91f1161133
Transform interpreter functionality can be used standalone without going through the interpreter pass, make it available in Python.
57 lines
1.4 KiB
Python
57 lines
1.4 KiB
Python
# RUN: %PYTHON %s | FileCheck %s
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from mlir import ir
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from mlir.dialects.transform import interpreter as interp
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def test_in_context(f):
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with ir.Context(), ir.Location.unknown():
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f()
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return f
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print_root_module = """
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module attributes {transform.with_named_sequence} {
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transform.named_sequence @__transform_main(%root: !transform.any_op) {
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transform.print %root { name = \"from interpreter\" }: !transform.any_op
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transform.yield
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}
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}"""
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@test_in_context
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def print_self():
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m = ir.Module.parse(print_root_module.replace("from interpreter", "print_self"))
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interp.apply_named_sequence(m, m.body.operations[0], m)
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# CHECK-LABEL: print_self
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# CHECK: transform.named_sequence @__transform_main
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# CHECK: transform.print
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# CHECK: transform.yield
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@test_in_context
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def print_other():
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transform = ir.Module.parse(
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print_root_module.replace("from interpreter", "print_other")
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)
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payload = ir.Module.parse("module attributes { this.is.payload } {}")
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interp.apply_named_sequence(payload, transform.body.operations[0], transform)
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# CHECK-LABEL: print_other
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# CHECK-NOT: transform
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# CHECK: this.is.payload
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@test_in_context
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def failed():
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payload = ir.Module.parse("module attributes { this.is.payload } {}")
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try:
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interp.apply_named_sequence(payload, payload, payload)
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except ValueError as e:
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assert (
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"must implement TransformOpInterface to be used as transform root" in str(e)
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)
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