5d59fa90ce
Arithmetic constants for vector types can be constructed from objects implementing Python buffer protocol such as `array.array`. Note that until Python 3.12, there is no typing support for buffer protocol implementers, so the annotations use array explicitly. Reverts llvm/llvm-project#84103
135 lines
4.8 KiB
Python
135 lines
4.8 KiB
Python
# RUN: %PYTHON %s | FileCheck %s
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from functools import partialmethod
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from mlir.ir import *
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import mlir.dialects.arith as arith
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import mlir.dialects.func as func
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from array import array
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def run(f):
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print("\nTEST:", f.__name__)
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f()
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# CHECK-LABEL: TEST: testConstantOp
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@run
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def testConstantOps():
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with Context() as ctx, Location.unknown():
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module = Module.create()
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with InsertionPoint(module.body):
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arith.ConstantOp(value=42.42, result=F32Type.get())
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# CHECK: %cst = arith.constant 4.242000e+01 : f32
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print(module)
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# CHECK-LABEL: TEST: testFastMathFlags
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@run
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def testFastMathFlags():
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with Context() as ctx, Location.unknown():
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module = Module.create()
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with InsertionPoint(module.body):
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a = arith.ConstantOp(value=42.42, result=F32Type.get())
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r = arith.AddFOp(
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a, a, fastmath=arith.FastMathFlags.nnan | arith.FastMathFlags.ninf
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)
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# CHECK: %0 = arith.addf %cst, %cst fastmath<nnan,ninf> : f32
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print(r)
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# CHECK-LABEL: TEST: testArithValue
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@run
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def testArithValue():
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def _binary_op(lhs, rhs, op: str) -> "ArithValue":
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op = op.capitalize()
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if arith._is_float_type(lhs.type) and arith._is_float_type(rhs.type):
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op += "F"
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elif arith._is_integer_like_type(lhs.type) and arith._is_integer_like_type(
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lhs.type
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):
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op += "I"
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else:
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raise NotImplementedError(f"Unsupported '{op}' operands: {lhs}, {rhs}")
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op = getattr(arith, f"{op}Op")
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return op(lhs, rhs).result
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@register_value_caster(F16Type.static_typeid)
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@register_value_caster(F32Type.static_typeid)
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@register_value_caster(F64Type.static_typeid)
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@register_value_caster(IntegerType.static_typeid)
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class ArithValue(Value):
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def __init__(self, v):
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super().__init__(v)
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__add__ = partialmethod(_binary_op, op="add")
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__sub__ = partialmethod(_binary_op, op="sub")
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__mul__ = partialmethod(_binary_op, op="mul")
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def __str__(self):
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return super().__str__().replace(Value.__name__, ArithValue.__name__)
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with Context() as ctx, Location.unknown():
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module = Module.create()
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f16_t = F16Type.get()
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f32_t = F32Type.get()
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f64_t = F64Type.get()
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with InsertionPoint(module.body):
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a = arith.constant(f16_t, 42.42)
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# CHECK: ArithValue(%cst = arith.constant 4.240
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print(a)
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b = a + a
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# CHECK: ArithValue(%0 = arith.addf %cst, %cst : f16)
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print(b)
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a = arith.constant(f32_t, 42.42)
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b = a - a
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# CHECK: ArithValue(%1 = arith.subf %cst_0, %cst_0 : f32)
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print(b)
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a = arith.constant(f64_t, 42.42)
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b = a * a
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# CHECK: ArithValue(%2 = arith.mulf %cst_1, %cst_1 : f64)
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print(b)
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# CHECK-LABEL: TEST: testArrayConstantConstruction
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@run
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def testArrayConstantConstruction():
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with Context(), Location.unknown():
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module = Module.create()
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with InsertionPoint(module.body):
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i32_array = array("i", [1, 2, 3, 4])
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i32 = IntegerType.get_signless(32)
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vec_i32 = VectorType.get([2, 2], i32)
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arith.constant(vec_i32, i32_array)
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arith.ConstantOp(vec_i32, DenseIntElementsAttr.get(i32_array, type=vec_i32))
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# "q" is the equivalent of `long long` in C and requires at least
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# 64 bit width integers on both Linux and Windows.
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i64_array = array("q", [5, 6, 7, 8])
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i64 = IntegerType.get_signless(64)
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vec_i64 = VectorType.get([1, 4], i64)
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arith.constant(vec_i64, i64_array)
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arith.ConstantOp(vec_i64, DenseIntElementsAttr.get(i64_array, type=vec_i64))
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f32_array = array("f", [1.0, 2.0, 3.0, 4.0])
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f32 = F32Type.get()
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vec_f32 = VectorType.get([4, 1], f32)
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arith.constant(vec_f32, f32_array)
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arith.ConstantOp(vec_f32, DenseFPElementsAttr.get(f32_array, type=vec_f32))
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f64_array = array("d", [1.0, 2.0, 3.0, 4.0])
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f64 = F64Type.get()
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vec_f64 = VectorType.get([2, 1, 2], f64)
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arith.constant(vec_f64, f64_array)
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arith.ConstantOp(vec_f64, DenseFPElementsAttr.get(f64_array, type=vec_f64))
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# CHECK-COUNT-2: arith.constant dense<[{{\[}}1, 2], [3, 4]]> : vector<2x2xi32>
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# CHECK-COUNT-2: arith.constant dense<[{{\[}}5, 6, 7, 8]]> : vector<1x4xi64>
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# CHECK-COUNT-2: arith.constant dense<[{{\[}}1.000000e+00], [2.000000e+00], [3.000000e+00], [4.000000e+00]]> : vector<4x1xf32>
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# CHECK-COUNT-2: arith.constant dense<[{{\[}}[1.000000e+00, 2.000000e+00]], [{{\[}}3.000000e+00, 4.000000e+00]]]> : vector<2x1x2xf64>
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print(module)
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