[LOG] print output dim instead of input dim in model summary
authorSeungbaek Hong <sb92.hong@samsung.com>
Thu, 1 Jun 2023 08:27:07 +0000 (17:27 +0900)
committerMyungJoo Ham <myungjoo.ham@samsung.com>
Thu, 27 Jul 2023 01:03:39 +0000 (10:03 +0900)
commit3cb53620e02e95a3c3b256316f69d2c5bc8f826d
treedf7e72c3f0db1394ec14692aaf947b11614c2901
parentb261d551974acd55df556a9b1915719316e7729f
[LOG] print output dim instead of input dim in model summary

When we print the model architecture using summarize method,
nntrainer prints input dimension of each layer.

But, tensorflow and pytorch are printing output dimmension
of each layer in the summary, thus it is inconvenient
to compare each layer with tf and torch models.

Thus, I suggest to print output dimension of each layer
instead of input dimension in the model summary.

**Self evaluation:**
1. Build test:  [X]Passed [ ]Failed [ ]Skipped
2. Run test:  [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: Seungbaek Hong <sb92.hong@samsung.com>
nntrainer/models/neuralnet.cpp