diff --git a/vta/tutorials/frontend/deploy_classification.py b/vta/tutorials/frontend/deploy_classification.py
index b2f909b9710aa..8a2a9d74e2a9a 100644
--- a/vta/tutorials/frontend/deploy_classification.py
+++ b/vta/tutorials/frontend/deploy_classification.py
@@ -100,7 +100,7 @@
 # When target is 'pynq', reconfigure FPGA and runtime.
 # Otherwise, if target is 'sim', execute locally.
 
-if env.TARGET not in ["sim", "tsim", "intelfocl"]:
+if env.TARGET not in ["tsim", "intelfocl"]:
 
     # Get remote from tracker node if environment variable is set.
     # To set up the tracker, you'll need to follow the "Auto-tuning
@@ -191,7 +191,7 @@
                 env.WGT_WIDTH,
                 start_name=pack_dict[model][0],
                 stop_name=pack_dict[model][1],
-                device_annot=(env.TARGET == "intelfocl" or env.TARGET == "sim"),
+                device_annot=(env.TARGET == "intelfocl"),
             )
     else:
         relay_prog = mod["main"]
@@ -221,7 +221,7 @@
     remote.upload(temp.relpath("graphlib.tar"))
     lib = remote.load_module("graphlib.tar")
 
-    if env.TARGET == "intelfocl" or env.TARGET == "sim":
+    if env.TARGET == "intelfocl":
         ctxes = [remote.ext_dev(0), remote.cpu(0)]
         m = graph_runtime.create(graph, lib, ctxes)
     else: