a13c715aae
This patch adds mix-in classes for the Python bindings of `EmptyTensorToAllocTensorOp` and `OneShotBufferizeOp`. For both classes, the mix-in add overloads to the `__init__` functions that allow to construct them without providing the return type, which is defaulted to the only allowed type and `AnyOpType`, respectively. Note that the mix-in do not expose the `function_boundary_type_conversion` attribute. The attribute has a custom type from the bufferization dialect that is currently not exposed in the Python bindings. Handling of that attribute can be added easily to the mix-in class when the need arises. Reviewed By: springerm Differential Revision: https://reviews.llvm.org/D155799
105 lines
3.5 KiB
Python
105 lines
3.5 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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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=True,
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allow_unknown_ops=True,
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bufferize_function_boundaries=True,
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create_deallocs=True,
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test_analysis_only=True,
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print_conflicts=True,
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memcpy_op="memref.copy",
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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: allow_return_allocs = 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: 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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