Release - SuperBench v0.11.0 (#654)

**Description**
Cherry pick bug fixes from v0.11.0 to main

**Major Revision**
* #645 
* #648 
* #646 
* #647 
* #651 
* #652 
* #650

---------
Co-authored-by: hongtaozhang <hongtaozhang@microsoft.com>
Co-authored-by: Yifan Xiong <yifan.xiong@microsoft.com>

.github/workflows/build-image.yml

@@ -40,16 +40,16 @@ jobs:
           tags: superbench/main:cuda11.1.1,superbench/superbench:latest
           runner: ubuntu-latest
           build_args: "NUM_MAKE_JOBS=8"
-        - name: rocm5.7
-          dockerfile: rocm5.7.x
-          tags: superbench/main:rocm5.7
-          runner: [self-hosted, rocm-build]
-          build_args: "NUM_MAKE_JOBS=64"
         - name: rocm6.0
           dockerfile: rocm6.0.x
           tags: superbench/main:rocm6.0
           runner: [self-hosted, rocm-build]
-          build_args: "NUM_MAKE_JOBS=64"
+          build_args: "NUM_MAKE_JOBS=16"
+        - name: rocm6.2
+          dockerfile: rocm6.2.x
+          tags: superbench/main:rocm6.2
+          runner: [self-hosted, rocm-build]
+          build_args: "NUM_MAKE_JOBS=16"
     steps:
       - name: Checkout
         uses: actions/checkout@v2
@@ -68,6 +68,8 @@ jobs:
           else
             echo "No Docker images found with the specified references."
           fi
+          sudo docker ps -q | grep build | xargs -r sudo docker stop
+          echo y | sudo docker system prune -a --volumes
           df -h
       - name: Prepare metadata
         id: metadata

README.md

@@ -15,7 +15,7 @@
 
 __SuperBench__ is a validation and profiling tool for AI infrastructure.
 
-📢 [v0.10.0](https://github.com/microsoft/superbenchmark/releases/tag/v0.10.0) has been released!
+📢 [v0.11.0](https://github.com/microsoft/superbenchmark/releases/tag/v0.11.0) has been released!
 
 ## _Check [aka.ms/superbench](https://aka.ms/superbench) for more details._
 

dockerfile/cuda11.1.1.dockerfile

@@ -83,11 +83,13 @@ RUN cd /tmp && \
     rm -rf /tmp/MLNX_OFED_LINUX-${OFED_VERSION}*
 
 # Install HPC-X
+ENV HPCX_VERSION=v2.9.0
 RUN cd /opt && \
-    wget -q https://azhpcstor.blob.core.windows.net/azhpc-images-store/hpcx-v2.8.3-gcc-MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu20.04-x86_64.tbz && \
-    tar xf hpcx-v2.8.3-gcc-MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu20.04-x86_64.tbz && \
-    ln -s hpcx-v2.8.3-gcc-MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu20.04-x86_64 hpcx && \
-    rm hpcx-v2.8.3-gcc-MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu20.04-x86_64.tbz
+    rm -rf hpcx && \
+    wget -q https://content.mellanox.com/hpc/hpc-x/${HPCX_VERSION}/hpcx-${HPCX_VERSION}-gcc-inbox-ubuntu20.04-x86_64.tbz -O hpcx.tbz && \
+    tar xf hpcx.tbz && \
+    mv hpcx-${HPCX_VERSION}-gcc-inbox-ubuntu20.04-x86_64 hpcx && \
+    rm hpcx.tbz
 
 # Install NCCL RDMA SHARP plugins
 RUN cd /tmp && \

dockerfile/cuda12.4.dockerfile

@@ -8,7 +8,7 @@ FROM nvcr.io/nvidia/pytorch:24.03-py3
 #   - CUDA: 12.4.0
 #   - cuDNN: 9.0.0.306
 #   - cuBLAS: 12.4.2.65
-#   - NCCL: v2.20
+#   - NCCL: v2.23.4-1
 #   - TransformerEngine 1.4
 # Mellanox:
 #   - OFED: 23.07-0.5.1.2
@@ -115,6 +115,23 @@ RUN cd /tmp && \
     mv amd-blis /opt/AMD && \
     rm -rf aocl-blis-linux-aocc-4.0.tar.gz
 
