def ptx_atomic_add_tuple(context, builder, sig, args):
aryty, indty, valty = sig.args
ary, inds, val = args
dtype = aryty.dtype
indices = cgutils.unpack_tuple(builder, inds, count=len(indty))
indices = [context.cast(builder, i, t, types.intp)
for t, i in zip(indty, indices)]
if dtype != valty:
raise TypeError("expect %s but got %s" % (dtype, valty))
if aryty.ndim != len(indty):
raise TypeError("indexing %d-D array with %d-D index" %
(aryty.ndim, len(indty)))
lary = context.make_array(aryty)(context, builder, ary)
ptr = cgutils.get_item_pointer(builder, aryty, lary, indices)
if aryty.dtype == types.float32:
lmod = cgutils.get_module(builder)
return builder.call(nvvmutils.declare_atomic_add_float32(lmod), (ptr, val))
elif aryty.dtype == types.float64:
lmod = cgutils.get_module(builder)
return builder.call(nvvmutils.declare_atomic_add_float64(lmod), (ptr, val))
else:
return builder.atomic_rmw('add', ptr, val, 'monotonic')
def ptx_atomic_add_tuple(context, builder, sig, args):
aryty, indty, valty = sig.args
ary, inds, val = args
dtype = aryty.dtype
indices = cgutils.unpack_tuple(builder, inds, count=len(indty))
indices = [context.cast(builder, i, t, types.intp)
for t, i in zip(indty, indices)]
if dtype != valty:
raise TypeError("expect %s but got %s" % (dtype, valty))
if aryty.ndim != len(indty):
raise TypeError("indexing %d-D array with %d-D index" %
(aryty.ndim, len(indty)))
lary = context.make_array(aryty)(context, builder, ary)
ptr = cgutils.get_item_pointer(builder, aryty, lary, indices)
if aryty.dtype == types.float32:
lmod = cgutils.get_module(builder)
return builder.call(nvvmutils.declare_atomic_add_float32(lmod), (ptr, val))
elif aryty.dtype == types.float64:
lmod = cgutils.get_module(builder)
return builder.call(nvvmutils.declare_atomic_add_float64(lmod), (ptr, val))
else:
return builder.atomic_rmw('add', ptr, val, 'monotonic')
def string_split_2(context, builder, sig, args):
module = cgutils.get_module(builder)
precomp_func = context._get_precompiled_function("StringSplitImpl")
func = module.get_or_insert_function(
precomp_func.type.pointee, precomp_func.name)
fnctx_arg = context.get_arguments(cgutils.get_function(builder))[0]
cfnctx_arg = builder.bitcast(fnctx_arg, func.args[0].type)
[s, sep] = args
maxsplit = context.get_constant_struct(builder, IntVal, -1)
cs = _conv_numba_struct_to_clang(builder, s, func.args[1].type)
csep = _conv_numba_struct_to_clang(builder, sep, func.args[2].type)
cmaxsplit = _conv_numba_struct_to_clang(
builder, maxsplit, func.args[3].type)
# result is StringVal with an array of StringVals in the buffer
array_as_lowered_struct = builder.call(
func, [cfnctx_arg, cs, csep, cmaxsplit])
array_as_struct = raise_return_type(
context, builder, StringVal, array_as_lowered_struct)
array_as_StringVal = StringValStruct(
context, builder, value=array_as_struct)
array_as_numba = context.make_array(sig.return_type)(context, builder)
data_ptr = builder.bitcast(
array_as_StringVal.ptr, array_as_numba.data.type)
array_as_numba.data = data_ptr
return array_as_numba._getvalue()
def _generic_array(context, builder, shape, dtype, symbol_name, addrspace,
can_dynsized=False):
elemcount = reduce(operator.mul, shape)
lldtype = context.get_data_type(dtype)
laryty = Type.array(lldtype, elemcount)
if addrspace == nvvm.ADDRSPACE_LOCAL:
# Special case local addrespace allocation to use alloca
# NVVM is smart enough to only use local memory if no register is
# available
dataptr = builder.alloca(laryty, name=symbol_name)
else:
lmod = cgutils.get_module(builder)
# Create global variable in the requested address-space
gvmem = lmod.add_global_variable(laryty, symbol_name, addrspace)
if elemcount <= 0:
if can_dynsized: # dynamic shared memory
gvmem.linkage = lc.LINKAGE_EXTERNAL
else:
raise ValueError("array length <= 0")
else:
gvmem.linkage = lc.LINKAGE_INTERNAL
gvmem.initializer = lc.Constant.undef(laryty)
if dtype not in types.number_domain:
raise TypeError("unsupported type: %s" % dtype)
# Convert to generic address-space
conv = nvvmutils.insert_addrspace_conv(lmod, Type.int(8), addrspace)
addrspaceptr = gvmem.bitcast(Type.pointer(Type.int(8), addrspace))
dataptr = builder.call(conv, [addrspaceptr])
return _make_array(context, builder, dataptr, dtype, shape)
def imp(context, builder, sig, args):
func = context.declare_function(cgutils.get_module(builder), fndesc)
status, retval = context.call_function(builder, func, fndesc.restype,
fndesc.argtypes, args)
with cgutils.if_unlikely(builder, status.err):
context.return_errcode_propagate(builder, status.code)
return retval
def imp(context, builder, sig, args):
func = context.declare_function(cgutils.get_module(builder), fndesc)
status, retval = context.call_function(builder, func, fndesc.restype,
fndesc.argtypes, args)
with cgutils.if_unlikely(builder, status.err):
context.return_errcode_propagate(builder, status.code)
return retval
def complex128_power_impl(context, builder, sig, args):
[ca, cb] = args
a = Complex128(context, builder, value=ca)
b = Complex128(context, builder, value=cb)
