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I'm currently trying to load a tensorflow js model in a React app:

const modelPromise = tf.loadLayersModel('/assets/models/tfjs_model/model.json')

However, whenever I use the model I receive the error:

Model.jsx:10 Model load error _ValueError: An InputLayer should be passed either a `batchInputShape` or an `inputShape`.
at new InputLayer (@tensorflow_tfjs.js?v=d977a120:19467:15)
at fromConfig (@tensorflow_tfjs.js?v=d977a120:11535:12)
at deserializeKerasObject (@tensorflow_tfjs.js?v=d977a120:17336:25)
at deserialize (@tensorflow_tfjs.js?v=d977a120:20621:10)
at processLayer (@tensorflow_tfjs.js?v=d977a120:22010:21)
at fromConfig (@tensorflow_tfjs.js?v=d977a120:22024:7)
at deserializeKerasObject (@tensorflow_tfjs.js?v=d977a120:17336:25)
at deserialize (@tensorflow_tfjs.js?v=d977a120:20621:10)
at loadLayersModelFromIOHandler (@tensorflow_tfjs.js?v=d977a120:24066:18)

There is a batch_shape variable in the model.json file but when I change it the batchInputShape, I receive the error:

Model.jsx:10 Model load error _ValueError: Corrupted configuration, expected array for nodeData: [object Object]
at @tensorflow_tfjs.js?v=d977a120:22016:17
at Array.forEach (<anonymous>)
at processLayer (@tensorflow_tfjs.js?v=d977a120:22014:24)
at fromConfig (@tensorflow_tfjs.js?v=d977a120:22024:7)
at deserializeKerasObject (@tensorflow_tfjs.js?v=d977a120:17336:25)
at deserialize (@tensorflow_tfjs.js?v=d977a120:20621:10)
at loadLayersModelFromIOHandler (@tensorflow_tfjs.js?v=d977a120:24066:18)

Not sure how to resolve these errors.

Improve this question
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  • Considering the name of the method "loadLayersModel" and the error message, it is likely that the data needs to be an array, and you wrongly provided an object. Commented Jun 8 at 16:36
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