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lpython.py
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772 lines (663 loc) · 24.6 KB
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from inspect import getfullargspec, getcallargs, isclass, getsource
import os
import ctypes
import platform
from dataclasses import dataclass, field, is_dataclass as py_is_dataclass
import functools
# TODO: this does not seem to restrict other imports
__slots__ = ["i8", "i16", "i32", "i64", "u8", "u16", "u32", "u64", "f32", "f64", "c32", "c64", "CPtr",
"overload", "ccall", "TypeVar", "pointer", "c_p_pointer", "Pointer",
"p_c_pointer", "vectorize", "inline", "Union", "static",
"packed", "Const", "sizeof", "ccallable", "ccallback", "Callable",
"Allocatable", "In", "Out", "InOut", "dataclass", "field", "S"]
# data-types
def get_sympy_S(x):
from sympy import S
return S(x)
type_to_convert_func = {
"i1": bool,
"i8": int,
"i16": int,
"i32": int,
"i64": int,
"u8": int,
"u16": int,
"u32": int,
"u64": int,
"f32": float,
"f64": float,
"c32": complex,
"c64": complex,
"c_ptr": lambda x: x,
"Const": lambda x: x,
"Callable": lambda x: x,
"Allocatable": lambda x: x,
"Pointer": lambda x: x,
"S": get_sympy_S,
}
class Type:
def __init__(self, name):
self._name = name
self._convert = type_to_convert_func[name]
def __getitem__(self, params):
return Array(self, params)
def __call__(self, arg):
return self._convert(arg)
def is_ctypes_Structure(obj):
return (isclass(obj) and issubclass(obj, ctypes.Structure))
def is_dataclass(obj):
return ((isclass(obj) and issubclass(obj, ctypes.Structure)) or
py_is_dataclass(obj))
class PointerType(Type):
def __getitem__(self, type):
if is_dataclass(type):
return convert_to_ctypes_Structure(type)
return type
class ConstType(Type):
def __getitem__(self, type):
return type
class Array:
def __init__(self, type, dims):
self._type = type
self._dims = dims
def __class_getitem__(self, params):
return Array(params[0], params[1:])
i1 = Type("i1")
i8 = Type("i8")
i16 = Type("i16")
i32 = Type("i32")
i64 = Type("i64")
u8 = Type("u8")
u16 = Type("u16")
u32 = Type("u32")
u64 = Type("u64")
f32 = Type("f32")
f64 = Type("f64")
c32 = Type("c32")
c64 = Type("c64")
CPtr = Type("c_ptr")
Const = ConstType("Const")
Callable = Type("Callable")
Allocatable = Type("Allocatable")
Pointer = PointerType("Pointer")
S = Type("S")
class Union:
def __init__(self):
pass
def __setattr__(self, name: str, value):
self.__dict__[name] = value
def __getattr__(self, name: str):
return self.__dict__[name]
class Intent:
def __init__(self, type):
self._type = type
def __getitem__(self, params):
return params
In = Intent("In")
Out = Intent("Out")
InOut = Intent("InOut")
# Generics
class TypeVar():
def __init__(self, name):
self._name = name
def __getitem__(self, params):
return Array(self, params)
def restriction(func):
return func
# Overloading support
def ltype(x):
"""
Converts CPython types to LPython types
"""
if type(x) == int:
return i32, i64
elif type(x) == float:
return f32, f64
elif type(x) == complex:
return c32, c64
elif type(x) == str:
return (str, )
elif type(x) == bool:
return (bool, )
raise Exception("Unsupported Type: %s" % str(type(x)))
class OverloadedFunction:
"""
A wrapper class for allowing overloading.
"""
global_map = {}
def __init__(self, func):
self.func_name = func.__name__
f_list = self.global_map.get(func.__name__, [])
f_list.append((func, getfullargspec(func)))
self.global_map[func.__name__] = f_list
def __call__(self, *args, **kwargs):
func_map_list = self.global_map.get(self.func_name, False)
if not func_map_list:
raise Exception("Function: %s is not defined" % self.func_name)
for item in func_map_list:
func, key = item
try:
# This might fail for the cases when arguments don't match
ann_dict = getcallargs(func, *args, **kwargs)
except TypeError:
continue
flag = True
for k, v in ann_dict.items():
if not key.annotations.get(k, False):
flag = False
break
else:
if not (key.annotations.get(k) in ltype(v)):
flag = False
break
if flag:
return func(*args, **kwargs)
raise Exception(f"Function: {self.func_name} not found with matching "
"signature")
def overload(f):
overloaded_f = OverloadedFunction(f)
overloaded_f.__name__ = f.__name__
overloaded_f.__code__ = f.__code__
overloaded_f.__annotations__ = f.__annotations__
return overloaded_f
# To be handled in ASR
def vectorize(f):
return f
# To be handled in backend
def inline(f):
return f
# To be handled in backend
def static(f):
return f
class PackedDataClass:
pass
def packed(*args, aligned=None):
if len(args) == 1:
if not is_dataclass(args[0]):
raise TypeError("packed can only be applied over a dataclass.")
