webgpu support
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@@ -13,13 +13,14 @@ import { Page } from '../components/Page';
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import { useNavigate } from 'react-router';
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import { RunButton } from '../components/RunButton';
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import { updateConfig } from '../apis';
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import { ConvertModel, FileExists, GetPyError } from '../../wailsjs/go/backend_golang/App';
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import { getStrategy } from '../utils';
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import { ConvertModel, ConvertSafetensors, FileExists, GetPyError } from '../../wailsjs/go/backend_golang/App';
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import { checkDependencies, getStrategy } from '../utils';
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import { useTranslation } from 'react-i18next';
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import { WindowShow } from '../../wailsjs/runtime/runtime';
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import strategyImg from '../assets/images/strategy.jpg';
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import strategyZhImg from '../assets/images/strategy_zh.jpg';
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import { ResetConfigsButton } from '../components/ResetConfigsButton';
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import { useMediaQuery } from 'usehooks-ts';
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export type ApiParameters = {
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apiPort: number
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@@ -56,6 +57,7 @@ export const Configs: FC = observer(() => {
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const [selectedIndex, setSelectedIndex] = React.useState(commonStore.currentModelConfigIndex);
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const [selectedConfig, setSelectedConfig] = React.useState(commonStore.modelConfigs[selectedIndex]);
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const [displayStrategyImg, setDisplayStrategyImg] = React.useState(false);
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const mq = useMediaQuery('(min-width: 640px)');
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const navigate = useNavigate();
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const port = selectedConfig.apiParameters.apiPort;
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@@ -128,7 +130,8 @@ export const Configs: FC = observer(() => {
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setSelectedIndex(0);
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setSelectedConfig(commonStore.modelConfigs[0]);
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}} />
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<ToolTipButton desc={t('Save Config')} icon={<Save20Regular />} onClick={onClickSave} />
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<ToolTipButton desc={mq ? '' : t('Save Config')} icon={<Save20Regular />} text={mq ? t('Save Config') : ''}
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onClick={onClickSave} />
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</div>
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<div className="flex items-center gap-4">
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<Label>{t('Config Name')}</Label>
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@@ -237,40 +240,84 @@ export const Configs: FC = observer(() => {
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}} />
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</div>
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} />
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<ToolTipButton text={t('Convert')}
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desc={t('Convert model with these configs. Using a converted model will greatly improve the loading speed, but model parameters of the converted model cannot be modified.')}
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onClick={async () => {
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if (commonStore.platform === 'darwin') {
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toast(t('MacOS is not yet supported for performing this operation, please do it manually.'), { type: 'info' });
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return;
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} else if (commonStore.platform === 'linux') {
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toast(t('Linux is not yet supported for performing this operation, please do it manually.'), { type: 'info' });
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return;
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}
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const modelPath = `${commonStore.settings.customModelsPath}/${selectedConfig.modelParameters.modelName}`;
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if (await FileExists(modelPath)) {
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const strategy = getStrategy(selectedConfig);
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const newModelPath = modelPath + '-' + strategy.replace(/[:> *+]/g, '-');
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toast(t('Start Converting'), { autoClose: 1000, type: 'info' });
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ConvertModel(commonStore.settings.customPythonPath, modelPath, strategy, newModelPath).then(async () => {
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if (!await FileExists(newModelPath + '.pth')) {
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toast(t('Convert Failed') + ' - ' + await GetPyError(), { type: 'error' });
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} else {
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toast(`${t('Convert Success')} - ${newModelPath}`, { type: 'success' });
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{
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selectedConfig.modelParameters.device !== 'WebGPU' ?
