// Update the scale in the quantize op.
    auto new_qtype = RescaleQtype(q_op.getQtype(), gamma_cst);
    if (!new_qtype) return failure();
    rewriter.replaceOpWithNewOp<TFL::QuantizeOp>(q_op, new_qtype.getValue(),
                                                 new_filter, new_qtype);

    // If bias isn't None, it needs to be multiplied as well.

  }
  if (refined_shape || lhs_element_type != lhs_shape_type.getElementType()) {
    Type new_type;
    if (!lhs_shape_type.hasRank() && !rhs_shape_type.hasRank())
      new_type = UnrankedTensorType::get(lhs_element_type);
    else
      new_type = lhs_shape_type.clone(shape, lhs_element_type);
    DCOMMENT("Refined to: " << new_type);
    return new_type;
  }
  DCOMMENT("No refinement " << lhs);
  return lhs;
}

  llvm::SmallVector<mlir::Type, 4> ret_types;
  ret_types.reserve(fbody.ret_types.size());
  for (auto ret : fbody.ret_nodes) {
    // Find node in the graph using the node id instead of using `ret` directly
    // because the graph has been cloned.
    auto* node = graph_->FindNodeId(ret->id());
    TF_ASSIGN_OR_RETURN(auto type, InferInputType(*node, /*idx=*/0, builder));
    ret_types.push_back(type);
  }

			},
			expectedPatchRequests:    1,
			expectedPatchDataPattern: `{"status":{"\$setElementOrder/conditions":\[{"type":"someOtherType"},{"type":"newType"}],"conditions":\[{"lastProbeTime":"2020-05-13T01:01:01Z","lastTransitionTime":".*","message":"newMessage","reason":"newReason","status":"newStatus","type":"newType"}]}}`,
		},
		{
			name: "Should make patch request to update an existing pod condition",
			currentPodConditions: []v1.PodCondition{

    }
  }

  std::vector<int64_t> new_shape = value_attr.getType().getShape().vec();
  new_shape[0] = lookup_attr.getType().getShape()[0];
  auto new_type = value_attr.getType().clone(new_shape);

  return DenseElementsAttr::get(new_type, new_values);
}

//===----------------------------------------------------------------------===//
// ConstBytesAttr