Error loading onnxjs from webpack about onnxjs HOT 18 OPEN

Mine is solved. Not very difficult to solve. The problem is related to ONNX.

Solution1(It should solve most people's problem, but I didn't use it):
One of the issues and solutions is ONNX does not support all the features of a Pytorch. Sometimes you have to degrade the version of ONNX to the older one to have certain features. On the other hand, you may find out the older version doesn't support another important feature. But trust me, you will find a better way to solve it, which is what I did when I was using on ReactJs.

Solution2
It was my solution that was about digging into ONNX itself. Thus, I suggest you talk to the ONNX coder to solve your issue.

Not that difficult to solve. Here is mine which is solved and runs perfectly🤣

If you have an interesting project. feel free to contact me. Maybe there is a possibility that I can solve it if I have free time on that day if it is running in Tensorflow, Kernes(TF2), or Pytorch.

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Can this be solved or not?

I am having same error using below code, which worked fine in onnxruntime python and CPP.

 <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/onnx.min.js"></script>
    <!-- Code that consume ONNX.js -->
    <script>
      // create a session
      const myOnnxSession = new onnx.InferenceSession();
      // load the ONNX model file
      myOnnxSession.loadModel("./200_0.19.onnx").then(() => {
        // generate model input
        // const inferenceInputs = getInputs();

        // console.log(inferenceInputs)
        // execute the model
        // myOnnxSession.run(inferenceInputs).then((output) => {
        //   // consume the output
        //   const outputTensor = output.values().next().value;
        //   console.log(`model output tensor: ${outputTensor.data}.`);
        // });
      });
    </script>

I built onnxjs using master branch of this repository, but still getting same error.

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what the heck guys, "I solved this" then no more details, or "Here's 2 solutions: one, I don't know if it works, and second one is talk the ONNX coder"

I was hoping for an actual solution to this...

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Repeating what I said above, the Shape operation was added after the latest version (v0.1.8) was released. We won't be able to use the Shape operation until a new version is released.

You can verify this by downloading the snapshot of the code for the release and see that it does not contain the file lib/ops/Shape.ts

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I still see this error using version 0.1.8.

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onnxjs-node cannot work in browser environments. it does not work with worker-loader either, as the latter is specifically targeting running in webworker.

supporting Shape is a known issue as referenced in #84

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The operator Shape is now available in version 0.1.8.

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The shape.ts file hit the master branch on Sep 1 but 0.1.8 was released on August 28, so maybe it just missed the cut to make it into 0.1.8?

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Mine is 0.1.8 too! I am not using a nodejs, but Reactjs.

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What backend are u using?
It's only implemented in the cpu backend.

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It was all backend failed. The problem is solved.

from onnxjs.

I do not understand your message, but good thing if it works.

from onnxjs.

Hi, I am using backendHint="cpu" with onnxjs 0.1.8 but got the same error

TypeError: cannot resolve operator 'Shape' with opsets: ai.onnx v9
    at Object.e.resolveOperator (onnx.min.js:1)
    at t.resolve (onnx.min.js:14)
    at e.initializeOps (onnx.min.js:14)
    at onnx.min.js:14
    at t.event (onnx.min.js:1)
    at e.initialize (onnx.min.js:14)
    at e.<anonymous> (onnx.min.js:14)
    at onnx.min.js:14
    at Object.next (onnx.min.js:14)
    at a (onnx.min.js:14)

@JonathanSum how did you solve the problem?
@28Smiles maybe any advices how to solve it?

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Uncaught (in promise) TypeError: cannot resolve operator 'SVMClassifier' with opsets: ai.onnx v9, ai.onnx.ml v

Built onnxjs with master branch & it seems that SVMClassifier is not supported ops for wasm.
(list of supported functions are mentioned)

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I also have same issue saying "Uncaught (in promise) TypeError: cannot resolve operator 'Shape' with opsets: ai.onnx v9".
Should I modify a model I using not to pass "shape" things???
I feel it will be ok if I can rewrite "Shape" to "ReShape" in the onnx model, but is this possible?
If not, I should retrain things right?

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@JonathanSum
Congratulations.
Is there any ported SVMClassifier ops that can be easily integrated with wasm_ops

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This is not necessarily a webpack issue (as far as I know)... there are multiple reasons why this error might occur. The most common reason is using really custom reshaping operation in your PyTorch's model definition in python... like x.view(-1, x.size(0)), or x.reshape(x.shape[0], ...) ....

What solved the issue for me is by making sure that your python code is saying explicit numbers (1, 2, 256, 512, ...)... not x.size(0)

For this, you might need to log every reshaping step and print the shapes, and then use those values to make reshaping explicit and convert the model again to onnx format.

Hope this finally helps 😪

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getting the TypeError: cannot resolve operator 'Shape' with opsets: ai.onnx v10
with a mobilenet model from onnx model zoo?

https://github.com/onnx/models/blob/master/vision/classification/mobilenet/model/mobilenetv2-7.onnx

using [email protected]

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