morpheus.config.Config#

class Config(
execution_mode=ExecutionMode.GPU,
debug=False,
log_level=30,
log_config_file=None,
plugins=None,
mode=PipelineModes.OTHER,
_pipeline_batch_size=256,
_model_max_batch_size=8,
feature_length=256,
num_threads=1,
edge_buffer_size=128,
class_labels=<factory>,
ae=None,
fil=None,
frozen=False,
)[source]#

Bases: ConfigBase

Pipeline configuration class.

Parameters:
debugbool

Flag to run pipeline in debug mode. Default value is False.

log_levelint

Specifies the log level and above to output. Must be one of the available levels in the logging module.

modePipelineModes

Determines type of pipeline Ex: FIL or NLP. Use OTHER for custom pipelines.

feature_lengthint

Specifies the dimension of the second axis for messages in the pipeline. For NLP this is the sequence length. For FIL this is the number of input features.

pipeline_batch_sizeint

Determines number of messages per batch. Default value is 256.

num_threadsint

Number threads to process each batch of messages. Default value is 1.

model_max_batch_size8

In a single batch, the maximum number of messages to send to the model for inference. Default value is 8.

edge_buffer_sizeint, default = 128

The size of buffered channels to use between nodes in a pipeline. Larger values reduce backpressure at the cost of memory. Smaller values will push messages through the pipeline quicker. Must be greater than 1 and a power of 2 (i.e., 2, 4, 8, 16, etc.).

Attributes:
aeConfigAutoEncoder

Config for autoencoder.

log_config_filestr

File corresponding to this Config.

Methods

freeze()

Freeze the Config object, making it immutable.

save(filename)

Save Config to file.

to_string()

Get string representation of Config.
freeze()[source]#

Freeze the Config object, making it immutable. This method will be invoked when the config object is passed to a pipeline or stage for the first time.

Calling freeze on a frozen instance will not have any effect.

save(filename)[source]#

Save Config to file.

Parameters:
filenamestr

File path to save Config.

to_string()[source]#

Get string representation of Config.

Returns:
str

Config as string.