def test_nvvm_accepts_encoding(self):
# Test that NVVM will accept a constant containing all possible 8-bit
# characters. Taken from the test case added in llvmlite PR #53:
#
# https://github.com/numba/llvmlite/pull/53
#
# This test case is included in Numba to ensure that the encoding used
# by llvmlite (e.g. utf-8, latin1, etc.) does not result in an input to
# NVVM that it cannot parse correctly
# Create a module with a constant containing all 8-bit characters
c = ir.Constant(ir.ArrayType(ir.IntType(8), 256),
bytearray(range(256)))
m = ir.Module()
gv = ir.GlobalVariable(m, c.type, "myconstant")
gv.global_constant = True
gv.initializer = c
nvvm.fix_data_layout(m)
# Parse with LLVM then dump the parsed module into NVVM
parsed = llvm.parse_assembly(str(m))
ptx = nvvm.llvm_to_ptx(str(parsed))
# Ensure all characters appear in the generated constant array.
elements = ", ".join([str(i) for i in range(256)])
myconstant = f"myconstant[256] = {{{elements}}}".encode('utf-8')
self.assertIn(myconstant, ptx)
def test_nvvm_from_llvm(self):
m = Module("test_nvvm_from_llvm")
fty = Type.function(Type.void(), [Type.int()])
kernel = m.add_function(fty, name='mycudakernel')
bldr = Builder(kernel.append_basic_block('entry'))
bldr.ret_void()
set_cuda_kernel(kernel)
fix_data_layout(m)
ptx = llvm_to_ptx(str(m)).decode('utf8')
self.assertTrue('mycudakernel' in ptx)
if is64bit:
self.assertTrue('.address_size 64' in ptx)
else:
self.assertTrue('.address_size 32' in ptx)
def test_nvvm_from_llvm(self):
m = Module("test_nvvm_from_llvm")
fty = Type.function(Type.void(), [Type.int()])
kernel = m.add_function(fty, name='mycudakernel')
bldr = Builder(kernel.append_basic_block('entry'))
bldr.ret_void()
set_cuda_kernel(kernel)
fix_data_layout(m)
ptx = llvm_to_ptx(str(m)).decode('utf8')
self.assertTrue('mycudakernel' in ptx)
if is64bit:
self.assertTrue('.address_size 64' in ptx)
else:
self.assertTrue('.address_size 32' in ptx)
def test_nvvm_from_llvm(self):
m = ir.Module("test_nvvm_from_llvm")
fty = ir.FunctionType(ir.VoidType(), [ir.IntType(32)])
kernel = ir.Function(m, fty, name='mycudakernel')
bldr = ir.IRBuilder(kernel.append_basic_block('entry'))
bldr.ret_void()
set_cuda_kernel(kernel)
fix_data_layout(m)
ptx = llvm_to_ptx(str(m)).decode('utf8')
self.assertTrue('mycudakernel' in ptx)
if is64bit:
self.assertTrue('.address_size 64' in ptx)
else:
self.assertTrue('.address_size 32' in ptx)
def test_inline_rsqrt(self):
mod = Module.new(__name__)
fnty = Type.function(Type.void(), [Type.pointer(Type.float())])
fn = mod.add_function(fnty, "cu_rsqrt")
bldr = Builder.new(fn.append_basic_block("entry"))
rsqrt_approx_fnty = Type.function(Type.float(), [Type.float()])
inlineasm = InlineAsm.get(rsqrt_approx_fnty, "rsqrt.approx.f32 $0, $1;", "=f,f", side_effect=True)
val = bldr.load(fn.args[0])
res = bldr.call(inlineasm, [val])
bldr.store(res, fn.args[0])
bldr.ret_void()
# generate ptx
nvvm.fix_data_layout(mod)
nvvm.set_cuda_kernel(fn)
nvvmir = str(mod)
ptx = nvvm.llvm_to_ptx(nvvmir)
self.assertTrue("rsqrt.approx.f32" in str(ptx))
def test_inline_rsqrt(self):
mod = Module.new(__name__)
fnty = Type.function(Type.void(), [Type.pointer(Type.float())])
fn = mod.add_function(fnty, 'cu_rsqrt')
bldr = Builder.new(fn.append_basic_block('entry'))
rsqrt_approx_fnty = Type.function(Type.float(), [Type.float()])
inlineasm = InlineAsm.get(rsqrt_approx_fnty,
'rsqrt.approx.f32 $0, $1;',
'=f,f', side_effect=True)
val = bldr.load(fn.args[0])
res = bldr.call(inlineasm, [val])
bldr.store(res, fn.args[0])
bldr.ret_void()
# generate ptx
nvvm.fix_data_layout(mod)
nvvm.set_cuda_kernel(fn)
nvvmir = str(mod)
ptx = nvvm.llvm_to_ptx(nvvmir)
self.assertTrue('rsqrt.approx.f32' in str(ptx))
def test_inline_rsqrt(self):
mod = ir.Module(__name__)
fnty = ir.FunctionType(ir.VoidType(), [ir.PointerType(ir.FloatType())])
fn = ir.Function(mod, fnty, 'cu_rsqrt')
bldr = ir.IRBuilder(fn.append_basic_block('entry'))
rsqrt_approx_fnty = ir.FunctionType(ir.FloatType(), [ir.FloatType()])
inlineasm = ir.InlineAsm(rsqrt_approx_fnty,
'rsqrt.approx.f32 $0, $1;',
'=f,f',
side_effect=True)
val = bldr.load(fn.args[0])
res = bldr.call(inlineasm, [val])
bldr.store(res, fn.args[0])
bldr.ret_void()
# generate ptx
nvvm.fix_data_layout(mod)
nvvm.set_cuda_kernel(fn)
nvvmir = str(mod)
ptx = nvvm.llvm_to_ptx(nvvmir)
self.assertTrue('rsqrt.approx.f32' in str(ptx))
def test_nvvm_ir_verify_fail(self):
m = ir.Module("test_bad_ir")
m.triple = "unknown-unknown-unknown"
fix_data_layout(m)
with self.assertRaisesRegex(NvvmError, 'Invalid target triple'):
llvm_to_ptx(str(m))