f9008e6366
This is an ongoing series of commits that are reformatting our Python code. Reformatting is done with `black`. If you end up having problems merging this commit because you have made changes to a python file, the best way to handle that is to run git checkout --ours <yourfile> and then reformat it with black. If you run into any problems, post to discourse about it and we will try to help. RFC Thread below: https://discourse.llvm.org/t/rfc-document-and-standardize-python-code-style Differential Revision: https://reviews.llvm.org/D150782
64 lines
2.2 KiB
Python
64 lines
2.2 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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)
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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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