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  
ExecutorTestBase (executor_test_util)   MarginRankLoss (caffe2.python.layers.margin_rank_loss)   QueueWrapper (caffe2.python.queue_util)   UnrolledCell (caffe2.python.rnn_cell)   
ExternalInitializer (caffe2.python.modeling.initializers)   Markdown (formatter)   
  R  
Unsupported (caffe2.python.onnx.error)   
AdagradOptimizer (caffe2.python.optimizer)   ExternalLogger (caffe2.python.experiment_util)   MaxNorm (caffe2.python.regularizer)   UploadTaskGroupBuilder (caffe2.python.checkpoint)   
AdamOptimizer (caffe2.python.optimizer)   
  F  
MergeIdLists (caffe2.python.layers.merge_id_lists)   RandomFourierFeatures (caffe2.python.layers.random_fourier_features)   UseModifierBase (caffe2.python.modifier_context)   
AddBias (caffe2.python.layers.add_bias)   Metadata (caffe2.python.schema)   Reader (caffe2.python.dataio)   UseOptimizer (caffe2.python.optimizer_context)   
Analyzer (caffe2.python.net_printer)   FC (caffe2.python.layers.fc)   Metrics (caffe2.python.parallel_workers)   ReaderBuilder (caffe2.python.dataio)   UseRegularizer (caffe2.python.regularizer_context)   
ArcCosineFeatureMap (caffe2.python.layers.arc_cosine_feature_map)   FCWithoutBias (caffe2.python.layers.fc_without_bias)   MILSTMCell (caffe2.python.rnn_cell)   ReaderWithLimit (caffe2.python.dataio)   
  V  
AssignmentAlgorithm (caffe2.python.memonger)   FeatureSparseToDense (caffe2.python.layers.feature_sparse_to_dense)   MILSTMWithAttentionCell (caffe2.python.rnn_cell)   ReaderWithLimitBase (caffe2.python.dataio)   
AttentionCell (caffe2.python.rnn_cell)   Field (caffe2.python.schema)   ModelHelper (caffe2.python.model_helper)   ReaderWithTimeLimit (caffe2.python.dataio)   Visitor (caffe2.python.net_printer)   
AttentionType (caffe2.python.attention)   Formatter (formatter)   ModelLayer (caffe2.python.layers.layers)   RecordQueue (caffe2.python.record_queue)   
  W  
  B  
FP16SgdOptimizer (caffe2.python.optimizer)   ModelTrainerLog (caffe2.python.experiment_util)   Regularizer (caffe2.python.regularizer)   
FtrlOptimizer (caffe2.python.optimizer)   ModifierContext (caffe2.python.modifier_context)   RegularizerContext (caffe2.python.regularizer_context)   WatcherThread (caffe2.python.timeout_guard)   
BaseException (caffe2.python.onnx.error)   Functional (caffe2.python.layers.functional)   MultiNodeCheckpointManager (caffe2.python.checkpoint)   RemapEntry (caffe2.python.core)   WeightDecayBuilder (caffe2.python.optimizer)   
BasicRNNCell (caffe2.python.rnn_cell)   
  G  
MultiPrecisionSgdOptimizer (caffe2.python.optimizer)   ReservoirSampling (caffe2.python.layers.reservoir_sampling)   Worker (caffe2.python.parallel_workers)   
BatchDistillLRLoss (caffe2.python.layers.batch_distill_lr_loss)   MultiRNNCell (caffe2.python.rnn_cell)   ResNetBuilder (caffe2.python.models.resnet)   WorkerCoordinator (caffe2.python.parallel_workers)   
BatchFeeder (caffe2.python.data_workers)   GatherRecord (caffe2.python.layers.gather_record)   MultiRNNCellInitializer (caffe2.python.rnn_cell)   ReversepFP16Initializer (caffe2.python.modeling.initializers)   Workspace (caffe2.python.onnx.workspace)   
BatchLRLoss (caffe2.python.layers.batch_lr_loss)   GHMarkdown (github)   
  N  
RmsPropOptimizer (caffe2.python.optimizer)   WorkspaceType (caffe2.python.task)   
BatchMSELoss (caffe2.python.layers.batch_mse_loss)   GHOpDocGenerator (github)   RNNCell (caffe2.python.rnn_cell)   Writer (caffe2.python.dataio)   
BatchNormalization (caffe2.python.layers.batch_normalization)   GHOpDocUploader (github)   NCHW (caffe2.python.visualize)   
