karl_TUM - 1 year ago 351

Python Question

I meet a problem: After I use the tf.nn.max_pool_with_argmax, I obtain the indices i.e.

`argmax: A Tensor of type Targmax. 4-D. The flattened indices of the max values chosen for each output.`

How to unravel the flattened indices back to the coordinates list in Tensorflow?

Thank you very much.

Answer Source

I had the same problem today and I ended up with this solution:

```
def unravel_argmax(argmax, shape):
output_list = []
output_list.append(argmax // (shape[2] * shape[3]))
output_list.append(argmax % (shape[2] * shape[3]) // shape[3])
return tf.pack(output_list)
```

Here is a usage example in a ipython notebook (I use it to forward the pooling argmax positions to my unpooling method)