release 0.0.6 (#46)

* update docs due to text example; cleanup code
* version up to 0.0.6

darkon/gradcam/gradcam.py

@@ -171,7 +171,7 @@ def gradcam(self, sess, input_data, target_index=None, feed_options=dict()):
         return ret
 
     @staticmethod
-    def candidate_featuremap_op_names(sess, graph=None, feed_options=dict()):
+    def candidate_featuremap_op_names(sess, graph=None, feed_options=None):
         """ Returns the list of candidates for operation names of CNN feature map layer
 
         Parameters
@@ -189,10 +189,11 @@ def candidate_featuremap_op_names(sess, graph=None, feed_options=dict()):
 
         """
         graph = graph if graph is not None else tf.get_default_graph()
+        feed_options = feed_options if feed_options is not None else {}
         return candidate_featuremap_op_names(sess, graph, feed_options)
 
     @staticmethod
-    def candidate_predict_op_names(sess, num_classes, graph=None, feed_options=dict()):
+    def candidate_predict_op_names(sess, num_classes, graph=None, feed_options=None):
         """ Returns the list of candidate for operation names of prediction layer
 
         Parameters
@@ -212,6 +213,7 @@ def candidate_predict_op_names(sess, num_classes, graph=None, feed_options=dict(
 
         """
         graph = graph if graph is not None else tf.get_default_graph()
+        feed_options = feed_options if feed_options is not None else {}
         return candidate_predict_op_names(sess, num_classes, graph, feed_options)
 
     @staticmethod

darkon/influence/influence.py

@@ -306,7 +306,7 @@ def _get_inverse_hvp_lissa(self, sess, test_grad_loss):
         print_iter = ihvp_config['recursion_depth'] / 10
 
         inverse_hvp = None
-        for sample_idx in range(ihvp_config['num_repeats']):
+        for _ in range(ihvp_config['num_repeats']):
             cur_estimate = test_grad_loss
             # debug_diffs_estimation = []
             # prev_estimation_norm = np.linalg.norm(np.concatenate([a.reshape(-1) for a in cur_estimate]))

docs/src/example.rst

@@ -9,12 +9,10 @@ All of examples in `here`_
 
 darkon.Influence
 ----------------
-Used Cifar-10, ResNet
+Cifar-10, ResNet
 
 - `Upweighting Influence`_
-
 - `Mislabel detection with all of layers`_
-
 - `Mislabel detection with one top layer`_
 
 .. _`Upweighting Influence`: http://nbviewer.jupyter.org/github/darkonhub/darkon-examples/blob/master/cifar10-resnet/influence_cifar10_resnet.ipynb
@@ -25,8 +23,15 @@ Used Cifar-10, ResNet
 
 darkon.Gradcam
 --------------
-Used ImageNet, ResNet
+ImageNet, ResNet
+
+- `Gradcam & Guided Gradcam for image`_
+
+Sentence polarity dataset, cnn text classification 
+
+- `Heatmap for text`_
+
+.. _`Gradcam & Guided Gradcam for image`: http://nbviewer.jupyter.org/github/darkonhub/darkon-examples/blob/master/gradcam/GradcamDemo.ipynb
 
-- `Gradcam & Guided Gradcam`_
+.. _`Heatmap for text`: http://nbviewer.jupyter.org/github/darkonhub/darkon-examples/blob/master/gradcam/GradcamDemoSequence.ipynb
 
-.. _`Gradcam & Guided Gradcam`: http://nbviewer.jupyter.org/github/darkonhub/darkon-examples/blob/master/gradcam/GradcamDemo.ipynb

docs/src/version.rst

@@ -6,6 +6,7 @@ Version      Link
 ===========  =============================================
 All History  https://github.com/darkonhub/darkon/releases
 Latest       https://github.com/darkonhub/darkon/releases/latest
+0.0.6        https://github.com/darkonhub/darkon/releases/tag/v0.0.6
 0.0.5        https://github.com/darkonhub/darkon/releases/tag/v0.0.5
 0.0.4        https://github.com/darkonhub/darkon/releases/tag/v0.0.4
 0.0.3        https://github.com/darkonhub/darkon/releases/tag/v0.0.3

download-models.sh

@@ -1,11 +1,23 @@
+#!/bin/bash
 test_model_dir="./test/data"
 
-wget http://download.tensorflow.org/models/resnet_v1_50_2016_08_28.tar.gz
-wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz
-wget https://raw.githubusercontent.com/darkonhub/darkon-examples/master/gradcam/sequence.tar
-
 mkdir -p $test_model_dir
-tar -xf resnet_v1_50_2016_08_28.tar.gz -C $test_model_dir
-tar -xf vgg_16_2016_08_28.tar.gz -C $test_model_dir
-tar -xf sequence.tar -C $test_model_dir
+
+resnet_file="resnet_v1_50_2016_08_28.tar.gz"
+if ! [ -f $resnet_file ]; then
+	wget http://download.tensorflow.org/models/$resnet_file
+	tar -xf $resnet_file -C $test_model_dir
+fi
+
+vgg_file="vgg_16_2016_08_28.tar.gz"
+if ! [ -f $vgg_file ]; then
+	wget http://download.tensorflow.org/models/$vgg_file
+	tar -xf $vgg_file -C $test_model_dir
+fi
+
+text_sequence_file="sequence.tar"
+if ! [ -f $text_sequence_file ]; then
+	wget https://raw.githubusercontent.com/darkonhub/darkon-examples/master/gradcam/$text_sequence_file
+	tar -xf $text_sequence_file -C $test_model_dir
+fi
 

info.json

@@ -1,6 +1,6 @@
 {
   "name": "darkon",
-  "version": "0.0.5",
+  "version": "0.0.6",
   "authors": "Neosapience, Inc.",
   "github_url": "https://github.com/darkonhub/darkon",
   "copyright": "<a href='http://www.neosapience.com'>2017 Neosapience, Inc</a>"