c = Complex128(context, builder)
module = cgutils.get_module(builder)
pa = a._getpointer()
pb = b._getpointer()
pc = c._getpointer()
# Optimize for square because cpow looses a lot of precsiion
TWO = context.get_constant(types.float64, 2)
ZERO = context.get_constant(types.float64, 0)
b_real_is_two = builder.fcmp(lc.FCMP_OEQ, b.real, TWO)
b_imag_is_zero = builder.fcmp(lc.FCMP_OEQ, b.imag, ZERO)
b_is_two = builder.and_(b_real_is_two, b_imag_is_zero)
with cgutils.ifelse(builder, b_is_two) as (then, otherwise):
with then:
# Lower as multiplication
res = complex_mul_impl(context, builder, sig, (ca, ca))
cres = Complex128(context, builder, value=res)
c.real = cres.real
c.imag = cres.imag
with otherwise:
# Lower with call to external function
fnty = Type.function(Type.void(), [pa.type] * 3)
cpow = module.get_or_insert_function(fnty, name="numba.math.cpow")
builder.call(cpow, (pa, pb, pc))
return builder.load(pc)
def get_constant_struct(self, builder, ty, val):
assert self.is_struct_type(ty)
module = cgutils.get_module(builder)
if ty in types.complex_domain:
if ty == types.complex64:
innertype = types.float32
elif ty == types.complex128:
innertype = types.float64
else:
raise Exception("unreachable")
real = self.get_constant(innertype, val.real)
imag = self.get_constant(innertype, val.imag)
const = Constant.struct([real, imag])
return const
elif isinstance(ty, types.Tuple):
consts = [self.get_constant_generic(builder, ty.types[i], v) for i, v in enumerate(val)]
return Constant.struct(consts)
elif isinstance(ty, types.Record):
consts = [self.get_constant(types.int8, b) for b in bytearray(val.tostring())]
return Constant.array(consts[0].type, consts)
else:
raise NotImplementedError("%s as constant unsupported" % ty)
def compile_internal(self, builder, impl, sig, args, locals={}):
"""Invoke compiler to implement a function for a nopython function
"""
cache_key = (impl.__code__, sig)
fndesc = self.cached_internal_func.get(cache_key)
if fndesc is None:
# Compile
from numba import compiler
codegen = self.jit_codegen()
library = codegen.create_library(impl.__name__)
flags = compiler.Flags()
flags.set("no_compile")
flags.set("no_cpython_wrapper")
cres = compiler.compile_internal(
self.typing_context, self, library, impl, sig.args, sig.return_type, flags, locals=locals
)
# Allow inlining the function inside callers.
codegen.add_linking_library(cres.library)
fndesc = cres.fndesc
self.cached_internal_func[cache_key] = fndesc
# Add call to the generated function
llvm_mod = cgutils.get_module(builder)
fn = self.declare_function(llvm_mod, fndesc)
status, res = self.call_function(builder, fn, sig.return_type, sig.args, args)
return res
def string_split_2(context, builder, sig, args):
module = cgutils.get_module(builder)
precomp_func = context._get_precompiled_function("StringSplitImpl")
func = module.get_or_insert_function(precomp_func.type.pointee,
precomp_func.name)
fnctx_arg = context.get_arguments(cgutils.get_function(builder))[0]
cfnctx_arg = builder.bitcast(fnctx_arg, func.args[0].type)
[s, sep] = args
maxsplit = context.get_constant_struct(builder, IntVal, -1)
cs = _conv_numba_struct_to_clang(builder, s, func.args[1].type)
csep = _conv_numba_struct_to_clang(builder, sep, func.args[2].type)
cmaxsplit = _conv_numba_struct_to_clang(builder, maxsplit,
func.args[3].type)
# result is StringVal with an array of StringVals in the buffer
array_as_lowered_struct = builder.call(func,
[cfnctx_arg, cs, csep, cmaxsplit])
array_as_struct = raise_return_type(context, builder, StringVal,
array_as_lowered_struct)
array_as_StringVal = StringValStruct(context,
builder,
value=array_as_struct)
array_as_numba = context.make_array(sig.return_type)(context, builder)
data_ptr = builder.bitcast(array_as_StringVal.ptr,
array_as_numba.data.type)
array_as_numba.data = data_ptr
return array_as_numba._getvalue()
def get_constant_struct(self, builder, ty, val):
assert self.is_struct_type(ty)
module = cgutils.get_module(builder)
if ty in types.complex_domain:
if ty == types.complex64:
innertype = types.float32
elif ty == types.complex128:
innertype = types.float64
else:
raise Exception("unreachable")
real = self.get_constant(innertype, val.real)
imag = self.get_constant(innertype, val.imag)
const = Constant.struct([real, imag])
return const
elif isinstance(ty, types.Tuple):
consts = [
self.get_constant_generic(builder, ty.types[i], v)
for i, v in enumerate(val)
]
return Constant.struct(consts)
elif isinstance(ty, types.Record):
consts = [
self.get_constant(types.int8, b)
for b in bytearray(val.tostring())
]
return Constant.array(consts[0].type, consts)
else:
raise NotImplementedError("%s as constant unsupported" % ty)
def compile_internal(self, builder, impl, sig, args, locals={}):
"""Invoke compiler to implement a function for a nopython function
"""
cache_key = (impl.__code__, sig)
fndesc = self.cached_internal_func.get(cache_key)
if fndesc is None:
# Compile
cres = numba.compiler.compile_internal(self.typing_context, self,
impl, sig.args,
sig.return_type,
locals=locals)
