caffe2.python.layers.last_n_window_collector.LastNWindowCollector Class Reference

Inheritance diagram for caffe2.python.layers.last_n_window_collector.LastNWindowCollector:

Public Member Functions
def	__init__ (self, model, input_record, num_to_collect, name='last_n_window_collector', kwargs)
def	add_ops (self, net)
Public Member Functions inherited from caffe2.python.layers.layers.ModelLayer
def	__init__ (self, model, prefix, input_record, predict_input_record_fields=None, tags=None, kwargs)
def	get_type (self)
def	predict_input_record (self)
def	input_record (self)
def	predict_output_schema (self)
def	predict_output_schema (self, output_schema)
def	output_schema (self)
def	output_schema (self, output_schema)
def	get_parameters (self)
def	get_fp16_compatible_parameters (self)
def	get_memory_usage (self)
def	add_init_params (self, init_net)
def	create_param (self, param_name, shape, initializer, optimizer, ps_param=None, regularizer=None)
def	get_next_blob_reference (self, name)
def	add_operators (self, net, init_net=None, context=InstantiationContext.TRAINING)
def	add_ops (self, net)
def	add_eval_ops (self, net)
def	add_train_ops (self, net)
def	add_ops_to_accumulate_pred (self, net)
def	add_param_copy_operators (self, net)
def	export_output_for_metrics (self)
def	export_params_for_metrics (self)

Public Attributes
	num_to_collect
	last_n
	next_blob
	mutex
	num_visited_blob
	output_schema
Public Attributes inherited from caffe2.python.layers.layers.ModelLayer
	name
	model
	kwargs
	request_only
	precomputation_request_only
	precomputation_object_only
	eval_output_schema
	tags
	params

Detailed Description

Collect last-N samples from input record. If you have complex data,
use PackRecords to pack it before using this layer.

This layer is not thread safe.

Definition at line 12 of file last_n_window_collector.py.

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

• caffe2/python/layers/last_n_window_collector.py