5f0d4f208e
Introduce transform ops for "for" loops, in particular for peeling, software pipelining and unrolling, along with a couple of "IR navigation" ops. These ops are intended to be generalized to different kinds of loops when possible and therefore use the "loop" prefix. They currently live in the SCF dialect as there is no clear place to put transform ops that may span across several dialects, this decision is postponed until the ops actually need to handle non-SCF loops. Additionally refactor some common utilities for transform ops into trait or interface methods, and change the loop pipelining to be a returning pattern. Reviewed By: springerm Differential Revision: https://reviews.llvm.org/D127300
72 lines
1.7 KiB
Python
72 lines
1.7 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 import pdl
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from mlir.dialects.transform import loop
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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 getParentLoop():
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sequence = transform.SequenceOp()
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with InsertionPoint(sequence.body):
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loop.GetParentForOp(sequence.bodyTarget, num_loops=2)
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transform.YieldOp()
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# CHECK-LABEL: TEST: getParentLoop
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# CHECK: = transform.loop.get_parent_for %
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# CHECK: num_loops = 2
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@run
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def loopOutline():
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sequence = transform.SequenceOp()
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with InsertionPoint(sequence.body):
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loop.LoopOutlineOp(sequence.bodyTarget, func_name="foo")
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transform.YieldOp()
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# CHECK-LABEL: TEST: loopOutline
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# CHECK: = transform.loop.outline %
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# CHECK: func_name = "foo"
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@run
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def loopPeel():
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sequence = transform.SequenceOp()
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with InsertionPoint(sequence.body):
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loop.LoopPeelOp(sequence.bodyTarget)
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transform.YieldOp()
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# CHECK-LABEL: TEST: loopPeel
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# CHECK: = transform.loop.peel %
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@run
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def loopPipeline():
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sequence = transform.SequenceOp()
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with InsertionPoint(sequence.body):
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loop.LoopPipelineOp(sequence.bodyTarget, iteration_interval=3)
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transform.YieldOp()
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# CHECK-LABEL: TEST: loopPipeline
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# CHECK: = transform.loop.pipeline %
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# CHECK-DAG: iteration_interval = 3
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# CHECK-DAG: read_latency = 10
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@run
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def loopUnroll():
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sequence = transform.SequenceOp()
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with InsertionPoint(sequence.body):
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loop.LoopUnrollOp(sequence.bodyTarget, factor=42)
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transform.YieldOp()
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# CHECK-LABEL: TEST: loopUnroll
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# CHECK: transform.loop.unroll %
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# CHECK: factor = 42
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