| __call__(self, net, param_init_net, param, grad=None) (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | |
| __init__(self, alpha=0.01, epsilon=1e-4, decay=1, policy="fixed", sparse_dedup_aggregator=None, rowWise=False, engine='', lars=None, output_effective_lr=False, output_effective_lr_and_update=False, kwargs) (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| __init__(self) (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | |
| add_lr_multiplier(self, lr_multiplier) | caffe2.python.optimizer.Optimizer | |
| alpha (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| 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 | |
| decay (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| dedup(net, sparse_dedup_aggregator, grad) (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | static |
| engine (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| epsilon (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| 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.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| lars (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| make_unique_blob_name(self, base_str) | caffe2.python.optimizer.Optimizer | |
| output_effective_lr (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| output_effective_lr_and_update (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| policy (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| rowWise (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| scale_learning_rate(self, scale) (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
| scale_learning_rate(self, args, kwargs) (defined in caffe2.python.optimizer.Optimizer) | caffe2.python.optimizer.Optimizer | |
| sparse_dedup_aggregator (defined in caffe2.python.optimizer.AdagradOptimizer) | caffe2.python.optimizer.AdagradOptimizer | |
1.8.11
