Caffe2 - Python API
A deep learning, cross platform ML framework
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Here is a list of all documented namespace members with links to the namespaces they belong to:
- a -
AddAccuracy() :
cifar10_training
AddArgument() :
caffe_translator
AddBookkeepingOperators() :
cifar10_training
AddImageInput() :
resnet50_trainer
AddInput() :
cifar10_training
,
convnet_benchmarks
AddMomentumParameterUpdate() :
net_construct_bench
,
resnet50_trainer
AddParameterUpdate() :
convnet_benchmarks
AddTrainingOperators() :
cifar10_training
Allreduce() :
muji
Allreduce2() :
muji
Allreduce4() :
muji
Allreduce8() :
muji
AllreduceFallback() :
muji
analyze() :
net_printer
AveragePool() :
pooling
- b -
BaseTranslate() :
caffe_translator
BoolNet() :
control
- c -
ChannelFirst() :
visualize
ChannelLast() :
visualize
clone_and_bind_net() :
core
collect_blob_sizes() :
memonger
CombineConditions() :
control
compute_assignments() :
memonger
compute_assignments_dp() :
memonger
Concat() :
array_helpers
Const() :
dataset
ConstRecord() :
schema
Conv() :
conv
ConvertProtoToBinary() :
utils
ConvertTensorProtosToInitNet() :
caffe_translator
ConvNd() :
conv
ConvTranspose() :
conv
create_predict_init_net() :
predictor_py_utils
create_predict_net() :
predictor_py_utils
create_resnet_32x32() :
resnet
CreateOperator() :
core
CreatePythonOperator() :
core
cudnn_LSTM() :
rnn_cell
- d -
debug() :
utils
debug_net() :
net_printer
DepthConcat() :
array_helpers
Do() :
control
DoParallel() :
control
DoUntil() :
control
DoWhile() :
control
Dropout() :
dropout
- e -
epoch_limiter() :
checkpoint
EuthanizeIfNecessary() :
timeout_guard
execution_step() :
core
ExtractPredictorNet() :
data_parallel_model
,
model_helper
- f -
FC_Decomp() :
fc
FC_Prune() :
fc
FC_Sparse() :
fc
FeedBlob() :
workspace
FeedRecord() :
schema
FetchBlob() :
workspace
FetchBlobs() :
workspace
FetchRecord() :
schema
final_output() :
task
For() :
control
from_blob_list() :
schema
from_column_list() :
schema
from_dtype() :
schema
- g -
generate_data() :
lstm_benchmark
get_meta_net_def() :
predictor_exporter
get_op_ids_in_path() :
core
get_output_producers() :
core
get_ssa() :
core
get_undefined_blobs() :
core
get_updated_ranges() :
memonger
GetConditionBlobFromNet() :
control
GetContentFromProto() :
utils
GetGraphPngSafe() :
net_drawer
GetIndexFromGradientList() :
core
GetNameScope() :
workspace
GetPydotGraphMinimal() :
net_drawer
GroupConv() :
conv
GroupConv_Deprecated() :
conv
- i -
If() :
control
IfNot() :
control
import_recursive() :
layers
InferShapesAndTypes() :
workspace
init_tt_cores() :
tt_core
InitFromLSTMParams() :
rnn_cell
InitOpsLibrary() :
dyndep
- l -
LRN() :
normalization
LSTM() :
rnn_cell
LSTMWithAttention() :
rnn_cell
- m -
MakeArgument() :
utils
Map() :
schema
maskNallocate() :
SparseTransformer
matrix_to_tt() :
tt_core
MaxPool() :
pooling
MergeConditionNets() :
control
MILSTM() :
recurrent
,
rnn_cell
- n -
net2list() :
SparseTransformer
NewRecord() :
schema
normalize_processor_output() :
pipeline
NotNet() :
control
- o -
OnGPU() :
muji
optimize_interference() :
memonger
output_to_list() :
core
- p -
Parallelize_GPU() :
data_parallel_model
pipe() :
pipeline
pipe_and_output() :
pipeline
PRelu() :
nonlinearity
prepare_prediction_net() :
predictor_exporter
- r -
RawTuple() :
schema
recurrent_net() :
recurrent
Relu() :
nonlinearity
ResNet110() :
cifar10_training
ResNet20() :
cifar10_training
rnn_bidirectional_encoder() :
seq2seq_util
rnn_unidirectional_encoder() :
seq2seq_util
RunEpoch() :
resnet50_trainer
RunNet() :
workspace
- s -
scoped_execution_step() :
core
ScopedBlobReference() :
core
ScopedName() :
core
share_grad_blobs() :
memonger
Softmax() :
normalization
StartMint() :
workspace
StopImmediate() :
workspace
StringifyProto() :
workspace
Sum() :
algebra
Switch() :
control
SwitchNot() :
control
- t -
to_string() :
net_printer
topological_sort_traversal_longest_path() :
memonger
transFCRelu() :
SparseTransformer
TranslateInput() :
caffe_translator
Transpose() :
algebra
TryReadProtoWithClass() :
utils
tt_svd() :
tt_core
Tuple() :
schema
- u -
Until() :
control
- v -
VGG() :
cifar10_training
- w -
While() :
control
worker_init_func() :
core
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