+# Install NCCL 2.23.4
+RUN cd /tmp && \
+    git clone -b v2.23.4-1 https://github.com/NVIDIA/nccl.git && \
+    cd nccl && \
+    make -j ${NUM_MAKE_JOBS} src.build && \
+    make install && \
+    rm -rf /tmp/nccl
+
+# Install UCX v1.16.0 with multi-threading support
+RUN cd /tmp && \
+    wget https://github.com/openucx/ucx/releases/download/v1.16.0/ucx-1.16.0.tar.gz && \
+    tar xzf ucx-1.16.0.tar.gz && \
+    cd ucx-1.16.0 && \
+    ./contrib/configure-release-mt --prefix=/usr/local && \
+    make -j ${NUM_MAKE_JOBS} && \
+    make install
+
 ENV PATH="${PATH}" \
     LD_LIBRARY_PATH="/usr/local/lib:/usr/local/mpi/lib:${LD_LIBRARY_PATH}" \
     SB_HOME=/opt/superbench \

dockerfile/rocm6.0.x.dockerfile

@@ -173,6 +173,11 @@ RUN make RCCL_HOME=/opt/rccl/build/ ROCBLAS_BRANCH=release/rocm-rel-6.0 HIPBLASL
 RUN cd third_party/Megatron/Megatron-DeepSpeed && \
     git apply ../megatron_deepspeed_rocm6.patch
 
+# Install AMD SMI Python Library
+RUN apt install amd-smi-lib -y && \
+    cd /opt/rocm/share/amd_smi && \
+    python3 -m pip install .
+
 ADD . .
 ENV USE_HIP_DATATYPE=1
 ENV USE_HIPBLAS_COMPUTETYPE=1