llvm_func = cres.llvm_func
# Set to linkonce one-definition-rule so that the function
# is removed once it is linked.
llvm_func.linkage = lc.LINKAGE_LINKONCE_ODR
self.add_libs([cres.llvm_module])
fndesc = cres.fndesc
self.cached_internal_func[cache_key] = fndesc
# Add call to the generated function
llvm_mod = cgutils.get_module(builder)
fn = self.declare_function(llvm_mod, fndesc)
status, res = self.call_function(builder, fn, sig.return_type,
sig.args, args)
return res
def _generic_array(context, builder, shape, dtype, symbol_name, addrspace,
can_dynsized=False):
elemcount = reduce(operator.mul, shape)
lldtype = context.get_data_type(dtype)
laryty = Type.array(lldtype, elemcount)
if addrspace == nvvm.ADDRSPACE_LOCAL:
# Special case local addrespace allocation to use alloca
# NVVM is smart enough to only use local memory if no register is
# available
dataptr = builder.alloca(laryty, name=symbol_name)
else:
lmod = cgutils.get_module(builder)
# Create global variable in the requested address-space
gvmem = lmod.add_global_variable(laryty, symbol_name, addrspace)
if elemcount <= 0:
if can_dynsized: # dynamic shared memory
gvmem.linkage = lc.LINKAGE_EXTERNAL
else:
raise ValueError("array length <= 0")
else:
gvmem.linkage = lc.LINKAGE_INTERNAL
gvmem.initializer = lc.Constant.undef(laryty)
if dtype not in types.number_domain:
raise TypeError("unsupported type: %s" % dtype)
# Convert to generic address-space
conv = nvvmutils.insert_addrspace_conv(lmod, Type.int(8), addrspace)
addrspaceptr = gvmem.bitcast(Type.pointer(Type.int(8), addrspace))
dataptr = builder.call(conv, [addrspaceptr])
return _make_array(context, builder, dataptr, dtype, shape)
def core(context, builder, sig, args):
assert sig.return_type == types.boolean, nvname
fty = context.get_value_type(ty)
lmod = cgutils.get_module(builder)
fnty = Type.function(Type.int(), [fty])
fn = lmod.get_or_insert_function(fnty, name=nvname)
result = builder.call(fn, args)
return context.cast(builder, result, types.int32, types.boolean)
def atan2_f64_impl(context, builder, sig, args):
assert len(args) == 2
mod = cgutils.get_module(builder)
fnty = Type.function(Type.double(), [Type.double(), Type.double()])
# Workaround atan2() issues under Windows
fname = "atan2_fixed" if sys.platform == "win32" else "atan2"
fn = mod.get_or_insert_function(fnty, name=fname)
return builder.call(fn, args)
def ptx_syncthreads(context, builder, sig, args):
assert not args
fname = 'llvm.nvvm.barrier0'
lmod = cgutils.get_module(builder)
fnty = Type.function(Type.void(), ())
sync = lmod.get_or_insert_function(fnty, name=fname)
builder.call(sync, ())
return context.get_dummy_value()
def getitem_stringval(context, builder, sig, args):
module = cgutils.get_module(builder)
precomp_func = context._get_precompiled_function("GetItemStringValImpl")
func = module.get_or_insert_function(precomp_func.type.pointee, precomp_func.name)
[s, i] = args
cs = _conv_numba_struct_to_clang(builder, s, func.args[0].type)
result = builder.call(func, [cs, i])
return raise_return_type(context, builder, StringVal, result)
def ptx_syncthreads(context, builder, sig, args):
assert not args
fname = 'llvm.nvvm.barrier0'
lmod = cgutils.get_module(builder)
fnty = Type.function(Type.void(), ())
sync = lmod.get_or_insert_function(fnty, name=fname)
builder.call(sync, ())
return context.get_dummy_value()
def nrt_meminfo_data(self, builder, meminfo):
if not self.enable_nrt:
raise Exception("Require NRT")
mod = cgutils.get_module(builder)
voidptr = llvmir.IntType(8).as_pointer()
fnty = llvmir.FunctionType(voidptr, [voidptr])
fn = mod.get_or_insert_function(fnty, name="NRT_MemInfo_data")
return builder.call(fn, [meminfo])
def nrt_meminfo_alloc(self, builder, size):
if not self.enable_nrt:
raise Exception("Require NRT")
mod = cgutils.get_module(builder)
fnty = llvmir.FunctionType(llvmir.IntType(8).as_pointer(),
[self.get_value_type(types.intp)])
fn = mod.get_or_insert_function(fnty, name="NRT_MemInfo_alloc_safe")
return builder.call(fn, [size])
def core(context, builder, sig, args):
assert sig.return_type == types.boolean, nvname
fty = context.get_value_type(ty)
lmod = cgutils.get_module(builder)
fnty = Type.function(Type.int(), [fty])
fn = lmod.get_or_insert_function(fnty, name=nvname)
result = builder.call(fn, args)
return context.cast(builder, result, types.int32, types.boolean)
def atan2_f64_impl(context, builder, sig, args):
assert len(args) == 2
mod = cgutils.get_module(builder)
fnty = Type.function(Type.double(), [Type.double(), Type.double()])
# Workaround atan2() issues under Windows
fname = "atan2_fixed" if sys.platform == "win32" else "atan2"
fn = mod.get_or_insert_function(fnty, name=fname)
return builder.call(fn, args)
def getitem_stringval(context, builder, sig, args):
module = cgutils.get_module(builder)
precomp_func = context.precompiled_fns["GetItemStringValImpl"]
func = module.get_or_insert_function(precomp_func.type.pointee,
precomp_func.name)
[s, i] = args
cs = _conv_numba_struct_to_clang(builder, s, func.args[0].type)
result = builder.call(func, [cs, i])
return _raise_return_type(context, builder, StringVal, result)
def real_power_impl(context, builder, sig, args):
x, y = args
module = cgutils.get_module(builder)
if context.implement_powi_as_math_call:
imp = context.get_function(math.pow, sig)
return imp(builder, args)
else:
fn = lc.Function.intrinsic(module, lc.INTR_POW, [y.type])
return builder.call(fn, (x, y))
def get_constant_string(self, builder, ty, val):
assert ty == ntypes.string
literal = lc.Constant.stringz(val)
gv = cgutils.get_module(builder).add_global_variable(literal.type, 'str_literal')
gv.linkage = lc.LINKAGE_PRIVATE
gv.initializer = literal
gv.global_constant = True
# gep gets pointer to first element of the constant byte array
return gv.gep([lc.Constant.int(lc.Type.int(32), 0)] * 2)
def eq_stringval(context, builder, sig, args):
module = cgutils.get_module(builder)
precomp_func = context._get_precompiled_function("EqStringValImpl")
func = module.get_or_insert_function(precomp_func.type.pointee, precomp_func.name)
[s1, s2] = args
cs1 = _conv_numba_struct_to_clang(builder, s1, func.args[0].type)
cs2 = _conv_numba_struct_to_clang(builder, s2, func.args[1].type)
result = builder.call(func, [cs1, cs2])
return result # ret bool so no need to raise type
def core(context, builder, sig, args):
[base, pow] = args
[basety, powty] = sig.args
lmod = cgutils.get_module(builder)
fty = context.get_value_type(basety)
ity = context.get_value_type(types.int32)
fnty = Type.function(fty, [fty, ity])
fn = lmod.get_or_insert_function(fnty, name=nvname)
return builder.call(fn, [base, pow])
def int_upower_impl(context, builder, sig, args):
module = cgutils.get_module(builder)
x, y = args
if y.type.width > 32:
y = builder.trunc(y, Type.int(32))
elif y.type.width < 32:
y = builder.zext(y, Type.int(32))
powerfn = lc.Function.intrinsic(module, lc.INTR_POWI, [x.type])
return builder.call(powerfn, (x, y))
def round_impl_f64(context, builder, sig, args):
module = cgutils.get_module(builder)
fnty = Type.function(Type.double(), [Type.double()])
if utils.IS_PY3:
fn = module.get_or_insert_function(fnty, name="numba.round")
else:
fn = module.get_or_insert_function(fnty, name="round")
assert fn.is_declaration
return builder.call(fn, args)
def core(context, builder, sig, args):
[base, pow] = args
[basety, powty] = sig.args
lmod = cgutils.get_module(builder)
fty = context.get_value_type(basety)
ity = context.get_value_type(types.int32)
fnty = Type.function(fty, [fty, ity])
fn = lmod.get_or_insert_function(fnty, name=nvname)
return builder.call(fn, [base, pow])
def eq_stringval(context, builder, sig, args):
module = cgutils.get_module(builder)
precomp_func = context.precompiled_fns["EqStringValImpl"]
func = module.get_or_insert_function(precomp_func.type.pointee,
precomp_func.name)
[s1, s2] = args
cs1 = _conv_numba_struct_to_clang(builder, s1, func.args[0].type)
cs2 = _conv_numba_struct_to_clang(builder, s2, func.args[1].type)
result = builder.call(func, [cs1, cs2])
return result # ret bool so no need to raise type
def ldexp_impl(context, builder, sig, args):
val, exp = args
fltty, intty = map(context.get_data_type, sig.args)
fnty = Type.function(fltty, (fltty, intty))
fname = {
"float": "numba_ldexpf",
"double": "numba_ldexp",
}[str(fltty)]
fn = cgutils.get_module(builder).get_or_insert_function(fnty, name=fname)
return builder.call(fn, (val, exp))
def ldexp_impl(context, builder, sig, args):
val, exp = args
fltty, intty = map(context.get_data_type, sig.args)
fnty = Type.function(fltty, (fltty, intty))
fname = {
"float": "numba_ldexpf",
"double": "numba_ldexp",
}[str(fltty)]
fn = cgutils.get_module(builder).get_or_insert_function(fnty, name=fname)
return builder.call(fn, (val, exp))
def string_capitalize(context, builder, sig, args):
module = cgutils.get_module(builder)
precomp_func = context._get_precompiled_function("StringCapitalizeImpl")
func = module.get_or_insert_function(precomp_func.type.pointee, precomp_func.name)
fnctx_arg = context.get_arguments(cgutils.get_function(builder))[0]
cfnctx_arg = builder.bitcast(fnctx_arg, func.args[0].type)
[s] = args
cs = _conv_numba_struct_to_clang(builder, s, func.args[1].type)
result = builder.call(func, [cfnctx_arg, cs])
return raise_return_type(context, builder, StringVal, result)
