cannot resolve operator 'Cast' with opsets: ai.onnx v17 [Web]

[SpadgerBoy]

Describe the issue

I am using https://github.com/microsoft/onnxruntime-web-demo When testing my model, this issue occurred. My onnx was exported from pytorch 2.1.0+cu11.8, and I am not sure if it is a version compatibility issue.
This issue occurs in the async initSession() function.
I am using https://github.com/microsoft/onnxruntime-inference-examples/blob/main/js/quick-start_onnxruntime-web-bundler The sample method in did not encounter this issue when loading my onnx model,

To reproduce

My onnx model has also been uploaded in zip。
model.zip
my initSession（）function is following:
async initSession() {
const node_emb = [0.016612321138381958, 0.32479220628738403, -0.17480510473251343, 0.22171857953071594, -0.03362815082073212, -0.5541449189186096, -0.2134913206100464, 0.2579418420791626, 0.028158824890851974, -0.213491290807724, 0.2579419016838074, 0.028158817440271378, -0.29980212450027466, 0.05575799569487572, 0.13522188365459442, 0.0867883488535881, -0.236801415681839, -0.4331217110157013, 0.32896843552589417, 0.2346162348985672, -0.2873727083206177, -0.23857513070106506, -0.17035554349422455, 0.1389528214931488, -0.38259392976760864, 0.3879542648792267, 0.037937164306640625, 0.49905404448509216, 0.11682555079460144, 0.37333834171295166, -0.14307904243469238, -0.4935119152069092, 0.05580680072307587, 0.3595126271247864, 0.10027752816677094, 0.3577460050582886, -0.07288319617509842, -0.29953575134277344, 0.03781317174434662, 0.2026776224374771, -0.1408967673778534, 0.2797025144100189, -0.0728832334280014, -0.29953569173812866, 0.037813249975442886];
const node_level = [1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 4, 4, 4, 4];
const pos = [-0.6719708442687988, -0.17349961400032043, -0.07278412580490112, -0.4342332184314728, 0.565944254398346, 1.124698519706726, 1.1682472229003906, 0.679757833480835, 0.7840494513511658, 0.9343644380569458, 0.8223643898963928, 0.09227360785007477, -0.47061389684677124, 0.07232263684272766, -0.8676600456237793, -0.5899250507354736, -1.1705106496810913, 0.401921808719635, 0.01343536376953125, -0.16409379243850708, 0.678995668888092, -0.49010971188545227, -1.7985889911651611, -1.0793498754501343, -0.476369708776474, 0.26042065024375916, 0.16324150562286377, 0.22609102725982666, 1.3322205543518066, -0.8606394529342651];
const edge_index = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 0, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 0, 3, 4, 5, 6, 7, 8, 10, 12, 13, 14, 0, 2, 4, 5, 6, 7, 8, 10, 12, 13, 14, 0, 2, 3, 5, 6, 7, 8, 10, 12, 13, 14, 0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 12, 13, 14, 0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 13, 0, 1, 2, 3, 4, 5, 8, 9, 10, 12, 13, 14, 0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 0, 1, 5, 6, 7, 8, 10, 11, 12, 13, 14, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 0, 1, 6, 9, 10, 13, 0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 13, 14, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 12, 13];
const edge_type = [2, 2, 2, 2, 3, 1, 3, 1, 2, 2, 3, 3, 3, 3, 2, 1, 1, 3, 3, 2, 2, 3, 3, 3, 3, 2, 2, 2, 3, 3, 3, 1, 2, 3, 3, 3, 2, 2, 2, 3, 3, 3, 1, 2, 3, 3, 3, 2, 2, 2, 3, 3, 1, 1, 2, 3, 3, 3, 3, 1, 3, 3, 3, 2, 2, 2, 3, 1, 2, 2, 2, 1, 1, 3, 3, 3, 2, 2, 1, 3, 2, 2, 3, 3, 3, 3, 1, 2, 2, 3, 1, 2, 2, 2, 1, 3, 1, 1, 1, 2, 2, 2, 3, 1, 2, 2, 2, 2, 2, 3, 1, 3, 3, 2, 1, 3, 1, 3, 2, 2, 2, 2, 2, 1, 3, 1, 1, 2, 3, 1, 1, 1, 3, 3, 2, 1, 3, 2, 3, 3, 3, 3, 3, 2, 2, 2, 3, 1, 2, 2, 3, 3, 3, 3, 3, 2, 2, 2, 2, 1, 1, 2, 2, 2, 3, 3, 3, 3, 3, 2, 2, 2, 3, 1, 2, 2];

const N = 15;
const E = 176;

const node_emb_tensor = new Tensor('float32', node_emb, [N, 3]);
const node_level_tensor = new Tensor('int64', node_level, [N, 1]);
const pos_tensor = new Tensor('float32', pos, [N, 2]);
const edge_index_tensor = new Tensor('int64', edge_index, [2, E]);
const edge_type_tensor = new Tensor('int64', edge_type, [E]);

const datas = [node_emb_tensor, node_level_tensor, pos_tensor, edge_index_tensor, edge_type_tensor];
this.sessionRunning = false;
this.modelLoadingError = false;
if (this.sessionBackend === "webgl") {
  if (this.gpuSession) {
    this.session = this.gpuSession;
    return;
  }
  this.modelLoading = true;
  this.modelInitializing = true;
}
if (this.sessionBackend === "wasm") {
  if (this.cpuSession) {
    this.session = this.cpuSession;
    return;
  }
  this.modelLoading = true;
  this.modelInitializing = true;
}

try {
  if (this.sessionBackend === "webgl") {
    this.gpuSession = await runModelUtils.createModelGpu(this.modelFile);
    this.session = this.gpuSession;
  } else if (this.sessionBackend === "wasm") {
    this.cpuSession = await runModelUtils.createModelCpu(this.modelFile);
    this.session = this.cpuSession;
  }
} catch (e) {
  console.log('loading error：', e);
  this.modelLoading = false;
  this.modelInitializing = false;
  if (this.sessionBackend === "webgl") {
    this.gpuSession = undefined;
  } else {
    this.cpuSession = undefined;
  }
  throw new Error("Error: Backend not supported. ");
}
this.modelLoading = false;
// warm up session with a sample tensor. Use setTimeout(..., 0) to make it an async execution so that UI update can be done.
if (this.sessionBackend === "webgl") {
  setTimeout(() => {
    runModelUtils.warmupModel(this.session!, datas);
    // runModelUtils.warmupModel(this.session!, [1,3,this.imageSize,this.imageSize,]);
    this.modelInitializing = false;
  }, 0);
} else {
  await runModelUtils.warmupModel(this.session!, datas);
  // await runModelUtils.warmupModel(this.session!, [1,3,this.imageSize,this.imageSize,]);
  this.modelInitializing = false;
}

}

Urgency

I hope to receive help as soon as possible. I don't have much time left

ONNX Runtime Installation

Released Package

ONNX Runtime Version or Commit ID

"onnxruntime-web": "1.8.0-dev.20210708.0",

Execution Provider

'webgl' (WebGL), 'wasm'/'cpu' (WebAssembly CPU)

[github-actions]

This issue has been automatically marked as stale due to inactivity and will be closed in 30 days if no further activity occurs. If further support is needed, please provide an update and/or more details.