[Mlir-commits] [mlir] [MLIR] VectorEmulateNarrowType to support loading of unaligned vectors (PR #113411)
llvmlistbot at llvm.org
llvmlistbot at llvm.org
Fri Oct 25 14:18:43 PDT 2024
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@@ -294,35 +312,67 @@ struct ConvertVectorLoad final : OpConversionPattern<vector::LoadOp> {
// %1 = vector.load %0[%linear_index] : memref<6xi8>, vector<2xi8>
// %2 = vector.bitcast %1 : vector<2xi8> to vector<4xi4>
//
- // TODO: Currently, only the even number of elements loading is supported.
- // To deal with the odd number of elements, one has to extract the
- // subvector at the proper offset after bit-casting.
+ // There are cases where the number of elements to load is not byte-aligned,
+ // for example:
+ //
+ // %1 = vector.load %0[%c1, %c0] : memref<3x3xi2>, vector<3xi2>
+ //
+ // we will have to load extra bytes and extract the exact slice in between.
+ //
+ // %1 = vector.load %0[%c2] : memref<3xi8>, vector<2xi8>
+ // %2 = vector.bitcast %1 : vector<2xi8> to vector<8xi2>
+ // %3 = vector.extract_strided_slice %1 {offsets = [2], sizes = [3], strides
+ // = [1]}
+ // : vector<8xi2> to vector<3xi2>
+ //
+ // TODO: Currently the extract_strided_slice's attributes must be known at
+ // compile time as they must be constants.
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MaheshRavishankar wrote:
Maybe for the dynamic case then we should be looking at using `vector.extract`/`vector.insert`.
https://github.com/llvm/llvm-project/pull/113411
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