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Copy pathfetch_models.js
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233 lines (226 loc) · 8.87 KB
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import fetch from "node-fetch";
import fs from "fs";
import path from "path";
import ProgressBar from "progress";
import { fileURLToPath } from "url";
import { dirname } from "path";
// Uncomment the following line if proxy is required to fetch files in your network
// import { HttpsProxyAgent } from 'https-proxy-agent';
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const models = [
{
url: "xenova/resnet-50/resolve/main/onnx/model_fp16.onnx",
path: "./demos/image-classification/models/xenova/resnet-50/onnx",
},
{
url: "webnn/mobilenet-v2/resolve/main/onnx/model_fp16.onnx",
path: "./demos/image-classification/models/webnn/mobilenet-v2/onnx",
},
{
url: "webnn/efficientnet-lite4/resolve/main/onnx/model_fp16.onnx",
path: "./demos/image-classification/models/webnn/efficientnet-lite4/onnx",
},
{
url: "webnn/sd-turbo-webnn/resolve/main/onnx/text_encoder_model_f16.onnx",
path: "./demos/sd-turbo/models/onnx",
},
{
url: "webnn/sd-turbo-webnn/resolve/main/onnx/unet_model_f16.onnx",
path: "./demos/sd-turbo/models/onnx",
},
{
url: "webnn/sd-turbo-webnn/resolve/main/onnx/vae_decoder_model_f16.onnx",
path: "./demos/sd-turbo/models/onnx",
},
{
url: "webnn/sd-turbo-webnn/resolve/main/onnx/safety_checker_model_f16.onnx",
path: "./demos/sd-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/text_encoder_model_q4f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/text_encoder_model_qdq_q4f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/text_encoder_2_model_q4f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/text_encoder_2_model_qdq_q4f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/unet_model_q4f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/unet_model_qdq_q4f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/vae_decoder_model_q4f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/vae_decoder_model_qdq_q4f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/safety_checker_model_f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/concat_model_f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/latents_model_f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/sdxl-turbo/resolve/main/onnx/scheduler_model_f16.onnx",
path: "./demos/sdxl-turbo/models/onnx",
},
{
url: "webnn/stable-diffusion-v1.5-webnn/resolve/main/onnx/text_encoder_model_f16.onnx",
path: "./demos/stable-diffusion-1.5/models/onnx",
},
{
url: "webnn/stable-diffusion-v1.5-webnn/resolve/main/onnx/unet_model_f16.onnx",
path: "./demos/stable-diffusion-1.5/models/onnx",
},
{
url: "webnn/stable-diffusion-v1.5-webnn/resolve/main/onnx/vae_decoder_model_f16.onnx",
path: "./demos/stable-diffusion-1.5/models/onnx",
},
{
url: "webnn/stable-diffusion-v1.5-webnn/resolve/main/onnx/safety_checker_model_f16.onnx",
path: "./demos/stable-diffusion-1.5/models/onnx",
},
{
url: "webnn/segment-anything-model-webnn/resolve/main/sam_vit_b_01ec64.encoder-fp16.onnx",
path: "./demos/segment-anything/models",
},
{
url: "webnn/segment-anything-model-webnn/resolve/main/sam_vit_b_01ec64.decoder-orig-img-size-dynamic-fp16.onnx",
path: "./demos/segment-anything/models",
},
{
url: "webnn/segment-anything-model-webnn/resolve/main/sam_vit_b-encoder-int8.onnx",
path: "./demos/segment-anything/models",
},
{
url: "webnn/segment-anything-model-webnn/resolve/main/sam_vit_b-decoder-orig-img-size-dynamic-int8.onnx",
path: "./demos/segment-anything/models",
},
{
url: "webnn/whisper-base-webnn/resolve/main/whisper_base_decoder_static_kvcache_128_lm_fp16_layernorm_gelu_4dmask_iobinding.onnx",
