| __init__(self, model, input_record, output_dims, s=1, scale=1.0, weight_init=None, bias_init=None, weight_optim=None, bias_optim=None, set_weight_as_global_constant=False, initialize_output_schema=True, name='arc_cosine_feature_map', kwargs) (defined in caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| 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.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| 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.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| 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_dims (defined in caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| 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.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| name (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| output_dims (defined in caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| output_schema (defined in caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| 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 | |
| params (defined in caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| 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 | |
| random_b (defined in caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| random_w (defined in caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| request_only (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
| s (defined in caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| set_weight_as_global_constant (defined in caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| stddev (defined in caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap) | caffe2.python.layers.arc_cosine_feature_map.ArcCosineFeatureMap | |
| tags (defined in caffe2.python.layers.layers.ModelLayer) | caffe2.python.layers.layers.ModelLayer | |
1.8.11
