def translate(output_handler: OutputHandler, trans_inputs: List[inference.TranslatorInput],
translator: inference.Translator) -> float:
"""
Translates each line from source_data, calling output handler after translating a batch.
:param output_handler: A handler that will be called once with the output of each translation.
:param trans_inputs: A enumerable list of translator inputs.
:param translator: The translator that will be used for each line of input.
:return: Total time taken.
"""
tic = time.time()
trans_outputs = translator.translate(trans_inputs)
total_time = time.time() - tic
batch_time = total_time / len(trans_inputs)
for trans_input, trans_output in zip(trans_inputs, trans_outputs):
output_handler.handle(trans_input, trans_output, batch_time)
return total_time
def translate(output_handler: OutputHandler,
trans_inputs: List[inference.TranslatorInput],
translator: inference.Translator) -> float:
"""
Translates each line from source_data, calling output handler after translating a batch.
:param output_handler: A handler that will be called once with the output of each translation.
:param trans_inputs: A enumerable list of translator inputs.
:param translator: The translator that will be used for each line of input.
:return: Total time taken.
"""
tic = time.time()
trans_outputs = translator.translate(trans_inputs)
total_time = time.time() - tic
batch_time = total_time / len(trans_inputs)
for trans_input, trans_output in zip(trans_inputs, trans_outputs):
output_handler.handle(trans_input, trans_output, batch_time)
return total_time
def translate(output_handler: OutputHandler, dynamic_batch_mode_enabled: bool,
trans_inputs: List[inference.TranslatorInput],
translator: inference.Translator) -> float:
"""
Translates each line from source_data, calling output handler after translating a batch.
:param output_handler: A handler that will be called once with the output of each translation.
:param dynamic_batch_mode_enabled: Flag set to allow dynamic batches in translation, rather than fixed value
:param trans_inputs: A enumerable list of translator inputs.
:param translator: The translator that will be used for each line of input.
:return: Total time taken.
"""
tic = time.time()
if dynamic_batch_mode_enabled:
trans_outputs = translator.translate_dynamic_batch_size(
trans_inputs=trans_inputs)
else:
trans_outputs = translator.translate(trans_inputs)
total_time = time.time() - tic
batch_time = total_time / len(trans_inputs)
for trans_input, trans_output in zip(trans_inputs, trans_outputs):
output_handler.handle(trans_input, trans_output, batch_time)
return total_time
def translate(output_handler: OutputHandler,
trans_inputs: List[inference.TranslatorInput],
translator: inference.Translator,
num_translations: int = 1) -> float:
"""
Translates each line from source_data, calling output handler after translating a batch.
:param output_handler: A handler that will be called once with the output of each translation.
:param trans_inputs: A enumerable list of translator inputs.
:param translator: The translator that will be used for each line of input.
:return: Total time taken.
"""
tic = time.time()
if num_translations > 1:
trans_outputs_list = []
for i in range(num_translations):
trans_outputs = translator.translate(trans_inputs)
trans_outputs_list.append(trans_outputs)
total_time = time.time() - tic
batch_time = total_time / len(trans_inputs)
cnt = 0
for trans_input in trans_inputs:
for trans_outputs in trans_outputs_list:
output_handler.handle(trans_input, trans_outputs[cnt],
batch_time)
output_handler.handle(trans_input, None, batch_time)
cnt = cnt + 1
else:
trans_outputs = translator.translate(trans_inputs)
total_time = time.time() - tic
batch_time = total_time / len(trans_inputs)
for trans_input, trans_output in zip(trans_inputs, trans_outputs):
output_handler.handle(trans_input, trans_output, batch_time)
output_handler.handle(trans_input, None, batch_time)
return total_time