diff --git a/testdata/dnn/tensorflow/expand_dims_1_in.npy b/testdata/dnn/tensorflow/expand_dims_1_in.npy
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diff --git a/testdata/dnn/tensorflow/expand_dims_1_net.pb b/testdata/dnn/tensorflow/expand_dims_1_net.pb
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diff --git a/testdata/dnn/tensorflow/expand_dims_1_out.npy b/testdata/dnn/tensorflow/expand_dims_1_out.npy
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diff --git a/testdata/dnn/tensorflow/expand_dims_2_in.npy b/testdata/dnn/tensorflow/expand_dims_2_in.npy
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diff --git a/testdata/dnn/tensorflow/expand_dims_2_net.pb b/testdata/dnn/tensorflow/expand_dims_2_net.pb
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diff --git a/testdata/dnn/tensorflow/expand_dims_2_out.npy b/testdata/dnn/tensorflow/expand_dims_2_out.npy
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diff --git a/testdata/dnn/tensorflow/generate_tf_models.py b/testdata/dnn/tensorflow/generate_tf_models.py
index 2a08c38ed..36949356c 100644
--- a/testdata/dnn/tensorflow/generate_tf_models.py
+++ b/testdata/dnn/tensorflow/generate_tf_models.py
@@ -1032,6 +1032,16 @@ def pad_depth(x, desired_channels):
 sub = 4.0 + sub
 save(inp, sub, prefix + 'bias_add_1', optimize=False)
 ################################################################################
+inp = tf.placeholder(tf.float32, [1, 2, 3, 4], 'input')
+expand_dim = inp + 1
+expand_dim = tf.expand_dims(expand_dim, -2)
+save(inp, expand_dim, prefix + 'expand_dims_1', optimize=False)
+################################################################################
+inp = tf.placeholder(tf.float32, [1, 2, 3, 4, 5], 'input')
+expand_dim = inp + 1
+expand_dim = tf.expand_dims(expand_dim, 2)
+save(inp, expand_dim, prefix + 'expand_dims_2', optimize=False)
+################################################################################
 
 # Uncomment to print the final graph.
 # with tf.gfile.FastGFile('fused_batch_norm_net.pb', 'rb') as f: