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4_tf_rank.py
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4_tf_rank.py
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# /* Copyright 2018 kunming.xie
# *
# * Licensed under the Apache License, Version 2.0 (the "License");
# * you may not use this file except in compliance with the License.
# * You may obtain a copy of the License at
# *
# * http://www.apache.org/licenses/LICENSE-2.0
# *
# * Unless required by applicable law or agreed to in writing, software
# * distributed under the License is distributed on an "AS IS" BASIS,
# * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# * See the License for the specific language governing permissions and
# * limitations under the License.
# */
import tensorflow as tf
# tf.rank(
# input,
# name=None
# )
#
# Returns the rank of a tensor.
# tf.rank returns the dimension of a tensor, not the number of elements. For
# instance, the output from tf.rank called for the 2x2 matrix would be 2.
x = tf.constant([[1, 2, 4]]) # 2x2 matrix
x2 = tf.constant([[1, 2, 4], [8, 16, 32]]) # 2x2 matrix
x3 = tf.constant([1, 2, 4]) # 1x1 matrix
with tf.Session() as sess:
print(sess.run(tf.rank(x))) # 2
print(sess.run(tf.rank(x2))) # 2
print(sess.run(tf.rank(x3))) # 1