Upgrade to HPU release 1.7.1 (#15956)

* Upgrade to HPU release 1.7.1
Update torch version check for hpu

Signed-off-by: Jerome <janand@habana.ai>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

.azure/hpu-tests.yml

@@ -39,7 +39,7 @@ jobs:
     cancelTimeoutInMinutes: "2"
     pool: intel-hpus
     container:
-      image: "vault.habana.ai/gaudi-docker/1.7.0/ubuntu20.04/habanalabs/pytorch-installer-1.12.0:latest"
+      image: "vault.habana.ai/gaudi-docker/1.7.1/ubuntu20.04/habanalabs/pytorch-installer-1.13.0:latest"
       options: "--runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host --shm-size=4g -v /usr/bin/docker:/tmp/docker:ro"
     workspace:
       clean: all

dockers/ci-runner-hpu/Dockerfile

@@ -16,8 +16,8 @@
 #        gaudi-docker-agent:latest
 
 ARG DIST="latest"
-ARG GAUDI_VERSION="1.7.0"
-ARG PYTORCH_INSTALLER_VERSION="1.12.0"
+ARG GAUDI_VERSION="1.7.1"
+ARG PYTORCH_INSTALLER_VERSION="1.13.0"
 FROM vault.habana.ai/gaudi-docker/${GAUDI_VERSION}/ubuntu20.04/habanalabs/pytorch-installer-${PYTORCH_INSTALLER_VERSION}:${DIST}
 
 LABEL maintainer="https://vault.habana.ai/"

src/pytorch_lightning/utilities/imports.py

@@ -52,6 +52,8 @@ if _HABANA_FRAMEWORK_AVAILABLE:
     from habana_frameworks.torch.utils.library_loader import is_habana_avaialble
 
     _HPU_AVAILABLE = is_habana_avaialble()
+    if _HPU_AVAILABLE:
+        _TORCH_GREATER_EQUAL_1_13 = compare_version("torch", operator.ge, "1.13.0", use_base_version=True)
 else:
     _HPU_AVAILABLE = False