chore(deps): bump torch

Bumps the pip group with 1 update in the /backend/python/vllm directory: torch.


Updates `torch` from 2.9.1+cpu to 2.12.0+cpu

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.12.0+cpu
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Dockerfile

@@ -171,17 +171,6 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ]; then \
     ln -s /opt/rocm-**/lib/llvm/lib/libomp.so /usr/lib/libomp.so \
     ; fi
 
-# ROCm's bundled libdrm_amdgpu is built with a hardcoded fallback lookup path
-# for the ASIC ID table (/opt/amdgpu/share/libdrm/amdgpu.ids), which only exists
-# if AMD's full amdgpu graphics/DKMS stack is installed. This compute-only image
-# doesn't have it, so hipblas/rocBLAS log "No such file or directory" on every
-# model load and can fail to identify the GPU. Point it at the equivalent file
-# Ubuntu's libdrm-common package already ships.
-RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ -f /usr/share/libdrm/amdgpu.ids ] && [ ! -e /opt/amdgpu/share/libdrm/amdgpu.ids ]; then \
-    mkdir -p /opt/amdgpu/share/libdrm && \
-    ln -s /usr/share/libdrm/amdgpu.ids /opt/amdgpu/share/libdrm/amdgpu.ids \
-    ; fi
-
 RUN expr "${BUILD_TYPE}" = intel && echo "intel" > /run/localai/capability || echo "not intel"
 
 # Cuda

backend/cpp/llama-cpp/Makefile

@@ -1,5 +1,5 @@
 
-LLAMA_VERSION?=0eca4d490e591d4e93058d07540cf47278a72577
+LLAMA_VERSION?=6f4f53f2b7da54fcdbbecaaa734337c337ad6176
 LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
 
 CMAKE_ARGS?=

backend/go/crispasr/Makefile

@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
 
 # CrispASR version (release tag)
 CRISPASR_REPO?=https://github.com/CrispStrobe/CrispASR
-CRISPASR_VERSION?=8fd9db8fec8cb5e929d23d3267ed5817794feb1a
+CRISPASR_VERSION?=3b93758f9725d400eca82976f895e4cec3f31260
 SO_TARGET?=libgocrispasr.so
 
 CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF

backend/python/vllm/install.sh

@@ -104,7 +104,7 @@ if [ "$(uname -s)" = "Darwin" ]; then
     # can rewrite it. Darwin therefore follows vllm-metal and can lag the Linux
     # vllm pin (requirements-cublas13-after.txt, bumped independently against
     # vllm/vllm) until vllm-metal supports a newer vLLM.
-    VLLM_METAL_VERSION="v0.3.0.dev20260630095652"
+    VLLM_METAL_VERSION="v0.3.0.dev20260628073537"
 
     # The coupled vLLM source version is whatever this vllm-metal release builds
     # against -- it declares it in its own installer as `vllm_v=`. Derive it from

backend/python/vllm/requirements-cpu.txt

@@ -1,6 +1,6 @@
 --extra-index-url https://download.pytorch.org/whl/cpu
 accelerate
-torch==2.9.1+cpu
+torch==2.12.0+cpu
 torchvision
 torchaudio
 transformers

docs/data/version.json

@@ -1,3 +1,3 @@
 {
-  "version": "v4.5.6"
+  "version": "v4.5.5"
 }