caffe2.python.dataio.ReaderWithTimeLimit Class Reference

Inheritance diagram for caffe2.python.dataio.ReaderWithTimeLimit:

Public Member Functions
def	__init__ (self, reader, duration=0)
def	setup_limiter (self, global_init_net, global_finish_net)
def	check_limiter_condition (self, stop_condition_net)
Public Member Functions inherited from caffe2.python.dataio.ReaderWithLimitBase
def	__init__ (self, reader)
def	setup_ex (self, global_init_net, global_finish_net)
def	read_ex (self, local_init_net, local_finish_net)
def	setup_limiter (self, global_init_net, global_finish_net)
def	check_limiter_condition (self, stop_condition_net)
def	data_finished (self)
Public Member Functions inherited from caffe2.python.dataio.Reader
def	__init__ (self, schema=None)
def	schema (self)
def	setup_ex (self, init_net, finish_net)
def	read_ex (self, local_init_net, local_finish_net)
def	read_record_ex (self, local_init_net, local_finish_net)
def	read (self, read_net)
def	reset (self, net)
def	read_record (self, read_net)
def	execution_step (self, reader_net_name=None, external_should_stop=None)

Public Attributes
	timer
	duration
	duration_ns_blob
Public Attributes inherited from caffe2.python.dataio.ReaderWithLimitBase
	reader
	net
	should_stop

Detailed Description

Reader that stops after `duration` seconds.

If `duration` <= 0 or is None, reverts to an unconstrained reader that
exports a boolean blob indicating that the reader has exhausted
the data steam.

Definition at line 452 of file dataio.py.

Constructor & Destructor Documentation

def caffe2.python.dataio.ReaderWithTimeLimit.__init__	(		self,
			reader,
			duration = 0
	)

Class initializer.

Args:
    reader: The underlying reader object doing the actual read.
    duration: Number of seconds to read. If un-specified, None, or <= 0,
the class reverts to a normal reader except that it also
produces a data_finished blob as a side effect to indicate
whether the input stream is exhausted.

Definition at line 459 of file dataio.py.

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

• caffe2/python/dataio.py