def gv_from_python(x, llvm_type = None):
if isinstance(x, GenericValue):
return x
elif isinstance(x, (int,long)):
llvm_type = ty_int64 if llvm_type is None else llvm_type
assert is_llvm_int_type(llvm_type), \
"Expected LLVM integer type, not %s" % (llvm_type,)
return GenericValue.int(llvm_type, x)
elif isinstance(x, float):
llvm_type = ty_float64 if llvm_type is None else llvm_type
assert is_llvm_float_type(llvm_type), \
"Expected LLVM float type, not %s" % (llvm_type,)
return GenericValue.real(llvm_type, x)
elif isinstance(x, bool):
llvm_type = ty_int8 if llvm_type is None else llvm_type
assert is_llvm_int_type(llvm_type), \
"Expected LLVM integer type, not %s" % (llvm_type,)
return GenericValue.int(llvm_type, x)
else:
assert isinstance(x, np.ndarray)
assert llvm_type is not None
assert is_llvm_ptr_type(llvm_type), \
"Native argument receiving numpy array must be a pointer, not %s" % (llvm_type,)
elt_type = llvm_type.pointee
assert is_llvm_float_type(elt_type) or is_llvm_int_type(elt_type)
assert elt_type == python_to_lltype(x.dtype), \
"Can't pass array with %s* data pointer to function that expects %s*" % (x.dtype, elt_type)
return GenericValue.pointer(x.ctypes.data)
def ctypes_to_generic_value(cval, t):
if isinstance(t, FloatT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.real(llvm_t, cval.value)
elif isinstance(t, SignedT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.int_signed(llvm_t, cval.value)
elif isinstance(t, IntT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.int(llvm_t, cval.value)
elif isinstance(t, NoneT):
return GenericValue.int(llvm_types.int64_t, 0)
elif isinstance(t, PtrT):
return GenericValue.pointer(ctypes.addressof(cval.contents))
else:
return GenericValue.pointer(ctypes.addressof(cval))
def ctypes_to_generic_value(cval, t):
if isinstance(t, FloatT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.real(llvm_t, cval.value)
elif isinstance(t, SignedT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.int_signed(llvm_t, cval.value)
elif isinstance(t, IntT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.int(llvm_t, cval.value)
elif isinstance(t, NoneT):
return GenericValue.int(llvm_types.int64_t, 0)
elif isinstance(t, PtrT):
return GenericValue.pointer(ctypes.addressof(cval.contents))
else:
return GenericValue.pointer(ctypes.addressof(cval))
def python_to_generic_value(x, t):
if isinstance(t, core_types.FloatT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.real(llvm_t, x)
elif isinstance(t, core_types.SignedT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.int_signed(llvm_t, x)
elif isinstance(t, core_types.IntT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.int(llvm_t, x)
elif isinstance(t, core_types.PtrT):
return GenericValue.pointer(x)
else:
ctypes_obj = type_conv.from_python(x)
return GenericValue.pointer(ctypes.addressof(ctypes_obj))
def python_to_generic_value(x, t):
if isinstance(t, FloatT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.real(llvm_t, x)
elif isinstance(t, SignedT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.int_signed(llvm_t, x)
elif isinstance(t, IntT):
llvm_t = llvm_types.llvm_value_type(t)
return GenericValue.int(llvm_t, x)
elif isinstance(t, PtrT):
return GenericValue.pointer(x)
else:
ctypes_obj = type_conv.from_python(x)
return GenericValue.pointer(ctypes.addressof(ctypes_obj))
def run( py_main_func, *call_args ):
from rpy.rtypes import ConstantTypeRegistry
registry = ConstantTypeRegistry()
