Converts an array of flat indices into a tuple of coordinate arrays.

tf.unravel_index( indices, dims, name=None )

y = tf.unravel_index(indices=[2, 5, 7], dims=[3, 3]) # 'dims' represent a hypothetical (3, 3) tensor of indices: # [[0, 1, *2*], # [3, 4, *5*], # [6, *7*, 8]] # For each entry from 'indices', this operation returns # its coordinates (marked with '*'), such as # 2 ==> (0, 2) # 5 ==> (1, 2) # 7 ==> (2, 1) y ==> [[0, 1, 2], [2, 2, 1]]

Args | |
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`indices` | A `Tensor` . Must be one of the following types: `int32` , `int64` . An 0-D or 1-D `int` Tensor whose elements are indices into the flattened version of an array of dimensions dims. |

`dims` | A `Tensor` . Must have the same type as `indices` . An 1-D `int` Tensor. The shape of the array to use for unraveling indices. |

`name` | A name for the operation (optional). |

Returns | |
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A `Tensor` . Has the same type as `indices` . |

Equivalent to np.unravel_index

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Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/unravel_index