# RUN: %PYTHON %s | FileCheck %s from mlir.ir import * from mlir.dialects import quant def run(f): print("\nTEST:", f.__name__) f() return f # CHECK-LABEL: TEST: test_type_hierarchy @run def test_type_hierarchy(): with Context(): i8 = IntegerType.get_signless(8) any = Type.parse("!quant.any:f32>") uniform = Type.parse("!quant.uniform:f32, 0.99872:127>") per_axis = Type.parse("!quant.uniform") calibrated = Type.parse("!quant.calibrated>") 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) # CHECK-LABEL: TEST: test_any_quantized_type @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 ) # CHECK: flags: 1 print(f"flags: {any.flags}") # CHECK: signed: True print(f"signed: {any.is_signed}") # CHECK: storage type: i8 print(f"storage type: {any.storage_type}") # CHECK: expressed type: f32 print(f"expressed type: {any.expressed_type}") # CHECK: storage min: -8 print(f"storage min: {any.storage_type_min}") # CHECK: storage max: 7 print(f"storage max: {any.storage_type_max}") # CHECK: storage width: 8 print(f"storage width: {any.storage_type_integral_width}") # CHECK: quantized element type: !quant.any:f32> print(f"quantized element type: {any.quantized_element_type}") # CHECK: !quant.any:f32> print(any) assert any == Type.parse("!quant.any:f32>") # CHECK-LABEL: TEST: test_uniform_type @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 ) # CHECK: scale: 0.99872 print(f"scale: {uniform.scale}") # CHECK: zero point: 127 print(f"zero point: {uniform.zero_point}") # CHECK: fixed point: False print(f"fixed point: {uniform.is_fixed_point}") # CHECK: !quant.uniform:f32, 9.987200e-01:127> print(uniform) assert uniform == Type.parse("!quant.uniform:f32, 0.99872:127>") # CHECK-LABEL: TEST: test_uniform_per_axis_type @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 ), ) # CHECK: scales: None print(f"scales: {per_axis.scales}") # CHECK: zero_points: None print(f"zero_points: {per_axis.zero_points}") # CHECK: quantized dim: 1 print(f"quantized dim: {per_axis.quantized_dimension}") # CHECK: fixed point: False print(f"fixed point: {per_axis.is_fixed_point}") # CHECK: !quant.uniform print(per_axis) assert per_axis == Type.parse("!quant.uniform") # CHECK-LABEL: TEST: test_calibrated_type @run def test_calibrated_type(): with Context(): f32 = F32Type.get() calibrated = quant.CalibratedQuantizedType.get(f32, -0.998, 1.2321) # CHECK: min: -0.998 print(f"min: {calibrated.min}") # CHECK: max: 1.2321 print(f"max: {calibrated.max}") # CHECK: !quant.calibrated> print(calibrated) assert calibrated == Type.parse("!quant.calibrated>")