derek.holloway
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45 lines
1.4 KiB
Python
45 lines
1.4 KiB
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.func as func
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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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with InsertionPoint(module.body):
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@func.FuncOp.from_py_func(
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RankedTensorType.get((12, ShapedType.get_dynamic_size()), f32)
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)
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def const_shape_tensor(arg):
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shape.ConstWitnessOp(False)
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shape.ConstSizeOp(30)
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shape.ConstSizeOp(IntegerAttr.get(IndexType.get(), 40))
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x = shape.ConstShapeOp([1, 2])
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shape.MeetOp(x, x, error="impossible")
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return shape.ConstShapeOp(
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DenseElementsAttr.get(
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np.array([3, 4], dtype=np.int64), type=IndexType.get()
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)
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)
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# CHECK-LABEL: func @const_shape_tensor(%arg0: tensor<12x?xf32>)
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# CHECK-DAG: shape.const_witness false
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# CHECK-DAG: shape.const_size 30
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# CHECK-DAG: shape.const_size 40
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# CHECK-DAG: shape.const_shape [1, 2] : tensor<2xindex>
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# CHECK-DAG: shape.const_shape [3, 4] : tensor<2xindex>
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print(module)
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