Upgrade PyTorch version to v1.13.0

Signed-off-by: Yuki Iwai <[email protected]>

Author: tenzen-y

examples/v1beta1/trial-images/darts-cnn-cifar10/Dockerfile.gpu

@@ -1,6 +1,7 @@
-# Pytorch=1.11.0, cuda=11.6.0
-# Ref: https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel_22-08.html#rel_22-08
-FROM nvcr.io/nvidia/pytorch:22.02-py3
+# We need to use the nvcr.io/nvidia/pytorch image as a base image to support both linux/amd64 and linux_arm64 platforms.
+# PyTorch=1.13.0, cuda=11.8.0
+# Ref: https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-22-11.html#rel-22-11
+FROM nvcr.io/nvidia/pytorch:22.11-py3
 
 ENV TARGET_DIR /opt/darts-cnn-cifar10
 

examples/v1beta1/trial-images/darts-cnn-cifar10/requirements.txt

@@ -1,3 +1,3 @@
-torch==1.11.0
-torchvision==0.12.0
+torch==1.13.1
+torchvision==0.14.1
 Pillow>=9.1.1

examples/v1beta1/trial-images/pytorch-mnist/Dockerfile.gpu

@@ -1,6 +1,7 @@
-# Pytorch=1.11.0, cuda=11.6.0
-# Ref: https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel_22-08.html#rel_22-08
-FROM nvcr.io/nvidia/pytorch:22.02-py3
+# We need to use the nvcr.io/nvidia/pytorch image as a base image to support both linux/amd64 and linux_arm64 platforms.
+# PyTorch=1.13.0, cuda=11.8.0
+# Ref: https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-22-11.html#rel-22-11
+FROM nvcr.io/nvidia/pytorch:22.11-py3
 
 ADD examples/v1beta1/trial-images/pytorch-mnist /opt/pytorch-mnist
 

examples/v1beta1/trial-images/pytorch-mnist/requirements.txt

@@ -1,4 +1,4 @@
 cloudml-hypertune==0.1.0.dev6
-torch==1.11.0
-torchvision==0.12.0
+torch==1.13.1
+torchvision==0.14.1
 Pillow>=9.1.1

sdk/python/v1beta1/kubeflow/katib/constants/constants.py

@@ -34,7 +34,7 @@
 # TODO (andreyvelich): Implement list_base_images function to get each image description.
 BASE_IMAGE_TENSORFLOW = "docker.io/tensorflow/tensorflow:2.9.1"
 BASE_IMAGE_TENSORFLOW_GPU = "docker.io/tensorflow/tensorflow:2.9.1-gpu"
-BASE_IMAGE_PYTORCH = "docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime"
+BASE_IMAGE_PYTORCH = "docker.io/pytorch/pytorch:1.13.1-cuda11.6-cudnn8-runtime"
 BASE_IMAGE_MXNET = "docker.io/mxnet/python:1.9.1_native_py3"
 
 DEFAULT_DB_MANAGER_ADDRESS = "katib-db-manager.kubeflow:6789"