mirror of https://github.com/llvm/torch-mlir
47 lines
1.7 KiB
TableGen
47 lines
1.7 KiB
TableGen
//===-- Passes.td - Pass definition file -------------------*- tablegen -*-===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#ifndef NPCOMP_E2E_PASSES
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#define NPCOMP_E2E_PASSES
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include "mlir/Pass/PassBase.td"
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def LowerLinalgOnTensorToLinalgOnMemref :
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Pass<"lower-linalg-tensor-to-memref", "FuncOp"> {
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let summary = "Lowers linalg on tensors to linalg on memrefs";
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let constructor = "mlir::NPCOMP::createLowerLinalgOnTensorToLinalgOnMemrefPass()";
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}
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def LowerBroadcastToToLoops :
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Pass<"lower-broadcast-to-to-loops", "FuncOp"> {
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let summary = "Lower tcp::BroadcastTo to loops.";
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let constructor = "mlir::NPCOMP::createLowerBroadcastToToLoopsPass()";
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}
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def ResolveShapeOfOps : Pass<"resolve-shape-of-ops", "FuncOp"> {
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let summary = "Resolve shape.shape_of ops to other shapes.";
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let constructor = "mlir::NPCOMP::createResolveShapeOfOpsPass()";
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}
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def ResolveTensorLoadStoreOps : Pass<"resolve-tensor-load-store-ops", "FuncOp"> {
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let summary = "Resolve tensor_load/tensor_store ops";
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let constructor = "mlir::NPCOMP::createResolveTensorLoadStoreOpsPass()";
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}
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def LowerLinalgLoopDimOps : Pass<"lower-linalg-loop-dim-ops", "FuncOp"> {
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let summary = "Lower dim ops introduced by linalg to loops lowering";
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let constructor = "mlir::NPCOMP::createLowerLinalgLoopDimOpsPass();";
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}
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def LowerRankedShapes : Pass<"lower-ranked-shapes", "FuncOp"> {
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let summary = "Lower ranked !shape.shape types to SSA values";
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let constructor = "mlir::NPCOMP::createLowerRankedShapesPass()";
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}
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#endif // NPCOMP_E2E_PASSES
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