Functions — github.com/JudyYe/zero-shot-gcn

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Functions97 in github.com/JudyYe/zero-shot-gcn

⨍ Functions 97 ◇ Types & classes 7

↓ 14 callersMethodload

(self, sess=None)

src/gcn/models.py:78

↓ 5 callersFunctiondot

Wrapper for tf.matmul (sparse vs dense).

src/gcn/layers.py:30

↓ 3 callersMethod__init__

(self, **kwargs)

src/gcn/layers.py:54

↓ 3 callersMethod_log_vars

(self)

src/gcn/layers.py:80

↓ 3 callersFunctionmake_corresp

(name)

src/tools/prepare_list.py:175

↓ 3 callersFunctionsample_mask_sigmoid

Create mask.

src/gcn/utils.py:25

↓ 3 callersFunctionsparse_dropout

Dropout for sparse tensors.

src/gcn/layers.py:21

↓ 3 callersFunctionsparse_to_tuple

Convert sparse matrix to tuple representation.

src/gcn/utils.py:96

↓ 3 callersFunctionzeros

All zeros.

src/gcn/inits.py:18

↓ 2 callersFunctionglorot

Glorot & Bengio (AISTATS 2010) init.

src/gcn/inits.py:11

↓ 2 callersFunctionmake_zero_shot_list

(name)

src/tools/prepare_list.py:120

↓ 2 callersFunctionmask_mse_loss

Sigmoid cross-entropy loss with masking.

src/gcn/metrics.py:32

↓ 2 callersFunctionnormalize_adj

Symmetrically normalize adjacency matrix.

src/gcn/utils.py:148

↓ 2 callersFunctionprepare_graph

()

src/tools/prepare_list.py:231

↓ 2 callersFunctionto_tuple

(mx)

src/gcn/utils.py:99

↓ 1 callersMethod__init__

(self, **kwargs)

src/gcn/models.py:9

↓ 1 callersMethod_accuracy

(self)

src/gcn/models.py:68

↓ 1 callersMethod_accuracy

(self)

src/gcn/models.py:150

↓ 1 callersMethod_build

(self)

src/gcn/models.py:37

↓ 1 callersMethod_build

(self)

src/gcn/models.py:116

↓ 1 callersMethod_call

(self, inputs)

src/gcn/layers.py:68

↓ 1 callersMethod_loss

(self)

src/gcn/models.py:65

↓ 1 callersMethod_loss

(self)

src/gcn/models.py:147

↓ 1 callersFunctionadd_edge_dfs

(node)

src/tools/prepare_list.py:45

↓ 1 callersMethodbuild

Wrapper for _build()

src/gcn/models.py:40

↓ 1 callersFunctionchebyshev_recurrence

(t_k_minus_one, t_k_minus_two, scaled_lap)

src/gcn/utils.py:188

↓ 1 callersFunctionconstruct_feed_dict

Construct feed dictionary.

src/gcn/utils.py:164

↓ 1 callersFunctionconvert_graph

(save_dir)

src/tools/convert_to_gcn_data.py:92

↓ 1 callersFunctionconvert_input

(wv_file, save_dir)

src/tools/convert_to_gcn_data.py:28

↓ 1 callersFunctionconvert_label

save visual classifier

src/tools/convert_to_gcn_data.py:46

↓ 1 callersFunctionconvert_to_gcn_data

(model_path, layer_name, offset, wv_file)

src/tools/convert_to_gcn_data.py:15

↓ 1 callersFunctionconvert_to_graph

(vertice, edges)

src/tools/prepare_list.py:73

↓ 1 callersFunctioncreate_config_proto

Reset tf default config proto

src/gcn/utils.py:198

↓ 1 callersFunctiondownload

(vid_file)

src/tools/download_image.py:13

↓ 1 callersFunctiondownload_list

(data_dir)

src/tools/prepare_list.py:16

↓ 1 callersFunctiondownsample_image

(img_file, target_size)

src/tools/download_image.py:104

↓ 1 callersFunctionembed_text_file

(text_file, word_vectors, get_vector, save_file)

src/tools/obtain_word_embedding.py:20

↓ 1 callersFunctionextract_feature

(image_list, pool5, image_holder, preprocess, model_path, image_dir, feat_dir)

src/tools/extract_pool5.py:17

↓ 1 callersFunctionfind_neighbor

(srcfile)

src/tools/prepare_list.py:62

↓ 1 callersFunctionget_embedding

(entity_str, word_vectors, get_vector)

src/tools/obtain_word_embedding.py:69

↓ 1 callersFunctionget_glove_dict

(txt_dir)

src/tools/obtain_word_embedding.py:93

↓ 1 callersFunctionget_layer_uid

Helper function, assigns unique layer IDs.

