Instructions to use JSHNSL/cyclo-intelligence-patches with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use JSHNSL/cyclo-intelligence-patches with LeRobot:
- Notebooks
- Google Colab
- Kaggle
File size: 4,957 Bytes
757177d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 | // Copyright 2025 ROBOTIS CO., LTD.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
import React from 'react';
import { shallowEqual, useSelector, useDispatch } from 'react-redux';
import clsx from 'clsx';
import {
markLocalTaskInfoEdited,
selectInferenceTaskInfo,
setInferenceTaskInfo,
} from '../features/tasks/taskSlice';
// Inference models. Each option pairs a backend (orchestrator routing
// via TaskInfo.service_type) with a policy class (drives instruction
// visibility and future per-model UI knobs). LeRobot is the backend;
// ACT, SmolVLA, XVLA, Pi0, Pi0.5, and Diffusion are policy families that
// can be loaded by that backend when the selected checkpoint is compatible.
//
// Add an enabled entry once a policy is validated end-to-end. value is the
// composite key the dropdown stores; serviceType / policyType are the
// fields that get written into taskInfo on selection. comingSoon entries are
// displayed as disabled options only, so they do not affect runtime routing.
//
const MODEL_GROUPS = [
{
label: 'LeRobot',
options: [
{ value: 'lerobot:act', label: 'ACT', serviceType: 'lerobot', policyType: 'act' },
{ value: 'lerobot:smolvla', label: 'SmolVLA', serviceType: 'lerobot', policyType: 'smolvla' },
{ value: 'lerobot:xvla', label: 'XVLA', serviceType: 'lerobot', policyType: 'xvla' },
{ value: 'lerobot:pi0', label: 'Pi0', serviceType: 'lerobot', policyType: 'pi0' },
{ value: 'lerobot:pi05', label: 'Pi0.5', serviceType: 'lerobot', policyType: 'pi05' },
{ value: 'lerobot:diffusion', label: 'Diffusion', serviceType: 'lerobot', policyType: 'diffusion' },
{ value: 'lerobot:vqbet', label: 'VQ-BeT', serviceType: 'lerobot', policyType: 'vqbet' },
],
},
{
label: 'GR00T',
options: [
{ value: 'groot:n17', label: 'N1.7', serviceType: 'groot', policyType: 'n17' },
],
},
{
label: 'Coming Soon',
options: [
{
value: 'future:greenvla',
label: 'GreenVLA',
serviceType: 'future',
policyType: 'greenvla',
comingSoon: true,
},
{
value: 'future:openpi',
label: 'OpenPI',
serviceType: 'future',
policyType: 'openpi',
comingSoon: true,
},
{
value: 'future:rldx1',
label: 'RLDX-1',
serviceType: 'future',
policyType: 'rldx1',
comingSoon: true,
},
],
},
];
export const MODEL_OPTIONS = MODEL_GROUPS.flatMap((group) => group.options);
const AVAILABLE_MODEL_OPTIONS = MODEL_OPTIONS.filter((opt) => !opt.comingSoon);
const DEFAULT = AVAILABLE_MODEL_OPTIONS[0];
const classLabel = clsx(
'text-sm', 'text-gray-600', 'w-28', 'flex-shrink-0', 'font-medium'
);
const InferenceModelSelector = ({ readonly = false }) => {
const dispatch = useDispatch();
const info = useSelector(selectInferenceTaskInfo, shallowEqual);
const serviceType = info.serviceType || DEFAULT.serviceType;
const policyType = info.policyType || DEFAULT.policyType;
const value = `${serviceType}:${policyType}`;
const handleChange = (e) => {
const sel = AVAILABLE_MODEL_OPTIONS.find((o) => o.value === e.target.value);
if (!sel) return;
dispatch(
setInferenceTaskInfo({
serviceType: sel.serviceType,
policyType: sel.policyType,
accelerationMode: sel.serviceType === 'groot'
? (info.accelerationMode || 'pytorch')
: 'pytorch',
accelerationEnginePath: sel.serviceType === 'groot'
? (info.accelerationEnginePath || '')
: '',
})
);
dispatch(markLocalTaskInfoEdited({ source: 'inference' }));
};
return (
<div className={clsx('flex', 'items-center', 'mb-2.5')}>
<span className={classLabel}>Model</span>
<select
className={clsx(
'flex-1',
'h-8',
'px-2',
'border',
'border-gray-300',
'rounded-md',
'focus:outline-none',
'focus:ring-2',
'focus:ring-blue-500',
'focus:border-transparent',
{
'bg-gray-100 cursor-not-allowed text-gray-500': readonly,
'bg-white': !readonly,
}
)}
value={value}
onChange={handleChange}
disabled={readonly}
>
{MODEL_GROUPS.map((group) => (
<optgroup key={group.label} label={group.label}>
{group.options.map((opt) => (
<option
key={opt.value}
value={opt.value}
disabled={Boolean(opt.comingSoon)}
>
{opt.label}
</option>
))}
</optgroup>
))}
</select>
</div>
);
};
export default InferenceModelSelector;
|