dockerfile/rocm6.2.x.dockerfile

+ARG BASE_IMAGE=rocm/pytorch:rocm6.2_ubuntu20.04_py3.9_pytorch_release_2.3.0
+
+FROM ${BASE_IMAGE}
+
+# OS:
+#   - Ubuntu: 22.04
+#   - Docker Client: 20.10.8
+# ROCm:
+#   - ROCm: 6.2
+# Lib:
+#   - torch: 2.3.0
+#   - rccl: 2.18.3+hip6.0 develop:7e1cbb4
+#   - hipblaslt: release-staging/rocm-rel-6.2
+#   - rocblas: release-staging/rocm-rel-6.2
+#   - openmpi: 4.1.x
+# Intel:
+#   - mlc: v3.11
+
+LABEL maintainer="SuperBench"
+
+ENV DEBIAN_FRONTEND=noninteractive
+RUN apt-get update && \
+    apt-get -q install -y --no-install-recommends  \
+    autoconf \
+    automake \
+    bc \
+    build-essential \
+    curl \
+    dmidecode \
+    git \
+    hipify-clang \
+    iproute2 \
+    jq \
+    libaio-dev \
+    libboost-program-options-dev \
+    libcap2 \
+    libcurl4-openssl-dev \
+    libnuma-dev \
+    libpci-dev \
+    libssl-dev \
+    libtinfo5 \
+    libtool \
+    lshw \
+    net-tools \
+    numactl \
+    openssh-client \
+    openssh-server \
+    pciutils \
+    python3-mpi4py \
+    rsync \
+    sudo \
+    util-linux \
+    vim \
+    wget \
+    && \
+    rm -rf /tmp/*
+
+ARG NUM_MAKE_JOBS=64
+
+# Check if CMake is installed and its version
+RUN cmake_version=$(cmake --version 2>/dev/null | grep -oP "(?<=cmake version )(\d+\.\d+)" || echo "0.0") && \
+    required_version="3.24.1" && \
+    if [ "$(printf "%s\n" "$required_version" "$cmake_version" | sort -V | head -n 1)" != "$required_version" ]; then \
+    echo "existing cmake version is ${cmake_version}" && \
+    cd /tmp && \
+    wget -q https://github.com/Kitware/CMake/releases/download/v${required_version}/cmake-${required_version}.tar.gz && \
+    tar xzf cmake-${required_version}.tar.gz && \
+    cd cmake-${required_version} && \
+    ./bootstrap --prefix=/usr --no-system-curl --parallel=16 && \
+    make -j ${NUM_MAKE_JOBS} && \
+    make install && \
+    rm -rf /tmp/cmake-${required_version}* \
+    else \
+    echo "CMake version is greater than or equal to 3.24.1"; \
+    fi
+
+# Install Docker
+ENV DOCKER_VERSION=20.10.8
+RUN cd /tmp && \
+    wget -q https://download.docker.com/linux/static/stable/x86_64/docker-${DOCKER_VERSION}.tgz -O docker.tgz && \
+    tar --extract --file docker.tgz --strip-components 1 --directory /usr/local/bin/ && \
+    rm docker.tgz
+
+# Update system config
+RUN mkdir -p /root/.ssh && \
+    touch /root/.ssh/authorized_keys && \
+    mkdir -p /var/run/sshd && \
+    sed -i "s/[# ]*PermitRootLogin prohibit-password/PermitRootLogin yes/" /etc/ssh/sshd_config && \
+    sed -i "s/[# ]*PermitUserEnvironment no/PermitUserEnvironment yes/" /etc/ssh/sshd_config && \
+    sed -i "s/[# ]*Port.*/Port 22/" /etc/ssh/sshd_config && \
+    echo "* soft nofile 1048576\n* hard nofile 1048576" >> /etc/security/limits.conf && \
+    echo "root soft nofile 1048576\nroot hard nofile 1048576" >> /etc/security/limits.conf
+
+
+# Get Ubuntu version and set as an environment variable
+RUN export UBUNTU_VERSION=$(lsb_release -r -s)
+RUN echo "Ubuntu version: $UBUNTU_VERSION"
+ENV UBUNTU_VERSION=${UBUNTU_VERSION}
+
+# Install OFED
+ENV OFED_VERSION=5.9-0.5.6.0
+# Check if ofed_info is present and has a version
+RUN if ! command -v ofed_info >/dev/null 2>&1; then \
+    echo "OFED not found. Installing OFED..."; \
+    cd /tmp && \
+    wget -q http://content.mellanox.com/ofed/MLNX_OFED-${OFED_VERSION}/MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu${UBUNTU_VERSION}-x86_64.tgz && \
+    tar xzf MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu${UBUNTU_VERSION}-x86_64.tgz && \
