diff --git a/.github/workflows/build_image.yml b/.github/workflows/build_image.yml
index 2a8e898..ae98b5c 100644
--- a/.github/workflows/build_image.yml
+++ b/.github/workflows/build_image.yml
@@ -3,8 +3,8 @@ name: Daily Image Building Script Execution
 on:
   workflow_dispatch:
   schedule:
-    # Runs at 1:00 AM every day
-    - cron: '0 1 * * *'
+    # Runs daily at 1:00 AM, Beijing time.
+    - cron: '0 17 * * *' # This is UTC time
 
 jobs:
   run-shell-script:
diff --git a/docker/Dockerfile.base b/docker/Dockerfile.base
index 96eade2..607c6d2 100644
--- a/docker/Dockerfile.base
+++ b/docker/Dockerfile.base
@@ -67,6 +67,9 @@ RUN env ${PROXY} curl -L -O "http://github.com/bazelbuild/bazel/releases/downloa
     && ./"$bazel_file" --user \
     && rm -f "$bazel_file"
 
+# install bazel 6.1.0 for BladeDISC
+RUN cd "/root/.bazel/bin" && env ${PROXY} curl -fLO https://releases.bazel.build/6.1.0/release/bazel-6.1.0-linux-x86_64 && chmod +x bazel-6.1.0-linux-x86_64
+
 ENV PATH "/root/bin:$PATH"
 ENV TERM xterm
 
diff --git a/docker/Dockerfile.release b/docker/Dockerfile.release
index 8c8ce73..3b93d26 100644
--- a/docker/Dockerfile.release
+++ b/docker/Dockerfile.release
@@ -9,6 +9,7 @@ ENV PROXY=${use_proxy:+'https_proxy=http://127.0.0.1:7890 http_proxy=http://127.
 
 COPY ./whls/* ${work_dir}/
 RUN cd ${work_dir} \
-    && env ${PROXY} pip install *.whl transformers==4.33.0 datasets pillow SentencePiece accelerate transformers_stream_generator tiktoken peft bitsandbytes scipy \
+    && env ${PROXY} pip install *.whl \
+    && env ${PROXY} pip install transformers==4.33.0 datasets pillow SentencePiece accelerate transformers_stream_generator tiktoken peft bitsandbytes scipy \
     && env ${PROXY} pip install torchvision==0.18.0 --no-deps \
     && rm -rf ${work_dir}/* /root/.cache/pip
diff --git a/docker/build_whls.sh b/docker/build_whls.sh
index 8f1ef2e..eaaccd6 100755
--- a/docker/build_whls.sh
+++ b/docker/build_whls.sh
@@ -34,7 +34,6 @@ function build_pytorch {
 
 function build_torch_xla {
     pushd pytorch/xla
-    python setup.py clean
     env ${proxy} TF_CUDA_COMPUTE_CAPABILITIES="${cuda_compute_capabilities//\ /,}" \
         TORCH_CUDA_ARCH_LIST="${cuda_compute_capabilities}" \
         BUILD_CPP_TESTS=0 \
@@ -50,7 +49,9 @@ function build_torch_xla {
         python setup.py ${build_mode}
     if [ "${build_mode}" = "bdist_wheel" ]; then
         cp dist/*.whl ${work_dir}/whls/
-        cp third_party/flash-attention/dist/*.whl ${work_dir}/whls/
+        # TODO: Directly installing FlashAttention 2.5.6 via `pip install` can cause an torch related undefined symbol error.
+        # Install FlashAttention in the Dockerfile.release after torchacc adapts FA to version 2.5.8.
+        wget https://odps-release.oss-cn-zhangjiakou.aliyuncs.com/torchacc/whls/flash_attn-2.5.6-cp310-cp310-linux_x86_64.whl -P ${work_dir}/whls/
     fi
     popd
 }