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Morpheus CLI Overview

This section focuses on the Morpheus CLI and illustrates how the CLI can be used to configure and run a Morpheus Pipeline.

Organization

The Morpheus CLI is built on the Click Python package which allows for nested commands and chaining multiple commands together. At a high level, the CLI is broken up into two main sections:

  • run
    • For running AE, FIL, NLP or OTHER pipelines.
  • tools
    • Tools/Utilities to help set up, configure and run pipelines and external resources.

Users can get help on any command by passing --help to a command or sub-command. For example, to get help on the run:

$ morpheus run --help
Usage: morpheus run [OPTIONS] COMMAND [ARGS]...

Options:
--num_threads INTEGER RANGE     Number of internal pipeline threads to use  [default: 12; x>=1]
--pipeline_batch_size INTEGER RANGE
                                 Internal batch size for the pipeline. Can be much larger than the model batch size. Also used for Kafka consumers  [default: 256; x>=1]
--model_max_batch_size INTEGER RANGE
                                 Max batch size to use for the model  [default: 8; x>=1]
--edge_buffer_size INTEGER RANGE
                                 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.)  [default: 128; x>=2]
--use_cpp BOOLEAN               Whether or not to use C++ node and message types or to prefer python. Only use as a last resort if bugs are encountered  [default: True]
--help                          Show this message and exit.

Commands:
pipeline-ae     Run the inference pipeline with an AutoEncoder model
pipeline-fil    Run the inference pipeline with a FIL model
pipeline-nlp    Run the inference pipeline with a NLP model
pipeline-other  Run a custom inference pipeline without a specific model type

Currently, Morpheus pipeline can be operated in four different modes.

  • pipeline-ae
    • This pipeline mode is used to run training/inference on the AutoEncoder model.
  • pipeline-fil
    • This pipeline mode is used to run inference on FIL (Forest Inference Library) models such as XGBoost, RandomForestClassifier, etc.
  • pipeline-nlp
    • This pipeline mode is used to run inference on NLP models, it offers the ability to tokenize the input data prior to submitting the inference requests.
  • pipeline-other
    • Run a customized inference pipeline without using a specific model type.

Similar to the run command, we can get help on the tools:

$ morpheus tools --help
Usage: morpheus tools [OPTIONS] COMMAND [ARGS]...

Tools subcommand

Options:
--help  Show this message and exit.

Commands:
autocomplete  Utility for installing/updating/removing shell completion for Morpheus
onnx-to-trt   Converts an ONNX model to a TRT engine

The help text will show arguments, options and all possible sub-commands. Help for each of these sub-commands can be queried in the same manner:

$ morpheus tools onnx-to-trt --help
Usage: morpheus tools onnx-to-trt [OPTIONS]

Converts an ONNX model to a TRT engine

Options:
--input_model PATH              [required]
--output_model PATH             [required]
--batches <INTEGER INTEGER>...  [required]
--seq_length INTEGER            [required]
--max_workspace_size INTEGER    [default: 16000]
--help                          Show this message and exit.

AutoComplete

The Morpheus CLI supports bash, fish, zsh, and powershell autocompletion. To set up autocomplete, it must first be installed. Morpheus comes with a tool to assist with this:

$ morpheus tools autocomplete install
bash completion installed in ~/.bash_completion
$ source ~/.bash_completion

After autocomplete has been installed, [TAB] can be used to show all commands, options and arguments when building pipelines via the CLI:

$ morpheus run pipeline- # [TAB][TAB]
pipeline-fil  pipeline-nlp