Caffe2 - Python API
A deep learning, cross platform ML framework
Class Index
A | B | C | D | E | F | G | H | I | J | L | M | N | O | P | Q | R | S | T | U | V | W | Y | _
  A  
DocUploader (generator)   LocalSession (caffe2.python.session)   PipedReaderBuilder (caffe2.python.dataio)   TestCase (caffe2.python.onnx.tests.test_utils)   
Dropout (caffe2.python.layers.dropout)   LRModificationTestBase (caffe2.python.optimizer_test_util)   Plan (caffe2.python.core)   Text (caffe2.python.net_printer)   
AdagradOptimizer (caffe2.python.optimizer)   DropoutCell (caffe2.python.rnn_cell)   LSTMCell (caffe2.python.rnn_cell)   PositionWeighted (caffe2.python.layers.position_weighted)   TextFileReader (caffe2.python.text_file_reader)   
AdamOptimizer (caffe2.python.optimizer)   
  E  
LSTMInitializer (caffe2.python.rnn_cell)   PredictorExportMeta (caffe2.python.predictor.predictor_exporter)   TranslatorRegistry (caffe2.python.caffe_translator)   
AdaptiveWeight (caffe2.python.layers.adaptive_weight)   LSTMWithAttentionCell (caffe2.python.rnn_cell)   Printer (caffe2.python.net_printer)   Trie (caffe2.python.binarysize)   
AddBias (caffe2.python.layers.add_bias)   ExecutionStep (caffe2.python.core)   LSTMWithAttentionDecoder (caffe2.python.models.seq2seq.seq2seq_util)   ProcessingReader (caffe2.python.pipeline)   
  U  
Analyzer (caffe2.python.net_printer)   ExecutorTestBase (executor_test_util)   
  M  
PseudoFP16Initializer (caffe2.python.modeling.initializers)   
ArcCosineFeatureMap (caffe2.python.layers.arc_cosine_feature_map)   ExternalInitializer (caffe2.python.modeling.initializers)   
  Q  
UniformSampling (caffe2.python.layers.uniform_sampling)   
AssignmentAlgorithm (caffe2.python.memonger)   ExternalLogger (caffe2.python.experiment_util)   MapToRange (caffe2.python.layers.build_index)   UnrolledCell (caffe2.python.rnn_cell)   
AttentionCell (caffe2.python.rnn_cell)   
  F  
MarginRankLoss (caffe2.python.layers.margin_rank_loss)   Queue (caffe2.python.queue_util)   Unsupported (caffe2.python.onnx.error)   
AttentionType (caffe2.python.attention)   Markdown (formatter)   QueueWrapper (caffe2.python.queue_util)   UploadTaskGroupBuilder (caffe2.python.checkpoint)   
  B  
FC (caffe2.python.layers.fc)   MaxNorm (caffe2.python.regularizer)   
  R  
UseModifierBase (caffe2.python.modifier_context)   
FCWithoutBias (caffe2.python.layers.fc_without_bias)   MergeIdLists (caffe2.python.layers.merge_id_lists)   UseOptimizer (caffe2.python.optimizer_context)   
BaseException (caffe2.python.onnx.error)   FeatureSparseToDense (caffe2.python.layers.feature_sparse_to_dense)   Metadata (caffe2.python.schema)   RandomFourierFeatures (caffe2.python.layers.random_fourier_features)   UseRegularizer (caffe2.python.regularizer_context)   
BasicRNNCell (caffe2.python.rnn_cell)   Field (caffe2.python.schema)   Metrics (caffe2.python.parallel_workers)   Reader (caffe2.python.dataio)   
  V  
BatchDistillLRLoss (caffe2.python.layers.batch_distill_lr_loss)   Formatter (formatter)   MILSTMCell (caffe2.python.rnn_cell)   ReaderBuilder (caffe2.python.dataio)   
BatchFeeder (caffe2.python.data_workers)   FP16SgdOptimizer (caffe2.python.optimizer)   MILSTMWithAttentionCell (caffe2.python.rnn_cell)   ReaderWithLimit (caffe2.python.dataio)   Visitor (caffe2.python.net_printer)   
BatchLRLoss (caffe2.python.layers.batch_lr_loss)   FtrlOptimizer (caffe2.python.optimizer)   ModelHelper (caffe2.python.model_helper)   ReaderWithLimitBase (caffe2.python.dataio)   
  W  
BatchMSELoss (caffe2.python.layers.batch_mse_loss)   Functional (caffe2.python.layers.functional)   ModelLayer (caffe2.python.layers.layers)   ReaderWithTimeLimit (caffe2.python.dataio)   
BatchNormalization (caffe2.python.layers.batch_normalization)   
  G  
