fix multiproc executor determine kv cache memory & update Dockerfile

Dockerfile.310p

@@ -20,13 +20,6 @@ FROM quay.io/ascend/cann:8.5.1-310p-ubuntu22.04-py3.11
 ARG PIP_INDEX_URL="https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
 ARG SOC_VERSION="ascend310p1"
 
-# Define environments
-ENV DEBIAN_FRONTEND=noninteractive
-ENV SOC_VERSION=$SOC_VERSION \
-    TASK_QUEUE_ENABLE=1 \
-    OMP_NUM_THREADS=1
-    
-
 RUN apt-get update -y && \
     apt-get install -y python3-pip git vim wget net-tools gcc g++ cmake numactl libnuma-dev libjemalloc2 && \
     rm -rf /var/cache/apt/* && \
@@ -48,6 +41,12 @@ RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install -v -e /vllm-workspace/vllm
     python3 -m pip cache purge
 
 # Install vllm-ascend
+ENV DEBIAN_FRONTEND=noninteractive
+ENV SOC_VERSION=$SOC_VERSION \
+    TASK_QUEUE_ENABLE=1 \
+    OMP_NUM_THREADS=1 \
+    VLLM_WORKER_MULTIPROC_METHOD=spawn \
+    VLLM_ASCEND_ENABLE_VNPU=1
 # Append `libascend_hal.so` path (devlib) to LD_LIBRARY_PATH
 # Installing vllm-ascend on x86 can pull upstream triton back in alongside triton-ascend. Remove it immediately after this step.
 RUN export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \
@@ -70,9 +69,6 @@ RUN export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi
     python3 -m pip install "https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/${PTA_WHEEL}" && \
     python3 -m pip cache purge
 
-ENV VLLM_WORKER_MULTIPROC_METHOD=spawn \
-    VLLM_ASCEND_ENABLE_VNPU=1
-
 # Install modelscope (for fast download) and ray (for multinode)
 RUN python3 -m pip install modelscope 'ray>=2.47.1,<=2.48.0' 'protobuf>3.20.0' && \
     python3 -m pip cache purge