(4.x) Merge 3.4

testdata/dnn/tensorflow/generate_tf_models.py

@@ -594,6 +594,19 @@ def keras_relu6(x):
 inp = tf.placeholder(tf.float32, [2, 3, 4, 5], 'input')
 reduced = tf.reduce_sum(inp, axis=[2], keepdims=False)
 save(inp, reduced, 'sum_pool_by_axis')
+###############################################################################
+#This test case generated by tensorflow 1.15.0
+axises = [[0], [1], [2], [3], [1, 2]]
+for axis in axises:
+    for keepdims in [False, True]:
+        inp = tf.placeholder(tf.float32, [2, 3, 4, 1])
+        biasadd = tf.nn.bias_add(inp, [1], data_format='NHWC')
+        print(axis, keepdims)
+        reduced = tf.reduce_sum(biasadd, axis=axis, keepdims=keepdims)
+        if len(axis) == 1:
+            save(inp, reduced + 1, f'reduce_sum_{axis[0]}_{keepdims}')
+        else:
+            save(inp, reduced + 1, f'reduce_sum_{axis[0]}_{axis[1]}_{keepdims}')
 ################################################################################
 inp = tf.placeholder(tf.float32, [1, 4, 2, 3], 'input')
 out = tf.math.reduce_sum(inp, axis=-1)