ModelTrainerLog (caffe2.python.experiment_util)   RecordQueue (caffe2.python.record_queue)   WatcherThread (caffe2.python.timeout_guard)   
BatchSigmoidCrossEntropyLoss (caffe2.python.layers.batch_sigmoid_cross_entropy_loss)   ModifierContext (caffe2.python.modifier_context)   Regularizer (caffe2.python.regularizer)   WeightDecayBuilder (caffe2.python.optimizer)   
BatchSoftmaxLoss (caffe2.python.layers.batch_softmax_loss)   GatherRecord (caffe2.python.layers.gather_record)   MultiNodeCheckpointManager (caffe2.python.checkpoint)   RegularizerContext (caffe2.python.regularizer_context)   Worker (caffe2.python.parallel_workers)   
BeamSearchForwardOnly (caffe2.python.models.seq2seq.beam_search)   GHMarkdown (github)   MultiPrecisionSgdOptimizer (caffe2.python.optimizer)   RemapEntry (caffe2.python.core)   WorkerCoordinator (caffe2.python.parallel_workers)   
Benchmark (device_reduce_sum_bench)   GHOpDocGenerator (github)   MultiRNNCell (caffe2.python.rnn_cell)   ReservoirSampling (caffe2.python.layers.reservoir_sampling)   Workspace (caffe2.python.onnx.workspace)   
BenchmarkMeta (device_reduce_sum_bench)   GHOpDocUploader (github)   MultiRNNCellInitializer (caffe2.python.rnn_cell)   ResNetBuilder (caffe2.python.models.resnet)   WorkspaceType (caffe2.python.task)   
BlobReference (caffe2.python.core)   GHOperatorDoc (github)   
  N  
ReversePseudoFP16Initializer (caffe2.python.modeling.initializers)   Writer (caffe2.python.dataio)   
  C  
GHOperatorEngine (github)   RmsPropOptimizer (caffe2.python.optimizer)   
  Y  
GlobalCoordinator (caffe2.python.data_workers)   NCHW (caffe2.python.visualize)   RNNCell (caffe2.python.rnn_cell)   
CachedReader (caffe2.python.cached_reader)   GlobalWorkerCoordinator (caffe2.python.parallel_workers)   Net (caffe2.python.core)   
  S  
YellowFinOptimizer (caffe2.python.optimizer)   
Caffe2Backend (caffe2.python.onnx.backend)   GradientChecker (caffe2.python.gradient_checker)   NetBuilder (caffe2.python.net_builder)   
  _  
Caffe2Command (setup_caffe2)   GradientClipping (caffe2.python.modeling.gradient_clipping)   NetDefNode (SparseTransformer)   SamplingTrain (caffe2.python.layers.sampling_train)   
Caffe2CppRep (caffe2.python.onnx.backend_cpp_rep)   GradientRegistry (caffe2.python.core)   NetGradientChecker (caffe2.python.gradient_checker)   SamplingTrainableMixin (caffe2.python.layers.sampling_trainable_mixin)   _BlobDict (caffe2.python.workspace)   
Caffe2Frontend (caffe2.python.onnx.frontend)   GRUCell (caffe2.python.gru_cell)   NetModifier (caffe2.python.modeling.net_modifier)   Scalar (caffe2.python.schema)   _DatasetRandomReader (caffe2.python.dataset)   
Caffe2Rep (caffe2.python.onnx.backend_rep)   
  H  
NetProcessor (caffe2.python.pipeline)   SelectRecordByContext (caffe2.python.layers.select_record_by_context)   _DatasetReader (caffe2.python.dataset)   
CharRNN (char_rnn)   NHWC (caffe2.python.visualize)   SemiRandomFeatures (caffe2.python.layers.semi_random_features)   _DatasetWriter (caffe2.python.dataset)   
CheckpointManager (caffe2.python.checkpoint)   HelperWrapper (caffe2.python.brew)   Node (caffe2.python.task)   Seq2SeqModelCaffe2 (caffe2.python.models.seq2seq.train)   _Functional (caffe2.python.functional)   
Cluster (caffe2.python.task)   HomotopyWeight (caffe2.python.layers.homotopy_weight)   
  O  
Seq2SeqModelCaffe2EnsembleDecoder (caffe2.python.models.seq2seq.translate)   _Loop (caffe2.python.net_builder)   
CNNModelHelper (caffe2.python.cnn)   HypothesisTestCase (caffe2.python.hypothesis_test_util)   Seq2SeqModelHelper (caffe2.python.models.seq2seq.seq2seq_model_helper)   _QueueReader (caffe2.python.queue_util)   
CollectivesConcurrencyControl (caffe2.python.data_parallel_model)   
  I  
OnnxAttributes (caffe2.python.onnx.backend)   Session (caffe2.python.session)   _QueueReader (caffe2.python.record_queue)   