src/gcn/layers.py:11

↓ 1 callersFunctionget_variables_in_checkpoint_file

(file_name)

src/tools/convert_to_gcn_data.py:52

↓ 1 callersFunctionget_variables_in_checkpoint_file

(file_name)

src/tools/extract_pool5.py:62

↓ 1 callersFunctioninception

()

src/tools/extract_pool5.py:204

↓ 1 callersFunctioninception_arg_scope

(is_training=True, batch_norm_decay=0.997, batch_norm_epsilon=

src/tools/extract_pool5.py:175

↓ 1 callersFunctioninit

(model_path, sess)

src/tools/extract_pool5.py:61

↓ 1 callersFunctionload_data_vis_multi

Load data.

src/gcn/utils.py:33

↓ 1 callersFunctionmake_image_list

(list_file, image_dir, name, offset=1000)

src/tools/download_image.py:55

↓ 1 callersFunctionmake_zero_shot_20klist

(name)

src/tools/prepare_list.py:138

↓ 1 callersFunctionparse_arg

()

src/tools/download_image.py:117

↓ 1 callersFunctionparse_arg

()

src/tools/obtain_word_embedding.py:118

↓ 1 callersFunctionparse_arg

()

src/tools/convert_to_gcn_data.py:105

↓ 1 callersFunctionparse_arg

()

src/tools/extract_pool5.py:220

↓ 1 callersFunctionpreprocess_adj

Preprocessing of adjacency matrix for simple GCN model and conversion to tuple representation.

src/gcn/utils.py:158

↓ 1 callersFunctionpreprocess_features_dense2

(features)

src/gcn/utils.py:136

↓ 1 callersFunctionres50

()

src/tools/extract_pool5.py:197

↓ 1 callersFunctionresnet_arg_scope

(is_training=True, batch_norm_decay=0.997, batch_norm_epsilon=1e-5,

src/tools/extract_pool5.py:152

↓ 1 callersFunctionrun_feat

(sess, pool5, image_holder, image)

src/tools/extract_pool5.py:145

↓ 1 callersMethodsave

(self, sess=None)

src/gcn/models.py:71

↓ 1 callersFunctiontest

(image_file, fc, feat_dir)

src/tools/tmp_test.py:9

↓ 1 callersFunctiontest_imagenet_zero

(fc_file_pred, has_train=1)

src/test_imagenet.py:12

↓ 1 callersFunctionuniform

(self, input_dim, output_dim, placeholders, dropout=0., sparse_inputs=False, act=tf.nn.relu,

src/gcn/layers.py:87

Method__init__

(self, input_dim, output_dim, placeholders, dropout=0., sparse_inputs=False, act=tf.nn.relu,

src/gcn/layers.py:134

Method__init__

(self, input_dim, output_dim, placeholders, dropout=0., sparse_inputs=False, act=tf.nn.relu,

src/gcn/layers.py:194

(self, placeholders, input_dim, **kwargs)

src/gcn/models.py:170

Method_accuracy

(self)

src/gcn/models.py:193

Method_build

(self)

src/gcn/models.py:200

Method_call

(self, inputs)

src/gcn/layers.py:113

Method_call

(self, inputs)

src/gcn/layers.py:163

Method_call

(self, inputs)

src/gcn/layers.py:223

Method_loss

(self)

src/gcn/models.py:183

Methodbuild

Wrapper for _build()

src/gcn/models.py:119

Functionchebyshev_polynomials

Calculate Chebyshev polynomials up to order k. Return a list of sparse matrices (tuple representation).

src/gcn/utils.py:175

Functiondown_sample

(list_file, image_dir, size=256)

src/tools/download_image.py:86

Functionfasttext

(word_vectors, word)

src/tools/obtain_word_embedding.py:114

Functionglove_google

(word_vectors, word)

src/tools/obtain_word_embedding.py:110

Methodload

(self, sess=None)

src/gcn/models.py:160

Methodlrelu

(x, leak=0.2, name="lrelu")

src/gcn/models.py:197

Functionmasked_accuracy

Accuracy with masking.

src/gcn/metrics.py:13

Functionmasked_sigmoid_cross_entropy

Sigmoid cross-entropy loss with masking.

src/gcn/metrics.py:22

Functionmasked_softmax_cross_entropy

Softmax cross-entropy loss with masking.

Functionparse_index_file

src/gcn/models.py:144

Methodpredict

(self)

src/gcn/models.py:248

Functionpreprocess_features

Row-normalize feature matrix and convert to tuple representation

src/gcn/utils.py:116

Functionpreprocess_features_dense

Row-normalize feature matrix and convert to tuple representation

src/gcn/utils.py:126

Functionpreprocess_inception

(image_name)

src/tools/extract_pool5.py:118

Functionpreprocess_res50

(image_name)

src/tools/extract_pool5.py:91

Functionrm_empty

(vid_file)

src/tools/download_image.py:72

src/gcn/models.py:153