/*@jsxRuntime automatic @jsxImportSource react*/
const {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0];
function MDXContent(props = {}) {
  const {wrapper: MDXLayout} = props.components || ({});
  return MDXLayout ? _jsx(MDXLayout, Object.assign({}, props, {
    children: _jsx(_createMdxContent, {})
  })) : _createMdxContent();
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      p: "p",
      code: "code",
      pre: "pre",
      span: "span",
      a: "a"
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    return _jsxs(_Fragment, {
      children: [_jsxs(_components.p, {
        children: ["When wanting to work with AI models on my latest Macbook Pro 2021 with M1 Architecture, I received the following error while running ", _jsx(_components.code, {
          children: "pip install onnxruntime"
        }), ":"]
      }), "\n", _jsx(_components.pre, {
        children: _jsx(_components.code, {
          className: "code-highlight",
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            className: "code-line",
            children: "ERROR: Could not find a version that satisfies the requirement onnxruntime>=1.10.0 (from tinx) (from versions: none)\n"
          })
        })
      }), "\n", _jsxs(_components.p, {
        children: ["After doing some research, this error was not unknown. But how can we now get it resolved on this Macbook? When we look at the GitHub repository of ", _jsx(_components.a, {
          href: "https://github.com/microsoft/onnxruntime/releases/tag/v1.10.0",
          children: "onnxruntime"
        }), " we can see that an OSX version is actually being released."]
      }), "\n", _jsxs(_components.p, {
        children: ["Luckily, PyPi has a \"Test\" repository as well which we should try when the normal doesn't work, as it often hosts packages that are not found on the public one yet. So we can simply run the below which will install ", _jsx(_components.code, {
          children: "onnxruntime"
        }), ". Note, that we install ", _jsx(_components.code, {
          children: "flatbuffers"
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              children: "# ONNX Depends on this, so we should first install it"
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      }), "\n", _jsxs(_components.p, {
        children: ["If we now run the below, we will see the ", _jsx(_components.code, {
          children: "onnxruntime"
        }), " printed and we will be able to infer AI models on our Macbook."]
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        className: "language-python",
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}
return {
  default: MDXContent
};


Getting ONNX to work on your Macbook is tricky as it throws back quite some errors. Learn here how you can get it working

Xavier Geerinck

Running ONNX with onnruntime on your M1 Mac

Are you struggling with testing and integrating AI into your product?

Are you struggling with testing and integrating AI into your product?