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3 # 这个 0 阶张量就是标量，shape=[] [1., 2., 3.] # 这个 1 阶张量就是向量，shape=[3] [[1., 2., 3.], [4., 5., 6.]] # 这个 2 阶张量就是二维数组，shape=[2, 3] [[[1., 2., 3.]], [[7., 8., 9.]]] # 这个 3 阶张量就是三维数组，shape=[2, 1, 3]
请问这个 tensorflow 后面的 shape[2,1,3]怎么来的？
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