+    PATH=/usr/bin:${PATH} MLNX_OFED_LINUX-${OFED_VERSION}-ubuntu${UBUNTU_VERSION}-x86_64/mlnxofedinstall --user-space-only --without-fw-update --force --all && \
+    rm -rf MLNX_OFED_LINUX-${OFED_VERSION}* ; \
+    fi
+
+ENV ROCM_PATH=/opt/rocm
+
+# Install OpenMPI
+ENV OPENMPI_VERSION=4.1.x
+ENV MPI_HOME=/usr/local/mpi
+# Check if Open MPI is installed
+RUN cd /tmp && \
+    git clone --recursive https://github.com/open-mpi/ompi.git -b v${OPENMPI_VERSION}  && \
+    cd ompi && \
+    ./autogen.pl && \
+    mkdir build && \
+    cd build && \
+    ../configure --prefix=/usr/local/mpi  --enable-orterun-prefix-by-default --enable-mpirun-prefix-by-default  --enable-prte-prefix-by-default --with-rocm=/opt/rocm && \
+    make -j $(nproc) && \
+    make -j $(nproc) install && \
+    ldconfig && \
+    cd / && \
+    rm -rf /tmp/openmpi-${OPENMPI_VERSION}*
+
+# Install Intel MLC
+RUN cd /tmp && \
+    wget -q https://downloadmirror.intel.com/763324/mlc_v3.10.tgz -O mlc.tgz && \
+    tar xzf mlc.tgz Linux/mlc && \
+    cp ./Linux/mlc /usr/local/bin/ && \
+    rm -rf ./Linux mlc.tgz
+
+# Install RCCL
+RUN cd /opt/ &&  \
+    git clone -b release/rocm-rel-6.2 https://github.com/ROCmSoftwarePlatform/rccl.git && \
+    cd rccl && \
+    mkdir build && \
+    cd build && \
+    CXX=/opt/rocm/bin/hipcc cmake -DHIP_COMPILER=clang -DCMAKE_BUILD_TYPE=Release -DCMAKE_VERBOSE_MAKEFILE=1 \
+    -DCMAKE_PREFIX_PATH="${ROCM_PATH}/hsa;${ROCM_PATH}/hip;${ROCM_PATH}/share/rocm/cmake/;${ROCM_PATH}" \
+    .. && \
+    make -j${NUM_MAKE_JOBS}
+
+# Install AMD SMI Python Library
+RUN apt install amd-smi-lib -y && \
+    cd /opt/rocm/share/amd_smi && \
+    python3 -m pip install .
+
+ENV PATH="/usr/local/mpi/bin:/opt/superbench/bin:/usr/local/bin/:/opt/rocm/hip/bin/:/opt/rocm/bin/:${PATH}" \
+    LD_PRELOAD="/opt/rccl/build/librccl.so:$LD_PRELOAD" \
+    LD_LIBRARY_PATH="/usr/local/mpi/lib:/usr/lib/x86_64-linux-gnu/:/usr/local/lib/:/opt/rocm/lib:${LD_LIBRARY_PATH}" \
+    SB_HOME=/opt/superbench \
+    SB_MICRO_PATH=/opt/superbench \
+    ANSIBLE_DEPRECATION_WARNINGS=FALSE \
+    ANSIBLE_COLLECTIONS_PATH=/usr/share/ansible/collections
+
+RUN echo PATH="$PATH" > /etc/environment && \
+    echo LD_LIBRARY_PATH="$LD_LIBRARY_PATH" >> /etc/environment && \
+    echo SB_MICRO_PATH="$SB_MICRO_PATH" >> /etc/environment
+
+RUN apt install rocm-cmake -y && \
+    python3 -m pip install --upgrade pip wheel setuptools==65.7
+
+WORKDIR ${SB_HOME}
+
+ADD third_party third_party
+# Apply patch
+RUN cd third_party/perftest && \
+    git apply ../perftest_rocm6.patch
+RUN make RCCL_HOME=/opt/rccl/build/ ROCBLAS_BRANCH=release-staging/rocm-rel-6.2 HIPBLASLT_BRANCH=release-staging/rocm-rel-6.2 ROCM_VER=rocm-5.5.0 -C third_party rocm -o cpu_hpl -o cpu_stream -o megatron_lm
+RUN cp -r /opt/superbench/third_party/hipBLASLt/build/release/hipblaslt-install/lib/*  /opt/rocm/lib/ && \
+    cp -r /opt/superbench/third_party/hipBLASLt/build/release/hipblaslt-install/include/*  /opt/rocm/include/
+RUN cd third_party/Megatron/Megatron-DeepSpeed && \
+    git apply ../megatron_deepspeed_rocm6.patch
+
+# Install transformer_engine
+RUN git clone --recursive https://github.com/ROCm/TransformerEngine.git && \
+    cd TransformerEngine && \
+    export NVTE_FRAMEWORK=pytorch && \
+    pip install .
+
+ADD . .
+ENV USE_HIP_DATATYPE=1
+ENV USE_HIPBLAS_COMPUTETYPE=1
+RUN python3 -m pip install .[amdworker]  && \
+    CXX=/opt/rocm/bin/hipcc make cppbuild  && \
+    make postinstall
+

