4af96a9d83
This patch enhances `MemRefType::areTrailingDimsContiguous` to also handle memrefs with dynamic dimensions. The implementation itself is based on a new member function `MemRefType::getMaxCollapsableTrailingDims` that return the maximum number of trailing dimensions that can be collapsed - trivially all dimensions for memrefs with identity layout, or by examining the memref strides stopping at discontiguous or statically unknown strides.
112 lines
3.7 KiB
C++
112 lines
3.7 KiB
C++
//===- LayoutTest.cpp - unit tests related to memref layout ---------------===//
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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/IR/AffineMap.h"
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#include "mlir/IR/Builders.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "gtest/gtest.h"
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using namespace mlir;
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using namespace mlir::memref;
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//
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// Test the correctness of `memref::getNumContiguousTrailingDims`
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//
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TEST(MemRefLayout, numContigDim) {
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MLIRContext ctx;
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OpBuilder b(&ctx);
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const int64_t _ = ShapedType::kDynamic;
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const FloatType f32 = b.getF32Type();
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auto strided = [&ctx](ArrayRef<int64_t> s) {
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return StridedLayoutAttr::get(&ctx, 0, s);
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};
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// Special case for identity maps and no explicit `strided` attribute - the
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// memref is entirely contiguous even if the strides cannot be determined
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// statically.
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// memref<?x?x?xf32>
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auto m0 = MemRefType::get({_, _, _}, f32);
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EXPECT_EQ(m0.getNumContiguousTrailingDims(), 3);
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// Conservatively assume memref is sparse everywhere if cannot get the
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// strides.
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// memref<2x2x2xf32, (i,j,k)->(i,k,j)>
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auto m1 = MemRefType::get(
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{2, 2, 2}, f32,
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AffineMap::getPermutationMap(ArrayRef<int64_t>{0, 2, 1}, &ctx));
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EXPECT_EQ(m1.getNumContiguousTrailingDims(), 0);
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// A base cases of a fixed memref with the usual strides.
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// memref<2x2x2xf32, strided<[4, 2, 1]>>
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auto m3 = MemRefType::get({2, 2, 2}, f32, strided({4, 2, 1}));
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EXPECT_EQ(m3.getNumContiguousTrailingDims(), 3);
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// A fixed memref with a discontinuity in the rightmost dimension.
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// memref<2x2x2xf32, strided<[8, 4, 2]>>
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auto m4 = MemRefType::get({2, 2, 2}, f32, strided({8, 4, 2}));
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EXPECT_EQ(m4.getNumContiguousTrailingDims(), 0);
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// A fixed memref with a discontinuity in the "middle".
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// memref<2x2x2xf32, strided<[8, 2, 1]>>
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auto m5 = MemRefType::get({2, 2, 2}, f32, strided({8, 2, 1}));
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EXPECT_EQ(m5.getNumContiguousTrailingDims(), 2);
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// A dynamic memref where the dynamic dimension breaks continuity.
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// memref<2x?x2xf32, strided<[4, 2, 1]>>
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auto m6 = MemRefType::get({2, _, 2}, f32, strided({4, 2, 1}));
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EXPECT_EQ(m6.getNumContiguousTrailingDims(), 2);
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// A edge case of a dynamic memref where the dynamic dimension is the first
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// one.
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// memref<?x2x2xf32, strided<[4, 2, 1]>>
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auto m7 = MemRefType::get({2, _, 2}, f32, strided({4, 2, 1}));
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EXPECT_EQ(m7.getNumContiguousTrailingDims(), 2);
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// A memref with a unit dimension. Unit dimensions do not affect continuity,
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// even if the corresponding stride is dynamic.
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// memref<2x1x2xf32, strided<[2,?,1]>>
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auto m8 = MemRefType::get({2, 1, 2}, f32, strided({2, _, 1}));
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EXPECT_EQ(m8.getNumContiguousTrailingDims(), 3);
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}
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//
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// Test the member function `memref::areTrailingDimsContiguous`
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//
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TEST(MemRefLayout, contigTrailingDim) {
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MLIRContext ctx;
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OpBuilder b(&ctx);
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const int64_t _ = ShapedType::kDynamic;
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const FloatType f32 = b.getF32Type();
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auto strided = [&ctx](ArrayRef<int64_t> s) {
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return StridedLayoutAttr::get(&ctx, 0, s);
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};
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// A not-entirely-continuous, not-entirely-discontinuous memref.
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// ensure `areTrailingDimsContiguous` returns `true` for the value
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// returned by `getNumContiguousTrailingDims` and `false` for the next bigger
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// number.
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// memref<2x?x2xf32, strided<[?,2,1]>>
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auto m = MemRefType::get({2, _, 2}, f32, strided({_, 2, 1}));
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int64_t n = m.getNumContiguousTrailingDims();
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EXPECT_TRUE(m.areTrailingDimsContiguous(n));
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ASSERT_TRUE(n + 1 <= m.getRank());
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EXPECT_FALSE(m.areTrailingDimsContiguous(n + 1));
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}
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