| 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) |
| 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) |
| ||
Analyzer (caffe2.python.net_printer) | ExecutorTestBase (executor_test_util) |
| PseudoFP16Initializer (caffe2.python.modeling.initializers) | |||
ArcCosineFeatureMap (caffe2.python.layers.arc_cosine_feature_map) | ExternalInitializer (caffe2.python.modeling.initializers) |
| 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) |
| 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) | |||
| FC (caffe2.python.layers.fc) | MaxNorm (caffe2.python.regularizer) |
| 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) |
| ||
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) |
| ||
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) |
| 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) |
| ReversePseudoFP16Initializer (caffe2.python.modeling.initializers) | Writer (caffe2.python.dataio) | ||
| GHOperatorEngine (github) | RmsPropOptimizer (caffe2.python.optimizer) |
| |||
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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| 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) |
| SumSqrElements (device_reduce_sum_bench) | _SetupBuilder (caffe2.python.net_builder) | ||
CRFWithLoss (caffe2.python.crf) | L2Norm (caffe2.python.regularizer) |
| _StopGuard (caffe2.python.net_builder) | |||
| LabelSmooth (caffe2.python.layers.label_smooth) | PairwiseDotProduct (caffe2.python.layers.pairwise_dot_product) |
| |||
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) |
| ||
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) | ||