def get_constant_string(self, builder, ty, val):
assert ty == types.string
literal = lc.Constant.stringz(val)
gv = cgutils.get_module(builder).add_global_variable(
literal.type, 'str_literal')
gv.linkage = lc.LINKAGE_PRIVATE
gv.initializer = literal
gv.global_constant = True
# gep gets pointer to first element of the constant byte array
return gv.gep([lc.Constant.int(lc.Type.int(32), 0)] * 2)
def implementer(context, builder, sig, args):
[val] = args
mod = cgutils.get_module(builder)
lty = context.get_value_type(input_type)
fnty = Type.function(lty, [lty])
fn = mod.get_or_insert_function(fnty, name=extern_func)
res = builder.call(fn, (val, ))
if restype is None:
return res
else:
return context.cast(builder, res, input_type, restype)
def add_stringval(context, builder, sig, args):
module = cgutils.get_module(builder)
precomp_func = context._get_precompiled_function("AddStringValImpl")
func = module.get_or_insert_function(precomp_func.type.pointee, precomp_func.name)
fnctx_arg = context.get_arguments(cgutils.get_function(builder))[0]
cfnctx_arg = builder.bitcast(fnctx_arg, func.args[0].type)
[s1, s2] = args
cs1 = _conv_numba_struct_to_clang(builder, s1, func.args[1].type)
cs2 = _conv_numba_struct_to_clang(builder, s2, func.args[2].type)
result = builder.call(func, [cfnctx_arg, cs1, cs2])
return raise_return_type(context, builder, StringVal, result)
def string_capitalize(context, builder, sig, args):
module = cgutils.get_module(builder)
precomp_func = context._get_precompiled_function("StringCapitalizeImpl")
func = module.get_or_insert_function(precomp_func.type.pointee,
precomp_func.name)
fnctx_arg = context.get_arguments(cgutils.get_function(builder))[0]
cfnctx_arg = builder.bitcast(fnctx_arg, func.args[0].type)
[s] = args
cs = _conv_numba_struct_to_clang(builder, s, func.args[1].type)
result = builder.call(func, [cfnctx_arg, cs])
return raise_return_type(context, builder, StringVal, result)
def ptx_atomic_add_intp(context, builder, sig, args):
aryty, indty, valty = sig.args
ary, ind, val = args
dtype = aryty.dtype
if dtype != valty:
raise TypeError("expect %s but got %s" % (dtype, valty))
if aryty.ndim != 1:
raise TypeError("indexing %d-D array with 1-D index" % (aryty.ndim,))
lary = context.make_array(aryty)(context, builder, ary)
ptr = cgutils.get_item_pointer(builder, aryty, lary, [ind])
if aryty.dtype == types.float32:
lmod = cgutils.get_module(builder)
return builder.call(nvvmutils.declare_atomic_add_float32(lmod), (ptr, val))
elif aryty.dtype == types.float64:
lmod = cgutils.get_module(builder)
return builder.call(nvvmutils.declare_atomic_add_float64(lmod), (ptr, val))
else:
return builder.atomic_rmw('add', ptr, val, 'monotonic')
def add_stringval(context, builder, sig, args):
module = cgutils.get_module(builder)
precomp_func = context.precompiled_fns["AddStringValImpl"]
func = module.get_or_insert_function(precomp_func.type.pointee,
precomp_func.name)
fnctx_arg = context.get_arguments(cgutils.get_function(builder))[0]
cfnctx_arg = builder.bitcast(fnctx_arg, func.args[0].type)
[s1, s2] = args
cs1 = _conv_numba_struct_to_clang(builder, s1, func.args[1].type)
cs2 = _conv_numba_struct_to_clang(builder, s2, func.args[2].type)
result = builder.call(func, [cfnctx_arg, cs1, cs2])
return _raise_return_type(context, builder, StringVal, result)
def implementer(context, builder, sig, args):
[val] = args
mod = cgutils.get_module(builder)
lty = context.get_value_type(input_type)
fnty = Type.function(lty, [lty])
fn = mod.get_or_insert_function(fnty, name=extern_func)
res = builder.call(fn, (val,))
if restype is None:
return res
else:
return context.cast(builder, res, input_type,
restype)
def ptx_atomic_add_intp(context, builder, sig, args):
aryty, indty, valty = sig.args
ary, ind, val = args
dtype = aryty.dtype
if dtype != valty:
raise TypeError("expect %s but got %s" % (dtype, valty))
if aryty.ndim != 1:
raise TypeError("indexing %d-D array with 1-D index" % (aryty.ndim,))
lary = context.make_array(aryty)(context, builder, ary)
ptr = cgutils.get_item_pointer(builder, aryty, lary, [ind])
if aryty.dtype == types.float32:
lmod = cgutils.get_module(builder)
return builder.call(nvvmutils.declare_atomic_add_float32(lmod), (ptr, val))
elif aryty.dtype == types.float64:
lmod = cgutils.get_module(builder)
return builder.call(nvvmutils.declare_atomic_add_float64(lmod), (ptr, val))
else:
return builder.atomic_rmw('add', ptr, val, 'monotonic')
def ptx_cmem_arylike(context, builder, sig, args):
lmod = cgutils.get_module(builder)
[arr] = args
flat = arr.flatten(order='A')
aryty = sig.return_type
dtype = aryty.dtype
if isinstance(dtype, types.Complex):
elemtype = (types.float32
