diff --git a/testdata/dnn/tensorflow/generate_tf_models.py b/testdata/dnn/tensorflow/generate_tf_models.py
index 0543a97cb..8c282228d 100644
--- a/testdata/dnn/tensorflow/generate_tf_models.py
+++ b/testdata/dnn/tensorflow/generate_tf_models.py
@@ -672,6 +672,11 @@ def pad_depth(x, desired_channels):
 sub = conv - inp
 save(inp, sub, 'eltwise_sub')
 ################################################################################
+inp = tf.placeholder(tf.float32, [None, 2, 3, 4], 'input')
+conv = tf.layers.conv2d(inp, filters=3, kernel_size=[1, 1])
+softmax = tf.contrib.slim.softmax(conv)
+save(inp, softmax, 'slim_softmax')
+################################################################################
 
 # Uncomment to print the final graph.
 # with tf.gfile.FastGFile('fused_batch_norm_net.pb') as f:
diff --git a/testdata/dnn/tensorflow/slim_softmax_in.npy b/testdata/dnn/tensorflow/slim_softmax_in.npy
new file mode 100644
index 000000000..63d6f8aab
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diff --git a/testdata/dnn/tensorflow/slim_softmax_net.pb b/testdata/dnn/tensorflow/slim_softmax_net.pb
new file mode 100644
index 000000000..f888e8fa6
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diff --git a/testdata/dnn/tensorflow/slim_softmax_out.npy b/testdata/dnn/tensorflow/slim_softmax_out.npy
new file mode 100644
index 000000000..d2e7cb5b1
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