3f2891db6d
Add basic test for shape.const_shape op as start. Differential Revision: https://reviews.llvm.org/D102341
33 lines
855 B
Python
33 lines
855 B
Python
# RUN: %PYTHON %s | FileCheck %s
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from mlir.ir import *
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import numpy as np
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import mlir.dialects.builtin as builtin
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import mlir.dialects.shape as shape
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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: testConstShape
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@run
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def testConstShape():
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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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indexT = IndexType.get()
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with InsertionPoint(module.body):
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@builtin.FuncOp.from_py_func(
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RankedTensorType.get((12, -1), f32))
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def const_shape_tensor(arg):
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return shape.ConstShapeOp(RankedTensorType.get((2,), indexT),
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DenseElementsAttr.get(np.array([10, 20])))
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# CHECK-LABEL: func @const_shape_tensor(%arg0: tensor<12x?xf32>)
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# CHECK: shape.const_shape [10, 20] : tensor<2xindex>
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print(module)
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