This updates most (all?) error-diagnostic-emitting python APIs to
capture error diagnostics and include them in the raised exception's
message:
```
>>> Operation.parse('"arith.addi"() : () -> ()'))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
mlir._mlir_libs.MLIRError: Unable to parse operation assembly:
error: "-":1:1: 'arith.addi' op requires one result
note: "-":1:1: see current operation: "arith.addi"() : () -> ()
```
The diagnostic information is available on the exception for users who
may want to customize the error message:
```
>>> try:
... Operation.parse('"arith.addi"() : () -> ()')
... except MLIRError as e:
... print(e.message)
... print(e.error_diagnostics)
... print(e.error_diagnostics[0].message)
...
Unable to parse operation assembly
[<mlir._mlir_libs._mlir.ir.DiagnosticInfo object at 0x7fed32bd6b70>]
'arith.addi' op requires one result
```
Error diagnostics captured in exceptions aren't propagated to diagnostic
handlers, to avoid double-reporting of errors. The context-level
`emit_error_diagnostics` option can be used to revert to the old
behaviour, causing error diagnostics to be reported to handlers instead
of as part of exceptions.
API changes:
- `Operation.verify` now raises an exception on verification failure,
instead of returning `false`
- The exception raised by the following methods has been changed to
`MLIRError`:
- `PassManager.run`
- `{Module,Operation,Type,Attribute}.parse`
- `{RankedTensorType,UnrankedTensorType}.get`
- `{MemRefType,UnrankedMemRefType}.get`
- `VectorType.get`
- `FloatAttr.get`
closes #60595
depends on D144804, D143830
Reviewed By: stellaraccident
Differential Revision: https://reviews.llvm.org/D143869
148 lines
4.5 KiB
Python
148 lines
4.5 KiB
Python
# RUN: %PYTHON %s 2>&1 | FileCheck %s
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import gc, sys
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from mlir.ir import *
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from mlir.passmanager import *
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from mlir.dialects.func import FuncOp
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# Log everything to stderr and flush so that we have a unified stream to match
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# errors/info emitted by MLIR to stderr.
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def log(*args):
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print(*args, file=sys.stderr)
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sys.stderr.flush()
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def run(f):
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log("\nTEST:", f.__name__)
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f()
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gc.collect()
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assert Context._get_live_count() == 0
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# Verify capsule interop.
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# CHECK-LABEL: TEST: testCapsule
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def testCapsule():
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with Context():
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pm = PassManager()
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pm_capsule = pm._CAPIPtr
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assert '"mlir.passmanager.PassManager._CAPIPtr"' in repr(pm_capsule)
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pm._testing_release()
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pm1 = PassManager._CAPICreate(pm_capsule)
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assert pm1 is not None # And does not crash.
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run(testCapsule)
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# CHECK-LABEL: TEST: testConstruct
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@run
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def testConstruct():
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with Context():
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# CHECK: pm1: 'any()'
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# CHECK: pm2: 'builtin.module()'
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pm1 = PassManager()
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pm2 = PassManager("builtin.module")
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log(f"pm1: '{pm1}'")
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log(f"pm2: '{pm2}'")
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# Verify successful round-trip.
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# CHECK-LABEL: TEST: testParseSuccess
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def testParseSuccess():
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with Context():
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# An unregistered pass should not parse.
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try:
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pm = PassManager.parse("builtin.module(func.func(not-existing-pass{json=false}))")
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except ValueError as e:
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# CHECK: ValueError exception: {{.+}} 'not-existing-pass' does not refer to a registered pass
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log("ValueError exception:", e)
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else:
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log("Exception not produced")
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# A registered pass should parse successfully.
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pm = PassManager.parse("builtin.module(func.func(print-op-stats{json=false}))")
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# CHECK: Roundtrip: builtin.module(func.func(print-op-stats{json=false}))
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log("Roundtrip: ", pm)
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run(testParseSuccess)
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# Verify successful round-trip.
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# CHECK-LABEL: TEST: testParseSpacedPipeline
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def testParseSpacedPipeline():
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with Context():
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# A registered pass should parse successfully even if has extras spaces for readability
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pm = PassManager.parse("""builtin.module(
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func.func( print-op-stats{ json=false } )
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)""")
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# CHECK: Roundtrip: builtin.module(func.func(print-op-stats{json=false}))
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log("Roundtrip: ", pm)
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run(testParseSpacedPipeline)
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# Verify failure on unregistered pass.
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# CHECK-LABEL: TEST: testParseFail
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def testParseFail():
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with Context():
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try:
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pm = PassManager.parse("any(unknown-pass)")
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except ValueError as e:
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# CHECK: ValueError exception: MLIR Textual PassPipeline Parser:1:1: error:
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# CHECK-SAME: 'unknown-pass' does not refer to a registered pass or pass pipeline
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# CHECK: unknown-pass
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# CHECK: ^
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log("ValueError exception:", e)
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else:
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log("Exception not produced")
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run(testParseFail)
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# Check that adding to a pass manager works
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# CHECK-LABEL: TEST: testAdd
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@run
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def testAdd():
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pm = PassManager("any", Context())
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# CHECK: pm: 'any()'
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log(f"pm: '{pm}'")
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# CHECK: pm: 'any(cse)'
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pm.add("cse")
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log(f"pm: '{pm}'")
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# CHECK: pm: 'any(cse,cse)'
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pm.add("cse")
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log(f"pm: '{pm}'")
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# Verify failure on incorrect level of nesting.
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# CHECK-LABEL: TEST: testInvalidNesting
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def testInvalidNesting():
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with Context():
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try:
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pm = PassManager.parse("func.func(normalize-memrefs)")
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except ValueError as e:
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# CHECK: ValueError exception: Can't add pass 'NormalizeMemRefs' restricted to 'builtin.module' on a PassManager intended to run on 'func.func', did you intend to nest?
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log("ValueError exception:", e)
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else:
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log("Exception not produced")
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run(testInvalidNesting)
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# Verify that a pass manager can execute on IR
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# CHECK-LABEL: TEST: testRunPipeline
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def testRunPipeline():
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with Context():
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pm = PassManager.parse("any(print-op-stats{json=false})")
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func = FuncOp.parse(r"""func.func @successfulParse() { return }""")
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pm.run(func)
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# CHECK: Operations encountered:
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# CHECK: func.func , 1
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# CHECK: func.return , 1
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run(testRunPipeline)
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# CHECK-LABEL: TEST: testRunPipelineError
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@run
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def testRunPipelineError():
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with Context() as ctx:
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ctx.allow_unregistered_dialects = True
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op = Operation.parse('"test.op"() : () -> ()')
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pm = PassManager.parse("any(cse)")
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try:
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pm.run(op)
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except MLIRError as e:
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# CHECK: Exception: <
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# CHECK: Failure while executing pass pipeline:
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# CHECK: error: "-":1:1: 'test.op' op trying to schedule a pass on an unregistered operation
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# CHECK: note: "-":1:1: see current operation: "test.op"() : () -> ()
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# CHECK: >
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print(f"Exception: <{e}>")
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