3655069234
This commit moves FuncOp out of the builtin dialect, and into the Func dialect. This move has been planned in some capacity from the moment we made FuncOp an operation (years ago). This commit handles the functional aspects of the move, but various aspects are left untouched to ease migration: func::FuncOp is re-exported into mlir to reduce the actual API churn, the assembly format still accepts the unqualified `func`. These temporary measures will remain for a little while to simplify migration before being removed. Differential Revision: https://reviews.llvm.org/D121266
60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
# RUN: %PYTHON %s | FileCheck %s
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from mlir.ir import *
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from mlir.dialects import builtin
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from mlir.dialects import func
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from mlir.dialects import linalg
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from mlir.dialects.linalg.opdsl.lang import *
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T1 = TV.T1
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T2 = TV.T2
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@linalg_structured_op
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def fill_poly(value=ScalarDef(T1), O=TensorDef(U, output=True)):
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O[None] = TypeFn.cast_signed(U, value)
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@linalg_structured_op
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def fill_rank_zero_poly(I=TensorDef(T1), O=TensorDef(U, output=True)):
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O[None] = TypeFn.cast_signed(U, I[None])
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with Context() as ctx, Location.unknown():
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module = Module.create()
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f32 = F32Type.get()
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with InsertionPoint(module.body):
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# Fill indexing maps.
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# CHECK-DAG: #[[$MAP0:.+]] = affine_map<() -> ()>
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# CHECK-DAG: #[[$MAP1:.+]] = affine_map<(d0, d1) -> ()>
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# CHECK-DAG: #[[$MAP2:.+]] = affine_map<(d0, d1) -> (d0, d1)>
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# CHECK-DAG: #[[$MAP3:.+]] = affine_map<(d0, d1, d2) -> ()>
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# CHECK-DAG: #[[$MAP4:.+]] = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
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# CHECK-LABEL: @test_fill_0d
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# CHECK: linalg.generic
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# CHECK-SAME: indexing_maps = [#[[$MAP0]], #[[$MAP0]]
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# CHECK-SAME: iterator_types = []
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@func.FuncOp.from_py_func(f32, RankedTensorType.get([], f32))
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def test_fill_0d(value, init_result):
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return fill_poly(value, outs=[init_result])
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# CHECK-LABEL: @test_fill_2d
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# CHECK: linalg.generic
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# CHECK-SAME: indexing_maps = [#[[$MAP1]], #[[$MAP2]]]
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# CHECK-SAME: iterator_types = ["parallel", "parallel"]
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@func.FuncOp.from_py_func(f32, RankedTensorType.get([4, 16], f32))
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def test_fill_2d(value, init_result):
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return fill_poly(value, outs=[init_result])
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# CHECK-LABEL: @test_fill_rank_zero_3d
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# CHECK: linalg.generic
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# CHECK-SAME: indexing_maps = [#[[$MAP3]], #[[$MAP4]]]
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# CHECK-SAME: iterator_types = ["parallel", "parallel", "parallel"]
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@func.FuncOp.from_py_func(
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RankedTensorType.get([], f32), RankedTensorType.get([4, 8, 16], f32))
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def test_fill_rank_zero_3d(input, init_result):
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return fill_rank_zero_poly(input, outs=[init_result])
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print(module)
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