temp.ooptimize.bcode", "w")) as f:
f.write(tempbcode)
target_machine = self.target.create_target_machine()
self.ee = llvm.create_mcjit_compiler(llvmmod, target_machine)
self.ee.finalize_object()
if llvmdump:
tempbcode = target_machine.emit_assembly(llvmmod)
with (open("temp.bcode", "w")) as f:
f.write(tempbcode)
# func = llvmmod.get_function(ast.proto.name)
func = llvmmod.get_function("main")
return_type = get_c_type_from_ir(self.codegen.return_type)
# how to get main args type
fptr = CFUNCTYPE(return_type)(self.ee.get_pointer_to_function(func))
#
if args is None:
args = []
result = fptr(*args)
return result
def exitProgram(self, ctx):
print "* Target cpu: " + llvm.get_host_cpu_name()
programAst = ProgramAST()
for child in ctx.getChildren():
child_ast = self.prop[child]
programAst.asts.append(child_ast)
mod, cfg_list = programAst.codeGenerate(self.var_ptr_symbolTBL)
strmod = str(mod)
print "=== Generated IR code ===\n"
print strmod
with open("output.ll", 'w') as f:
f.write(strmod)
llmod = llvm.parse_assembly(strmod)
answer = raw_input('* Optimizing this code? (y/n): ')
if answer.lower() == "y":
opt = True
else:
opt = False
if opt:
pm = llvm.create_module_pass_manager()
pmb = llvm.create_pass_manager_builder()
pmb.opt_level = 3 # -O3
pmb.populate(pm)
# optimize
pm.run(llmod)
print "=== Generated optimized IR code ===\n"
print llmod
with open("output_opt.ll", 'w') as f:
f.write(str(llmod))
llmod.verify()
with llvm.create_mcjit_compiler(llmod, self.tm) as ee:
ee.finalize_object()
print "=== Generated assembly code ===\n"
print(self.tm.emit_assembly(llmod))
with open("output.asm", 'w') as f:
f.write(self.tm.emit_assembly(llmod))
answer = raw_input('Do you want to create CFG Graph? (y/n) : ')
if answer.lower() == 'y':
for cfg in cfg_list:
dot = llvm.get_function_cfg(cfg)
llvm.view_dot_graph(dot ,filename=cfg.name,view = True)
def _init(self, llvm_module):
assert list(llvm_module.global_variables) == [], "Module isn't empty"
target = ll.Target.from_triple(ll.get_process_triple())
tm_options = dict(opt=config.OPT)
self._tm_features = self._customize_tm_features()
self._customize_tm_options(tm_options)
tm = target.create_target_machine(**tm_options)
engine = ll.create_mcjit_compiler(llvm_module, tm)
self._tm = tm
self._engine = JitEngine(engine)
self._target_data = engine.target_data
self._data_layout = str(self._target_data)
self._mpm = self._module_pass_manager()
self._engine.set_object_cache(self._library_class._object_compiled_hook,
self._library_class._object_getbuffer_hook)
def _init(self, llvm_module):
assert list(llvm_module.global_variables) == [], "Module isn't empty"
target = ll.Target.from_triple(ll.get_process_triple())
tm_options = dict(opt=config.OPT)
self._tm_features = self._customize_tm_features()
self._customize_tm_options(tm_options)
tm = target.create_target_machine(**tm_options)
engine = ll.create_mcjit_compiler(llvm_module, tm)
self._tm = tm
self._engine = engine
self._target_data = engine.target_data
self._data_layout = str(self._target_data)
self._mpm = self._module_pass_manager()
self._engine.set_object_cache(self._library_class._object_compiled_hook,
self._library_class._object_getbuffer_hook)
def exitProgram(self, ctx):
print "* Target cpu: " + llvm.get_host_cpu_name()
programAst = ProgramAST()
for child in ctx.getChildren():
child_ast = self.prop[child]
programAst.asts.append(child_ast)
mod, cfg_list = programAst.codeGenerate(self.var_ptr_symbolTBL)
strmod = str(mod)
print "=== Generated IR code ===\n"
print strmod
with open("output.ll", 'w') as f:
f.write(strmod)
llmod = llvm.parse_assembly(strmod)
answer = raw_input('* Optimizing this code? (y/n): ')
if answer.lower() == "y":
opt = True
else:
opt = False
if opt:
pm = llvm.create_module_pass_manager()
pmb = llvm.create_pass_manager_builder()
pmb.opt_level = 3 # -O3
pmb.populate(pm)
# optimize
pm.run(llmod)
print "=== Generated optimized IR code ===\n"
print llmod
with open("output_opt.ll", 'w') as f:
f.write(str(llmod))
llmod.verify()
with llvm.create_mcjit_compiler(llmod, self.tm) as ee:
ee.finalize_object()
print "=== Generated assembly code ===\n"
print(self.tm.emit_assembly(llmod))
with open("output.asm", 'w') as f:
f.write(self.tm.emit_assembly(llmod))
answer = raw_input('Do you want to create CFG Graph? (y/n) : ')
if answer.lower() == 'y':
for cfg in cfg_list:
dot = llvm.get_function_cfg(cfg)
llvm.view_dot_graph(dot, filename=cfg.name, view=True)
def begin(self):
global ir
global llvm
global c_fn_type
global c_int64
global engine
global int_type
from llvmlite import ir
import llvmlite.binding as llvm
from ctypes import CFUNCTYPE as c_fn_type
from ctypes import c_int64
llvm.initialize()
llvm.initialize_native_target()
llvm.initialize_native_asmprinter()
target = llvm.Target.from_default_triple()
target_machine = target.create_target_machine()
backing_mod = llvm.parse_assembly("")
engine = llvm.create_mcjit_compiler(backing_mod, target_machine)
int_type = ir.IntType(64)
def create_execution_engine():
"""
Create an ExecutionEngine suitable for JIT code generation on
the host CPU. The engine is reusable for an arbitrary number of
modules.