path: "./demos/whisper-base/models",
},
{
url: "webnn/whisper-base-webnn/resolve/main/whisper_base_decoder_static_non_kvcache_lm_fp16_layernorm_gelu_4dmask_iobinding.onnx",
path: "./demos/whisper-base/models",
},
{
url: "webnn/whisper-base-webnn/resolve/main/whisper_base_encoder_lm_fp16_layernorm_gelu.onnx",
path: "./demos/whisper-base/models",
},
{
url: "webnn/Phi-4-mini-instruct-onnx-webnn/resolve/main/onnx/model.onnx",
path: "./demos/text-generation/microsoft/Phi-4-mini-instruct-onnx-webnn/models",
},
{
url: "webnn/Phi-4-mini-instruct-onnx-webnn/resolve/main/onnx/model.onnx.data",
path: "./demos/text-generation/microsoft/Phi-4-mini-instruct-onnx-webnn/models",
},
{
url: "webnn/TinyLlama-1.1B-Chat-v1.0-onnx/resolve/main/onnx/model_fp16.onnx",
path: "./demos/text-generation/TinyLlama/TinyLlama-1.1B-Chat-v1.0/models",
},
{
url: "webnn/TinyLlama-1.1B-Chat-v1.0-onnx/resolve/main/onnx/model.onnx.data",
path: "./demos/text-generation/TinyLlama/TinyLlama-1.1B-Chat-v1.0/models",
},
{
url: "webnn/Qwen2-0.5B-Instruct-onnx/resolve/main/onnx/model_fp16.onnx",
path: "./demos/text-generation/Qwen/Qwen2-0.5B-Instruct/models",
},
{
url: "webnn/Qwen2-0.5B-Instruct-onnx/resolve/main/onnx/model.onnx.data",
path: "./demos/text-generation/Qwen/Qwen2-0.5B-Instruct/models",
},
{
url: "webnn/DeepSeek-R1-Distill-ONNX/resolve/main/onnx/model_fp16.onnx",
path: "./demos/text-generation/onnxruntime/DeepSeek-R1-Distill-ONNX/models",
},
{
url: "webnn/DeepSeek-R1-Distill-ONNX/resolve/main/onnx/model.onnx.data",
path: "./demos/text-generation/onnxruntime/DeepSeek-R1-Distill-ONNX/models",
},
{
url: "webnn/stem-separator/resolve/main/onnx/htdemucs_fwd.onnx",
path: "./demos/stem-separator/models",
},
{
url: "webnn/stem-separator/resolve/main/onnx/htdemucs_fwd.onnx.data",
path: "./demos/stem-separator/models",
},
];
const downloadFile = async (url, outputPath, retries = 2) => {
// Proxy configuration
// const proxyHost = '';
// const proxyPort = 8080;
// const proxyUrl = `http://${proxyHost}:${proxyPort}`;
const proxyAgent = undefined;
// Enable this line to use the proxy:
// const proxyAgent = new HttpsProxyAgent(proxyUrl);
try {
const response = await fetch(url, { agent: proxyAgent });
if (response.ok) {
const totalLength = response.headers.get("content-length");
const progressBar = new ProgressBar("-> downloading [:bar] :percent :etas", {
width: 40,
complete: "=",
incomplete: " ",
renderThrottle: 1,
total: parseInt(totalLength),
});
const fileStream = fs.createWriteStream(outputPath);
response.body.on("data", chunk => progressBar.tick(chunk.length));
response.body.pipe(fileStream);
return new Promise((resolve, reject) => {
fileStream.on("finish", resolve);
fileStream.on("error", reject);
});
} else {
throw new Error(`HTTP error! Status: ${response.status} ${response.statusText}`);
}
} catch (error) {
if (retries === 0) {
console.error(`Failed to download ${url} after multiple attempts`, error);
throw error;
} else {
console.warn(`Retrying download for ${url} (${retries} retries left)`);
return downloadFile(url, outputPath, retries - 1);
}
}
};
(async () => {
let i = 1;
for (const model of models) {
const outputPath = path.join(__dirname, model.path, path.basename(model.url));
fs.mkdirSync(path.dirname(outputPath), { recursive: true });
console.log(`[${i}/${models.length}] Downloading https://huggingface.co/${model.url} to ${outputPath}`);
try {
await downloadFile(`https://huggingface.co/${model.url}`, outputPath);
console.log(`[${i}/${models.length}] Downloaded https://huggingface.co/${model.url} to ${outputPath}`);
} catch (error) {
console.error(`Failed to download https://huggingface.co/${model.url}`, error);
}
i++;
}
})();