  S  
  Y  
BatchSigmoidCrossEntropyLoss (caffe2.python.layers.batch_sigmoid_cross_entropy_loss)   GHOperatorDoc (github)   Net (caffe2.python.core)   
BatchSoftmaxLoss (caffe2.python.layers.batch_softmax_loss)   GHOperatorEngine (github)   NetBuilder (caffe2.python.net_builder)   SamplingTrain (caffe2.python.layers.sampling_train)   YellowFinOptimizer (caffe2.python.optimizer)   
BeamSearchForwardOnly (caffe2.python.models.seq2seq.beam_search)   GlobalCoordinator (caffe2.python.data_workers)   NetDefNode (SparseTransformer)   SamplingTrainableMixin (caffe2.python.layers.sampling_trainable_mixin)   
  _  
Benchmark (device_reduce_sum_bench)   GlobalWorkerCoordinator (caffe2.python.parallel_workers)   NetGradientChecker (caffe2.python.gradient_checker)   Scalar (caffe2.python.schema)   
BenchmarkMeta (device_reduce_sum_bench)   GradientChecker (caffe2.python.gradient_checker)   NetProcessor (caffe2.python.pipeline)   SelectRecordByContext (caffe2.python.layers.select_record_by_context)   _BlobDict (caffe2.python.workspace)   
BlobReference (caffe2.python.core)   GradientRegistry (caffe2.python.core)   NHWC (caffe2.python.visualize)   SemiRandomFeatures (caffe2.python.layers.semi_random_features)   _DatasetRandomReader (caffe2.python.dataset)   
  C  
GRUCell (caffe2.python.gru_cell)   Node (caffe2.python.task)   Seq2SeqModelCaffe2 (caffe2.python.models.seq2seq.train)   _DatasetReader (caffe2.python.dataset)   
  H  
  O  
Seq2SeqModelCaffe2EnsembleDecoder (caffe2.python.models.seq2seq.translate)   _DatasetWriter (caffe2.python.dataset)   
CachedReader (caffe2.python.cached_reader)   Seq2SeqModelHelper (caffe2.python.models.seq2seq.seq2seq_model_helper)   _DummyNameFactory (caffe2.python.onnx.helper)   
Caffe2Backend (caffe2.python.onnx.backend)   HelperWrapper (caffe2.python.brew)   OnnxAttributes (caffe2.python.onnx.backend)   Session (caffe2.python.session)   _Functional (caffe2.python.functional)   
Caffe2Command (setup)   HypothesisTestCase (caffe2.python.hypothesis_test_util)   OnnxNode (caffe2.python.onnx.backend)   SetupNets (caffe2.python.task)   _Loop (caffe2.python.net_builder)   
Caffe2Frontend (caffe2.python.onnx.frontend)   
  I  
OpDocGenerator (generator)   SgdOptimizer (caffe2.python.optimizer)   _QueueReader (caffe2.python.queue_util)   
Caffe2Rep (caffe2.python.onnx.backend_rep)   Operations (caffe2.python.net_builder)   SoftMaxWithLoss (device_reduce_sum_bench)   _QueueReader (caffe2.python.record_queue)   
CharRNN (char_rnn)   Initializer (caffe2.python.modeling.initializers)   OperatorDoc (generator)   SparseFeatureHash (caffe2.python.layers.sparse_feature_hash)   _QueueWriter (caffe2.python.queue_util)   
CheckpointManager (caffe2.python.checkpoint)   InstantiationContext (caffe2.python.layers.layers)   OperatorEngine (generator)   SparseLookup (caffe2.python.layers.sparse_lookup)   _QueueWriter (caffe2.python.record_queue)   
Cluster (caffe2.python.task)   IR (caffe2.python.core)   OpSpec (caffe2.python.layer_test_util)   Split (caffe2.python.layers.split)   _ReporterBuilder (caffe2.python.net_builder)   
CNNModelHelper (caffe2.python.cnn)   
  J  
Optimizer (caffe2.python.optimizer)   State (caffe2.python.parallel_workers)   _RunElseNet (caffe2.python.net_builder)   
CollectivesConcurrencyControl (caffe2.python.data_parallel_model)   OptimizerContext (caffe2.python.optimizer_context)   StoreOpsTests (store_ops_test_util)   _RunIf (caffe2.python.net_builder)   
