Merge pull request #455 from Xilinx/jrickert.error_in_shape_inference

Do not emit error in shape inference if this error only means that the shape could not be computed.

Author: jorickert

src/Dialect/ONNX/ONNXOps/Tensor/Resize.cpp

@@ -47,7 +47,7 @@ bool isAbsent(Value input) {
 LogicalResult ONNXResizeOpShapeHelper::computeShape() {
   ONNXResizeOpAdaptor operandAdaptor(operands, cast<ONNXResizeOp>(op));
   if (operandAdaptor.getAxes().has_value())
-    return op->emitOpError("axes are unsupported");
+    return failure();
   const auto x = operandAdaptor.getX();
   if (!hasShapeAndRank(x)) {
     return failure();

src/Dialect/ONNX/ONNXOps/Tensor/Slice.cpp

@@ -43,7 +43,7 @@ LogicalResult ONNXSliceOpShapeHelper::computeShape() {
     createIE->getIntFromArrayAsSymbols(axes, axesSymbol);
     for (IndexExpr val : axesSymbol) {
       if (!val.isLiteral())
-        return op->emitError("Axes must be known at compile time");
+        return success();
       int64_t axis = val.getLiteral();
       if (axis < 0)
         axis += dataRank;