docs/getting-started/installation.mdx

@@ -61,7 +61,7 @@ You can clone the source from GitHub and build it.
 :::note Note
 You should checkout corresponding tag to use release version, for example,
 
-`git clone -b v0.10.0 https://github.com/microsoft/superbenchmark`
+`git clone -b v0.11.0 https://github.com/microsoft/superbenchmark`
 :::
 
 ```bash

docs/getting-started/run-superbench.md

@@ -27,7 +27,7 @@ sb deploy -f remote.ini --host-password [password]
 :::note Note
 You should deploy corresponding Docker image to use release version, for example,
 
-`sb deploy -f local.ini -i superbench/superbench:v0.10.0-cuda12.2`
+`sb deploy -f local.ini -i superbench/superbench:v0.11.0-cuda12.4`
 
 You should note that version of git repo only determines version of sb CLI, and not the sb container. You should define the container version even if you specified a release version for the git clone.
 

docs/superbench-config.mdx

@@ -70,7 +70,7 @@ superbench:
 <TabItem value='example'>
 
 ```yaml
-version: v0.10
+version: v0.11
 superbench:
   enable: benchmark_1
   monitor:

docs/user-tutorial/container-images.mdx

@@ -30,6 +30,9 @@ available tags are listed below for all stable versions.
 
 | Tag                | Description                         |
 |--------------------|-------------------------------------|
+| v0.11.0-cuda12.4   | SuperBench v0.11.0 with CUDA 12.4   |
+| v0.11.0-cuda12.2   | SuperBench v0.11.0 with CUDA 12.2   |
+| v0.11.0-cuda11.1.1 | SuperBench v0.11.0 with CUDA 11.1.1 |
 | v0.10.0-cuda12.2   | SuperBench v0.10.0 with CUDA 12.2   |
 | v0.10.0-cuda11.1.1 | SuperBench v0.10.0 with CUDA 11.1.1 |
 | v0.9.0-cuda12.1    | SuperBench v0.9.0 with CUDA 12.1    |
@@ -50,6 +53,9 @@ available tags are listed below for all stable versions.
 
 | Tag                           | Description                                      |
 |-------------------------------|--------------------------------------------------|
+| v0.11.0-rocm6.2               | SuperBench v0.11.0 with ROCm 6.2                 |
+| v0.11.0-rocm6.0               | SuperBench v0.11.0 with ROCm 6.0                 |
+| v0.10.0-rocm6.0               | SuperBench v0.10.0 with ROCm 6.0                 |
 | v0.10.0-rocm5.7               | SuperBench v0.10.0 with ROCm 5.7                 |
 | v0.9.0-rocm5.1.3              | SuperBench v0.9.0 with ROCm 5.1.3                |
 | v0.9.0-rocm5.1.1              | SuperBench v0.9.0 with ROCm 5.1.1                |

docs/user-tutorial/data-diagnosis.md

@@ -65,7 +65,7 @@ superbench:
 example:
 ```yaml
 # SuperBench rules
-version: v0.10
+version: v0.11
 superbench:
   rules:
     failure-rule:
@@ -83,8 +83,8 @@ superbench:
       criteria: lambda x:x>0.05
       categories: KernelLaunch
       metrics:
-        - kernel-launch/event_overhead:\d+
-        - kernel-launch/wall_overhead:\d+
+        - kernel-launch/event_time:\d+
+        - kernel-launch/wall_time:\d+
     rule1:
     # Rule 1: If H2D_Mem_BW or D2H_Mem_BW test suffers > 5% downgrade, label it as defective
       function: variance

docs/user-tutorial/result-summary.md

@@ -58,7 +58,7 @@ superbench:
 
 ```yaml title="Example"
 # SuperBench rules
-version: v0.10
+version: v0.11
 superbench:
   rules:
     kernel_launch:
@@ -70,8 +70,8 @@ superbench:
       aggregate: True
       categories: KernelLaunch
       metrics:
-        - kernel-launch/event_overhead
-        - kernel-launch/wall_overhead
+        - kernel-launch/event_time
+        - kernel-launch/wall_time
     nccl:
       statistics: mean
       categories: NCCL

setup.py

@@ -168,6 +168,7 @@ def run(self):
         'openpyxl>=3.0.7',
         'packaging>=21.0',
         'pandas>=1.1.5',
+        'protobuf<=3.20.3',
         'pssh @ git+https://github.com/lilydjwg/pssh.git@v2.3.4',
         'pyyaml>=5.3',
         'requests>=2.27.1',
@@ -218,7 +219,7 @@ def run(self):
                 'onnxruntime-gpu; python_version>="3.10"',
             ],
             'nvidia': ['py3nvml>=0.2.6'],
-            'amd': ['pyrsmi>=1.0.1'],
+            'amd': ['amdsmi'],
         }
     ),
     include_package_data=True,

superbench/__init__.py

@@ -6,5 +6,5 @@
 Provide hardware and software benchmarks for AI systems.
 """
 
