[Feature](bangc-ops): delete MLU270/MLU290 compile message and test f…

…ramework (Cambricon#362)
Shin-Wang · Jan 11, 2023 · 89f8e7a · 89f8e7a
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diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
@@ -25,7 +25,7 @@ For static threshold standard details, see: [MLU-OPS Accuracy Acceptance Standar
 
 |     No.      |           Details            |      Check Results       |
 |----------------|---------------------------|---------------------|
-|        1       |          Supported hardware         | MLU270 <br> MLU290 <br>MLU370<br>MLU590|
+|        1       |          Supported hardware         | MLU370<br>MLU590|
 |        2       |          Job types          |    block <br> U1 <br> U4    |
 |        3       |         Layouts            |  NHWC 、NCHW、ARRAY etc    |
 |        4       |         Whether multi-dimensions are supported              |                |
@@ -73,27 +73,13 @@ Operation:
 |Layout test          |Supports NCHW/NHWC|          |                 |
 |Zero element test    |Whether to support this test |          |                 |
 |Stability test       |--gtest_repeat=NUM<br>--thread=NUM |          |                 |
-|Mult-platform test   |MLU270/MLU290/MLU370/MLU590  |          |                 |
+|Mult-platform test   |MLU370/MLU590  |          |                 |
 |Nan/INF test        |Whether to support this test   |          |                 |
 
 ### 3.3 Performance Test
 
 See [MLU-OPS Performance Acceptance Standard](../docs/MLU-OPS-Performance-Acceptance-Standard.md) for details.
 
-Platform ：MLU270
-
-|Operation|Mlu_hardware_time(us)|Mlu_interface_time(us)|Mlu_io_efficiency|Mlu_compute_efficiency|Mlu_workwpace_size(Bytes)|Data_type|Shape|
-|-----|----|----|----|----|----|------|-----|
-|op_name|   |    |     |    |    |    |     |
-|op_name|   |    |     |    |    |    |     |
-
-Platform ：MLU290
-
-|Operation|Mlu_hardware_time(us)|Mlu_interface_time(us)|Mlu_io_efficiency|Mlu_compute_efficiency|Mlu_workwpace_size(Bytes)|Data_type|Shape|
-|-----|----|----|----|----|----|------|-----|
-|op_name|   |    |     |    |    |    |     |
-|op_name|   |    |     |    |    |    |     |
-
 Platform：MLU370
 
 |Operation|Mlu_hardware_time(us)|Mlu_interface_time(us)|Mlu_io_efficiency|Mlu_compute_efficiency|Mlu_workwpace_size(Bytes)|Data_type|Shape|

diff --git a/.github/workflows/bangcops_release_test.yaml b/.github/workflows/bangcops_release_test.yaml
@@ -9,7 +9,7 @@ jobs:
   test:
     strategy:
       matrix:
-        runner: [mlu270-x5k, mlu290-m5, mlu370-m8]
+        runner: [mlu370-m8]
         os: [ubuntu18.04, ubuntu20.04, debian10, centos7, centos8]
     runs-on: ${{matrix.runner}}
     steps:

diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
@@ -10,7 +10,7 @@ jobs:
   test:
     strategy:
       matrix:
-        runner: [mlu270-x5k, mlu290-m5, mlu370-m8]
+        runner: [mlu370-m8]
     runs-on: ${{matrix.runner}}
     steps:
       - uses: actions/checkout@v3

diff --git a/.github/workflows/daily.yaml b/.github/workflows/daily.yaml
@@ -8,7 +8,7 @@ jobs:
   test:
     strategy:
       matrix:
-        runner: [mlu270-x5k, mlu290-m5, mlu370-m8]
+        runner: [mlu370-m8]
     runs-on: ${{matrix.runner}}
     steps:
       - uses: actions/checkout@v3

diff --git a/bangc-ops/CMakeLists.txt b/bangc-ops/CMakeLists.txt
@@ -83,9 +83,7 @@ endif()
 