"""
import llvmlite.binding as llvm
llvm.initialize()
llvm.initialize_native_target()
llvm.initialize_native_asmprinter() # yes, even this one
# Create a target machine representing the host
target = llvm.Target.from_default_triple()
target_machine = target.create_target_machine()
# And an execution engine with an empty backing module
backing_mod = llvm.parse_assembly("")
engine = llvm.create_mcjit_compiler(backing_mod, target_machine)
return engine, target_machine
def run(self, stats):
logging.debug("Preparing execution...")
import ctypes
import llvmlite
import os
_lib_dir = os.path.dirname(llvm.ffi.__file__)
clib = ctypes.CDLL(os.path.join(_lib_dir, llvmlite.utils.get_library_name()))
# Direct access as below mangles the name
# f = clib.__powidf2
f = getattr(clib, '__powidf2')
llvm.add_symbol('__powidf2', ctypes.cast(f, ctypes.c_void_p).value)
with llvm.create_mcjit_compiler(self.llmod(), self.target_machine) as ee:
ee.finalize_object()
entry = self.module.entry
ret_type = entry.result.type
logging.info("running {0}{1}".format(entry,
list(zip(entry.type_.arg_types,
self.module.entry_args))))
entry_ptr = ee.get_pointer_to_global(self.llmod().get_function(self.llvm.name))
ret_ctype = entry.result.type.Ctype()
if ret_type.on_heap:
ret_ctype = ctypes.POINTER(ret_ctype)
cfunc = ctypes.CFUNCTYPE(ret_ctype)(entry_ptr)
time_start = time.time()
retval = cfunc()
stats['elapsed'] = time.time() - time_start
for arg in self.module.entry_args:
arg.ctype2Python(self.cge) # may be a no-op if not necessary
retval = ret_type.unpack(retval)
logging.debug("Returning...")
self.destruct()
return retval
def __init__(self,
cli_executable=None,
cli_options=None,
llvmlite_engine=None):
if llvmlite_engine is None:
# Create a target machine representing the host
target = llvm.Target.from_default_triple()
target_machine = target.create_target_machine()
# And an execution engine with an empty backing module
backing_mod = llvm.parse_assembly("")
llvmlite_engine = llvm.create_mcjit_compiler(
backing_mod, target_machine)
self._engine = llvmlite_engine
self.default_profile_dir = tempfile.TemporaryDirectory()
self.current_profile_dir: Optional[str] = None
self.c_compiler = distutils.ccompiler.new_compiler()
self._cli = MlirOptCli(cli_executable, cli_options)
self.name_to_callable: Dict[str, Callable] = {}
return
def _init(self, llvm_module):
assert list(llvm_module.global_variables) == [], "Module isn't empty"
target = ll.Target.from_default_triple()
tm_options = dict(cpu='', features='', opt=config.OPT)
self._customize_tm_options(tm_options)
tm = target.create_target_machine(**tm_options)
# MCJIT is still defective under Windows
if sys.platform.startswith('win32'):
engine = ll.create_jit_compiler_with_tm(llvm_module, tm)
else:
engine = ll.create_mcjit_compiler(llvm_module, tm)
tli = ll.create_target_library_info(llvm_module.triple)
self._tli = tli
self._tm = tm
self._engine = engine
self._target_data = engine.target_data
self._data_layout = str(self._target_data)
self._mpm = self._module_pass_manager()
def generate_mandelbrot(codestr, optimize=False, llvmdump=False, asmdump=False):
e = KaleidoscopeEvaluator()
ast = Ast_Ks.Test_Parse_ks(codestr)
main_name = e.evaluate(ast)
if llvmdump:
print('======== Unoptimized LLVM IR')
print(str(e.codegen.module))
ss = str(e.codegen.module)
llvmmod = llvm.parse_assembly(ss)
# Optimize the module
if optimize:
pmb = llvm.create_pass_manager_builder()
pmb.opt_level = 2
pm = llvm.create_module_pass_manager()
pmb.populate(pm)
pm.run(llvmmod)
if llvmdump:
