Comments (5)
@hosford42 who is the original reporter of the issue here.
from tf-keras.
I think the root cause here is the mix usage of lambda and for loop here, which is particularly errorprone.
The for loop cause the lambda function that captured by the lambda layer to be always the last loop step. You can actually verify this by visiting the labmda_layer.function.
If I change your model building function as below (without the for loop), it will actually run properly.
def slice_func_0_2(x):
return x[..., 0:2]
def slice_func_2_5(x):
return x[..., 2:5]
i = tf.keras.layers.Input((channels,), name='i')
o1 = tf.keras.layers.Lambda(slice_func_0_2, name="slice_0_2")(i)
o2 = tf.keras.layers.Lambda(slice_func_2_5, name="slice_2_5")(i)
o = [o1, o2]
m = tf.keras.Model(i, o, name='m')
from tf-keras.
I am closing this issue since this is a user code error. Feel free to reopen this if there is anything else we need to address.
In general, please take a look for https://gist.github.com/gisbi-kim/2e5648225cc118fc72ac933ef63c2d64 for pitfall for using lambda in a loop.
from tf-keras.
from tf-keras.
from tf-keras.
Related Issues (20)
- Error while importing tf_keras HOT 11
- shape issue for y_pred for a custom made loss function HOT 3
- UNIMPLEMENTED: Cast string to float is not supported; CANCELLED: Function was cancelled before it was started HOT 3
- TextVectorization: output_mode={multi_hot, count} promise int arrays but output floats
- Cloning a TextVectorization Layer with Split Function Doesn't Work HOT 6
- Mirrored strategy model.load_weights() failure HOT 2
- sparse_categorical_crossentropy with ignore_class=-1 makes loss to `nan` HOT 3
- Importing `tf_keras` to use Keras 2 in TensorFlow 2.16 fails HOT 9
- Addition of Reflect Padding Functionality for tf.keras Convolutional Layers HOT 2
- AttributeError: module 'tf_keras.backend' has no attribute 'logsumexp' HOT 6
- Custom Keras RNN with constants changes constants shape when saving HOT 3
- ValueError: (F1Score|FBetaScore) expects 2D inputs with shape (batch_size, output_dim). HOT 8
- LSTM - different outputs for same weights across CPU and GPU, when using float32 + tf-keras + NVIDIA A100 HOT 4
- RetinaNet with custom backbone and custom dataset HOT 3
- IntegerLookup with XLA Compilation Fails to Enable JIT in TensorFlow 2.16.1 and Keras 3.2.1 HOT 3
- conda-forge release HOT 1
- Failed to build Python package due to missing layer/experimental build HOT 2
- TF-Keras mixed precision training leads to autograph errors HOT 4
- Showing warning just after importing tf_keras HOT 4
- Error loading the trained model. HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from tf-keras.