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The attached example shows a Keras model with a single layer LSTM that is converted to a loop instead of the expected ONNX LSTM op.
Test system configuration:
Using `tensorflow/tensorflow:2.7.1` d…
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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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Prior to filing: check that this should be a bug instead of a feature request. Everything supported, including the compatible versions of TensorFlow, is listed in the overview page of each technique. …
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Is it correct that there is no support for 'vanilla' RNN layers, e.g. that of torch.nn.RNN? Is the reason for this something like 'GRU or LSTM is better anyway, just use that'?
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I'm simply having an Import error
Try running this code
```
>>> from keras_vggface import utils
Traceback (most recent call last):
....
ImportError: cannot import name 'layer_utils' from 'kera…
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I am converting the modules of a transformer model from pytorch to tflite. Here is my conversion code -
```
sample_input = torch.randint(low=0, high=60, size =(1, 32, 512), dtype=torch.float)
s…
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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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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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Traceback (most recent call last):
File "/Users/hanjianyu/Baidu/SUSTechPOINTS/main.py", line 131, in
from algos import pre_annotate as pre_annotate
File "/Users/hanjianyu/Baidu/SUSTechPOIN…
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I'm trying to convert a Keras model with [IntegerLookup](https://www.tensorflow.org/api_docs/python/tf/keras/layers/IntegerLookup) and [StringLookup](https://www.tensorflow.org/api_docs/python/tf/kera…