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Functions575 in github.com/Qihoo360/tensornet

⨍ Functions 575◇ Types & classes 121↳ Endpoints 8
↓ 105 callersMethodsize
core/kernels/data/balance_dataset_ops.h:83
↓ 34 callersMethodwrite
core/utility/file_io.cc:80
↓ 28 callersMethodread
core/utility/file_io.cc:138
↓ 17 callersMethodGet
core/ps/table/bn_table.cc:221
↓ 17 callersMethodRank
core/ps/ps_cluster.cc:71
↓ 17 callersMethodget
(self, carrier, key)
tensornet/_opentelemetry.py:53
↓ 13 callersMethodRankNum
core/ps/ps_cluster.cc:69
↓ 12 callersMethodGetServer
core/ps/ps_cluster.cc:95
↓ 11 callersFunctionescape_cmake_str
(s)
cmake/find-tensorflow.py:26
↓ 8 callersMethodget
core/kernels/data/balance_dataset_ops.h:66
↓ 8 callersFunctionget_hdfs_head
(path)
tensornet_tools/python/utils.py:51
↓ 7 callersMethodRun
core/ps/ps_remote_server.cc:48
↓ 7 callersMethodempty
core/kernels/data/balance_dataset_ops.h:56
↓ 6 callersMethodGetWeight
core/ps/optimizer/optimizer_kernel.h:299
↓ 6 callersMethodName
core/ps/optimizer/optimizer.h:77
↓ 6 callersMethodNotify
core/utility/semaphore.h:38
↓ 6 callersMethodbn_statistics_push
(self, synchronized)
tensornet/layers/normalization_layer.py:164
↓ 5 callersMethodAppend
core/ps/table/bn_table.cc:65
↓ 5 callersMethodWaitForSemaphore
core/utility/semaphore.h:47
↓ 5 callersMethodallocate
core/utility/allocator.h:74
↓ 5 callersFunctionembedding_columns_builder
(features, tn_category_columns, embedding_size=8)
examples/common/feature_column.py:28
↓ 5 callersFunctionescape_cmake_str
(s)
cmake/find-protobuf.py:24
↓ 5 callersMethodupdate_state
(self, y_true, y_pred, sample_weight=None)
tensornet/metric/metrics.py:43
↓ 4 callersMethodGetHandle
core/ps/table/bn_table.h:65
↓ 4 callersMethodInit
core/ps/ps_cluster.cc:33
↓ 4 callersMethodIsInitialized
core/ps/ps_cluster.h:41
↓ 4 callersMethodShouldUseCvm
core/ps/optimizer/optimizer.h:53
↓ 4 callersFunctiongenerate_data
(dt, name)
examples/gen_example_data.py:46
↓ 4 callersMethodload_sparse_table
(self, filepath, mode)
tensornet/layers/embedding_features.py:173
↓ 3 callersMethodApply
core/ps/optimizer/optimizer_kernel.h:132
↓ 3 callersMethodDeSerialize
core/ps/optimizer/data_struct.cc:34
↓ 3 callersMethodLoad
core/ps/table/bn_table.cc:171
↓ 3 callersMethodOffsetBegin
core/ps/optimizer/optimizer_kernel.h:55
↓ 3 callersMethodSave
core/ps/table/bn_table.cc:195
↓ 3 callersMethodStart
core/kernels/sparse_table_ops.cc:58
↓ 3 callersMethodVarDim
core/kernels/sparse_table_ops.cc:139
↓ 3 callersFunctioncreate_emb_model
(features, columns_group, suffix="_input")
examples/common/feature_column.py:37
↓ 3 callersFunctionget_sign_partition_key
(sign, mod)
tensornet_tools/python/utils.py:90
↓ 3 callersMethodload_model
(self)
tensornet/callbacks/callbacks.py:53
↓ 3 callersFunctionload_sparse_table_to_df
load sparse table file to DF. output format should be ['sign', 'dim', 'weights', 'g2sum', 'show', 'no_show_days', 'handle']
tensornet_tools/python/utils.py:319
↓ 3 callersMethodreset_balance_dataset
(self)
tensornet/callbacks/callbacks.py:59
↓ 3 callersMethodsave_sparse_table
(self, filepath, mode)
tensornet/layers/embedding_features.py:170
↓ 3 callersFunctiontn_category_columns_builder
Builds tensornet category feature columns.
