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
40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
# RUN: %PYTHON %s | FileCheck %s
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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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import mlir.dialects.tensor as tensor
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def run(f):
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print("\nTEST:", f.__name__)
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f()
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return f
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# CHECK-LABEL: TEST: testDimOp
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@run
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def testDimOp():
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with Context() as ctx, Location.unknown():
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module = Module.create()
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f32Type = F32Type.get()
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indexType = IndexType.get()
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with InsertionPoint(module.body):
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@func.FuncOp.from_py_func(RankedTensorType.get((-1, -1), f32Type))
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# CHECK: func @tensor_static_dim
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# CHECK-SAME: %[[ARG0:.+]]: tensor<?x?xf32>
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# CHECK-DAG: %[[C0:.+]] = arith.constant 0 : index
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# CHECK-DAG: %[[C1:.+]] = arith.constant 1 : index
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# CHECK: %[[D0:.+]] = tensor.dim %[[ARG0]], %[[C0]]
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# CHECK: %[[D1:.+]] = tensor.dim %[[ARG0]], %[[C1]]
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# CHECK: return %[[D0]], %[[D1]]
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def tensor_static_dim(t):
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c0 = arith.ConstantOp(indexType, 0)
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c1 = arith.ConstantOp(indexType, 1)
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d0 = tensor.DimOp(t, c0)
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d1 = tensor.DimOp(t, c1)
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return [d0.result, d1.result]
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print(module)
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