Fixing memory leak while Tensorflow inferencing in GPU

Job ID: 37000256

Budget: $30 – $250 USD

I am looking for a freelancer who can help me with Tensorflow inference in GPU. Here are the details of the project:

I currently possess a Python script that can sort images through inferencing on a GPU. It functions effectively when sorting a smaller number of images. However, when processing a larger quantity of 20,000+ images, a noticeable CPU memory leak occurs. The purpose of this project is to address this memory leak issue. I will provide the script and test data for troubleshooting purposes.


GPU Requirement:
- I need a freelancer who has NVIDIA GeForce GPUs so that he/she can do the development and testing.

Skills and Experience Required:
- Strong knowledge and experience in Tensorflow and GPU programming.
- Proficiency in working with labelled datasets for inference.
- Prior experience in utilizing NVIDIA GeForce GPUs for deep learning tasks.
- Familiarity with image processing and computer vision techniques.
- Ability to optimize and fine-tune for efficient GPU inference.

If you meet the above requirements and have the necessary skills and experience, please bid on this project.
Related categories: Python CUDA Machine Learning (ML)