how to assign values in Tensor according to the indices?

[jiankang1991]

I want to assign values in a tensor according to the indices.

For example, According to the pooling values and the corresponding indices output of tf.nn.max_pool_with_argmax, I want to put these pooling values back into the original unpooling Tensor given the indices.

According to the trick in Adjust Single Value within Tensor — TensorFlow
I can recreate sparse tensor with the indices.
But here is the problem: tf.SparseTensor should input the unflattened indices i.e. the ndims coordinates list.
If I use this method, how to unravel the flattened indices obtained by tf.nn.max_pool_with_argmax to the normal indices?
If I do not use this method, is there any way in Tensorflow to achieve this work?
Thank you very much.

[jiankang1991]

@vrv @mrry @girving
Thank you very much.

[jiankang1991]

I also post my question in stackoverflow:
http://stackoverflow.com/questions/37679697/in-tensorflow-how-to-assign-values-in-tensor-according-to-the-indices

[girving]

Thank you for posting the question on StackOverflow! See also #2075.