from mlir.ir import *
from mlir.dialects import quant
def run(f):
print("\nTEST:", f.__name__)
f()
return f
@run
def test_type_hierarchy():
with Context():
i8 = IntegerType.get_signless(8)
any = Type.parse("!quant.any<i8<-8:7>:f32>")
uniform = Type.parse("!quant.uniform<i8<-8:7>:f32, 0.99872:127>")
per_axis = Type.parse("!quant.uniform<i8:f32:1, {2.0e+2,0.99872:120}>")
calibrated = Type.parse("!quant.calibrated<f32<-0.998:1.2321>>")
assert not quant.QuantizedType.isinstance(i8)
assert quant.QuantizedType.isinstance(any)
assert quant.QuantizedType.isinstance(uniform)
assert quant.QuantizedType.isinstance(per_axis)
assert quant.QuantizedType.isinstance(calibrated)
assert quant.AnyQuantizedType.isinstance(any)
assert quant.UniformQuantizedType.isinstance(uniform)
assert quant.UniformQuantizedPerAxisType.isinstance(per_axis)
assert quant.CalibratedQuantizedType.isinstance(calibrated)
assert not quant.AnyQuantizedType.isinstance(uniform)
assert not quant.UniformQuantizedType.isinstance(per_axis)
@run
def test_any_quantized_type():
with Context():
i8 = IntegerType.get_signless(8)
f32 = F32Type.get()
any = quant.AnyQuantizedType.get(
quant.QuantizedType.FLAG_SIGNED, i8, f32, -8, 7
)
print(f"flags: {any.flags}")
print(f"signed: {any.is_signed}")
print(f"storage type: {any.storage_type}")
print(f"expressed type: {any.expressed_type}")
print(f"storage min: {any.storage_type_min}")
print(f"storage max: {any.storage_type_max}")
print(f"storage width: {any.storage_type_integral_width}")
print(f"quantized element type: {any.quantized_element_type}")
print(any)
assert any == Type.parse("!quant.any<i8<-8:7>:f32>")
@run
def test_uniform_type():
with Context():
i8 = IntegerType.get_signless(8)
f32 = F32Type.get()
uniform = quant.UniformQuantizedType.get(
quant.UniformQuantizedType.FLAG_SIGNED, i8, f32, 0.99872, 127, -8, 7
)
print(f"scale: {uniform.scale}")
print(f"zero point: {uniform.zero_point}")
print(f"fixed point: {uniform.is_fixed_point}")
print(uniform)
assert uniform == Type.parse("!quant.uniform<i8<-8:7>:f32, 0.99872:127>")
@run
def test_uniform_per_axis_type():
with Context():
i8 = IntegerType.get_signless(8)
f32 = F32Type.get()
per_axis = quant.UniformQuantizedPerAxisType.get(
quant.QuantizedType.FLAG_SIGNED,
i8,
f32,
[200, 0.99872],
[0, 120],
quantized_dimension=1,
storage_type_min=quant.QuantizedType.default_minimum_for_integer(
is_signed=True, integral_width=8
),
storage_type_max=quant.QuantizedType.default_maximum_for_integer(
is_signed=True, integral_width=8
),
)
print(f"scales: {per_axis.scales}")
print(f"zero_points: {per_axis.zero_points}")
print(f"quantized dim: {per_axis.quantized_dimension}")
print(f"fixed point: {per_axis.is_fixed_point}")
print(per_axis)
assert per_axis == Type.parse("!quant.uniform<i8:f32:1, {2.0e+2,0.99872:120}>")
@run
def test_calibrated_type():
with Context():
f32 = F32Type.get()
calibrated = quant.CalibratedQuantizedType.get(f32, -0.998, 1.2321)
print(f"min: {calibrated.min}")
print(f"max: {calibrated.max}")
print(calibrated)
assert calibrated == Type.parse("!quant.calibrated<f32<-0.998:1.2321>>")