66645a03fc
The pipeline string must now include the pass manager's anchor op. This makes the parse API properly roundtrip the printed form of a pass manager. Reviewed By: mehdi_amini Differential Revision: https://reviews.llvm.org/D136405
23 lines
440 B
Python
23 lines
440 B
Python
# RUN: %PYTHON %s | FileCheck %s
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from mlir.ir import *
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from mlir.passmanager import *
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from mlir.dialects import sparse_tensor as st
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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: testSparseTensorPass
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@run
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def testSparseTensorPass():
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with Context() as context:
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PassManager.parse('any(sparsification)')
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PassManager.parse('any(sparse-tensor-conversion)')
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# CHECK: SUCCESS
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print('SUCCESS')
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