python - Tensorflow large tensor split to small tensor -

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i have tensor below

x = tf.variable(tf.truncated_normal([batch, input]), stddev=0.1))

assume batch = 99, input= 5, , split small tensor.

if x below:

[[1.0, 2.0, 3.0, 4.0, 5.0]  [2.0, 3.0, 4.0, 5.0, 6.0]  [3.0, 4.0, 5.0, 6.0, 7.0]  [4.0, 5.0, 6.0, 7.0, 8.0]  .........................  .........................  .........................  [44.0, 55.0, 66.0, 77.0, 88.0]  [55.0, 66.0, 77.0, 88.0, 99.0]]

i want split 2 tensors

[[1.0, 2.0, 3.0, 4.0, 5.0]  [2.0, 3.0, 4.0, 5.0, 6.0]  [3.0, 4.0, 5.0, 6.0, 7.0]]

and

 [4.0, 5.0, 6.0, 7.0, 8.0]  .........................  .........................  [44.0, 55.0, 66.0, 77.0, 88.0]  [55.0, 66.0, 77.0, 88.0, 99.0]]

i don't know how use tf.split split row.

an expedient way call tf.slice twice.


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