class PackedDataClassLocal(args[0], PackedDataClass):
class_to_pack = args[0]
return PackedDataClassLocal
def _packed(f):
if not is_dataclass(f):
raise TypeError("packed can only be applied over a dataclass.")
class PackedDataClassLocal(f, PackedDataClass):
class_to_pack = f
return PackedDataClassLocal
return _packed
def interface(f):
def inner_func():
raise Exception("Unexpected to be called by CPython")
return inner_func
# C interoperation support
class c_complex(ctypes.Structure):
def __eq__(self, other):
if isinstance(other, complex):
return self.real == other.real and self.imag == other.imag
elif isinstance(other, (int, float)):
return self.real == other and self.imag == 0.0
return super().__eq__(other)
def __sub__(self, other):
import numpy as np
if isinstance(other, (complex, np.complex64, np.complex128)):
return complex(self.real - other.real, self.imag - other.imag)
elif isinstance(other, (int, float)):
return complex(self.real - other, self.imag)
raise NotImplementedError()
class c_float_complex(c_complex):
_fields_ = [("real", ctypes.c_float), ("imag", ctypes.c_float)]
class c_double_complex(c_complex):
_fields_ = [("real", ctypes.c_double), ("imag", ctypes.c_double)]
def convert_type_to_ctype(arg):
from enum import Enum
if arg == f64:
return ctypes.c_double
elif arg == f32:
return ctypes.c_float
elif arg == i64:
return ctypes.c_int64
elif arg == i32:
return ctypes.c_int32
elif arg == i16:
return ctypes.c_int16
elif arg == i8:
return ctypes.c_int8
elif arg == u64:
return ctypes.c_uint64
elif arg == u32:
return ctypes.c_uint32
elif arg == u16:
return ctypes.c_uint16
elif arg == u8:
return ctypes.c_uint8
elif arg == CPtr:
return ctypes.c_void_p
elif arg == str:
return ctypes.c_char_p
elif arg == c32:
return c_float_complex
elif arg == c64:
return c_double_complex
elif arg == bool:
return ctypes.c_bool
elif arg == Callable:
return ctypes.PYFUNCTYPE(None)
elif arg is None:
raise NotImplementedError("Type cannot be None")
elif isinstance(arg, Array):
if is_dataclass(arg._type):
return arg
type = convert_type_to_ctype(arg._type)
return ctypes.POINTER(type)
elif is_dataclass(arg):
return convert_to_ctypes_Structure(arg)
elif issubclass(arg, Enum):
# TODO: store enum in ctypes.Structure with name and value as fields.
return ctypes.c_int64
else:
raise NotImplementedError("Type %r not implemented" % arg)
def convert_numpy_dtype_to_ctype(arg):
import numpy as np
if arg == np.float64:
return ctypes.c_double
elif arg == np.float32:
return ctypes.c_float
elif arg == np.int64:
return ctypes.c_int64
elif arg == np.int32:
return ctypes.c_int32
elif arg == np.int16:
return ctypes.c_int16
elif arg == np.int8:
return ctypes.c_int8
elif arg == np.uint64:
return ctypes.c_uint64
elif arg == np.uint32:
return ctypes.c_uint32
elif arg == np.uint16:
return ctypes.c_uint16
elif arg == np.uint8:
return ctypes.c_uint8
elif arg == np.void:
return ctypes.c_void_p
elif arg is None:
raise NotImplementedError("Type cannot be None")
else:
raise NotImplementedError("Type %r not implemented" % arg)
class CTypes:
"""
A wrapper class for interfacing C via ctypes.
"""
def __init__(self, f, py_mod = None, py_mod_path = None):
def get_rtlib_dir():
current_dir = os.path.dirname(os.path.abspath(__file__))
return os.path.join(current_dir, "..")
def get_lib_name(name):
if platform.system() == "Linux":
return "lib" + name + ".so"
elif platform.system() == "Darwin":
return "lib" + name + ".dylib"
elif platform.system() == "Windows":
return name + ".dll"
else:
raise NotImplementedError("Platform not implemented")
def get_crtlib_path():
nonlocal py_mod, py_mod_path
if py_mod is None:
py_mod = os.environ.get("LPYTHON_PY_MOD_NAME", "")
if py_mod == "":
return os.path.join(get_rtlib_dir(),
get_lib_name("lpython_runtime"))
else:
if py_mod_path is None:
py_mod_path = os.environ["LPYTHON_PY_MOD_PATH"]
return os.path.join(py_mod_path, get_lib_name(py_mod))
self.name = f.__name__
self.args = f.__code__.co_varnames
self.annotations = f.__annotations__
if ("LPYTHON_PY_MOD_NAME" in os.environ) or (py_mod is not None):
crtlib = get_crtlib_path()
self.library = ctypes.CDLL(crtlib)
self.cf = self.library[self.name]
else:
self.cf = CTypes.emulations[self.name]
argtypes = []
for arg in self.args:
arg_type = self.annotations[arg]
arg_ctype = convert_type_to_ctype(arg_type)
argtypes.append(arg_ctype)
self.cf.argtypes = argtypes
self.cf.restype = None
if "return" in self.annotations:
res_type = self.annotations["return"]
if res_type is not None:
self.cf.restype = convert_type_to_ctype(res_type)
def __call__(self, *args, **kwargs):
if len(kwargs) > 0:
raise Exception("kwargs are not supported")
new_args = []
for arg in args:
import numpy as np
if isinstance(arg, str):
new_args.append(arg.encode("utf-8"))
elif isinstance(arg, np.ndarray):
new_args.append(arg.ctypes.data_as(ctypes.POINTER(convert_numpy_dtype_to_ctype(arg.dtype))))
else:
new_args.append(arg)
res = self.cf(*new_args)
if self.cf.restype == ctypes.c_char_p:
res = res.decode("utf-8")
return res
def convert_to_ctypes_Union(f):
fields = []
for name in f.__annotations__:
ltype_ = f.__annotations__[name]
fields.append((name, convert_type_to_ctype(ltype_)))
f._fields_ = fields
f.__annotations__ = {}
return f
def get_fixed_size_of_array(ltype_: Array):
if isinstance(ltype_._dims, tuple):
size = 1
for dim in ltype_._dims:
if not isinstance(dim, int):
return None
size *= dim
elif isinstance(ltype_._dims, int):
return ltype_._dims
return None
def convert_to_ctypes_Structure(f):
fields = []
pack_class = issubclass(f, PackedDataClass)
if pack_class:
f = f.class_to_pack
if not issubclass(f, ctypes.Structure):
for name in f.__annotations__:
ltype_ = f.__annotations__[name]
if isinstance(ltype_, Array):
array_size = get_fixed_size_of_array(ltype_)
if array_size is not None:
ltype_ = ltype_._type
fields.append((name, convert_type_to_ctype(ltype_) * array_size))
else:
fields.append((name, convert_type_to_ctype(ltype_)))
else:
fields.append((name, convert_type_to_ctype(ltype_)))
else:
fields = f._fields_
pack_class = pack_class or f._pack_
class ctypes_Structure(ctypes.Structure):
_pack_ = int(pack_class)
_fields_ = fields
def __init__(self, *args):
if len(args) != 0 and len(args) != len(self._fields_):
super().__init__(*args)
for field, arg in zip(self._fields_, args):
from enum import Enum
member = self.__getattribute__(field[0])
value = arg
if isinstance(member, ctypes.Array):
import numpy as np
if isinstance(value, np.ndarray):
if value.dtype == np.complex64:
value = value.flatten().tolist()
value = [c_float_complex(val.real, val.imag) for val in value]
elif value.dtype == np.complex128:
value = value.flatten().tolist()
value = [c_double_complex(val.real, val.imag) for val in value]
value = type(member)(*value)
elif isinstance(value, Enum):
value = value.value
self.__setattr__(field[0], value)
ctypes_Structure.__name__ = f.__name__
return ctypes_Structure
def ccall(f=None, header=None, c_shared_lib=None, c_shared_lib_path=None):
def wrap(func):
if not isclass(func) or not issubclass(func, Union):
func = CTypes(func, c_shared_lib, c_shared_lib_path)
return func
if f:
return wrap(f)
return wrap
def pythoncall(*args, **kwargs):
def inner(fn):
import importlib
module = importlib.import_module(kwargs["module"])
fn_new = getattr(module, fn.__name__)
return fn_new
return inner
def union(f):
fields = []
fa = {}
for name in f.__annotations__:
ltype_ = f.__annotations__[name]
ltype_ = convert_type_to_ctype(ltype_)
fa[name] = ltype_
fields.append((name, ltype_))
f._fields_ = fields
f.__annotations__ = fa
return f
