[mthreads] Support base/benchmarks: add mpi_inter test

base/benchmarks/interconnect-MPI_interserver/mthreads/S4000/README.md

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+# 参评AI芯片信息
+
+* 厂商：MThreads
+* 产品名称：S4000
+* 产品型号：MTT S4000
+* TDP：/
+
+# 所用服务器配置
+
+* 服务器数量：1
+
+
+* 单服务器内使用卡数：8
+* 服务器型号：/
+* 操作系统版本：Ubuntu 22.04.5 LTS
+* 操作系统内核：Linux 5.15.0-105-generic
+* CPU：/
+* docker版本：24.0.7
+* 内存：1TiB
+* 服务器间多卡的MPI互联带宽采用多种通信方式组合，无标定互联带宽
+
+# 指标选型
+
+The following are the three performance metrics commonly used
+    1. samples/s (algbw): This metric measures the number of samples processed per second, indicating the algorithmic bandwidth. It reflects the computational efficiency of the algorithm.
+    2. busbw: This metric represents the bus bandwidth, which measures the data transfer rate across the system's bus. It is crucial for understanding the communication efficiency between different parts of the system.
+    3. busbw * 2: This metric is an extension of busbw, accounting for bidirectional data transfer. It doubles the bus bandwidth to reflect the full duplex capability of the system.
+The second metric, busbw, is chosen for the following reasons:
+    1. This number is obtained applying a formula to the algorithm bandwidth to reflect the speed of the inter-GPU communication. Using this bus bandwidth, we can compare it with the hardware peak bandwidth, independently of the number of ranks used.
+    2. We can horizontally compare the MPI of different patterns such as all-gather/all-reduce/reduce-scatter.
+
+# 评测结果
+
+## 核心评测结果
+
+| 评测项  | 服务器间多卡的MPI互联带宽测试值(16卡平均) | 服务器间多卡的MPI互联带宽标定值(16卡平均) | 测试标定比例(16卡平均) |
+| ---- | -------------- | -------------- | ------------ |
+| 评测结果 | /   | /       | /        |
+
+
+## 能耗监控结果
+
+| 监控项  | 系统平均功耗  | 系统最大功耗  | 系统功耗标准差 | 单机TDP | 单卡平均功耗(16卡平均) | 单卡最大功耗(16卡最大) | 单卡功耗标准差(16卡最大) | 单卡TDP |
+| ---- | ------- | ------- | ------- | ----- | ------------ | ------------ | ------------- | ----- |
+| 监控结果 | / | / | /   | /     | / | / | /  | /  |
+
+## 其他重要监控结果
+
+| 监控项  | 系统平均CPU占用 | 系统平均内存占用 | 单卡平均温度(16卡平均) | 单卡平均显存占用(16卡平均) |
+| ---- | --------- | -------- | ------------ | -------------- |
+| 监控结果 | /    | /   | / | /  |
+
+使用torch.all_reduce，进行多机多卡的MPI互联操作，计算服务器内MPI互联带宽
+
+* 注：如镜像启动时ssh并未随命令开启，请切换至[容器内启动](https://github.com/FlagOpen/FlagPerf/blob/main/docs/utils/definitions/IN_CONTAINER_LAUNCH.md)

base/benchmarks/interconnect-MPI_interserver/mthreads/S4000/case_config.yaml

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+DIST_BACKEND: "mccl"

base/benchmarks/interconnect-MPI_interserver/mthreads/S4000/env.sh

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+echo "MTHREADS PLACEHOLDER ENV.SH"
+export MCCL_DEBUG=WARN
+export MCCL_PROTOS=2

base/benchmarks/interconnect-MPI_interserver/mthreads/S4000/requirements.txt

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+loguru