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**Describe the bug**
When we try to quantize a model containing a `TFOpLambda` layer, an AttributeError `'list' object has no attribute 'dtype'` would occur.
**System information**
TensorFlow…
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import numpy as np
import tensorflow as tf
from tf_explain.core.grad_cam import GradCAM
import matplotlib.pyplot as plt
# Initialize Grad-CAM explainer
explainer = GradCAM()
# Specify the la…
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### Issue Type
Documentation Bug
### Source
source
### Keras Version
2.14
### Custom Code
Yes
### OS Platform and Distribution
Ubuntu 22.04
### Python version
3.10
…
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create an encoder-decoder model:
```Python
def get_encoder(input_shape):
input_tensor = keras.Input(input_shape, dtype='float32')
x1 = keras.layers.Conv2D(8, 3, padding='same')(input_ten…
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I tested all of the models and they all worked fine, except the vnet_2d:
model.vnet_2d((128, 128, 3), filter_num=[64, 128, 256, 512], n_labels=7,
res_num_ini…
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In Keras 3, changing the number of replicas during distributed training/evaluation changes the output of the model:
``` python
import tensorflow as tf
import keras
# import tf_keras as keras
…
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When running a script which is using the following libraries
```
import os
import sys
import json
import numpy as np
import pandas as pd
import logging
import tensorflow as tf
from sklearn.…
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## Feature Request: Implement a Keras-Like API
**Description:**
I would like to propose the addition of a high-level Keras-like API to our Rust crate. This API would provide a more intuitive and…
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I've tried to reproduce the experiment in my local environment, but even main.py will not execute to completion. The crashing occurs either when reading the ResNet56 model or when importing the keras …
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Models `h`,`j` fail.
When running all the models with
```
for model in ("a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k"):
cmd = f"timeout 125m predict.py -m {model} -g 2 -c ."
wi…