__dir__(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
__getattr__(self, layer) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
__init__(self, name, input_feature_schema, trainer_extra_schema, keep_blobs=False) | caffe2.python.layer_model_helper.LayerModelHelper | |
__init__(self, name=None, init_params=True, allow_not_known_ops=True, skip_sparse_optim=False, param_model=None, arg_scope=None) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
ad_hoc_diagnose_blobs_and_operations (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
ad_hoc_plot_blobs (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
add_ad_hoc_plot_blob(self, blob, dtype=None) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
add_final_net_modifiers(self, modifier) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
add_global_constant(self, name, array=None, dtype=None, initializer=None) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
add_layer(self, layer) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
add_loss(self, loss, name='unnamed') (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
add_metric_field(self, name, value) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
add_output_schema(self, name, value) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
add_param_DEPRECATED(self, param, key=None, shape=None, length=None) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
add_post_grad_net_modifiers(self, modifier) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
add_prediction(self, prediction, weight=1.0) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
add_trainer_extra_schema(self, trainer_extra_schema) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
AddGradientOperators(self, args, kwargs) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
AddParameter(self, param, tags=None) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
allow_not_known_ops (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
apply_final_net_modifiers(self, trainer_net, trainer_init_net, grad_map, blob_to_device=None, modify_output_record=False) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
apply_optimizers(self, train_net, train_init_net, grad_map, blob_to_device=None) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
apply_post_grad_net_modifiers(self, trainer_net, trainer_init_net, grad_map, blob_to_device=None, modify_output_record=False) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
apply_regularizers_after_optimizer(self, train_net, train_init_net, grad_map, blob_to_device=None) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
apply_regularizers_on_loss(self, train_net, train_init_net, blob_to_device=None) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
apply_seed(self, net) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
arg_scope(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
biases (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
breakdown_map(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
breakdown_map(self, breakdown_map) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
clear_output_schema(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
ConstructInitTrainNetfromNet(self, net) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
create_init_net(self, name) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
create_param(self, param_name, shape, initializer, optimizer=None, ps_param=None, regularizer=None) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
caffe2::python::model_helper::ModelHelper.create_param(self, param_name, shape, initializer, tags=None) | caffe2.python.model_helper.ModelHelper | |
CreateDB(self, blob_out, db, db_type, kwargs) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
default_optimizer(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
default_optimizer(self, optimizer) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
get_name(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
get_param_info(self, param) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
get_param_to_grad(self, params) | caffe2.python.model_helper.ModelHelper | |
get_parameter_blobs(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
GetAllParams(self, namescope=None) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
GetCompleteNet(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
GetComputedParams(self, namescope=None) | caffe2.python.model_helper.ModelHelper | |
GetDevices(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
GetOptimizationParamInfo(self, params=None) | caffe2.python.model_helper.ModelHelper | |
GetParams(self, namescope=None, top_scope=False) | caffe2.python.model_helper.ModelHelper | |
global_constant_initializers (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
global_constants (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
grad_map (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
gradient_ops_added (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
has_loss(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
init_params (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
InitProto(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
input_feature_schema(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
layers(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
loss(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
loss(self, loss) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
maybe_add_global_constant(self, name, args, kwargs) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
metrics_schema(self) | caffe2.python.layer_model_helper.LayerModelHelper | |
name (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
net (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
next_layer_name(self, prefix) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
NoOptim(self, args, kwargs) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
output_schema(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
output_schema(self, schema) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
param_init_net (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
param_to_grad (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
param_to_optim (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
param_to_reg (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
params (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
prediction(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
preproc_output_schema(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
preproc_output_schema(self, schema) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
Proto(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
RunAllOnGPU(self, args, kwargs) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
seed(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
sequence_seed(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
set_initialize_params(self, initialize_params) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
skip_sparse_optim (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
store_seed(self, seed, sequence_seed=True) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
TensorProtosDBInput(self, unused_blob_in, blob_out, batch_size, db, db_type, kwargs) | caffe2.python.model_helper.ModelHelper | |
trainer_extra_schema(self) (defined in caffe2.python.layer_model_helper.LayerModelHelper) | caffe2.python.layer_model_helper.LayerModelHelper | |
Validate(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
weights (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |