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Bug
source
3.6.0
Yes
Linux Ubuntu 24.04
3.10.15
NVIDIA GeForce RTX 4060 8GB
The decoded sentence is the same as the input sentence
https://colab.research.google.com/drive/1NYqZTX0Cn4Gw4mRLt1hPUfXPIV0odrLs?usp=sharing
encoder_input_tokens = [[ 34. 1082. 119. 71. 72. 177. 11. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] generated_tokens = [[ 2. 1082. 119. 568. 72. 177. 11. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]] ** Example 0 ** i grew up in that house. diciendo tengo manera ú ese )
The text was updated successfully, but these errors were encountered:
sachinprasadhs
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Issue Type
Bug
Source
source
Keras Version
3.6.0
Custom Code
Yes
OS Platform and Distribution
Linux Ubuntu 24.04
Python version
3.10.15
GPU model and memory
NVIDIA GeForce RTX 4060 8GB
Current Behavior?
The decoded sentence is the same as the input sentence
Standalone code to reproduce the issue or tutorial link
https://colab.research.google.com/drive/1NYqZTX0Cn4Gw4mRLt1hPUfXPIV0odrLs?usp=sharing
Relevant log output
The text was updated successfully, but these errors were encountered: