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#! /usr/bin/env bash |
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function fashion_mnist() { |
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abcli_fashion_mnist $@ |
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} |
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function abcli_fashion_mnist() { |
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local task=$(abcli_unpack_keyword $1 help) |
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if [ $task == "help" ] ; then |
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abcli_help_line "$abcli_cli_name fashion_mnist ingest" \ |
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"ingest fashion_mnist data." |
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abcli_help_line "$abcli_cli_name fashion_mnist predict object_1 [name_1] [object]" \ |
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"run fashion_mnist saved/object model name_1 predict on object_1." |
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abcli_help_line "$abcli_cli_name fashion_mnist save [name_1] [object_1] [force]" \ |
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"[force] save fashion_mnist [in object_1] as name_1." |
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abcli_help_line "$abcli_cli_name fashion_mnist train [validate]" \ |
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"train fashion_mnist [for validation]." |
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if [ "$(abcli_keyword_is $2 verbose)" == true ] ; then |
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python3 -m image_classifier.fashion_mnist --help |
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fi |
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return |
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fi |
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if [ "$task" == "ingest" ] ; then |
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python3 -m image_classifier.fashion_mnist \ |
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ingest \ |
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--output_path $abcli_object_path \ |
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${@:2} |
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abcli_tag set . fashion_mnist |
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return |
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fi |
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if [ "$task" == "predict" ] ; then |
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abcli_huggingface predict \ |
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image-classifier \ |
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$2 \ |
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$(abcli_clarify_arg "$3" fashion-mnist) \ |
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${@:4} |
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return |
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fi |
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if [ "$task" == "save" ] ; then |
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abcli_huggingface save \ |
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image-classifier \ |
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$(abcli_clarify_arg "$2" fashion-mnist) \ |
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${@:3} |
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return |
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fi |
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if [ "$task" == "train" ] ; then |
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local model_object=$abcli_object_name |
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local options=$2 |
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local do_validate=$(abcli_option_get_unpacked "$options" "validate" 0) |
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abcli_select - ~trail |
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abcli_fashion_mnist ingest |
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local data_object=$abcli_object_name |
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abcli_log "fashion_mnist.train($data_object): $options" |
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abcli_select $model_object ~trail |
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abcli_image_classifier_train \ |
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$data_object \ |
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~color,~convnet,validate=$do_validate \ |
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${@:3} |
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abcli_tag set . fashion_mnist |
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return |
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fi |
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abcli_log_error "-fashion_mnist: $task: command not found." |
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} |
