mirror of https://github.com/llvm/torch-mlir
34 lines
752 B
Python
34 lines
752 B
Python
# RUN: %PYTHON %s | npcomp-opt -split-input-file | FileCheck %s --dump-input=fail
|
|
|
|
import collections
|
|
import math
|
|
from npcomp.compiler.frontend import *
|
|
|
|
|
|
def import_global(f):
|
|
fe = ImportFrontend()
|
|
fe.import_global_function(f)
|
|
print("// -----")
|
|
print(fe.ir_module.to_asm())
|
|
return f
|
|
|
|
|
|
# CHECK-LABEL: func @module_constant
|
|
@import_global
|
|
def module_constant():
|
|
# CHECK: constant 3.1415926535897931 : f64
|
|
return math.pi
|
|
|
|
|
|
Sub = collections.namedtuple("Sub", "term")
|
|
Record = collections.namedtuple("Record", "fielda,fieldb,inner")
|
|
record = Record(5, 25, Sub(6))
|
|
|
|
|
|
# CHECK-LABEL: func @namedtuple_attributes
|
|
@import_global
|
|
def namedtuple_attributes():
|
|
# CHECK: constant 6
|
|
# CHECK: constant 25
|
|
return record.inner.term - record.fieldb
|