def iter_infer(self, input, feeding=None):
feeder = DataFeeder(self.__data_types__, feeding)
batch_size = len(input)
def __reader_impl__():
for each_sample in input:
yield each_sample
reader = minibatch.batch(__reader_impl__, batch_size=batch_size)
self.__gradient_machine__.start()
for data_batch in reader():
yield self.__gradient_machine__.forwardTest(feeder(data_batch))
self.__gradient_machine__.finish()
def iter_infer(self, input, feeding=None):
feeder = DataFeeder(self.__data_types__, feeding)
batch_size = len(input)
def __reader_impl__():
for each_sample in input:
yield each_sample
reader = minibatch.batch(__reader_impl__, batch_size=batch_size)
self.__gradient_machine__.start()
for data_batch in reader():
yield self.__gradient_machine__.forwardTest(feeder(data_batch))
self.__gradient_machine__.finish()