-__version__ = '0.10.0'
+__version__ = '0.11.0'
 __author__ = 'Microsoft'

superbench/common/utils/device_manager.py

@@ -179,11 +179,11 @@ def get_device_temperature(self, idx):
         Return:
             temp (int): the temperature of device, None means failed to get the data.
         """
+        temp = None
         try:
             temp = nvml.nvmlDeviceGetTemperature(self._device_handlers[idx], nvml.NVML_TEMPERATURE_GPU)
         except Exception as err:
             logger.warning('Get device temperature failed: {}'.format(str(err)))
-            temp = None
         return temp
 
     def get_device_power(self, idx):
@@ -367,6 +367,7 @@ def get_device_temperature(self, idx):
         Return:
             temp (int): the temperature of device, None means failed to get the data.
         """
+        temp = None
         try:
             temp = rocml.amdsmi_get_temp_metric(
                 self._device_handlers[idx], rocml.AmdSmiTemperatureType.EDGE, rocml.AmdSmiTemperatureMetric.CURRENT
@@ -375,7 +376,6 @@ def get_device_temperature(self, idx):
             pass
         except Exception as err:
             logger.warning('Get device temperature failed: {}'.format(str(err)))
-            temp = None
         return temp
 
     def get_device_power(self, idx):

superbench/config/amd_mi100_hpe.yaml

@@ -3,7 +3,7 @@
 # Server:
 #   - Product: HPE Apollo 6500
 
-version: v0.10
+version: v0.11
 superbench:
   enable: null
   var:

superbench/config/amd_mi100_z53.yaml

@@ -4,7 +4,7 @@
 #   - Product: G482-Z53
 #   - Link: https://www.gigabyte.cn/FileUpload/Global/MicroSite/553/G482-Z53.html
 
-version: v0.10
+version: v0.11
 superbench:
   enable: null
   var:

