update docs/tutorials with AMD GPU/rocm references

Signed-off-by: Vicky Tsang <vtsang@amd.com>

Author: vickytsang

docs/source/getting_started/tutorials/mednist_app.md

@@ -88,6 +88,14 @@ monai-deploy package examples/apps/mednist_classifier_monaideploy/mednist_classi
     --model classifier.zip \
     -l DEBUG
 
+# For AMD GPUs, nvidia-docker is not required. Use --base [base image] option to override the docker base image.
+# Please see https://hub.docker.com/r/rocm/pytorch for rocm/pytorch docker images.
+monai-deploy package -b rocm/pytorch:rocm5.4.1_ubuntu20.04_py3.7_pytorch_1.12.1 \
+    examples/apps/mednist_classifier_monaideploy/mednist_classifier_monaideploy.py \
+    --tag mednist_app:latest \
+    --model classifier.zip \
+    -l DEBUG
+
 # Run the app with docker image and input file locally
 monai-deploy run mednist_app:latest input output
 cat output/output.json

docs/source/getting_started/tutorials/monai_bundle_app.md

@@ -66,6 +66,10 @@ monai-deploy exec ../examples/apps/ai_spleen_seg_app/app.py -i dcm/ -o output -m
 # Please see https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker to install nvidia-docker2.
 monai-deploy package examples/apps/ai_spleen_seg_app --tag seg_app:latest --model model.ts -l DEBUG
 
+# For AMD GPUs, nvidia-docker is not required. Use --base [base image] option to override the docker base image.
+# Please see https://hub.docker.com/r/rocm/pytorch for rocm/pytorch docker images.
+monai-deploy package -b rocm/pytorch:rocm5.4.1_ubuntu20.04_py3.7_pytorch_1.12.1 examples/apps/ai_spleen_seg_app --tag seg_app:latest --model model.ts -l DEBUG
+
 # Run the app with docker image and input file locally
 monai-deploy run seg_app:latest dcm/ output
 ```

docs/source/getting_started/tutorials/multi_model_app.md

@@ -66,6 +66,10 @@ monai-deploy exec ../examples/apps/examples/apps/ai_multi_ai_app/app.py -i dcm/
 # Please see https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker to install nvidia-docker2.
 monai-deploy package -b nvcr.io/nvidia/pytorch:22.08-py3 examples/apps/ai_multi_ai_app --tag multi_model_app:latest --model multi_models -l DEBUG
 
+# For AMD GPUs, nvidia-docker is not required. Use --base [base image] option to override the docker base image.
+# Please see https://hub.docker.com/r/rocm/pytorch for rocm/pytorch docker images.
+monai-deploy package -b rocm/pytorch:rocm5.4.1_ubuntu20.04_py3.7_pytorch_1.12.1 examples/apps/ai_multi_ai_app --tag multi_model_app:latest --model multi_models -l DEBUG
+
 # Run the app with docker image and input file locally
 monai-deploy run multi_model_app:latest dcm/ output
 ```

docs/source/getting_started/tutorials/segmentation_app.md

@@ -76,6 +76,10 @@ python examples/apps/ai_spleen_seg_app/app.py -i dcm/ -o output -m model.ts
 # Please see https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker to install nvidia-docker2.
 monai-deploy package examples/apps/ai_spleen_seg_app --tag seg_app:latest --model model.ts -l DEBUG
 
+# For AMD GPUs, nvidia-docker is not required. Use --base [base image] option to override the docker base image.
+# Please see https://hub.docker.com/r/rocm/pytorch for rocm/pytorch docker images.
+monai-deploy package -b rocm/pytorch:rocm5.4.1_ubuntu20.04_py3.7_pytorch_1.12.1 examples/apps/ai_spleen_seg_app --tag seg_app:latest --model model.ts -l DEBUG
+
 # Run the app with docker image and input file locally
 monai-deploy run seg_app:latest dcm/ output
 ```