CompiledRunnable (caffe2.python.session)   OnnxNode (caffe2.python.onnx.backend)   SetupNets (caffe2.python.task)   _QueueWriter (caffe2.python.queue_util)   
ComputeHistogramForBlobs (caffe2.python.modeling.compute_histogram_for_blobs)   Initializer (caffe2.python.modeling.initializers)   OpDocGenerator (generator)   SgdOptimizer (caffe2.python.optimizer)   _QueueWriter (caffe2.python.record_queue)   
ComputeNormForBlobs (caffe2.python.modeling.compute_norm_for_blobs)   InstantiationContext (caffe2.python.layers.layers)   Operations (caffe2.python.net_builder)   SoftMaxWithLoss (device_reduce_sum_bench)   _ReporterBuilder (caffe2.python.net_builder)   
ComputeStatisticsForBlobs (caffe2.python.modeling.compute_statistics_for_blobs)   IR (caffe2.python.core)   OperatorDoc (generator)   SparseFeatureHash (caffe2.python.layers.sparse_feature_hash)   _RunElseNet (caffe2.python.net_builder)   
Concat (caffe2.python.layers.concat)   
  J  
OperatorEngine (generator)   SparseLookup (caffe2.python.layers.sparse_lookup)   _RunIf (caffe2.python.net_builder)   
ConstantNorm (caffe2.python.regularizer)   OpSpec (caffe2.python.layer_test_util)   Split (caffe2.python.layers.split)   _RunIfNet (caffe2.python.net_builder)   
ConstantWeight (caffe2.python.layers.constant_weight)   Job (caffe2.python.checkpoint)   Optimizer (caffe2.python.optimizer)   State (caffe2.python.parallel_workers)   _RunOnce (caffe2.python.net_builder)   
ContextInfo (caffe2.python.context)   JobRunner (caffe2.python.checkpoint)   OptimizerContext (caffe2.python.optimizer_context)   StoreOpsTests (store_ops_test_util)   _RunWhileCondition (caffe2.python.net_builder)   
ContextManager (caffe2.python.context)   
  L  
OptimizerTestBase (caffe2.python.optimizer_test_util)   Struct (caffe2.python.schema)   _RunWhileNet (caffe2.python.net_builder)   
Conv (caffe2.python.layers.conv)   Output (caffe2.python.pipeline)   SumElements (device_reduce_sum_bench)   _SchemaNode (caffe2.python.schema)   
CounterReader (caffe2.python.dataio)   L1Norm (caffe2.python.regularizer)   
  P  
SumSqrElements (device_reduce_sum_bench)   _SetupBuilder (caffe2.python.net_builder)   
CRFWithLoss (caffe2.python.crf)   L2Norm (caffe2.python.regularizer)   
  T  
_StopGuard (caffe2.python.net_builder)   
  D  
LabelSmooth (caffe2.python.layers.label_smooth)   PairwiseDotProduct (caffe2.python.layers.pairwise_dot_product)   
  b  
LastNWindowCollector (caffe2.python.layers.last_n_window_collector)   ParameterInfo (caffe2.python.modeling.parameter_info)   TagContext (caffe2.python.layers.tags)   
Dataset (caffe2.python.dataset)   LayerModelHelper (caffe2.python.layer_model_helper)   ParameterSharingContext (caffe2.python.modeling.parameter_sharing)   Tags (caffe2.python.layers.tags)   build_ext (setup_caffe2)   
DataType (caffe2.python.core)   LayerNormLSTMCell (caffe2.python.rnn_cell)   ParameterTags (caffe2.python.modeling.parameter_info)   Task (caffe2.python.task)   build_py (setup_caffe2)   
DataWorker (caffe2.python.data_workers)   LayerNormMILSTMCell (caffe2.python.rnn_cell)   ParameterType (caffe2.python.modeling.parameter_info)   TaskGroup (caffe2.python.task)   
  c  
DebugMode (caffe2.python.utils)   LayerParameter (caffe2.python.layers.layers)   Parser (parser)   TaskOutput (caffe2.python.task)   
DeviceChecker (caffe2.python.device_checker)   LayersTestCase (caffe2.python.layer_test_util)   PatchVisualizer (caffe2.python.visualize)   TaskOutputList (caffe2.python.task)   cmake_build (setup_caffe2)   
DocGenerator (generator)   List (caffe2.python.schema)   Pipe (caffe2.python.dataio)   TestCase (caffe2.python.test_util)   create_version (setup_caffe2)   
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