Dots printed calling forward function

[giobus75]

Hi, using the forward function during the evaluation, I got several dots as video output. Dots are printed after some batches are processed (in my application every 205 batches).

Digging a bit in the code I found out that it is probably due to the function void Tensor::select(Tensor *A, Tensor *B, vector<int> sind, int ini, int end, bool mask_zeros). Maybe the cout<<"....."; at row 794 could be the issue.

I did not have this problem with the tagged version 0.7.1.

Thank you.

[salvacarrion]

I not sure if I have understood the problem. Can you elaborate on it a bit more? Btw, the last release is v0.8a.

[giobus75]

Hi, I mean that the cout at row 794 in https://github.com/deephealthproject/eddl/blob/v0.8a/src/tensor/tensor_core.cpp (and not present in the v0.7.1) is probably causing some unwanted print of dots at the screen. Specifically, this happens during the evaluation step as I call the forward function (row 188 in the code of my application https://github.com/deephealthproject/promort_pipeline/blob/master/python/promort_cassandra.py) In the attached image, the output of my program:

By the way, you can get a similar behavior running the example mnist_loss (or mnist_rnn_func.cpp or mnist_mlp_func.cpp). This is a sample of mnist_loss output:

You don't get the same behavior by using the other mnist examples that do not call the forward function. This issue is present both using the cpu and the gpu. I hope it is useful :-). Giovanni

[salvacarrion]

okay, understood. We'll try to use the same printing as in the other examples.

[RParedesPalacios]

Ok new Release we will remove this dots