caffe2.python.optimizer.AdamOptimizer Class Reference

Inheritance diagram for caffe2.python.optimizer.AdamOptimizer:

Public Member Functions
def	__init__ (self, alpha=0.001, beta1=0.9, beta2=0.999, epsilon=1e-8, policy='fixed', use_lr_adaption=False, lr_alpha=0.01, normalized_lr_adaption=True, sparse_dedup_aggregator=None, rowWise=False, engine='', kwargs)
def	scale_learning_rate (self, scale)
Public Member Functions inherited from caffe2.python.optimizer.Optimizer
def	__init__ (self)
def	__call__ (self, net, param_init_net, param, grad=None)
def	get_cpu_blob_name (self, base_str, node_name='')
def	get_gpu_blob_name (self, base_str, gpu_id, node_name)
def	make_unique_blob_name (self, base_str)
def	build_lr (self, net, param_init_net, base_learning_rate, learning_rate_blob=None, policy="fixed", iter_val=0, kwargs)
def	add_lr_multiplier (self, lr_multiplier)
def	get_auxiliary_parameters (self)
def	scale_learning_rate (self, args, kwargs)
def	create_lars_inputs (self, param_init_net, weight_decay, trust, lr_max)

Public Attributes
	alpha
	beta1
	beta2
	epsilon
	policy
	use_lr_adaption
	lr_alpha
	normalized_lr_adaption
	sparse_dedup_aggregator
	rowWise
	engine
	init_kwargs

Additional Inherited Members
Static Public Member Functions inherited from caffe2.python.optimizer.Optimizer
def	dedup (net, sparse_dedup_aggregator, grad)

Detailed Description

Definition at line 904 of file optimizer.py.

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The documentation for this class was generated from the following file:

• caffe2/python/optimizer.py