[mlir][Vector] Don't fully unroll transfer_writes of n-D scalable vectors (#71924)
It is not possible to unroll a scalable vector at compile time. This currently prevents transfer_writes from being lowered to arm_sme.tile_writes (downstream).
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@ -1218,6 +1218,11 @@ struct UnrollTransferWriteConversion
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auto vec = getDataVector(xferOp);
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auto xferVecType = xferOp.getVectorType();
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if (xferVecType.getScalableDims()[0]) {
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// Cannot unroll a scalable dimension at compile time.
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return failure();
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}
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int64_t dimSize = xferVecType.getShape()[0];
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Value source = xferOp.getSource(); // memref or tensor to be written to.
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auto sourceType = isTensorOp(xferOp) ? xferOp.getShapedType() : Type();
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@ -737,4 +737,14 @@ func.func @cannot_lower_transfer_read_with_leading_scalable(%arg0: memref<?x4xf3
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// CHECK-SAME: %[[MEMREF:.*]]: memref<?x4xf32>)
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// CHECK: %{{.*}} = vector.transfer_read %[[MEMREF]][%{{.*}}, %{{.*}}], %{{.*}}, %{{.*}} {in_bounds = [true, true]} : memref<?x4xf32>, vector<[4]x4xf32>
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// -----
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// FULL-UNROLL-LABEL: @cannot_fully_unroll_transfer_write_of_nd_scalable_vector
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func.func @cannot_fully_unroll_transfer_write_of_nd_scalable_vector(%vec: vector<[4]x[4]xf32>, %memref: memref<?x?xf32>) {
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// FULL-UNROLL-NOT: vector.extract
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// FULL-UNROLL: vector.transfer_write {{.*}} : vector<[4]x[4]xf32>, memref<?x?xf32>
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// FULL-UNROLL-NOT: vector.extract
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%c0 = arith.constant 0 : index
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vector.transfer_write %vec, %memref[%c0, %c0] {in_bounds = [true, true]} : vector<[4]x[4]xf32>, memref<?x?xf32>
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return
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}
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