neuralmonkey.runners package

Submodules

neuralmonkey.runners.base_runner module

class neuralmonkey.runners.base_runner.BaseRunner(output_series: str, decoder) → None

Bases: object

decoder_data_id

get_executable(compute_losses=False, summaries=True) → neuralmonkey.runners.base_runner.Executable

loss_names

class neuralmonkey.runners.base_runner.Executable

Bases: object

collect_results(results: typing.List[typing.Dict]) → None

next_to_execute() → typing.Tuple[typing.List[typing.Any], typing.Union[typing.Dict, typing.List], typing.Dict[tensorflow.python.framework.ops.Tensor, typing.Union[int, float, numpy.ndarray]]]

class neuralmonkey.runners.base_runner.ExecutionResult(outputs, losses, scalar_summaries, histogram_summaries, image_summaries)

Bases: tuple

histogram_summaries

Alias for field number 3

image_summaries

Alias for field number 4

losses

Alias for field number 1

outputs

Alias for field number 0

scalar_summaries

Alias for field number 2

neuralmonkey.runners.base_runner.collect_encoders(coder)

Collect recusively all encoders and decoders.

neuralmonkey.runners.base_runner.reduce_execution_results(execution_results: typing.List[neuralmonkey.runners.base_runner.ExecutionResult]) → neuralmonkey.runners.base_runner.ExecutionResult

Aggregate execution results into one.

neuralmonkey.runners.rnn_runner module

neuralmonkey.runners.runner module

class neuralmonkey.runners.runner.GreedyRunExecutable(all_coders, fetches, vocabulary, postprocess)

Bases: neuralmonkey.runners.base_runner.Executable

collect_results(results: typing.List[typing.Dict]) → None

next_to_execute() → typing.Tuple[typing.List[typing.Any], typing.Union[typing.Dict, typing.List], typing.Dict[tensorflow.python.framework.ops.Tensor, typing.Union[int, float, numpy.ndarray]]]

Get the feedables and tensors to run.

class neuralmonkey.runners.runner.GreedyRunner(output_series: str, decoder, postprocess: typing.Callable[[typing.List[str]], typing.List[str]] = None) → None

Bases: neuralmonkey.runners.base_runner.BaseRunner

get_executable(compute_losses=False, summaries=True)

loss_names

Module contents