e2310704d8
Create the memref dialect and move dialect-specific ops from std dialect to this dialect. Moved ops: AllocOp -> MemRef_AllocOp AllocaOp -> MemRef_AllocaOp AssumeAlignmentOp -> MemRef_AssumeAlignmentOp DeallocOp -> MemRef_DeallocOp DimOp -> MemRef_DimOp MemRefCastOp -> MemRef_CastOp MemRefReinterpretCastOp -> MemRef_ReinterpretCastOp GetGlobalMemRefOp -> MemRef_GetGlobalOp GlobalMemRefOp -> MemRef_GlobalOp LoadOp -> MemRef_LoadOp PrefetchOp -> MemRef_PrefetchOp ReshapeOp -> MemRef_ReshapeOp StoreOp -> MemRef_StoreOp SubViewOp -> MemRef_SubViewOp TransposeOp -> MemRef_TransposeOp TensorLoadOp -> MemRef_TensorLoadOp TensorStoreOp -> MemRef_TensorStoreOp TensorToMemRefOp -> MemRef_BufferCastOp ViewOp -> MemRef_ViewOp The roadmap to split the memref dialect from std is discussed here: https://llvm.discourse.group/t/rfc-split-the-memref-dialect-from-std/2667 Differential Revision: https://reviews.llvm.org/D98041
61 lines
2.0 KiB
C++
61 lines
2.0 KiB
C++
//===- TestMemRefStrideCalculation.cpp - Pass to test strides computation--===//
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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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#include "mlir/Dialect/MemRef/IR/MemRef.h"
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#include "mlir/Dialect/StandardOps/IR/Ops.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Transforms/Passes.h"
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using namespace mlir;
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namespace {
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struct TestMemRefStrideCalculation
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: public PassWrapper<TestMemRefStrideCalculation, FunctionPass> {
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void runOnFunction() override;
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};
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} // end anonymous namespace
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/// Traverse AllocOp and compute strides of each MemRefType independently.
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void TestMemRefStrideCalculation::runOnFunction() {
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llvm::outs() << "Testing: " << getFunction().getName() << "\n";
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getFunction().walk([&](memref::AllocOp allocOp) {
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auto memrefType = allocOp.getResult().getType().cast<MemRefType>();
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int64_t offset;
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SmallVector<int64_t, 4> strides;
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if (failed(getStridesAndOffset(memrefType, strides, offset))) {
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llvm::outs() << "MemRefType " << memrefType << " cannot be converted to "
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<< "strided form\n";
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return;
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}
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llvm::outs() << "MemRefType offset: ";
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if (offset == MemRefType::getDynamicStrideOrOffset())
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llvm::outs() << "?";
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else
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llvm::outs() << offset;
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llvm::outs() << " strides: ";
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llvm::interleaveComma(strides, llvm::outs(), [&](int64_t v) {
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if (v == MemRefType::getDynamicStrideOrOffset())
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llvm::outs() << "?";
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else
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llvm::outs() << v;
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});
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llvm::outs() << "\n";
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});
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llvm::outs().flush();
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}
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namespace mlir {
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namespace test {
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void registerTestMemRefStrideCalculation() {
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PassRegistration<TestMemRefStrideCalculation> pass(
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"test-memref-stride-calculation", "Test operation constant folding");
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}
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} // namespace test
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} // namespace mlir
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