 if (NOT MLUOP_MLU_ARCH_LIST)
   message(STATUS "build all arch")
-  set(BANG_CNCC_FLAGS "${BANG_CNCC_FLAGS}" "--bang-mlu-arch=mtp_270"
-                                           "--bang-mlu-arch=mtp_290"
-                                           "--bang-mlu-arch=mtp_372"
+  set(BANG_CNCC_FLAGS "${BANG_CNCC_FLAGS}" "--bang-mlu-arch=mtp_372"
                                            "--bang-mlu-arch=mtp_592")
 else()
   foreach (arch ${MLUOP_MLU_ARCH_LIST})

diff --git a/bangc-ops/README.md b/bangc-ops/README.md
@@ -60,17 +60,14 @@
 
 - 多MLU平台架构编译
 
-  - 当不指定架构时，默认编译支持`MLU270/MLU290/MLU370`板卡的 `libmluops.so`，运行时动态选择`MLU270/MLU290/MLU370`
+  - 当不指定架构时，默认编译支持`MLU370`板卡的 `libmluops.so`，运行时动态选择`MLU370`
 
   - 编译指定MLU板卡
 
       ```sh
       ./build.sh            # 编译多架构的版本，libmluops.so 体积较大，cncc使用多arch的cnfatbin封装
-      ./build.sh  --mlu270  # 编译 MLU270 板卡专用版本，cncc使用选项--bang-mlu-arch=mtp_270
-      ./build.sh  --mlu290  # 编译 MLU290 板卡专用版本，cncc使用选项--bang-mlu-arch=mtp_290
       ./build.sh  --mlu370  # 编译 MLU370 板卡专用版本，cncc使用选项--bang-mlu-arch=mtp_372
-      ./build.sh  --mlu270 --filter="abs;expand"  # mlu270 下编译 abs 算子和 expand 算子
-      ./build.sh  --mlu270 --mlu370 --filter="abs;expand"  # mlu270 和 mlu370 下编译 abs 算子和 expand 算子
+      ./build.sh  --mlu370 --filter="abs;expand"  # mlu370 下编译 abs 算子和 expand 算子
       ```
 
 - kernel_depends.toml
@@ -91,7 +88,7 @@
   | `NEUWARE_HOME`              | 用户声明，或`source ../env.sh`设置 | neuware路径，包含cnrt,cndrv                            | `NEUWARE_HOME`              |                                      |
   | `MLUOP_BUILD_COVERAGE_TEST` | OFF                                | 代码覆盖率测试                                         | `MLUOP_BUILD_COVERAGE_TEST` | -c<br />--coverage                   |
   | `MLUOP_BUILD_ASAN_CHECK`    | OFF                                | 开启ASAN内存检查工具                                   | `MLUOP_BUILD_ASAN_CHECK`    | --asan                               |
-  | `MLUOP_MLU_ARCH_LIST`       | `mtp_270/mtp_290/mtp_372`          | 目标mlu架构列表，分号分割的字符串，如"mtp_270;mtp_372" | `MLUOP_MLU_ARCH_LIST`       | --mlu270<br />--mlu290<br />--mlu370 |
+  | `MLUOP_MLU_ARCH_LIST`       | `mtp_372`          | 目标mlu架构列表，分号分割的字符串，如"mtp_372" | `MLUOP_MLU_ARCH_LIST`       | --mlu370 |
   | `MLUOP_BUILD_SPECIFIC_OP`   | 空                                 | 编译指定的算子                                         | `MLUOP_BUILD_SPECIFIC_OP`   | --filter                             |
 
 

diff --git a/bangpy-ops/README.md b/bangpy-ops/README.md
@@ -53,30 +53,30 @@
 
 ## 运行测试用例
 
-首先确定当前的测试平台，如 `mlu270`，`mlu290` 等，之后可以用如下几种命令对算子进行测试：
+首先确定当前的测试平台，如 `mlu370`，之后可以用如下几种命令对算子进行测试：
 
