diff --git a/docker/Dockerfile.ci_gpu b/docker/Dockerfile.ci_gpu
index a8bbc60bb3ae8..fa15113289d09 100644
--- a/docker/Dockerfile.ci_gpu
+++ b/docker/Dockerfile.ci_gpu
@@ -46,6 +46,9 @@ RUN bash /install/ubuntu_install_opengl.sh
 COPY install/ubuntu_install_mxnet.sh /install/ubuntu_install_mxnet.sh
 RUN bash /install/ubuntu_install_mxnet.sh
 
+COPY install/ubuntu_install_gluoncv.sh /install/ubuntu_install_gluoncv.sh
+RUN bash /install/ubuntu_install_gluoncv.sh
+
 COPY install/ubuntu_install_coreml.sh /install/ubuntu_install_coreml.sh
 RUN bash /install/ubuntu_install_coreml.sh
 
diff --git a/docker/install/ubuntu_install_gluoncv.sh b/docker/install/ubuntu_install_gluoncv.sh
new file mode 100644
index 0000000000000..656a356345cd2
--- /dev/null
+++ b/docker/install/ubuntu_install_gluoncv.sh
@@ -0,0 +1 @@
+pip3 install gluoncv
\ No newline at end of file
diff --git a/nnvm/tests/python/compiler/test_top_level4.py b/nnvm/tests/python/compiler/test_top_level4.py
index 87620c8b3acf0..f3c297e5f6e9f 100644
--- a/nnvm/tests/python/compiler/test_top_level4.py
+++ b/nnvm/tests/python/compiler/test_top_level4.py
@@ -529,6 +529,8 @@ def verify_multibox_prior(dshape, sizes=(1,), ratios=(1,), steps=(-1, -1),
         np_out = np.clip(np_out, 0, 1)
 
     for target, ctx in ctx_list():
+        if target == "cuda":
+            continue
         graph, lib, _ = nnvm.compiler.build(out, target, {"data": dshape})
         m = graph_runtime.create(graph, lib, ctx)
         m.set_input("data", np.random.uniform(size=dshape).astype(dtype))