| __init__(self, model, input_record, output_dims, weight_init=None, bias_init=None, weight_optim=None, bias_optim=None, name='fc', weight_reg=None, bias_reg=None, clip_param=None, max_fc_size=None, axis=1, kwargs) (defined in caffe2.python.layers.fc.FC) | caffe2.python.layers.fc.FC | |
| __init__(self, args, kwargs) (defined in caffe2.python.layers.sampling_trainable_mixin.SamplingTrainableMixin) | caffe2.python.layers.sampling_trainable_mixin.SamplingTrainableMixin | |
| caffe2::python::layers::layers::ModelLayer.__init__(self, model, prefix, input_record, predict_input_record_fields=None, tags=None, kwargs) | caffe2.python.layers.layers.ModelLayer | |
| add_eval_ops(self, net) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| add_init_params(self, init_net) | caffe2.python.layers.layers.ModelLayer | |
| add_operators(self, net, init_net=None, context=InstantiationContext.TRAINING) | caffe2.python.layers.layers.ModelLayer | |
| add_ops(self, net) (defined in caffe2.python.layers.sampling_trainable_mixin.SamplingTrainableMixin) | caffe2.python.layers.sampling_trainable_mixin.SamplingTrainableMixin | |
| add_ops(self, net) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| add_ops_to_accumulate_pred(self, net) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| add_param_copy_operators(self, net) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| add_train_ops(self, net) (defined in caffe2.python.layers.sampling_trainable_mixin.SamplingTrainableMixin) | caffe2.python.layers.sampling_trainable_mixin.SamplingTrainableMixin | |
| add_train_ops(self, net) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| axis (defined in caffe2.python.layers.fc.FC) | caffe2.python.layers.fc.FC | |
| b (defined in caffe2.python.layers.fc.FC) | caffe2.python.layers.fc.FC | |
| b_vec (defined in caffe2.python.layers.fc.FC) | caffe2.python.layers.fc.FC | |
| calculate_fc_output_dims(max_fc_size, input_dim, output_dim) (defined in caffe2.python.layers.fc.FC) | caffe2.python.layers.fc.FC | static |
| clip_args (defined in caffe2.python.layers.fc.FC) | caffe2.python.layers.fc.FC | |
| create_param(self, param_name, shape, initializer, optimizer, ps_param=None, regularizer=None) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| eval_output_schema (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| export_output_for_metrics(self) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| export_params_for_metrics(self) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| get_fp16_compatible_parameters(self) | caffe2.python.layers.layers.ModelLayer | |
| get_memory_usage(self) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| get_next_blob_reference(self, name) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| get_parameters(self) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| get_type(self) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| input_record(self) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| kwargs (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| model (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| name (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| output_dim_vec (defined in caffe2.python.layers.fc.FC) | caffe2.python.layers.fc.FC | |
| output_schema (defined in caffe2.python.layers.fc.FC) | caffe2.python.layers.fc.FC | |
| output_schema(self) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| output_schema(self, output_schema) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| param_blobs(self) (defined in caffe2.python.layers.fc.FC) | caffe2.python.layers.fc.FC | |
| params (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| precomputation_object_only (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| precomputation_request_only (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| predict_input_record(self) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| predict_output_schema(self) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| predict_output_schema(self, output_schema) (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| request_only (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| tags (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| train_param_blobs (defined in caffe2.python.layers.sampling_trainable_mixin.SamplingTrainableMixin) | caffe2.python.layers.sampling_trainable_mixin.SamplingTrainableMixin | |
| train_param_blobs(self) | caffe2.python.layers.sampling_trainable_mixin.SamplingTrainableMixin | |
| train_param_blobs(self, blobs) (defined in caffe2.python.layers.sampling_trainable_mixin.SamplingTrainableMixin) | caffe2.python.layers.sampling_trainable_mixin.SamplingTrainableMixin | |
| w (defined in caffe2.python.layers.fc.FC) | caffe2.python.layers.fc.FC | |
| w_vec (defined in caffe2.python.layers.fc.FC) | caffe2.python.layers.fc.FC | |
1.8.11