if dtype == types.complex64
else types.float64)
constvals = []
for i in range(flat.size):
elem = flat[i]
real = context.get_constant(elemtype, elem.real)
imag = context.get_constant(elemtype, elem.imag)
constvals.extend([real, imag])
elif dtype in types.number_domain:
constvals = [context.get_constant(dtype, flat[i])
for i in range(flat.size)]
else:
raise TypeError("unsupport type: %s" % dtype)
constary = lc.Constant.array(constvals[0].type, constvals)
addrspace = nvvm.ADDRSPACE_CONSTANT
gv = lmod.add_global_variable(constary.type, name="_cudapy_cmem",
addrspace=addrspace)
gv.linkage = lc.LINKAGE_INTERNAL
gv.global_constant = True
gv.initializer = constary
# Convert to generic address-space
conv = nvvmutils.insert_addrspace_conv(lmod, Type.int(8), addrspace)
addrspaceptr = gv.bitcast(Type.pointer(Type.int(8), addrspace))
genptr = builder.call(conv, [addrspaceptr])
# Create array object
ary = context.make_array(aryty)(context, builder)
kshape = [context.get_constant(types.intp, s) for s in arr.shape]
kstrides = [context.get_constant(types.intp, s) for s in arr.strides]
context.populate_array(ary,
data=builder.bitcast(genptr, ary.data.type),
shape=cgutils.pack_array(builder, kshape),
strides=cgutils.pack_array(builder, kstrides),
itemsize=ary.itemsize,
parent=ary.parent,
meminfo=None)
return ary._getvalue()
def ptx_cmem_arylike(context, builder, sig, args):
lmod = cgutils.get_module(builder)
[arr] = args
flat = arr.flatten(order='A')
aryty = sig.return_type
dtype = aryty.dtype
if isinstance(dtype, types.Complex):
elemtype = (types.float32
if dtype == types.complex64
else types.float64)
constvals = []
for i in range(flat.size):
elem = flat[i]
real = context.get_constant(elemtype, elem.real)
imag = context.get_constant(elemtype, elem.imag)
constvals.extend([real, imag])
elif dtype in types.number_domain:
constvals = [context.get_constant(dtype, flat[i])
for i in range(flat.size)]
else:
raise TypeError("unsupport type: %s" % dtype)
constary = lc.Constant.array(constvals[0].type, constvals)
addrspace = nvvm.ADDRSPACE_CONSTANT
gv = lmod.add_global_variable(constary.type, name="_cudapy_cmem",
addrspace=addrspace)
gv.linkage = lc.LINKAGE_INTERNAL
gv.global_constant = True
gv.initializer = constary
# Convert to generic address-space
conv = nvvmutils.insert_addrspace_conv(lmod, Type.int(8), addrspace)
addrspaceptr = gv.bitcast(Type.pointer(Type.int(8), addrspace))
genptr = builder.call(conv, [addrspaceptr])
# Create array object
ary = context.make_array(aryty)(context, builder)
kshape = [context.get_constant(types.intp, s) for s in arr.shape]
kstrides = [context.get_constant(types.intp, s) for s in arr.strides]
context.populate_array(ary,
data=builder.bitcast(genptr, ary.data.type),
shape=cgutils.pack_array(builder, kshape),
strides=cgutils.pack_array(builder, kstrides),
itemsize=ary.itemsize,
parent=ary.parent,
meminfo=None)
return ary._getvalue()
def StringVal_ctor(context, builder, sig, args):
"""StringVal(ntypes.string)"""
[x] = args
iv = StringValStruct(context, builder)
_set_is_null(builder, iv, cgutils.false_bit)
fndesc = lowering.ExternalFunctionDescriptor('strlen', ntypes.uintp,
[ntypes.CPointer(ntypes.char)])
func = context.declare_external_function(cgutils.get_module(builder), fndesc)
strlen_x = context.call_external_function(builder, func, fndesc.argtypes, [x])
len_x = builder.trunc(strlen_x, lc.Type.int(32))
iv.len = len_x
iv.ptr = x
return iv._getvalue()
def frexp_impl(context, builder, sig, args):
val, = args
fltty = context.get_data_type(sig.args[0])
intty = context.get_data_type(sig.return_type[1])
expptr = cgutils.alloca_once(builder, intty, name='exp')
fnty = Type.function(fltty, (fltty, Type.pointer(intty)))
fname = {
"float": "numba_frexpf",
"double": "numba_frexp",
}[str(fltty)]
fn = cgutils.get_module(builder).get_or_insert_function(fnty, name=fname)
res = builder.call(fn, (val, expptr))
return cgutils.make_anonymous_struct(builder, (res, builder.load(expptr)))
def frexp_impl(context, builder, sig, args):
val, = args
fltty = context.get_data_type(sig.args[0])
intty = context.get_data_type(sig.return_type[1])
expptr = cgutils.alloca_once(builder, intty, name='exp')
fnty = Type.function(fltty, (fltty, Type.pointer(intty)))
fname = {
"float": "numba_frexpf",
"double": "numba_frexp",
}[str(fltty)]
fn = cgutils.get_module(builder).get_or_insert_function(fnty, name=fname)
res = builder.call(fn, (val, expptr))
return cgutils.make_anonymous_struct(builder, (res, builder.load(expptr)))
def call_internal(self, builder, fndesc, sig, args):
"""Given the function descriptor of an internally compiled function,
emit a call to that function with the given arguments.
