0575ab2d46
This patch adds a mix-in class for the only transform op of the tensor dialect that can benefit from one: the MakeLoopIndependentOp. It adds an overload that makes providing the return type optional. Reviewed By: ftynse Differential Revision: https://reviews.llvm.org/D156918
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
# RUN: %PYTHON %s | FileCheck %s
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from mlir.ir import *
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from mlir.dialects import transform
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from mlir.dialects.transform import tensor
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def run(f):
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print("\nTEST:", f.__name__)
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with Context(), Location.unknown():
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module = Module.create()
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with InsertionPoint(module.body):
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sequence = transform.SequenceOp(
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transform.FailurePropagationMode.PROPAGATE,
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[],
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transform.AnyOpType.get(),
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)
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with InsertionPoint(sequence.body):
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f(sequence.bodyTarget)
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transform.YieldOp()
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print(module)
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return f
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@run
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def testMakeLoopIndependentOpCompact(target):
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tensor.MakeLoopIndependentOp(target, 4)
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# CHECK-LABEL: TEST: testMakeLoopIndependentOpCompact
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# CHECK: = transform.tensor.make_loop_independent
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# CHECK-SAME: num_loops = 4 : i64
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# CHECK-SAME: (!transform.any_op) -> !transform.any_op
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@run
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def testMakeLoopIndependentOpTyped(target):
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tensor.MakeLoopIndependentOp(transform.OperationType.get("test.dummy"), target, 4)
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# CHECK-LABEL: TEST: testMakeLoopIndependentOpTyped
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# CHECK: = transform.tensor.make_loop_independent
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# CHECK-SAME: num_loops = 4 : i64
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# CHECK-SAME: (!transform.any_op) -> !transform.op<"test.dummy">
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