From 1f99fc6c4dc0d814cc51d285742cb4516f197535 Mon Sep 17 00:00:00 2001
From: Anastasia Murzova <anastasia.murzova@xperience.ai>
Date: Mon, 8 Feb 2021 00:04:40 +0300
Subject: [PATCH] Added TF sum behaviour alignment

---
 testdata/dnn/tensorflow/eltwise_add_vec_in.npy  | Bin 0 -> 1128 bytes
 testdata/dnn/tensorflow/eltwise_add_vec_net.pb  | Bin 0 -> 283 bytes
 testdata/dnn/tensorflow/eltwise_add_vec_out.npy | Bin 0 -> 1128 bytes
 testdata/dnn/tensorflow/generate_tf_models.py   |   6 ++++++
 4 files changed, 6 insertions(+)
 create mode 100644 testdata/dnn/tensorflow/eltwise_add_vec_in.npy
 create mode 100644 testdata/dnn/tensorflow/eltwise_add_vec_net.pb
 create mode 100644 testdata/dnn/tensorflow/eltwise_add_vec_out.npy

diff --git a/testdata/dnn/tensorflow/eltwise_add_vec_in.npy b/testdata/dnn/tensorflow/eltwise_add_vec_in.npy
new file mode 100644
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diff --git a/testdata/dnn/tensorflow/eltwise_add_vec_net.pb b/testdata/dnn/tensorflow/eltwise_add_vec_net.pb
new file mode 100644
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diff --git a/testdata/dnn/tensorflow/eltwise_add_vec_out.npy b/testdata/dnn/tensorflow/eltwise_add_vec_out.npy
new file mode 100644
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diff --git a/testdata/dnn/tensorflow/generate_tf_models.py b/testdata/dnn/tensorflow/generate_tf_models.py
index ef0be0990..dd001f76c 100644
--- a/testdata/dnn/tensorflow/generate_tf_models.py
+++ b/testdata/dnn/tensorflow/generate_tf_models.py
@@ -786,6 +786,12 @@ def pad_depth(x, desired_channels):
 sub = conv - inp
 save(inp, sub, 'eltwise_sub')
 ################################################################################
+inp = tf.placeholder(tf.float32, [1, 5, 5, 10], 'input')
+out1 = tf.keras.layers.MaxPool2D((2, 2), 5, "SAME", name="pooling")(inp)
+out2 = tf.keras.layers.ReLU(name="relu")(inp)
+final_out = tf.math.add(out1, out2, name='tf_sum')
+save(inp, final_out, 'eltwise_add_vec')
+################################################################################
 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)