| __call__(self, net, param_init_net, param, grad=None) (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | |
| __init__(self, base_learning_rate=0.1, momentum=0.0, policy="fixed", nesterov=1, sparse_dedup_aggregator=None, kwargs) (defined in caffe2.python.optimizer.MultiPrecisionSgdOptimizer) | caffe2.python.optimizer.MultiPrecisionSgdOptimizer | |
| __init__(self, base_learning_rate=0.01, policy='fixed', momentum=0.0, nesterov=1, sparse_dedup_aggregator=None, lars=None, kwargs) (defined in caffe2.python.optimizer.SgdOptimizer) | caffe2.python.optimizer.SgdOptimizer | |
| __init__(self) (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | |
| add_lr_multiplier(self, lr_multiplier) | caffe2.python.optimizer.Optimizer | |
| base_learning_rate (defined in caffe2.python.optimizer.MultiPrecisionSgdOptimizer) | caffe2.python.optimizer.MultiPrecisionSgdOptimizer | |
| build_lr(self, net, param_init_net, base_learning_rate, learning_rate_blob=None, policy="fixed", iter_val=0, kwargs) (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | |
| create_lars_inputs(self, param_init_net, weight_decay, trust, lr_max) (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | |
| dedup(net, sparse_dedup_aggregator, grad) (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | static |
| get_auxiliary_parameters(self) | caffe2.python.optimizer.Optimizer | |
| get_cpu_blob_name(self, base_str, node_name='') (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | |
| get_gpu_blob_name(self, base_str, gpu_id, node_name) (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | |
| init_kwargs (defined in caffe2.python.optimizer.SgdOptimizer) | caffe2.python.optimizer.SgdOptimizer | |
| lars (defined in caffe2.python.optimizer.SgdOptimizer) | caffe2.python.optimizer.SgdOptimizer | |
| make_unique_blob_name(self, base_str) | caffe2.python.optimizer.Optimizer | |
| momentum (defined in caffe2.python.optimizer.SgdOptimizer) | caffe2.python.optimizer.SgdOptimizer | |
| nesterov (defined in caffe2.python.optimizer.SgdOptimizer) | caffe2.python.optimizer.SgdOptimizer | |
| policy (defined in caffe2.python.optimizer.SgdOptimizer) | caffe2.python.optimizer.SgdOptimizer | |
| scale_learning_rate(self, scale) (defined in caffe2.python.optimizer.SgdOptimizer) | caffe2.python.optimizer.SgdOptimizer | |
| scale_learning_rate(self, args, kwargs) (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | |
| sparse_dedup_aggregator (defined in caffe2.python.optimizer.SgdOptimizer) | caffe2.python.optimizer.SgdOptimizer | |
1.8.11
