[Mlir-commits] [mlir] [mlir][tensor] Introduce `FoldTensorCastUnPackOp` (PR #121393)
llvmlistbot at llvm.org
llvmlistbot at llvm.org
Thu Jan 2 07:13:17 PST 2025
================
@@ -4865,6 +4867,83 @@ struct FoldTensorCastPackOp : public OpRewritePattern<PackOp> {
}
};
+/// Folds a tensor.cast op into a consuming tensor::UnPackOp op if the
+/// `tensor.cast` has source that is more static than the consuming op.
+///
+/// Example:
+/// ```mlir
+/// %1 = tensor.cast %0 : tensor<1x1x8x1xi32> to tensor<1x1x?x1xi32>
+/// %2 = tensor.unpack %1 ... : tensor<1x1x8x1xi32> -> tensor<7x?xi32>
+/// ```
+///
+/// folds into:
+///
+/// ```mlir
+/// %2 = tensor.unpack %0 ... tensor<1x1x8x1xi32> -> tensor<7x?xi32>
+/// ```
+struct FoldTensorCastUnPackOp : public OpRewritePattern<UnPackOp> {
+ using OpRewritePattern<UnPackOp>::OpRewritePattern;
+
+ LogicalResult matchAndRewrite(UnPackOp op,
+ PatternRewriter &rewriter) const override {
+ if (!foldTensorCastPrecondition(op))
+ return failure();
+
+ SmallVector<Type> newResultTypes(op->getResultTypes());
+ SmallVector<Value> newOperands = getNewOperands(op, newResultTypes);
+ Value sourceTensor = newOperands[0];
+
+ // Get the updated mixed-tile-sizes attribute.
+ SmallVector<OpFoldResult> newMixedTileSizes;
+ for (auto it : llvm::zip(cast<ShapedType>(sourceTensor.getType())
+ .getShape()
+ .take_back(op.getMixedTiles().size()),
+ op.getMixedTiles())) {
+ int64_t shape = std::get<0>(it);
+ // If the current source shape is dynamic, just preserve this mixed
+ // size.
+ if (shape == ShapedType::kDynamic) {
+ newMixedTileSizes.push_back(std::get<1>(it));
+ continue;
+ }
+
+ // If the current source is static, update the dynamic mixed-size
+ // (provided the original value is dynamic).
+ if (Attribute attr =
+ llvm::dyn_cast_if_present<Attribute>(std::get<1>(it))) {
----------------
Max191 wrote:
nit: Can you add a local variable (similar to what you did above with `shape`) for the second iterator's value (e.g., something like `tile`)? I think it makes it more clear what the iterator is when reading the code.
https://github.com/llvm/llvm-project/pull/121393
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