| __getattr__(self, layer) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| __init__(self, name, input_feature_schema, trainer_extra_schema) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| __init__(self, name=None, init_params=True, allow_not_known_ops=True, skip_sparse_optim=False, param_model=None) (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| add_global_constant(self, name, array=None, dtype=None, initializer=None) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| add_layer(self, layer) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| add_metric_field(self, name, value) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| add_param(self, param, key=None, shape=None, length=None) (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| AddGradientOperators(self, args, kwargs) (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| AddOperator(self, op_type, inputs, parameters, args, kwargs) | model_helper.ModelHelperBase | |
| allow_not_known_ops (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| apply_optimizers(self, train_net, train_init_net, grad_map) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| biases (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| computed_params (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| create_init_net(self, name) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| CreateDB(self, blob_out, db, db_type, kwargs) (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| default_optimizer(self) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| default_optimizer(self, optimizer) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| get_name(self) (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| get_param_to_grad(self, params) | model_helper.ModelHelperBase | |
| get_parameter_blobs(self) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| GetAllParams(self, namescope=None) (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| GetComputedParams(self, namescope=None) | model_helper.ModelHelperBase | |
| GetDevices(self) (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| GetOptimizationPairs(self, params=None) | model_helper.ModelHelperBase | |
| GetParams(self, namescope=None, top_scope=False) | model_helper.ModelHelperBase | |
| global_constant_initializers (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| global_constants (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| grad_map (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| gradient_ops_added (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| init_params (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| InitProto(self) (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| input_feature_schema(self) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| layers(self) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| loss(self) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| loss(self, loss) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| metrics_schema(self) | layer_model_helper.LayerModelHelper | |
| name (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| net (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| next_layer_name(self, prefix) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| NoOptim(self, args, kwargs) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| output_schema(self) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| output_schema(self, schema) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| param_info(self, grad_type=None, id=None) (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| param_init_net (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| param_to_grad (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| param_to_optim (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| params (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| Proto(self) (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| RunAllOnGPU(self, args, kwargs) (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| skip_sparse_optim (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
| TensorProtosDBInput(self, unused_blob_in, blob_out, batch_size, db, db_type, kwargs) | model_helper.ModelHelperBase | |
| trainer_extra_schema(self) (defined in layer_model_helper.LayerModelHelper) | layer_model_helper.LayerModelHelper | |
| weights (defined in model_helper.ModelHelperBase) | model_helper.ModelHelperBase | |
1.8.14