superbench/config/amd_mi300.yaml

+# SuperBench Config
+version: v0.11
+superbench:
+  enable: null
+  var:
+    default_local_mode: &default_local_mode
+      enable: true
+      modes:
+        - name: local
+          proc_num: 8
+          prefix: HIP_VISIBLE_DEVICES={proc_rank}
+          parallel: yes
+    default_pytorch_mode: &default_pytorch_mode
+      enable: true
+      modes:
+        - name: torch.distributed
+          proc_num: 8
+          node_num: 1
+      frameworks:
+        - pytorch
+    common_model_config: &common_model_config
+    model_ddp_parameter: &model_ddp_param
+      duration: 0
+      num_warmup: 128
+      num_steps: 512
+      sample_count: 8192
+      batch_size: 128
+      precision: [float32, float16]
+      model_action: [train]
+      pin_memory: yes
+      num_workers: 0
+  benchmarks:
+    kernel-launch:
+      <<: *default_local_mode
+    gemm-flops:
+      <<: *default_local_mode
+      parameters:
+        m: 7680
+        n: 8192
+        k: 8192
+    hipblaslt-gemm:
+      enable: true
+      modes:
+      - name: local
+        proc_num: 8
+        prefix: HIP_VISIBLE_DEVICES={proc_rank}
+        parallel: yes
+      parameters:
+        in_types: ["fp32", "fp16", "bf16", 'fp8']
+        tolerant_fail: yes
+        num_warmup: 100
+        num_steps: 1000
+        shapes:
+        - 4096,4096,4096
+        - 8192,8192,8192
+        - 16384,16384,16384
+    rccl-bw:
+      enable: true
+      modes:
+        - name: mpi
+          proc_num: 8
+          node_num: 1
+          mca:
+            pml: ob1
+            btl: ^openib
+            btl_tcp_if_exclude: lo,docker0
+            coll_hcoll_enable: 0
+      parameters:
+        maxbytes: 16G
+        ngpus: 1
+        operation: allreduce
+    cpu-memory-bw-latency:
+      enable: false
+      modes:
+        - name: local
+          proc_num: 1
+          parallel: no
+      parameters:
+        tests:
+          - bandwidth_matrix
+          - latency_matrix
+          - max_bandwidth
+    mem-bw:
+      enable: true
+      modes:
+        - name: local
+          proc_num: 8
+          prefix: HIP_VISIBLE_DEVICES={proc_rank} numactl -N $(({proc_rank}/4))
+          parallel: no
+    ib-loopback:
+      enable: true
+      modes:
+      - name: local
+        proc_num: 16
+        prefix: PROC_RANK={proc_rank} IB_DEVICES=0,1,2,3,4,5,6,7,0,1,2,3,4,5,6,7 numactl -N $(({proc_rank}/8)) -m $(({proc_rank}/8))
+        parallel: no
+      parameters:
+        msg_size: 8388608
+    disk-benchmark:
+      enable: false
+      modes:
+        - name: local
+          proc_num: 1
+          parallel: no
+      parameters:
+        block_devices: []
+    gpu-copy-bw:correctness:
+      enable: true
+      modes:
+        - name: local
+          parallel: no
+      parameters:
+        mem_type: [htod, dtoh, dtod, one_to_all, all_to_one, all_to_all]
+        copy_type: [sm, dma]
+        size: 4096
+        num_warm_up: 0
+        num_loops: 1
+        check_data: true
+    gpu-copy-bw:perf:
+      enable: true
+      modes:
+        - name: local
+          parallel: no
+      parameters:
+        mem_type: [htod, dtoh, dtod, one_to_all, all_to_one, all_to_all]
+        copy_type: [sm, dma]
+    ib-traffic:
+      enable: false
+      modes:
+        - name: mpi
+          proc_num: 1
+          mca:
+            btl: tcp,self
+            pml: ob1
+            btl_tcp_if_include: ens17f0
+    gpcnet-network-test:
+      enable: false
+      modes:
+        - name: mpi
+          proc_num: 1
+          mca:
+            pml: ucx
+            btl: ^uct
+            btl_tcp_if_include: ens17f0
+    tcp-connectivity:
+      enable: false
+      modes:
+        - name: local
+          parallel: no
+      parameters:
+        port: 22
+    dist-inference:
+      modes:
+      - name: mpi
+        proc_num: 8
+        node_num: 1
+        mca:
+          pml: ob1
+          btl: ^openib
+          btl_tcp_if_exclude: lo,docker0
+          coll_hcoll_enable: 0
+      frameworks:
+        - pytorch
+      parameters:
+        num_layers: 50
+        num_warmup: 20
+        num_steps: 100
+        use_cuda_graph: true
+        precision: float16
+        hidden_size: 128
+        input_size: 128
+        batch_size: 1024
+    model-benchmarks:gpt:
+      enable: true
+      <<: *default_pytorch_mode
+      models:
+      - gpt2-small
+      - gpt2-large
+      parameters:
+        <<: *model_ddp_param
+        precision: [float32, float16, fp8_hybrid]
+        batch_size: 32
+        seq_len: 224
+    model-benchmarks:bert:
+      enable: true
+      <<: *default_pytorch_mode
+      models:
+      - bert-base
+      - bert-large
+      parameters:
+        <<: *model_ddp_param
+        precision: [float32, float16, fp8_hybrid]
+        seq_len: 224
+    model-benchmarks:lstm:
+      enable: true
+      <<: *default_pytorch_mode
+      models:
+      - lstm
+      parameters:
+        <<: *model_ddp_param
+        batch_size: 1024
+        input_size: 224
+        hidden_size: 1000
+        seq_len: 32
+    model-benchmarks:resnet:
+      enable: true
+      <<: *default_pytorch_mode
+      models:
+      - resnet50
+      - resnet101
+      - resnet152
+      parameters:
+        <<: *model_ddp_param
+        batch_size: 384
+    model-benchmarks:densenet:
+      enable: true
+      <<: *default_pytorch_mode
+      models:
+      - densenet169
+      - densenet201
+      parameters:
+        <<: *model_ddp_param
+    model-benchmarks:vgg:
+      enable: true
+      <<: *default_pytorch_mode
+      models:
+      - vgg11
+      - vgg13
+      - vgg16
+      - vgg19
+      parameters:
+        <<: *model_ddp_param

superbench/config/azure/inference/standard_nc64as_t4_v3.yaml

-version: v0.10
+version: v0.11
 superbench:
   enable: null
   monitor:

superbench/config/azure/inference/standard_nc96ads_a100_v4.yaml

-version: v0.10
+version: v0.11
 superbench:
   enable: null
   monitor: