401 in "loadModel" when securing directory via .htaccess

[xam-ps]

TensorFlow.js version

All versions

Browser version

All Browsers

Describe the problem or feature request

When served from a directory which is secured via .htaccess user and password the fetch function in "loadModel" is not working (response from server is 401). I think the function should use the option credentials: 'same-origin'.

[tafsiri]

cc @caisq is there a way to pass credentials (or other options to fetch)?

[xam-ps]

From MDN:

By default, fetch won't send or receive any cookies from the server, resulting in unauthenticated requests if the site relies on maintaining a user session (to send cookies, the credentials init option must be set).`

credentials: The request credentials you want to use for the request: omit, same-origin, or include. To automatically send cookies for the current domain, this option must be provided.

[caisq]

To pass credentials and other parameters for fetch during tf.loadModel calls, you can try the following. await tf.loadModel(tf.io.browserHTTPRequest(url, {credentials: 'same-origin'}));

[xam-ps]

Still getting an 401.

Even gave credentials: 'include' a try, didn't work either.

[xam-ps]

Just tested the solution from @caisq in Firefox, there it is working.

[xam-ps]

Issue was solved in Version 0.12.0