# Annotates call graph types (local var, functions param/return...)
print( '\nAnalysing call graph...\n%s' % ('='*70) )
annotator = CallableGraphAnnotator( registry )
annotator.set_entry_point( py_main_func, call_args )
annotator.annotate_dependencies()
# Generate LLVM code
from rpy.codegenerator import ModuleGenerator, FunctionCodeGenerator, L_INT_TYPE, L_BOOL_TYPE
module = ModuleGenerator( registry )
l_func_entry, l_func_type = None, None
# Declares all function in modules
fn_code_generators = []
for r_func_type, type_annotator in annotator.annotator_by_callable.items():
py_func = r_func_type.get_function_object()
print( '\nDeclaring function:\n%s\nPython: %s\nRType: %s' % ('-'*70, py_func, r_func_type) )
func_generator = FunctionCodeGenerator( py_func, module,
annotator )
fn_code_generators.append( (r_func_type, func_generator) )
# Makes sure that all class type have their struct/attribute index dict initialized
for r_func_type, _ in fn_code_generators:
if r_func_type.is_constructor():
module.llvm_type_from_rtype( r_func_type )
# Generates function's code, possibly referencing previously declared functions
for r_func_type, func_generator in fn_code_generators:
print( '\nGenerating code for function:\n%s\n%s\nSouce:\n' % ('-'*70, r_func_type) )
print( func_generator.annotation.get_function_source() )
func_generator.generate_llvm_code()
func_generator.report()
if r_func_type.get_function_object() is py_main_func:
l_func_entry = func_generator.l_func
l_func_type = func_generator.l_func_type
print( 'Generated module code:' )
print( '----------------------\n%s', module.l_module )
optimize( module )
print( 'Generated module code after optimization:' )
print( '-----------------------------------------\n', module.l_module )
# Execute generate code
# 1) Convert call args into generic value
print( 'Invoking function with %r' % (call_args,) )
from llvm.core import ModuleProvider, TYPE_VOID
from llvm.ee import ExecutionEngine, GenericValue
module_provider = ModuleProvider.new( module.l_module )
engine = ExecutionEngine.new( module_provider )
l_call_args = []
for py_call_arg, l_arg in zip( call_args, l_func_entry.args ):
if l_arg.type == L_INT_TYPE:
l_call_args.append( GenericValue.int_signed( L_INT_TYPE, py_call_arg ) )
elif l_arg.type == L_BOOL_TYPE:
l_call_args.append( GenericValue.int( L_BOOL_TYPE, py_call_arg ) )
else:
raise ValueError( 'Unsupported parameter "%s" of type: %r' % (py_call_arg, l_arg_type) )
# 2) run the functions
l_return_value = engine.run_function( l_func_entry, l_call_args )
# 3) convert LLVM return value into python type
if l_func_type.return_type == L_INT_TYPE:
return l_return_value.as_int_signed()
elif l_func_type.return_type == L_BOOL_TYPE:
return l_return_value.as_int() and True or False
elif l_func_type.return_type.kind == TYPE_VOID:
return None
print( 'Return:', l_return_value )
raise ValueError( 'Unsupported return type "%s"' % l_func_entry.return_type )
def run(py_main_func, *call_args):
from rpy.rtypes import ConstantTypeRegistry
registry = ConstantTypeRegistry()
# Annotates call graph types (local var, functions param/return...)
print('\nAnalysing call graph...\n%s' % ('=' * 70))
annotator = CallableGraphAnnotator(registry)
annotator.set_entry_point(py_main_func, call_args)
annotator.annotate_dependencies()
# Generate LLVM code
from rpy.codegenerator import ModuleGenerator, FunctionCodeGenerator, L_INT_TYPE, L_BOOL_TYPE
module = ModuleGenerator(registry)
l_func_entry, l_func_type = None, None
# Declares all function in modules
fn_code_generators = []
for r_func_type, type_annotator in annotator.annotator_by_callable.items():
py_func = r_func_type.get_function_object()
print('\nDeclaring function:\n%s\nPython: %s\nRType: %s' %
('-' * 70, py_func, r_func_type))
func_generator = FunctionCodeGenerator(py_func, module, annotator)
fn_code_generators.append((r_func_type, func_generator))
# Makes sure that all class type have their struct/attribute index dict initialized
for r_func_type, _ in fn_code_generators:
if r_func_type.is_constructor():
module.llvm_type_from_rtype(r_func_type)
# Generates function's code, possibly referencing previously declared functions
for r_func_type, func_generator in fn_code_generators:
print('\nGenerating code for function:\n%s\n%s\nSouce:\n' %
('-' * 70, r_func_type))
print(func_generator.annotation.get_function_source())
func_generator.generate_llvm_code()
func_generator.report()
if r_func_type.get_function_object() is py_main_func:
l_func_entry = func_generator.l_func
l_func_type = func_generator.l_func_type
print('Generated module code:')
print('----------------------\n%s', module.l_module)
optimize(module)
print('Generated module code after optimization:')
print('-----------------------------------------\n', module.l_module)
# Execute generate code
# 1) Convert call args into generic value
print('Invoking function with %r' % (call_args, ))
from llvm.core import ModuleProvider, TYPE_VOID
from llvm.ee import ExecutionEngine, GenericValue
module_provider = ModuleProvider.new(module.l_module)
engine = ExecutionEngine.new(module_provider)
l_call_args = []
for py_call_arg, l_arg in zip(call_args, l_func_entry.args):
if l_arg.type == L_INT_TYPE:
l_call_args.append(GenericValue.int_signed(L_INT_TYPE,
py_call_arg))
elif l_arg.type == L_BOOL_TYPE:
l_call_args.append(GenericValue.int(L_BOOL_TYPE, py_call_arg))
else:
raise ValueError('Unsupported parameter "%s" of type: %r' %
(py_call_arg, l_arg_type))
# 2) run the functions
l_return_value = engine.run_function(l_func_entry, l_call_args)
# 3) convert LLVM return value into python type
if l_func_type.return_type == L_INT_TYPE:
return l_return_value.as_int_signed()
elif l_func_type.return_type == L_BOOL_TYPE:
return l_return_value.as_int() and True or False
elif l_func_type.return_type.kind == TYPE_VOID:
return None
print('Return:', l_return_value)
raise ValueError('Unsupported return type "%s"' % l_func_entry.return_type)
