mirror of
https://github.com/capstone-engine/llvm-capstone.git
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6bf043e743
This commit removes the deallocation capabilities of one-shot-bufferization. One-shot-bufferization should never deallocate any memrefs as this should be entirely handled by the ownership-based-buffer-deallocation pass going forward. This means the `allow-return-allocs` pass option will default to true now, `create-deallocs` defaults to false and they, as well as the escape attribute indicating whether a memref escapes the current region, will be removed. A new `allow-return-allocs-from-loops` option is added as a temporary workaround for some bufferization limitations.
108 lines
3.8 KiB
Python
108 lines
3.8 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 bufferization
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from mlir.dialects.bufferization import LayoutMapOption
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def run(f):
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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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print("\nTEST:", f.__name__)
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f()
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print(module)
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return f
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@run
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def testEmptyTensorToAllocTensorOpCompact():
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sequence = transform.SequenceOp(
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transform.FailurePropagationMode.Propagate,
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[],
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transform.OperationType.get("tensor.empty"),
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)
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with InsertionPoint(sequence.body):
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bufferization.EmptyTensorToAllocTensorOp(sequence.bodyTarget)
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transform.YieldOp()
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# CHECK-LABEL: TEST: testEmptyTensorToAllocTensorOpCompact
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# CHECK: = transform.bufferization.empty_tensor_to_alloc_tensor
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# CHECK-SAME: (!transform.op<"tensor.empty">) -> !transform.op<"bufferization.alloc_tensor">
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@run
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def testEmptyTensorToAllocTensorOpTyped():
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sequence = transform.SequenceOp(
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transform.FailurePropagationMode.Propagate,
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[],
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transform.OperationType.get("tensor.empty"),
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)
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with InsertionPoint(sequence.body):
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bufferization.EmptyTensorToAllocTensorOp(
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transform.OperationType.get("bufferization.alloc_tensor"),
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sequence.bodyTarget,
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)
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transform.YieldOp()
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# CHECK-LABEL: TEST: testEmptyTensorToAllocTensorOpTyped
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# CHECK: = transform.bufferization.empty_tensor_to_alloc_tensor
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# CHECK-SAME: (!transform.op<"tensor.empty">) -> !transform.op<"bufferization.alloc_tensor">
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@run
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def testOneShotBufferizeOpCompact():
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sequence = transform.SequenceOp(
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transform.FailurePropagationMode.Propagate, [], transform.AnyOpType.get()
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)
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with InsertionPoint(sequence.body):
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bufferization.OneShotBufferizeOp(sequence.bodyTarget)
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transform.YieldOp()
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# CHECK-LABEL: TEST: testOneShotBufferizeOpCompact
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# CHECK: = transform.bufferization.one_shot_bufferize
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# CHECK-SAME: (!transform.any_op) -> !transform.any_op
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@run
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def testOneShotBufferizeOpTyped():
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sequence = transform.SequenceOp(
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transform.FailurePropagationMode.Propagate, [], transform.AnyOpType.get()
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)
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with InsertionPoint(sequence.body):
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bufferization.OneShotBufferizeOp(
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transform.OperationType.get("test.dummy"),
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sequence.bodyTarget,
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)
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transform.YieldOp()
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# CHECK-LABEL: TEST: testOneShotBufferizeOpTyped
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# CHECK: = transform.bufferization.one_shot_bufferize
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# CHECK-SAME: (!transform.any_op) -> !transform.op<"test.dummy">
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@run
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def testOneShotBufferizeOpAttributes():
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sequence = transform.SequenceOp(
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transform.FailurePropagationMode.Propagate, [], transform.AnyOpType.get()
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)
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with InsertionPoint(sequence.body):
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bufferization.OneShotBufferizeOp(
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sequence.bodyTarget,
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allow_return_allocs_from_loops=True,
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allow_unknown_ops=True,
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bufferize_function_boundaries=True,
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function_boundary_type_conversion=LayoutMapOption.IdentityLayoutMap,
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memcpy_op="linalg.copy",
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print_conflicts=True,
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test_analysis_only=True,
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)
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transform.YieldOp()
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# CHECK-LABEL: TEST: testOneShotBufferizeOpAttributes
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# CHECK: = transform.bufferization.one_shot_bufferize
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# CHECK-SAME: layout{IdentityLayoutMap}
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# CHECK-SAME: allow_return_allocs_from_loops = true
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# CHECK-SAME: allow_unknown_ops = true
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# CHECK-SAME: bufferize_function_boundaries = true
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# CHECK-SAME: memcpy_op = "linalg.copy"
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# CHECK-SAME: print_conflicts = true
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# CHECK-SAME: test_analysis_only = true
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# CHECK-SAME: (!transform.any_op) -> !transform.any_op
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