While executing the following code embedded in html using WAMP stack
const model = tf.loadLayersModel('js/model.json');
I encounter the following errors in chrome
> Uncaught (in promise) TypeError: Failed to fetch
> platform_browser.ts:28 GET http://localhost/poemgenerator/js/group1-shard3of22.bin net::ERR_EMPTY_RESPONSE
> Uncaught (in promise) TypeError: Failed to fetch
I have all the group1-shard__of22.bin present at the mentioned location
During every run of the code, the ERR_EMPTY_RESPONSE is shown on different files.
The tfjs loaded using
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.7.2/dist/tf.min.js"></script>
PS:
While executing the code IDM starts downloading all the group1-shard__of22.bin files
I The model being loaded was created in python and is a tf.keras model. which has been converted using tfjs converter
Update :
I used the replaced the above code with
async function predict(){
const model = await tf.loadLayersModel('js/model.json');
model.summary()
}
And also removed IDM but it showed another errors :
> errors.ts:48 Uncaught (in promise) Error: Provided weight data has no target variable: lstm_3/lstm_cell_3/kernel
> (index):68 Uncaught TypeError: model.summary is not a function