From db7a79cbf74ec0b21e009faa7f1b563f1f88aeb2 Mon Sep 17 00:00:00 2001
From: Rehan Khan <Rehan.Khan7@ibm.com>
Date: Wed, 29 Jul 2026 10:22:17 +0530
Subject: [PATCH] [CPU] Fix s390x builds and update torch version in dockerfile
 (#50144)

Signed-off-by: Rehan Khan <Rehan.Khan7@ibm.com>
Co-authored-by: Li, Jiang <jiang1.li@intel.com>
---
 csrc/cpu/cpu_types_vxe.hpp | 6 +++---
 docker/Dockerfile.s390x    | 4 ++--
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/csrc/cpu/cpu_types_vxe.hpp b/csrc/cpu/cpu_types_vxe.hpp
index bf96554a8d..26a14e8ea6 100644
--- a/csrc/cpu/cpu_types_vxe.hpp
+++ b/csrc/cpu/cpu_types_vxe.hpp
@@ -269,7 +269,7 @@ struct FP32Vec4 : public Vec<FP32Vec4> {
 
   explicit FP32Vec4(__vector float data) : reg(data) {}
 
-  explicit FP32Vec4(const FP32Vec4& data) : reg(data.reg) {}
+  FP32Vec4(const FP32Vec4& data) : reg(data.reg) {}
 };
 
 struct FP32Vec8 : public Vec<FP32Vec8> {
@@ -298,7 +298,7 @@ struct FP32Vec8 : public Vec<FP32Vec8> {
 
   explicit FP32Vec8(f32x4x2_t data) : reg(data) {}
 
-  explicit FP32Vec8(const FP32Vec8& data) {
+  FP32Vec8(const FP32Vec8& data) {
     reg.val[0] = data.reg.val[0];
     reg.val[1] = data.reg.val[1];
   }
@@ -643,7 +643,7 @@ struct FP32Vec16 : public Vec<FP32Vec16> {
 
   explicit FP32Vec16(f32x4x4_t data) : reg(data) {}
 
-  explicit FP32Vec16(const FP32Vec16& data) {
+  FP32Vec16(const FP32Vec16& data) {
     reg.val[0] = data.reg.val[0];
     reg.val[1] = data.reg.val[1];
     reg.val[2] = data.reg.val[2];
diff --git a/docker/Dockerfile.s390x b/docker/Dockerfile.s390x
index b71e035e15..d645e37e78 100644
--- a/docker/Dockerfile.s390x
+++ b/docker/Dockerfile.s390x
@@ -61,13 +61,13 @@ ENV C_INCLUDE_PATH="/usr/local/include:$C_INCLUDE_PATH"
 
 FROM python-install AS torch-vision
 # Install torchvision
-ARG TORCH_VISION_VERSION=v0.26.0
+ARG TORCH_VISION_VERSION=v0.28.0
 WORKDIR /tmp
 RUN --mount=type=cache,target=/root/.cache/uv \
     git clone https://github.com/pytorch/vision.git && \
     cd vision && \
     git checkout $TORCH_VISION_VERSION && \
-    uv pip install torch==2.11.0 --index-url https://download.pytorch.org/whl/cpu && \
+    uv pip install torch==2.13.0 --index-url https://download.pytorch.org/whl/cpu && \
     python setup.py bdist_wheel
 
 FROM python-install AS hf-xet-builder