CompiledRunnable (caffe2.python.session)   Job (caffe2.python.checkpoint)   OptimizerTestBase (caffe2.python.optimizer_test_util)   Struct (caffe2.python.schema)   _RunIfNet (caffe2.python.net_builder)   
Concat (caffe2.python.layers.concat)   JobRunner (caffe2.python.checkpoint)   Output (caffe2.python.pipeline)   SumElements (device_reduce_sum_bench)   _RunOnce (caffe2.python.net_builder)   
ConstantNorm (caffe2.python.regularizer)   
  L  
  P  
SumSqrElements (device_reduce_sum_bench)   _RunWhileCondition (caffe2.python.net_builder)   
ContextInfo (caffe2.python.context)   
  T  
_RunWhileNet (caffe2.python.net_builder)   
ContextManager (caffe2.python.context)   L1Norm (caffe2.python.regularizer)   PairwiseDotProduct (caffe2.python.layers.pairwise_dot_product)   _SchemaNode (caffe2.python.schema)   
Conv (caffe2.python.layers.conv)   L2Norm (caffe2.python.regularizer)   ParameterInfo (caffe2.python.modeling.parameter_info)   TagContext (caffe2.python.layers.tags)   _SetupBuilder (caffe2.python.net_builder)   
CounterReader (caffe2.python.dataio)   LastNWindowCollector (caffe2.python.layers.last_n_window_collector)   ParameterSharingContext (caffe2.python.modeling.parameter_sharing)   Tags (caffe2.python.layers.tags)   _StopGuard (caffe2.python.net_builder)   
CRFWithLoss (caffe2.python.crf)   LayerModelHelper (caffe2.python.layer_model_helper)   ParameterTags (caffe2.python.modeling.parameter_info)   Task (caffe2.python.task)   
  b  
  D  
LayerNormLSTMCell (caffe2.python.rnn_cell)   ParameterType (caffe2.python.modeling.parameter_info)   TaskGroup (caffe2.python.task)   
LayerNormMILSTMCell (caffe2.python.rnn_cell)   Parser (parser)   TaskOutput (caffe2.python.task)   build_ext (setup)   
Dataset (caffe2.python.dataset)   LayerParameter (caffe2.python.layers.layers)   PatchVisualizer (caffe2.python.visualize)   TaskOutputList (caffe2.python.task)   build_py (setup)   
DataType (caffe2.python.core)   LayersTestCase (caffe2.python.layer_test_util)   Pipe (caffe2.python.dataio)   TestCase (caffe2.python.test_util)   
  c  
DataWorker (caffe2.python.data_workers)   List (caffe2.python.schema)   PipedReaderBuilder (caffe2.python.dataio)   TestCase (test_utils)   
DebugMode (caffe2.python.utils)   LocalSession (caffe2.python.session)   Plan (caffe2.python.core)   Text (caffe2.python.net_printer)   cmake_build (setup)   
DeviceChecker (caffe2.python.device_checker)   LRModificationTestBase (caffe2.python.optimizer_test_util)   PositionWeighted (caffe2.python.layers.position_weighted)   TextFileReader (caffe2.python.text_file_reader)   create_version (setup)   
DocGenerator (generator)   LSTMCell (caffe2.python.rnn_cell)   PredictorExportMeta (caffe2.python.predictor.predictor_exporter)   TranslatorRegistry (caffe2.python.caffe_translator)   
  d  
DocUploader (generator)   LSTMInitializer (caffe2.python.rnn_cell)   Printer (caffe2.python.net_printer)   Trie (caffe2.python.binarysize)   
Dropout (caffe2.python.layers.dropout)   LSTMWithAttentionCell (caffe2.python.rnn_cell)   ProcessingReader (caffe2.python.pipeline)   
  U  
define_context (caffe2.python.context)   
DropoutCell (caffe2.python.rnn_cell)   LSTMWithAttentionDecoder (caffe2.python.models.seq2seq.seq2seq_util)   
  Q  
develop (setup)   
  E  
  M  
UniformSampling (caffe2.python.layers.uniform_sampling)   
  p  
Queue (caffe2.python.queue_util)   
ExecutionStep (caffe2.python.core)   MapToRange (caffe2.python.layers.build_index)   pFP16Initializer (caffe2.python.modeling.initializers)   
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