From 0e7d1ffc372daed2960d78bf44107491d7431343 Mon Sep 17 00:00:00 2001
From: Dmitry Kurtaev <dmitry.kurtaev+github@gmail.com>
Date: Wed, 27 Mar 2019 15:10:00 +0300
Subject: [PATCH] Fix Mobilenet v2 from TensorFlow slim

---
 testdata/dnn/tensorflow/generate_tf_models.py |   5 +++++
 testdata/dnn/tensorflow/slim_softmax_in.npy   | Bin 0 -> 224 bytes
 testdata/dnn/tensorflow/slim_softmax_net.pb   | Bin 0 -> 854 bytes
 testdata/dnn/tensorflow/slim_softmax_out.npy  | Bin 0 -> 200 bytes
 4 files changed, 5 insertions(+)
 create mode 100644 testdata/dnn/tensorflow/slim_softmax_in.npy
 create mode 100644 testdata/dnn/tensorflow/slim_softmax_net.pb
 create mode 100644 testdata/dnn/tensorflow/slim_softmax_out.npy

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
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diff --git a/testdata/dnn/tensorflow/slim_softmax_net.pb b/testdata/dnn/tensorflow/slim_softmax_net.pb
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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
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