Tensorflow获取张量Tensor的具体维数实例
获取Tensor的维数
>>> import tensorflow as tf >>> tf.__version__ '1.2.0-rc1' >>> x=tf.placeholder(dtype=float32,shape=[1,2,3,4]) >>> x=tf.placeholder(dtype=tf.float32,shape=[1,2,3,4]) >>> x.shape TensorShape([Dimension(1), Dimension(2), Dimension(3), Dimension(4)]) >>> x.get_shape() TensorShape([Dimension(1), Dimension(2), Dimension(3), Dimension(4)]) # 返回tuple >>> x.shape[2] Dimension(3) >>> x.get_shape()[2] Dimension(3) # 获取具体维度数值 >>> x.shape[2].value 3 >>> x.get_shape()[2].value 3 # 也可以将TensorShape变量转化为list类型，然后直接按照索引取值 >>> x.shape.as_list() [1, 2, 3, 4] >>> x.shape.as_list() [1, 2, 3, 4] # 可以与int型数值比较 >>> x.shape[2] == 3 True >>> x.get_shape()[2] == 3 True
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