examples/common/feature_column.py:20
↓ 2 callersMethodApply
core/ps/optimizer/adam_kernel.cc:46
↓ 2 callersMethodBlockSize
core/ps/optimizer/optimizer_kernel.h:123
↓ 2 callersMethodBnStatisticsPullAsync
core/ps/ps_local_server.cc:100
↓ 2 callersMethodBnStatisticsPushAsync
core/ps/ps_local_server.cc:88
↓ 2 callersMethodCreateSparseOptKernel
core/ps/optimizer/optimizer.cc:36
↓ 2 callersFunctionCreateSparseTable
core/ps/table/sparse_table.cc:169
↓ 2 callersMethodDataSize
core/ps/optimizer/ftrl_kernel.h:37
↓ 2 callersMethodDatasetPullAsync
core/ps/ps_local_server.cc:79
↓ 2 callersMethodDeSerialized
core/ps/optimizer/optimizer_kernel.h:230
↓ 2 callersMethodDebugString
core/kernels/data/balance_dataset_ops.cc:177
↓ 2 callersMethodDeleteByShow
core/ps/optimizer/ftrl_kernel.cc:126
↓ 2 callersMethodDensePushPullAsync
core/ps/ps_local_server.cc:56
↓ 2 callersMethodGetIncStatistics
core/ps/table/bn_table.cc:132
↓ 2 callersMethodGetMoments
core/ps/table/bn_table.cc:112
↓ 2 callersMethodGetOptKernels
core/ps/table/dense_table.cc:95
↓ 2 callersMethodGradDim
core/kernels/sparse_table_ops.cc:299
↓ 2 callersFunctionInitWeight
examples/online_serving/main.cc:32
↓ 2 callersMethodKeyCount
core/ps/optimizer/optimizer_kernel.h:540
↓ 2 callersMethodLength
core/ps/optimizer/optimizer_kernel.h:59
↓ 2 callersMethodPull
core/ps/table/sparse_table.cc:52
↓ 2 callersMethodSerialize
core/ps/optimizer/data_struct.cc:23
↓ 2 callersMethodSerialized
core/ps/optimizer/optimizer_kernel.h:223
↓ 2 callersMethodSetOldCompat
core/ps/optimizer/data_struct.h:44
↓ 2 callersMethodSparsePullAsync
core/ps/ps_local_server.cc:30
↓ 2 callersMethodSparsePushAsync
core/ps/ps_local_server.cc:43
↓ 2 callersMethodStart
core/kernels/bn_table_ops.cc:63
↓ 2 callersMethod__init__
Creates a `CTR` instance. Args: name: (Optional) string name of the metric instance. dtype: (Optional) data type of the m
tensornet/metric/metrics.py:34
↓ 2 callersMethod_target_shape
(self, input_shape, total_elements)
tensornet/layers/embedding_features.py:345
↓ 2 callersMethod_target_shape
(self, input_shape, total_elements)
tensornet/layers/sequence_embedding_features.py:177
↓ 2 callersMethodbackwards
(self, grads_and_vars)
tensornet/model/Model.py:126
↓ 2 callersFunctionemb_lookup
examples/online_serving/main.cc:68
↓ 2 callersMethodget_feature_mapping_values
(self, column_name)
tensornet/layers/embedding_features.py:167
↓ 2 callersFunctionget_sign_block_num
(sign)
tensornet_tools/python/utils.py:100
↓ 2 callersFunctionget_sign_rank_num
(sign, mod)
tensornet_tools/python/utils.py:96
↓ 2 callersFunctioninit_sparse_file
(dim, file_format)
tensornet_tools/python/utils.py:257
↓ 2 callersMethodload_weights
(self, filepath, by_name=False, skip_mismatch=False, include_dt=False, root=True, mode="txt")
tensornet/model/Model.py:176
↓ 2 callersFunctionmain
()
examples/main.py:55
↓ 2 callersMethodname
(self)
tensornet/feature_column/category_column.py:34
↓ 2 callersFunctionprocess_txt_line
Fetch sign and weights from sparse Data should be separated by '\t', sign\tdim_num\tdim_num*weight
tensornet_tools/python/utils.py:105
↓ 2 callersMethodpull
(self, features)
tensornet/layers/embedding_features.py:105
↓ 2 callersMethodpush
(self, grads_and_vars, features)
tensornet/layers/embedding_features.py:135
↓ 2 callersMethodput
core/kernels/data/balance_dataset_ops.h:51
↓ 2 callersFunctionread_dataset
(data_path, days, match_pattern, batch_size, parse_func, num_parallel_calls=12)
examples/common/util.py:23
↓ 2 callersFunctionread_last_train_dt
(filepath)
tensornet/model/Model.py:52
↓ 2 callersFunctionresize_partition
(iterator, bc_output_path, bc_format, bc_number, bc_handle_names)
tensornet_tools/python/utils.py:189
↓ 2 callersMethodresult
(self)
tensornet/metric/metrics.py:103
↓ 2 callersMethodupdate_moments
(self)
tensornet/layers/normalization_layer.py:159
↓ 1 callersMethodAddRequestData
core/kernels/bn_table_ops.cc:58
↓ 1 callersMethodAddRequestData
core/kernels/dense_table_ops.cc:52
↓ 1 callersMethodAddRequestGrad
core/kernels/sparse_table_ops.cc:88
↓ 1 callersMethodAddRequestSign
core/kernels/sparse_table_ops.cc:52
↓ 1 callersMethodBarrier
core/ps/ps_cluster.cc:104
↓ 1 callersMethodCopyDataToBuffer
core/kernels/data/balance_dataset_ops.cc:139
↓ 1 callersFunctionCreateBnTable
core/ps/table/bn_table.cc:234
↓ 1 callersMethodCreateDenseOptKernel
core/ps/optimizer/optimizer.cc:32
↓ 1 callersFunctionCreateDenseTable
core/ps/table/dense_table.cc:180
↓ 1 callersFunctionDCN
(features, dnn_hidden_units=(128, 128))
examples/models/deep_cross.py:44
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