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from addconstantcpp import addconstantcpp
from addconstantpy import addconstantpy
from addconstantcpp_with_offset_42 import addconstantcpp_with_offset_42
from addconstantpy_with_offset_42 import addconstantpy_with_offset_42
from addconstantcpp_with_negative_offset import addconstantcpp_with_negative_offset
from addconstantpy_with_negative_offset import addconstantpy_with_negative_offset
import numpy
TESTS_AND_OFFSETS = [
(addconstantcpp, 0),
(addconstantpy, 0),
(addconstantcpp_with_offset_42, 42),
(addconstantpy_with_offset_42, 42),
(addconstantcpp_with_negative_offset, -1),
(addconstantpy_with_negative_offset, -1),
]
ERROR_THRESHOLD = 0.0001
def test(addconstant_impl_func, offset):
scalar_u1 = True
scalar_u8 = 3
scalar_u16 = 49153
scalar_u32 = 65537
scalar_u64 = 5724968371
scalar_i8 = -7
scalar_i16 = -30712
scalar_i32 = 98901
scalar_i64 = -8163465847
scalar_float = 3.14159
scalar_double = 1.61803
input_u8 = numpy.array([0, 1, 2], dtype=numpy.uint8)
input_u16 = numpy.array([0, 256, 512], dtype=numpy.uint16)
input_u32 = numpy.array([0, 65536, 131072], dtype=numpy.uint32)
input_u64 = numpy.array([0, 4294967296, 8589934592], dtype=numpy.uint64)
input_i8 = numpy.array([1, -2, 3], dtype=numpy.int8)
input_i16 = numpy.array([1, -256, 512], dtype=numpy.int16)
input_i32 = numpy.array([1, -65536, 131072], dtype=numpy.int32)
input_i64 = numpy.array([0, -4294967296, 8589934592], dtype=numpy.int64)
input_float = numpy.array([3.14, 2.718, 1.618], dtype=numpy.float32)
input_double = numpy.array([3.14, 2.718, 1.618], dtype=numpy.float64)
input_half = numpy.array([3.14, 2.718, 1.618], dtype=numpy.float16)
input_2d = numpy.array([[1, 2, 3], [4, 5, 6]], dtype=numpy.int8, order="F")
input_3d = numpy.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]], dtype=numpy.int8)
output_u8 = numpy.zeros((3,), dtype=numpy.uint8)
output_u16 = numpy.zeros((3,), dtype=numpy.uint16)
output_u32 = numpy.zeros((3,), dtype=numpy.uint32)
output_u64 = numpy.zeros((3,), dtype=numpy.uint64)
output_i8 = numpy.zeros((3,), dtype=numpy.int8)
output_i16 = numpy.zeros((3,), dtype=numpy.int16)
output_i32 = numpy.zeros((3,), dtype=numpy.int32)
output_i64 = numpy.zeros((3,), dtype=numpy.int64)
output_float = numpy.zeros((3,), dtype=numpy.float32)
output_double = numpy.zeros((3,), dtype=numpy.float64)
output_half = numpy.zeros((3,), dtype=numpy.float16)
output_2d = numpy.zeros((2, 3), dtype=numpy.int8, order="F")
output_3d = numpy.zeros((2, 2, 2), dtype=numpy.int8)
addconstant_impl_func(
scalar_u1,
scalar_u8,
scalar_u16,
scalar_u32,
scalar_u64,
scalar_i8,
scalar_i16,
scalar_i32,
scalar_i64,
scalar_float,
scalar_double,
input_u8,
input_u16,
input_u32,
input_u64,
input_i8,
input_i16,
input_i32,
input_i64,
input_float,
input_double,
input_half,
input_2d,
input_3d,
output_u8,
output_u16,
output_u32,
output_u64,
output_i8,
output_i16,
output_i32,
output_i64,
output_float,
output_double,
output_half,
output_2d,
output_3d,
)
combinations = [
("u8", input_u8, output_u8, scalar_u8),
("u16", input_u16, output_u16, scalar_u16),
("u32", input_u32, output_u32, scalar_u32),
("u64", input_u64, output_u64, scalar_u64),
("i8", input_i8, output_i8, scalar_i8),
("i16", input_i16, output_i16, scalar_i16),
("i32", input_i32, output_i32, scalar_i32),
("i64", input_i64, output_i64, scalar_i64),
("float", input_float, output_float, scalar_float),
("double", input_double, output_double, scalar_double),
("half", input_half, output_half, scalar_float),
]
for _, input, output, scalar in combinations:
for i, o in zip(input, output):
scalar_as_numpy = numpy.array(scalar).astype(input.dtype)
assert abs(o - (i + scalar_as_numpy)) < ERROR_THRESHOLD
for x in range(input_2d.shape[0]):
for y in range(input_2d.shape[1]):
assert output_2d[x, y] == input_2d[x, y] + scalar_i8
for x in range(input_3d.shape[0]):
for y in range(input_3d.shape[1]):
for z in range(input_3d.shape[2]):
assert output_3d[x, y, z] == input_3d[x, y, z] + scalar_i8 + offset
try:
# Expected requirement failure #1
scalar_i32 = 0
addconstant_impl_func(
scalar_u1,
scalar_u8,
scalar_u16,
scalar_u32,
scalar_u64,
scalar_i8,
scalar_i16,
scalar_i32,
scalar_i64,
scalar_float,
scalar_double,
input_u8,
input_u16,
input_u32,
input_u64,
input_i8,
input_i16,
input_i32,
input_i64,
input_float,
input_double,
input_half,
input_2d,
input_3d,
output_u8,
output_u16,
output_u32,
output_u64,
output_i8,
output_i16,
output_i32,
output_i64,
output_float,
output_double,
output_half,
output_2d,
output_3d,
)
except RuntimeError as e:
assert str(e) == "Halide Runtime Error: -27", e
else:
assert False, "Did not see expected exception!"
try:
# Expected requirement failure #2 -- note that for AOT-compiled
# code in Python, the error message is stricly numeric (the text
# of the error isn't currently propagated int he exception).
scalar_i32 = -1
addconstant_impl_func(
scalar_u1,
scalar_u8,
scalar_u16,
scalar_u32,
scalar_u64,
scalar_i8,
scalar_i16,
scalar_i32,
scalar_i64,
scalar_float,
scalar_double,
input_u8,
input_u16,
input_u32,
input_u64,
input_i8,
input_i16,
input_i32,
input_i64,
input_float,
input_double,
input_half,
input_2d,
input_3d,
output_u8,
output_u16,
output_u32,
output_u64,
output_i8,
output_i16,
output_i32,
output_i64,
output_float,
output_double,
output_half,
output_2d,
output_3d,
)
except RuntimeError as e:
assert str(e) == "Halide Runtime Error: -27", e
else:
assert False, "Did not see expected exception!"
if __name__ == "__main__":
for t, o in TESTS_AND_OFFSETS:
test(t, o)
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