print('======== Optimized LLVM IR')
print(str(llvmmod))
target_machine = e.target.create_target_machine()
with llvm.create_mcjit_compiler(llvmmod, target_machine) as ee:
ee.finalize_object()
if asmdump:
print('======== Machine code')
print(target_machine.emit_assembly(llvmmod))
fptr = CFUNCTYPE(c_double)(ee.get_function_address(main_name))
result = fptr()
return result
def jit(self, mod, target_machine=None):
if target_machine is None:
target_machine = self.target_machine()
return llvm.create_mcjit_compiler(mod, target_machine)
mod = lc.Module()
mod.triple = llvm.get_default_triple()
func = lc.Function(mod, lc.FunctionType(lc.VoidType(), [lc.IntType(32)]),
name='foo')
builder = lc.IRBuilder(func.append_basic_block())
builder.ret_void()
print(mod)
mod = llvm.parse_assembly(str(mod))
mod.verify()
print(repr(mod))
print(mod)
with llvm.create_module_pass_manager() as pm:
with llvm.create_pass_manager_builder() as pmb:
pmb.populate(pm)
pm.run(mod)
print(mod)
tm = llvm.Target.from_default_triple().create_target_machine()
ee = llvm.create_mcjit_compiler(mod, tm)
func = mod.get_function("foo")
print(func, ee.get_function_address("foo"))
ee.close()
llvm.shutdown()
# By Mitch Myburgh (MYBMIT001)
# 24 09 2015
#----------------------------------------------
#imports
import llvmlite.binding as llvm
import ir_ula
import os
import sys
# All these initializations are required for code generation!
llvm.initialize()
llvm.initialize_native_target()
llvm.initialize_native_asmprinter() # yes, even this one
#generate the ir code and parse the machine code from it
module = str(ir_ula.run())
llvm_module = llvm.parse_assembly(str(module))
tm = llvm.Target.from_default_triple().create_target_machine()
# Compile the module to machine code using MCJIT
with llvm.create_mcjit_compiler(llvm_module, tm) as ee:
ee.finalize_object()
#print the output
infilename = sys.argv[1]
outfilename = os.path.splitext(infilename)[0]+".asm"
outfile = open(outfilename, "w")
print(tm.emit_assembly(llvm_module))
print(tm.emit_assembly(llvm_module), file = outfile)
outfile.close()
pm = llvm.create_module_pass_manager()
pmb.populate(pm)
t5 = time()
pm.run(llmod)
t6 = time()
print("-- optimize:", t6-t5)
t7 = time()
target_machine = llvm.Target.from_default_triple().create_target_machine()
with llvm.create_mcjit_compiler(llmod, target_machine) as ee:
ee.finalize_object()
cfptr = ee.get_pointer_to_global(llmod.get_function('sum'))
t8 = time()
print("-- JIT compile:", t8 - t7)
print(target_machine.emit_assembly(llmod))
cfunc = CFUNCTYPE(c_int, POINTER(c_int), c_int)(cfptr)
A = np.arange(10, dtype=np.int32)
res = cfunc(A.ctypes.data_as(POINTER(c_int)), A.size)
print(res, A.sum())
def type_for_value(value):
if isinstance(value, int):
if value <= sys.maxsize and value >= -sys.maxsize:
return coreast.int_type
else:
raise ValueError("Integer out of bounds")
elif isinstance(value, float):
return coreast.float_type
elif isinstance(value, bool):
return coreast.bool_type
raise ValueError("Unsupported type: " + repr(type(value)))
_target_machine = llvm.Target.from_default_triple().create_target_machine()
_engine = llvm.create_mcjit_compiler(llvm.parse_assembly(""), _target_machine)
def jitify(func):
ast = coreast.transform(func)
inference = coreast.InferenceVisitor()
signature = inference.visit(ast)
mgu = coreast.solve(inference.constraints)
inferred_type = coreast.apply_solution(mgu, signature)
print(func, inferred_type, file=sys.stderr)
cache = {}
def _wrapper(*args):
spec_arg_types = [type_for_value(val) for val in args]