Convert pytorch code from using Data Parallelism (DP) to using Distributed Data Parallelism (DDP) for multiple GPUs machine learning.
Budget: $10 – $30 AUD
# I have Pytorch code for using multiple GPUs for machine learning.
# The code currently uses DP.
# I need you to modify the code such that it uses DDP instead, and utilise all GPUs onboard efficiently for training.
# The 3 GPUs onboard are:
# Nvidia RTX 3060
# Nvidia RTX 3060
# Nvidia P620 Quadro
# Use all three GPUs to train, using DDP please (not DP).
# Operating system: Ubuntu
# Deadline: 1 day
# Budget: AU$10 paid at completion of satisfactory job.
I am looking for a PyTorch expert who can convert my existing code from using Data Parallelism (DP) to using Distributed Data Parallelism (DDP) for multiple GPUs machine learning. The ideal candidate should have experience with PyTorch , PyCharm under Ubuntu, and be familiar with the concepts of DDP.
Skills and Experience:
- Proficient in PyTorch
- Strong understanding of Distributed Data Parallelism (DDP)
- Experience with multiple GPUs machine learning
- Familiarity with optimizing processing times in PyTorch
The main objective of this project is to achieve faster processing times by converting to DDP. The client is open to any method of communication for discussing technical details.
# The code currently uses DP.
# I need you to modify the code such that it uses DDP instead, and utilise all GPUs onboard efficiently for training.
# The 3 GPUs onboard are:
# Nvidia RTX 3060
# Nvidia RTX 3060
# Nvidia P620 Quadro
# Use all three GPUs to train, using DDP please (not DP).
# Operating system: Ubuntu
# Deadline: 1 day
# Budget: AU$10 paid at completion of satisfactory job.
I am looking for a PyTorch expert who can convert my existing code from using Data Parallelism (DP) to using Distributed Data Parallelism (DDP) for multiple GPUs machine learning. The ideal candidate should have experience with PyTorch , PyCharm under Ubuntu, and be familiar with the concepts of DDP.
Skills and Experience:
- Proficient in PyTorch
- Strong understanding of Distributed Data Parallelism (DDP)
- Experience with multiple GPUs machine learning
- Familiarity with optimizing processing times in PyTorch
The main objective of this project is to achieve faster processing times by converting to DDP. The client is open to any method of communication for discussing technical details.