Imported Upstream version 0.4upstream/0.4

1 files changed, 0 insertions, 33 deletions

diff --git a/res/TensorFlowPythonExamples/examples/while_3/__init__.py b/res/TensorFlowPythonExamples/examples/while_3/__init__.py
deleted file mode 100644
index 840846e7e..000000000
--- a/res/TensorFlowPythonExamples/examples/while_3/__init__.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import tensorflow as tf
-
-x = tf.compat.v1.placeholder(shape=[1, None], dtype=tf.int32, name='Hole')
-i = tf.compat.v1.placeholder(shape=[1, None], dtype=tf.int32, name='Hole_2')
-
-
-def c(ii):
-    rs = tf.compat.v1.shape(ii)
-    r1 = rs[1]
-    return tf.compat.v1.less(r1, 10)
-
-
-def b(ii):
-    return tf.concat([ii, x], axis=1)
-
-
-# this loop changes i's shape from [1, 0] -> [1, 1] -> [1, 2] -> ... -> [1, 10]
-r = tf.compat.v1.while_loop(
-    c, b, [i], name="While", shape_invariants=[tf.TensorShape([1, None])])
-
-output = tf.compat.v1.identity(r, name="Output")
-
-# by adding the following code, [[123 1 2 3 1 2 3 1 2 3]] and (1, 10) will be printed
-#
-'''
-import numpy as np
-i_val = np.array([[123]], dtype=np.int32)
-x_val = np.array([[1, 2, 3]], dtype=np.int32)
-with tf.compat.v1.Session() as sess:
-  result = sess.run(r, feed_dict={x:x_val, i:i_val})
-  print(result)
-  print(result.shape)
-'''