[mlir][tosa] Update Tosa conv verifier to handle IntegerType input

[rsuderman]

Summary

Input/output types can be integers, which represent a quantized convolution.
Update verifier to expect this behavior.

mlir/lib/Dialect/Tosa/IR/TosaOps.cpp

static LogicalResult verifyConvOp(T op) {
   // All TOSA conv ops have an input() and weight().
   auto inputType = op.input().getType().template dyn_cast<RankedTensorType>();
   auto weightType = op.weight().getType().template dyn_cast<RankedTensorType>();
 
   // Must be ranked tensor types
   if (!inputType || !weightType)
     return failure();
 
-  auto inputQType =
-      inputType.getElementType().template isa<mlir::quant::QuantizedType>();
-  auto weightQType =
-      weightType.getElementType().template isa<mlir::quant::QuantizedType>();
+  auto inputEType = inputType.getElementType();
+  auto weightEType = weightType.getElementType();
+
+  bool inputIsQuant = !inputEType.template isa<FloatType>();
+  bool weightIsQuant = !weightEType.template isa<FloatType>();
 
   // Either both must be quantized or both unquantized.
-  if (inputQType != weightQType)
+  if (inputIsQuant != weightIsQuant)
     return failure();
 
   // Quantized type must have constructed the quantizationattr, and unquantized
   // types should not have a quantizationattr.
-  if ((inputQType && !op.quantization_info()) ||
-      (!inputQType && op.quantization_info()))
+  if ((inputIsQuant && !op.quantization_info()) ||
+      (!inputIsQuant && op.quantization_info()))
     return failure();
 
   return success();
 }
 
 //===----------------------------------------------------------------------===//
 // TOSA Operator Quantization Builders.
 //===----------------------------------------------------------------------===//