import tensorflow as tf # 6个班级的学生分数情况 a = tf.ones([4, 35, 8]) b = tf.ones([2, 35, 8]) c = tf.concat([a, b], axis=0) c.shape
# 3个学生学生补考 a = tf.ones([4, 32, 8]) b = tf.ones([4, 3, 8]) tf.concat([a, b], axis=1).shape
a = tf.ones([4, 35, 8]) b = tf.ones([4, 35, 8]) a.shape b.shape tf.concat([a, b], axis=-1).shape
tf.stack([a, b], axis=0).shape
tf.stack([a, b], axis=3).shape
a = tf.ones([4, 35, 8]) b = tf.ones([3, 33, 8]) try: tf.concat([a, b], axis=0).shape except Exception as e: print(e)
# concat保证只有一个维度不相等 b = tf.ones([2, 35, 8]) c = tf.concat([a, b], axis=0) c.shape # stack保证所有维度相等 try: tf.stack([a, b], axis=0) except Exception as e: print(e)
a.shape b = tf.ones([4, 35, 8]) c = tf.stack([a, b]) c.shape
aa, bb = tf.unstack(c, axis=0)
aa.shape, bb.shape
# [2,4,35,8] res = tf.unstack(c, axis=3) # 8个[2, 4, 35]的Tensor res[0].shape, res[1].shape, res[7].shape
# [2,4,35,8] res = tf.unstack(c, axis=2) # 35个[2, 4, 8]的Tensor res[0].shape, res[1].shape, res[34].shape
# 8个Tensor,全为1 res = tf.unstack(c, axis=3) len(res) # 2个Tensor,一个6、一个2 res = tf.split(c, axis=3, num_or_size_splits=2) len(res) res[0].shape
res = tf.split(c, axis=3, num_or_size_splits=[2, 2, 4])
res[0].shape, res[1].shape, res[2].shape
原文:https://www.cnblogs.com/tszr/p/12130167.html