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martinwickemartinwicke
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update docs
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‎tensorflow/g3doc/api_docs/python/array_ops.md‎

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@@ -269,20 +269,20 @@ This operation returns an integer representing the rank of `input`.
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For example:
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```prettyprint
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```python
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# 't' is [[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]
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# shape of tensor 't' is [2, 2, 3]
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rank(t) ==> 3
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```
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**Note**: The rank of a tensor is not the same as the rank of a matrix. The rank
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of a tensor is the number of indices required to uniquely select each element
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of the tensor. Rank is also known as "order", "degree", or "ndims."
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**Note**: The rank of a tensor is not the same as the rank of a matrix. The
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rank of a tensor is the number of indices required to uniquely select each
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element of the tensor. Rank is also known as "order", "degree", or "ndims."
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##### Args:
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* <b>`input`</b>: A `Tensor`.
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* <b>`input`</b>: A `Tensor` or `SparseTensor`.
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* <b>`name`</b>: A name for the operation (optional).
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##### Returns:

‎tensorflow/g3doc/api_docs/python/constant_op.md‎

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* <b>`tensor`</b>: A `Tensor`.
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* <b>`dtype`</b>: A type for the returned `Tensor`. Must be `float32`, `float64`,
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`int8`, `int16`, `int32`, `int64`, `uint8`, `complex64` or `complex128`.
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`int8`, `int16`, `int32`, `int64`, `uint8`, `complex64`, or `complex128`.
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* <b>`name`</b>: A name for the operation (optional).
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