def pointer(x, type_=None):
if type_ is None:
type_ = type(x)
from numpy import ndarray
if isinstance(x, ndarray):
return x.ctypes.data_as(ctypes.POINTER(convert_numpy_dtype_to_ctype(x.dtype)))
else:
if type_ == i8:
return ctypes.cast(ctypes.pointer(ctypes.c_int8(x)),
ctypes.c_void_p)
elif type_ == i16:
return ctypes.cast(ctypes.pointer(ctypes.c_int16(x)),
ctypes.c_void_p)
elif type_ == i32:
return ctypes.cast(ctypes.pointer(ctypes.c_int32(x)),
ctypes.c_void_p)
elif type_ == i64:
return ctypes.cast(ctypes.pointer(ctypes.c_int64(x)),
ctypes.c_void_p)
elif type_ == u8:
return ctypes.cast(ctypes.pointer(ctypes.c_uint8(x)),
ctypes.c_void_p)
elif type_ == u16:
return ctypes.cast(ctypes.pointer(ctypes.c_uint16(x)),
ctypes.c_void_p)
elif type_ == u32:
return ctypes.cast(ctypes.pointer(ctypes.c_uint32(x)),
ctypes.c_void_p)
elif type_ == u64:
return ctypes.cast(ctypes.pointer(ctypes.c_uint64(x)),
ctypes.c_void_p)
elif type_ == f32:
return ctypes.cast(ctypes.pointer(ctypes.c_float(x)),
ctypes.c_void_p)
elif type_ == f64:
return ctypes.cast(ctypes.pointer(ctypes.c_double(x)),
ctypes.c_void_p)
elif is_dataclass(type_):
if issubclass(type_, ctypes.Structure):
return ctypes.cast(ctypes.pointer(x), ctypes.c_void_p)
else:
return x
else:
raise Exception("Type not supported in pointer()")
class PointerToStruct:
def __init__(self, ctypes_ptr_):
self.__dict__["ctypes_ptr"] = ctypes_ptr_
def __getattr__(self, name: str):
if name == "ctypes_ptr":
return self.__dict__[name]
value = self.ctypes_ptr.contents.__getattribute__(name)
if isinstance(value, (c_float_complex, c_double_complex)):
value = complex(value.real, value.imag)
return value
def __setattr__(self, name: str, value):
name_ = self.ctypes_ptr.contents.__getattribute__(name)
from enum import Enum
if isinstance(name_, c_float_complex):
if isinstance(value, complex):
value = c_float_complex(value.real, value.imag)
else:
value = c_float_complex(value.real, 0.0)
elif isinstance(name_, c_double_complex):
if isinstance(value, complex):
value = c_double_complex(value.real, value.imag)
else:
value = c_double_complex(value.real, 0.0)
elif isinstance(name_, ctypes.Array):
import numpy as np
if isinstance(value, np.ndarray):
if value.dtype == np.complex64:
value = value.flatten().tolist()
value = [c_float_complex(val.real, val.imag) for val in value]
elif value.dtype == np.complex128:
value = value.flatten().tolist()
value = [c_double_complex(val.real, val.imag) for val in value]
value = type(name_)(*value)
elif isinstance(value, Enum):
value = value.value
self.ctypes_ptr.contents.__setattr__(name, value)
def c_p_pointer(cptr, targettype, targetshape=None):
targettype_ptr = convert_type_to_ctype(targettype)
if isinstance(targettype, Array):
if targetshape is None:
raise ValueError("target shape must be "
"provided if target type is an array.")
# TODO: Add support for multi-dimensional shape of target variable
if py_is_dataclass(targettype._type):
return ctypes.cast(cptr.value, ctypes.py_object).value
newa = ctypes.cast(cptr, targettype_ptr)
return newa
else:
if py_is_dataclass(targettype):
if cptr.value is None:
return None
return ctypes.cast(cptr, ctypes.py_object).value
targettype_ptr = ctypes.POINTER(targettype_ptr)
newa = ctypes.cast(cptr, targettype_ptr)
if is_ctypes_Structure(targettype):
# return after wrapping newa inside PointerToStruct
return PointerToStruct(newa)
return newa
def p_c_pointer(ptr, cptr):
if isinstance(ptr, ctypes.c_void_p):
cptr.value = ptr.value
else:
# assign the address of ptr in memory to cptr.value
# the case for numpy arrays converted to a pointer
cptr.value = id(ptr)
def empty_c_void_p():
class ctypes_c_void_p(ctypes.c_void_p):
def __eq__(self, value):
return self.value == value.value
def __repr__(self):
return str(self.value)
return ctypes_c_void_p()
def cptr_to_u64(cptr):
return u64(ctypes.cast(cptr, ctypes.c_void_p).value)
def u64_to_cptr(ivalue):
return ctypes.c_void_p(i64(ivalue))
def sizeof(arg):
return ctypes.sizeof(convert_type_to_ctype(arg))
def ccallable(f):
if py_is_dataclass(f):
return convert_to_ctypes_Structure(f)
return f
def ccallback(f):
return f
class LpythonJITCache:
def __init__(self):
self.pyfunc2compiledfunc = {}
def compile(self, function, backend, optimisation_flags):
if function in self.pyfunc2compiledfunc:
return self.pyfunc2compiledfunc[function]
if optimisation_flags is not None and backend is None:
raise ValueError("backend must be specified if backend_optimisation_flags are provided.")
