[Mlir-commits] [mlir] [MLIR] Implement emulation of static indexing subbyte type vector stores (PR #115922)

Han-Chung Wang llvmlistbot at llvm.org
Wed Nov 20 10:59:43 PST 2024


================
@@ -350,32 +423,154 @@ struct ConvertVectorStore final : OpConversionPattern<vector::StoreOp> {
     // vector.store %bitcast, %alloc[%linear_index] : memref<16xi8>,
     // vector<4xi8>
 
-    auto origElements = op.getValueToStore().getType().getNumElements();
-    if (origElements % scale != 0)
-      return failure();
+    auto origElements = valueToStore.getType().getNumElements();
+    bool isUnalignedEmulation = origElements % numSrcElemsPerDest != 0;
 
     auto stridedMetadata =
         rewriter.create<memref::ExtractStridedMetadataOp>(loc, op.getBase());
 
     OpFoldResult linearizedIndices;
-    std::tie(std::ignore, linearizedIndices) =
+    memref::LinearizedMemRefInfo linearizedInfo;
+    std::tie(linearizedInfo, linearizedIndices) =
         memref::getLinearizedMemRefOffsetAndSize(
             rewriter, loc, srcBits, dstBits,
             stridedMetadata.getConstifiedMixedOffset(),
             stridedMetadata.getConstifiedMixedSizes(),
             stridedMetadata.getConstifiedMixedStrides(),
             getAsOpFoldResult(adaptor.getIndices()));
 
-    auto numElements = origElements / scale;
-    auto bitCast = rewriter.create<vector::BitCastOp>(
-        loc, VectorType::get(numElements, newElementType),
-        op.getValueToStore());
+    auto foldedNumFrontPadElems =
+        isUnalignedEmulation
+            ? getConstantIntValue(linearizedInfo.intraDataOffset)
+            : 0;
+
+    if (!foldedNumFrontPadElems) {
+      // Unimplemented case for dynamic front padding size != 0
+      return failure();
+    }
+
+    TypedValue<MemRefType> emulatedMemref =
+        cast<TypedValue<MemRefType>>(adaptor.getBase());
----------------
hanhanW wrote:

nit: use auto because cast already spells the type.

https://llvm.org/docs/CodingStandards.html#use-auto-type-deduction-to-make-code-more-readable

https://github.com/llvm/llvm-project/pull/115922


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