Matthew Ernst

Hi @adarshm93 do you have a code snippet of your process?

@adarshm93 I'm not too familiar with the `MetaGraphDef` that comes back from `tf.saved_model.load` call but I don't believe there is an `update` attribute. I've tried on my end and got...

@adarshm93 I've attached a code snippet of what I think your process should be. I don't think we need the `update_ops_name` that you had mentioned in the first post. We...

@xiexiaozheng Thanks for raising this issue. As I mentioned in #2375, I think this should be updated in the `model_preparer`. Typically, this error occurs when an internal Keras Symbolic tensor...

Closing as this was resolved in #2411

@tensor1to5 Hi there, for `aimet_tensorflow.keras` with QAT training, we have to choose which model to compile depending on what QuantScheme is used. You can reference these jupyter notebook [QAT](https://github.com/quic/aimet/blob/develop/Examples/tensorflow/quantization/keras/qat.ipynb) and...

> Hi, we use the following code > > ``` > import tensorflow as tf > inputs = tf.keras.Input(shape=(16,32,3)) > x1 = tf.keras.layers.Dense(4, activation=tf.nn.relu)(inputs) > x2 = tf.transpose(x1, perm=[0, 1,...

@xiexiaozheng I just tried the below code and it was able to run. ```python import tensorflow as tf inputs = tf.keras.Input(shape=(16,32,3)) x1 = tf.keras.layers.Dense(4, activation=tf.nn.relu)(inputs) x2 = tf.transpose(x1, perm=[0, 1,...

@xiexiaozheng So a few things. First, I'm not sure you want to have the `query_encodings` like that. You set it to trainable but Keras will consume that and convert it...

> > @xiexiaozheng So a few things. First, I'm not sure you want to have the `query_encodings` like that. You set it to trainable but Keras will consume that and...