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<ToolTipButton text={t('Convert')}
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desc={t('Convert model with these configs. Using a converted model will greatly improve the loading speed, but model parameters of the converted model cannot be modified.')}
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onClick={async () => {
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if (commonStore.platform === 'darwin') {
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toast(t('MacOS is not yet supported for performing this operation, please do it manually.') + ' (backend-python/convert_model.py)', { type: 'info' });
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return;
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} else if (commonStore.platform === 'linux') {
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toast(t('Linux is not yet supported for performing this operation, please do it manually.') + ' (backend-python/convert_model.py)', { type: 'info' });
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return;
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}
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}).catch(e => {
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const errMsg = e.message || e;
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if (errMsg.includes('path contains space'))
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toast(`${t('Convert Failed')} - ${t('File Path Cannot Contain Space')}`, { type: 'error' });
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else
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toast(`${t('Convert Failed')} - ${e.message || e}`, { type: 'error' });
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});
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setTimeout(WindowShow, 1000);
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} else {
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toast(`${t('Model Not Found')} - ${modelPath}`, { type: 'error' });
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}
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}} />
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const ok = await checkDependencies(navigate);
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if (!ok)
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return;
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const modelPath = `${commonStore.settings.customModelsPath}/${selectedConfig.modelParameters.modelName}`;
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if (await FileExists(modelPath)) {
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const strategy = getStrategy(selectedConfig);
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const newModelPath = modelPath + '-' + strategy.replace(/[:> *+]/g, '-');
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toast(t('Start Converting'), { autoClose: 1000, type: 'info' });
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ConvertModel(commonStore.settings.customPythonPath, modelPath, strategy, newModelPath).then(async () => {
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if (!await FileExists(newModelPath + '.pth')) {
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toast(t('Convert Failed') + ' - ' + await GetPyError(), { type: 'error' });
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} else {
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toast(`${t('Convert Success')} - ${newModelPath}`, { type: 'success' });
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}
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}).catch(e => {
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const errMsg = e.message || e;
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if (errMsg.includes('path contains space'))
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toast(`${t('Convert Failed')} - ${t('File Path Cannot Contain Space')}`, { type: 'error' });
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else
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toast(`${t('Convert Failed')} - ${e.message || e}`, { type: 'error' });
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});
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setTimeout(WindowShow, 1000);
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} else {
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toast(`${t('Model Not Found')} - ${modelPath}`, { type: 'error' });
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}
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}} /> :
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<ToolTipButton text={t('Convert To Safe Tensors Format')}
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desc=""
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onClick={async () => {
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if (commonStore.platform === 'darwin') {
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toast(t('MacOS is not yet supported for performing this operation, please do it manually.') + ' (backend-python/convert_safetensors.py)', { type: 'info' });
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return;
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} else if (commonStore.platform === 'linux') {
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toast(t('Linux is not yet supported for performing this operation, please do it manually.') + ' (backend-python/convert_safetensors.py)', { type: 'info' });
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return;
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}
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const ok = await checkDependencies(navigate);
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if (!ok)
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return;
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const modelPath = `${commonStore.settings.customModelsPath}/${selectedConfig.modelParameters.modelName}`;
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if (await FileExists(modelPath)) {
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toast(t('Start Converting'), { autoClose: 1000, type: 'info' });
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const newModelPath = modelPath.replace(/\.pth$/, '.st');
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ConvertSafetensors(commonStore.settings.customPythonPath, modelPath, newModelPath).then(async () => {
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if (!await FileExists(newModelPath)) {
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toast(t('Convert Failed') + ' - ' + await GetPyError(), { type: 'error' });
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} else {
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toast(`${t('Convert Success')} - ${newModelPath}`, { type: 'success' });
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}
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}).catch(e => {
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const errMsg = e.message || e;
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if (errMsg.includes('path contains space'))
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toast(`${t('Convert Failed')} - ${t('File Path Cannot Contain Space')}`, { type: 'error' });
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else
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toast(`${t('Convert Failed')} - ${e.message || e}`, { type: 'error' });
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});
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setTimeout(WindowShow, 1000);
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} else {
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toast(`${t('Model Not Found')} - ${modelPath}`, { type: 'error' });
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}
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}} />
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}
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<Labeled label={t('Strategy')} content={
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<Dropdown style={{ minWidth: 0 }} className="grow" value={t(selectedConfig.modelParameters.device)!}
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selectedOptions={[selectedConfig.modelParameters.device]}
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@@ -285,7 +332,7 @@ export const Configs: FC = observer(() => {
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{commonStore.platform === 'darwin' && <Option value="MPS">MPS</Option>}
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<Option value="CUDA">CUDA</Option>
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<Option value="CUDA-Beta">{t('CUDA (Beta, Faster)')!}</Option>
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<Option value="WebGPU" disabled>WebGPU</Option>
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<Option value="WebGPU">WebGPU</Option>
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<Option value="Custom">{t('Custom')!}</Option>
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</Dropdown>
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} />
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@@ -305,7 +352,7 @@ export const Configs: FC = observer(() => {
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}}>
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<Option>fp16</Option>
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<Option>int8</Option>
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<Option>fp32</Option>
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{selectedConfig.modelParameters.device !== 'WebGPU' && <Option>fp32</Option>}
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</Dropdown>
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} />
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}
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@@ -353,7 +400,7 @@ export const Configs: FC = observer(() => {
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}
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{selectedConfig.modelParameters.device === 'Custom' && <div />}
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{
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selectedConfig.modelParameters.device !== 'CPU' && selectedConfig.modelParameters.device !== 'MPS' &&
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(selectedConfig.modelParameters.device.includes('CUDA') || selectedConfig.modelParameters.device === 'Custom') &&
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<Labeled label={t('Use Custom CUDA kernel to Accelerate')}
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desc={t('Enabling this option can greatly improve inference speed and save some VRAM, but there may be compatibility issues. If it fails to start, please turn off this option.')}
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content={
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