"""
# Add call to the generated function
llvm_mod = cgutils.get_module(builder)
fn = self.declare_function(llvm_mod, fndesc)
status, res = self.call_conv.call_function(builder, fn, sig.return_type,
sig.args, args)
with cgutils.if_unlikely(builder, status.is_error):
self.call_conv.return_status_propagate(builder, status)
return res
def StringVal_ctor(context, builder, sig, args):
"""StringVal(types.string)"""
[x] = args
iv = StringValStruct(context, builder)
_set_is_null(builder, iv, cgutils.false_bit)
fndesc = lowering.ExternalFunctionDescriptor('strlen', types.uintp,
[types.CPointer(types.char)])
func = context.declare_external_function(cgutils.get_module(builder),
fndesc)
strlen_x = context.call_external_function(builder, func, fndesc.argtypes,
[x])
len_x = builder.trunc(strlen_x, lc.Type.int(32))
iv.len = len_x
iv.ptr = x
return iv._getvalue()
def nrt_decref(self, builder, typ, value):
if not self.enable_nrt:
raise Exception("Require NRT")
members = self.data_model_manager[typ].traverse(builder, value)
for mt, mv in members:
self.nrt_decref(builder, mt, mv)
meminfo = self.get_nrt_meminfo(builder, typ, value)
if meminfo:
mod = cgutils.get_module(builder)
fnty = llvmir.FunctionType(llvmir.VoidType(),
[llvmir.IntType(8).as_pointer()])
fn = mod.get_or_insert_function(fnty, name="NRT_decref")
builder.call(fn, [meminfo])
def compile_internal(self, builder, impl, sig, args, locals={}):
"""Invoke compiler to implement a function for a nopython function
"""
cache_key = (impl.__code__, sig)
if impl.__closure__:
# XXX This obviously won't work if a cell's value is
# unhashable.
cache_key += tuple(c.cell_contents for c in impl.__closure__)
fndesc = self.cached_internal_func.get(cache_key)
if fndesc is None:
# Compile
from numba import compiler
codegen = self.jit_codegen()
library = codegen.create_library(impl.__name__)
flags = compiler.Flags()
flags.set('no_compile')
flags.set('no_cpython_wrapper')
cres = compiler.compile_internal(self.typing_context,
self,
library,
impl,
sig.args,
sig.return_type,
flags,
locals=locals)
# Allow inlining the function inside callers.
codegen.add_linking_library(cres.library)
fndesc = cres.fndesc
self.cached_internal_func[cache_key] = fndesc
# Add call to the generated function
llvm_mod = cgutils.get_module(builder)
fn = self.declare_function(llvm_mod, fndesc)
status, res = self.call_conv.call_function(builder, fn,
sig.return_type, sig.args,
args)
with cgutils.if_unlikely(builder, status.is_error):
self.call_conv.return_status_propagate(builder, status)
return res
def make_constant_array(self, builder, typ, ary):
assert typ.layout == 'C' # assumed in typeinfer.py
ary = numpy.ascontiguousarray(ary)
flat = ary.flatten()
# Handle data
if self.is_struct_type(typ.dtype):
# FIXME
raise TypeError("Do not support structure dtype as constant "
"array, yet.")
values = [
self.get_constant(typ.dtype, flat[i]) for i in range(flat.size)
]
lldtype = values[0].type
consts = Constant.array(lldtype, values)
module = cgutils.get_module(builder)
data = module.add_global_variable(consts.type,
name=".const.array"
".data")
data.linkage = lc.LINKAGE_INTERNAL
data.global_constant = True
data.initializer = consts
# Handle shape
llintp = self.get_value_type(types.intp)
shapevals = [self.get_constant(types.intp, s) for s in ary.shape]
cshape = Constant.array(llintp, shapevals)
# Handle strides
stridevals = [self.get_constant(types.intp, s) for s in ary.strides]
cstrides = Constant.array(llintp, stridevals)
# Create array structure
cary = self.make_array(typ)(self, builder)
cary.data = builder.bitcast(data, cary.data.type)
cary.shape = cshape
cary.strides = cstrides
return cary._getvalue()
def compile_internal(self, builder, impl, sig, args, locals={},
cache_key=None):
"""Invoke compiler to implement a function for a nopython function
Args
----
cache_key : hashable
A hashable object to use as the key for caching.
If it is `None`, no caching is performed.
