abcli/fashion_mnist.sh

#! /usr/bin/env bash

function fashion_mnist() {
    abcli_fashion_mnist $@
}

function abcli_fashion_mnist() {
    local task=$(abcli_unpack_keyword $1 help)

    if [ $task == "help" ] ; then
        abcli_help_line "$abcli_cli_name fashion_mnist ingest" \
            "ingest fashion_mnist data."
        abcli_help_line "$abcli_cli_name fashion_mnist predict data_1 [name_1] [data=filename/*object/url,model=object/*saved]" \
            "run fashion_mnist saved/object model name_1 predict on filename/object/url data_1."
        abcli_help_line "$abcli_cli_name fashion_mnist save [name_1] [object_1] [force]" \
            "[force] save fashion_mnist [in object_1] [as name_1]."
        abcli_help_line "$abcli_cli_name fashion_mnist train [validate]" \
            "train fashion_mnist [for validation]."

        if [ "$(abcli_keyword_is $2 verbose)" == true ] ; then
            python3 -m image_classifier.fashion_mnist --help
        fi

        return
    fi

    if [ "$task" == "ingest" ] ; then
        python3 -m image_classifier.fashion_mnist \
            ingest \
            --output_path $abcli_object_path \
            ${@:2}

        abcli_tag set . fashion_mnist
        return
    fi

    if [ "$task" == "predict" ] ; then
        local data_object=$(abcli_clarify_object "$2" $abcli_object_name)

        local model_name=$(abcli_clarify_arg "$3" fashion-mnist)

        local options=$4
        local data_source=$(abcli_option "$options" "data" object)

        if [ "$(abcli_keyword_is $data_object validate)" == true ] && [ "$data_source" == "object" ] ; then
            local output_object=$abcli_object_name

            abcli_select - ~trail
            abcli_fashion_mnist ingest
            local data_object=$abcli_object_name

            abcli_select $output_object ~trail
        fi

        abcli_log "fashion_mnist($model_name).predict($data_object): $options"

        abcli_image_classifier predict \
            $data_object \
            $model_name \
            $options \
            ${@:5}

        abcli_tag set . fashion_mnist

        return
    fi

    if [ "$task" == "save" ] ; then
        abcli_huggingface save \
            image-classifier \
            $(abcli_clarify_arg "$2" fashion-mnist) \
            ${@:3}
        return
    fi

    if [ "$task" == "train" ] ; then
        local model_object=$abcli_object_name

        local options=$2
        local do_validate=$(abcli_option_get_unpacked "$options" "validate" 0)

        abcli_select - ~trail
        abcli_fashion_mnist ingest
        local data_object=$abcli_object_name

        abcli_log "fashion_mnist.train($data_object): $options"

        abcli_select $model_object ~trail
        abcli_image_classifier_train \
            $data_object \
            ~color,~convnet,validate=$do_validate \
            ${@:3}

        abcli_tag set . fashion_mnist
        return
    fi

    abcli_log_error "-fashion_mnist: $task: command not found."
}