I have deep learning pipeline performing segmentation using DistributedDataParallel of Pytorch that some parts need to be fixed.
Budget: $30 – $250 USD
The validation phase is working but the training phase has a problem when I used DistributedDataParallel in Pytorch to use multiple GPUs.
At the moment the model performs one single task of segmentation but I need to change the architecture to perform two tasks of segmentation simultaneously.
-The model should run on multiple GPUs. (using Pytorch)
Single pipeline performing two tasks of segmentations simultaneously.
At the moment the model performs one single task of segmentation but I need to change the architecture to perform two tasks of segmentation simultaneously.
-The model should run on multiple GPUs. (using Pytorch)
Single pipeline performing two tasks of segmentations simultaneously.