[mlir][tosa] Fix level check on unranked input tensor

This commit fixes a segfault that occurred on operators with
unranked input tensors. Operator specific level checks performed
before the rank check incorrectly assumed all inputs were shaped.

Change-Id: Ib1e60f5bd59f1bd74c0276fe208383ef30dceb18

Author: lhutton1

mlir/lib/Dialect/Tosa/Transforms/TosaValidation.cpp

@@ -758,6 +758,10 @@ LogicalResult TosaValidation::applyLevelCheck(Operation *op) {
     return success();
   }
 
+  // check rank and sizes early so later checks can assume shaped operands
+  if (!levelCheckRanksAndSizes(op))
+    return failure();
+
   // additional level checks from spec 0.70
   if (!levelCheckPool<tosa::AvgPool2dOp>(op) ||
       !levelCheckConv<tosa::Conv2DOp>(op) ||
@@ -770,10 +774,6 @@ LogicalResult TosaValidation::applyLevelCheck(Operation *op) {
     return failure();
   }
 
-  if (!levelCheckRanksAndSizes(op)) {
-    return failure();
-  }
-
   // level check MAX_TENSOR_LIST_SIZE
   if (!levelCheckListSize(op)) {
     return failure();