 - 测试ops目录下的全部算子
   ```sh
   cd mlu-ops/bangpy-ops
-  ./utils/test_operators.sh --target=mlu2xx
+  ./utils/test_operators.sh --target=mlu3xx
   ```
 - 使用 `--filter` 测试指定的一个或多个算子
   ```sh
   cd mlu-ops/bangpy-ops
-  ./utils/test_operators.sh --filter=axx,bxx,cxx --target=mlu2xx
+  ./utils/test_operators.sh --filter=axx,bxx,cxx --target=mlu3xx
   ```
 - 使用 `--opsfile` 从存放算子列表的文件中读取指定算子并进行测试
   ```sh
   cd mlu-ops/bangpy-ops
-  ./utils/test_operators.sh --opsfile=./ops_xxx.txt --target=mlu2xx
+  ./utils/test_operators.sh --opsfile=./ops_xxx.txt --target=mlu3xx
   ```
 
 `注意` :
 - 如果将指定算子列表存放在文件中，其格式是每行一个算子。
 - 该脚本默认是每个算子先进行编译，再进行测试，如果想跳过编译阶段而直接进行测试，那么请在保证已完成算子编译的情况下对以上三种不同的 `./utils/test_operators.sh` 调用加上 `--only_test` 选项，例如
   ```sh
   cd mlu-ops/bangpy-ops
-  ./utils/test_operators.sh --target=mlu2xx --only_test
+  ./utils/test_operators.sh --target=mlu3xx --only_test
   ```
 测试结果会在所有算子测试完毕后显示。
 
@@ -92,7 +92,7 @@
 - 生成并测试该包含ops目录下全部算子的算子库文件
   ```sh
   cd mlu-ops/bangpy-ops
-  ./release.sh -r -t --target=mlu2xx
+  ./release.sh -r -t --target=mlu3xx
   ```
 - `--filter` 及 `--opsfile` 参数对该脚本同样适用
   ```sh

diff --git a/docs/MLU-OPS-Test-Report-Template.md b/docs/MLU-OPS-Test-Report-Template.md
@@ -18,7 +18,7 @@
 
 |      序号      |           需求            |      需求详情       |
 |----------------|---------------------------|---------------------|
-|        1       |          支持硬件         | MLU270 <br> MLU290 <br>MLU370|
+|        1       |          支持硬件         | MLU370|
 |        2       |          job类型          |    block <br> U1 <br> U4    |
 |        3       |         layout            |  支持NHWC 、NCHW、ARRAY等layout    |
 |        4       |         多维              |       是否支持多维         |
@@ -56,20 +56,6 @@
 
 详见：[MLU-OPS性能验收标准](./MLU-OPS-Performance-Acceptance-Standard.md)
 
-平台：MLU270
-
-|operator|mlu_hardware_time(us)|mlu_interface_time(us)|mlu_io_efficiency|mlu_compute_efficiency|mlu_workwpace_size(Bytes)|data_type|shape|
-|-----|----|----|----|----|----|------|-----|
-|op_name|   |    |     |    |    |    |     |
-|op_name|   |    |     |    |    |    |     |
-
-平台：MLU290
-
-|operator|mlu_hardware_time(us)|mlu_interface_time(us)|mlu_io_efficiency|mlu_compute_efficiency|mlu_workwpace_size(Bytes)|data_type|shape|
-|-----|----|----|----|----|----|------|-----|
-|op_name|   |    |     |    |    |    |     |
-|op_name|   |    |     |    |    |    |     |
-
 平台：MLU370
 
 |operator|mlu_hardware_time(us)|mlu_interface_time(us)|mlu_io_efficiency|mlu_compute_efficiency|mlu_workwpace_size(Bytes)|data_type|shape|