morpheus.config.Config

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class Config(debug=False, log_level=30, log_config_file=None, plugins=None, mode=PipelineModes.OTHER, feature_length=256, pipeline_batch_size=256, num_threads=1, model_max_batch_size=8, edge_buffer_size=128, class_labels= , ae=None, fil=None)[source]

Bases: morpheus.config.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.
mode<bsp-code-inline code="<a href="morpheus.config.PipelineModes.html#morpheus.config.PipelineModes">PipelineModes</a>"><a href="morpheus.config.PipelineModes.html#morpheus.config.PipelineModes">PipelineModes</a></bsp-code-inline>: 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

ae<bsp-code-inline code="<a href="morpheus.config.ConfigAutoEncoder.html#morpheus.config.ConfigAutoEncoder">ConfigAutoEncoder</a>"><a href="morpheus.config.ConfigAutoEncoder.html#morpheus.config.ConfigAutoEncoder">ConfigAutoEncoder</a></bsp-code-inline>: Config for autoencoder.
log_config_filestr: File corresponding to this Config.

Methods

`save`(filename)	Save Config to file.
`to_string`()	Get string representation of Config.

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.