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| author | David Luevano Alvarado <55825613+luevano@users.noreply.github.com> | 2020-11-20 22:52:36 -0700 |
|---|---|---|
| committer | David Luevano Alvarado <55825613+luevano@users.noreply.github.com> | 2020-11-20 22:52:36 -0700 |
| commit | 65ccf902c890f09073147aa718897447f5e5ab5b (patch) | |
| tree | 1fb5e40b909ab9e15c7f0ecb5cc35ef9d470d23a | |
| parent | 15e353a18b1c7c70000aaecc41953bd82f5df92c (diff) | |
Just spacing changes
| -rw-r--r-- | other_exp/gcn_classification.py | 5 |
1 files changed, 0 insertions, 5 deletions
diff --git a/other_exp/gcn_classification.py b/other_exp/gcn_classification.py index dc15cf4fd..dad174dd7 100644 --- a/other_exp/gcn_classification.py +++ b/other_exp/gcn_classification.py @@ -2,12 +2,10 @@ import tensorflow as tf from tensorflow.compat.v1 import placeholder from tensorflow.compat.v1.layers import dense - # Disable eager execution (evaluate tf operations instantly instead of having # to build a graph) so placeholder() can work. tf.compat.v1.disable_eager_execution() - n_nodes = 50 n_features = 50 n_labels = 10 @@ -44,6 +42,3 @@ Y_pred = tf.reshape(Y_pred, [-1]) loss = tf.reduce_mean(Y_truth*tf.math.log(Y_pred + 1.0 ** -5)) print(loss) - - -print(tf.__version__) |