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I'm wondering how I can create a quantization configuration for a custom layer (which implements the keras layer class) where my custom layer is composed of other standard keras layers (such as Conv2D…
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Hi!
I am trying to use RetVec as an embedding layer for a email spam classification project. When the RetVecTokenizer function is called, I get a Value Error which is described below:
File forma…
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Sir/ma'am
When the user fits a non-sequential models (as in the case of multi-branch models), a graph execution error is encountered.
In particular no error is encountered with the model declaration…
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DeepExplainer can't handle the GlobalMaxPooling layer but it can handle the GlobalAveragePooling layer.
```
inp = layers.Input((1250,21,1))
out = layers.GlobalMaxPooling2D()(inp) # works with Glo…
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### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
2.13
### Custom code
Yes
### OS platform and dist…
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The error comes up when running locally, but not in colab.
The problematic cell is the no.22 in the solution notebook. and for reference, here's the code
```
### Defining a network Layer ###
…
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Click to expand!
### Issue Type
Bug
### Source
binary
### Tensorflow Version
tf-gpu 2.6
### Custom Code
Yes
### OS Platform and Distribution
_No response_
### Mobile device
_No response…
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## 🐞Describing the bug
- Make sure to only create an issue here for bugs in the coremltools Python package. If this is a bug with the Core ML Framework or Xcode, please submit your bug here: https://…
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```
class MyModel(tf.keras.Model):
def __init__(self, vocab_size, embedding_dim, rnn_units):
super().__init__(self)
self.embedding = tf.keras.layers.Embedding(vocab_size, embedding_dim)
…
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### Description
ILayer forwardLayer = keras.layers.LSTM(units: 10, activation: keras.activations.Sigmoid, return_sequences: true, go_backwards: false);
ILayer backwardlayer =…