if backend is None:
backend = "c"
def get_rtlib_dir():
current_dir = os.path.dirname(os.path.abspath(__file__))
return os.path.join(current_dir, "..")
fn_name = function.__name__
# Get the source code of the function
source_code = getsource(function)
source_code = source_code[source_code.find('\n'):]
dir_name = "./lpython_decorator_" + fn_name
if not os.path.exists(dir_name):
os.mkdir(dir_name)
filename = dir_name + "/" + fn_name
# Open the file for writing
with open(filename + ".py", "w") as file:
# Write the Python source code to the file
file.write("@pythoncallable")
file.write(source_code)
if backend != "c":
raise NotImplementedError("Backend %s is not supported with @lpython yet."%(backend))
opt_flags = " "
if optimisation_flags is not None:
for opt_flag in optimisation_flags:
opt_flags += opt_flag + " "
# ----------------------------------------------------------------------
# Generate the shared library
# TODO: Use LLVM instead of C backend
r = os.system("lpython --show-c --disable-main "
+ filename + ".py > " + filename + ".c")
assert r == 0, "Failed to create C file"
gcc_flags = ""
if platform.system() == "Linux":
gcc_flags = " -shared -fPIC"
elif platform.system() == "Darwin":
gcc_flags = " -bundle -flat_namespace -undefined suppress"
else:
raise NotImplementedError("Platform not implemented")
gcc_flags += opt_flags
from numpy import get_include
from distutils.sysconfig import get_python_inc, get_python_lib, \
get_python_version
python_path = "-I" + get_python_inc() + " "
numpy_path = "-I" + get_include() + " "
rt_path_01 = "-I" + get_rtlib_dir() + "/../../libasr/src/libasr/runtime "
rt_path_02 = "-L" + get_rtlib_dir() + " -Wl,-rpath," \
+ get_rtlib_dir() + " -llpython_runtime "
python_lib = "-L" + get_python_lib() + "/../.." + f" -Wl,-rpath,{get_python_lib()+'/../..'}" + " -lpython" + \
get_python_version() + " -lm"
# ----------------------------------------------------------------------
# Compile the C file and create a shared library
shared_library_name = "lpython_module_" + fn_name
r = os.system("gcc -g" + gcc_flags + python_path + numpy_path +
filename + ".c -o " + shared_library_name + ".so " +
rt_path_01 + rt_path_02 + python_lib)
assert r == 0, "Failed to create the shared library"
self.pyfunc2compiledfunc[function] = (shared_library_name, fn_name)
return self.pyfunc2compiledfunc[function]
lpython_jit_cache = LpythonJITCache()
# Taken from https://stackoverflow.com/a/24617244
def lpython(original_function=None, backend=None, backend_optimisation_flags=None):
"""
The @lpython decorator compiles a given function using LPython.
The decorator should be used from CPython mode, i.e., when the module is
being run using CPython. When possible, it is recommended to use LPython
for the main program, and use the @cpython decorator from the LPython mode
to access CPython features that are not supported by LPython.
"""
def _lpython(function):
@functools.wraps(function)
def __lpython(*args, **kwargs):
import sys; sys.path.append('.')
lib_name, fn_name = lpython_jit_cache.compile(
function, backend, backend_optimisation_flags)
return getattr(__import__(lib_name), fn_name)(*args, **kwargs)
return __lpython
if original_function:
return _lpython(original_function)
return _lpython
def bitnot(x, bitsize):
return (~x) % (2 ** bitsize)
def reserve(data_structure, n):
if isinstance(data_structure, list):
data_structure = [None] * n
# no-op
bitnot_u8 = lambda x: bitnot(x, 8)
bitnot_u16 = lambda x: bitnot(x, 16)
bitnot_u32 = lambda x: bitnot(x, 32)
bitnot_u64 = lambda x: bitnot(x, 64)