From 1d8b3321f32ae0c18963f6e8c2d082d55bc4ebda Mon Sep 17 00:00:00 2001
From: tgupta6 <tgupta6@illinois.edu>
Date: Tue, 27 Sep 2016 21:03:54 -0500
Subject: [PATCH] add missing self.
---
answer_classifier_cached_features/inference.py | 2 +-
answer_classifier_cached_features/train.py | 5 ++---
2 files changed, 3 insertions(+), 4 deletions(-)
diff --git a/answer_classifier_cached_features/inference.py b/answer_classifier_cached_features/inference.py
index 8ddbe60..5c115c6 100644
--- a/answer_classifier_cached_features/inference.py
+++ b/answer_classifier_cached_features/inference.py
@@ -97,7 +97,7 @@ class AnswerInference():
self.per_region_answer_scores[j] = tf.nn.relu(
self.batch_norm(
self.per_region_answer_scores[j],
- is_training))
+ self.is_training))
self.per_region_answer_scores[j] = layers.conv2d(
self.per_region_answer_scores[j],
diff --git a/answer_classifier_cached_features/train.py b/answer_classifier_cached_features/train.py
index 14f7f4e..e5d6fd3 100644
--- a/answer_classifier_cached_features/train.py
+++ b/answer_classifier_cached_features/train.py
@@ -108,7 +108,7 @@ class graph_creator():
self.num_neg_answers + 1,
self.space_dim,
self.plh['keep_prob'],
- training)
+ self.training)
self.add_losses()
self.add_accuracy_computation()
@@ -367,8 +367,7 @@ class graph_creator():
attribute_loss_summary = tf.scalar_summary(
"loss_attribute",
self.attribute_loss)
- # self.object_loss = 0.0
- # self.attribute_loss = 0.0
+
else:
self.object_loss = 0.0
self.attribute_loss = 0.0
--
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