"""
if cache_key is not None:
# Caching is enabled
fndesc = self.cached_internal_func.get(cache_key)
else:
# Caching is disabled
fndesc = None
if fndesc is None:
# Compile
cres = numba.compiler.compile_internal(self.typing_context, self,
impl, sig.args,
sig.return_type,
locals=locals)
llvm_func = cres.llvm_func
# Set to linkonce one-definition-rule so that the function
# is removed once it is linked.
llvm_func.linkage = lc.LINKAGE_LINKONCE_ODR
self.add_libs([cres.llvm_module])
fndesc = cres.fndesc
# Do cache if caching is enabled
if cache_key is not None:
self.cached_internal_func[cache_key] = fndesc
# Add call to the generated function
llvm_mod = cgutils.get_module(builder)
fn = self.declare_function(llvm_mod, fndesc)
status, res = self.call_function(builder, fn, sig.return_type,
sig.args, args)
return res
def compile_internal(self, builder, impl, sig, args, locals={}):
"""Invoke compiler to implement a function for a nopython function
"""
cache_key = (impl.__code__, sig)
fndesc = self.cached_internal_func.get(cache_key)
if fndesc is None:
# Compile
from numba import compiler
codegen = self.jit_codegen()
library = codegen.create_library(impl.__name__)
flags = compiler.Flags()
flags.set('no_compile')
flags.set('no_cpython_wrapper')
cres = compiler.compile_internal(self.typing_context,
self,
library,
impl,
sig.args,
sig.return_type,
flags,
locals=locals)
# Allow inlining the function inside callers.
codegen.add_linking_library(cres.library)
fndesc = cres.fndesc
self.cached_internal_func[cache_key] = fndesc
# Add call to the generated function
llvm_mod = cgutils.get_module(builder)
fn = self.declare_function(llvm_mod, fndesc)
status, res = self.call_function(builder, fn, sig.return_type,
sig.args, args)
return res
def get_constant_struct(self, builder, ty, val):
assert self.is_struct_type(ty)
module = cgutils.get_module(builder)
if ty in types.complex_domain:
if ty == types.complex64:
innertype = types.float32
elif ty == types.complex128:
innertype = types.float64
else:
raise Exception("unreachable")
real = self.get_constant(innertype, val.real)
imag = self.get_constant(innertype, val.imag)
const = Constant.struct([real, imag])
gv = module.add_global_variable(const.type, name=".const")
gv.linkage = lc.LINKAGE_INTERNAL
gv.initializer = const
gv.global_constant = True
return builder.load(gv)
else:
raise NotImplementedError(ty)
def debug_print(self, builder, text):
mod = cgutils.get_module(builder)
cstr = self.insert_const_string(mod, str(text))
self.print_string(builder, cstr)
def _prepare_call_to_object_mode(context, builder, func, signature, args, env):
mod = cgutils.get_module(builder)
thisfunc = cgutils.get_function(builder)
bb_core_return = thisfunc.append_basic_block('ufunc.core.return')
pyapi = context.get_python_api(builder)
# Call to
# PyObject* ndarray_new(int nd,
# npy_intp *dims, /* shape */
# npy_intp *strides,
# void* data,
# int type_num,
# int itemsize)
ll_int = context.get_value_type(types.int32)
ll_intp = context.get_value_type(types.intp)
ll_intp_ptr = Type.pointer(ll_intp)
ll_voidptr = context.get_value_type(types.voidptr)
ll_pyobj = context.get_value_type(types.pyobject)
fnty = Type.function(
ll_pyobj,
[ll_int, ll_intp_ptr, ll_intp_ptr, ll_voidptr, ll_int, ll_int])
fn_array_new = mod.get_or_insert_function(fnty, name="numba_ndarray_new")
# Convert each llarray into pyobject
error_pointer = cgutils.alloca_once(builder, Type.int(1), name='error')
builder.store(cgutils.true_bit, error_pointer)
ndarray_pointers = []
ndarray_objects = []
for i, (arr, arrtype) in enumerate(zip(args, signature.args)):
ptr = cgutils.alloca_once(builder, ll_pyobj)
ndarray_pointers.append(ptr)
builder.store(Constant.null(ll_pyobj), ptr) # initialize to NULL
arycls = context.make_array(arrtype)
array = arycls(context, builder, ref=arr)
zero = Constant.int(ll_int, 0)
# Extract members of the llarray
nd = Constant.int(ll_int, arrtype.ndim)
dims = builder.gep(array._get_ptr_by_name('shape'), [zero, zero])
strides = builder.gep(array._get_ptr_by_name('strides'), [zero, zero])
data = builder.bitcast(array.data, ll_voidptr)
dtype = np.dtype(str(arrtype.dtype))
# Prepare other info for reconstruction of the PyArray
type_num = Constant.int(ll_int, dtype.num)
itemsize = Constant.int(ll_int, dtype.itemsize)
# Call helper to reconstruct PyArray objects
obj = builder.call(fn_array_new,
[nd, dims, strides, data, type_num, itemsize])
builder.store(obj, ptr)
ndarray_objects.append(obj)
obj_is_null = cgutils.is_null(builder, obj)
builder.store(obj_is_null, error_pointer)
cgutils.cbranch_or_continue(builder, obj_is_null, bb_core_return)
# Call ufunc core function
object_sig = [types.pyobject] * len(ndarray_objects)
status, retval = context.call_conv.call_function(builder,
func,
ll_pyobj,
object_sig,
ndarray_objects,
env=env)
builder.store(status.is_error, error_pointer)
# Release returned object
pyapi.decref(retval)
builder.branch(bb_core_return)
# At return block
builder.position_at_end(bb_core_return)
# Release argument object
for ndary_ptr in ndarray_pointers:
pyapi.decref(builder.load(ndary_ptr))
innercall = status.code
return innercall, builder.load(error_pointer)