diff --git a/testdata/dnn/tensorflow/bias_add_1_in.npy b/testdata/dnn/tensorflow/bias_add_1_in.npy
new file mode 100644
index 000000000..2e749acdd
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diff --git a/testdata/dnn/tensorflow/bias_add_1_net.pb b/testdata/dnn/tensorflow/bias_add_1_net.pb
new file mode 100644
index 000000000..517a5a559
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diff --git a/testdata/dnn/tensorflow/bias_add_1_out.npy b/testdata/dnn/tensorflow/bias_add_1_out.npy
new file mode 100644
index 000000000..e0fcb7290
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diff --git a/testdata/dnn/tensorflow/generate_tf_models.py b/testdata/dnn/tensorflow/generate_tf_models.py
index c83778e69..2a08c38ed 100644
--- a/testdata/dnn/tensorflow/generate_tf_models.py
+++ b/testdata/dnn/tensorflow/generate_tf_models.py
@@ -1027,6 +1027,11 @@ def pad_depth(x, desired_channels):
 # writeBlob(blob, 'resize_concat_optimization_in')
 save(inp, concat, 'resize_concat_optimization', optimize=False, is_gen_data=False)
 ################################################################################
+inp = tf.placeholder(tf.float32, [1, 2, 3, 4], 'input')
+sub = inp - 3.0
+sub = 4.0 + sub
+save(inp, sub, prefix + 'bias_add_1', optimize=False)
+################################################################################
 
 # Uncomment to print the final graph.
 # with tf.gfile.FastGFile('fused_batch_norm_net.pb', 'rb') as f: