# rocALmodels

**Repository Path**: mirrors_ROCmSoftwarePlatform/rocALmodels

## Basic Information

- **Project Name**: rocALmodels
- **Description**: TensorFlow models repository with RALI support
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-08-12
- **Last Updated**: 2026-05-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ROCALmodels
TensorFlow models repository with ROCAL support

## Steps to run SSD detection training for COCO2017 on a Rocm3.5 + TensorFlow 1.15 docker container:

### Outside the container:
```
cd $HOME
mkdir dockerMount
git clone https://github.com/LakshmiKumar23/ROCALmodels.git
sudo docker pull abishekr/mlperf_rocm3.5_tf1.15:v0.1.5
sudo docker run -it --network=host --memory=14G --device=/dev/kfd --device=/dev/dri --ipc=host --shm-size 16G --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $HOME/dockerMount:/media abishekr/mlperf_rocm3.5_tf1.15:v0.1.5
```

### Inside the container:
```
cd /media/ROCALmodels/models/research
./download_all.sh /media/ssdTraining/data/coco2017_tfrecords /media/ssdTraining/checkpoints
bash ./examples/SSD320_FP16_1GPU.sh /media/ssdTraining/checkpoints/ &> /media/ssdTraining/checkpoints/log.txt
```
The log is generated in log.txt.