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inkeras-team/keras (press backspace or delete to remove)Hello,
I would like to get the inputs of a given layer linked to a previous layer.
My code with Keras 2.x was the following
def get_inputs(layer):
Get the inputs of a layer.
inputs = [] ...
type:support
jfthuong
- Opened yesterday
- #21205
In the class Embedding(Layer) keras/src/layers/core/embedding.py
def build(self, input_shape=None):
if self.built:
return
if self.quantization_mode is not None:
...
Fricker95
- Opened yesterday
- #21201
1. For a specific reason, I need to run some operations into specific device while keeping other operations runable
with global distribution. In torch, we can do .to(device_id) to place operations ...
keras-team-review-pending
type:feature
innat
- Opened 3 days ago
- #21190
When using a Keras SimpleRNN layer with stateful=True, the documentation states that a fixed batch size is required.
However, when a model is built with batch_size=N (e.g. 4), and later called with an ...
type:Bug
El3ssar
- Opened 6 days ago
- #21183
Inference with TimeDistributed(Dense(1, activation= sigmoid )) in Keras 3 is a lot slower than in Keras 2 (tf.keras)
Profiling shows TimeDistributed is the bottleneck.
Model: Conv1D → LSTM → Conv1DTranspose ...
type:performance
Moublrs
- 2
- Opened 6 days ago
- #21179
https://github.com/keras-team/keras/issues/21025#issuecomment-2808020133
The following code is tested with keras-nightly.
Basically two issue.
1.
import tensorflow as tf
import os
import numpy as ...
type:Bug
innat
- 1
- Opened 8 days ago
- #21173
It seems as though distributed training with keras version 3.7 and above with tensorflow isn t supported.
https://stackoverflow.com/questions/79285532/multi-gpu-training-in-tensorflow-results-in-nans?noredirect=1#comment140127186_79285532 ...
stat:awaiting response from contributor
type:Bug
DarrenR96
- 1
- Opened 8 days ago
- #21172
In tensorflow graph mode, RandAugment will repeatedly use the same augmentations, which were sampled during graph
tracing.
It relies on shuffling a python list using random.shuffle, which only works during ...
type:Bug
gregstarr
- 5
- Opened 8 days ago
- #21169
When using multiple GPUs (n 1) with a batch size that s not divisible by the number of GPUs, you ll encounter a
ZeroDivisionError. I understand that library needs to split the batch evenly across devices. ...
type:Bug
innat
- 4
- Opened 9 days ago
- #21167
Ordinarily, when serializing layers, we get a flat hierarchy in the resulting file. For example, the following code
@keras.saving.register_keras_serializable()
class TestModel(keras.Model):
def __init__(self, ...
stat:awaiting response from contributor
type:Bug
niels-leif-bracher
- 1
- Opened 9 days ago
- #21166

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