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[DOC] update readme for 2.6.0 (#872)
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backends/custom_cpu/README.md

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@@ -34,7 +34,7 @@ git submodule update --remote --init --recursive
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cd backends/custom_cpu
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# before compiling, ensure that Paddle is installed, you can run the following command
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pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html
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pip install paddlepaddle==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
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# create the build directory and navigate in
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mkdir build && cd build

backends/custom_cpu/README_cn.md

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@@ -34,7 +34,7 @@ git submodule update --remote --init --recursive
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cd backends/custom_cpu
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# 编译之前需要先保证环境下装有Paddle WHL包,可以直接安装CPU版本
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pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html
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pip install paddlepaddle==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
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# 创建编译目录并编译
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mkdir build && cd build

backends/custom_cpu/README_ja.md

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@@ -34,7 +34,7 @@ git submodule update --remote --init --recursive
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cd backends/custom_cpu
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# コンパイルする前に、Paddle がインストールされていることを確認してください
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pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html
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pip install paddlepaddle==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
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# ビルドディレクトリを作成し
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mkdir build && cd build

backends/gcu/README.md

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@@ -24,7 +24,7 @@ cd backends/gcu
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# 2) Before compiling, you need to ensure that the PaddlePaddle installation package is installed in the environment.
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# Just install the PaddlePaddle CPU version directly.
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python -m pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html
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pip install paddlepaddle==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
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# 3) Start compiling, and submodules will be downloaded on demand during compilation.
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mkdir -p build && cd build

backends/gcu/README_cn.md

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@@ -23,7 +23,7 @@ cd PaddleCustomDevice
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cd backends/gcu
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# 2) 编译之前需确保环境下装有飞桨安装包,直接安装飞桨CPU版本即可
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python -m pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html
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pip install paddlepaddle==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
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# 3) 编译,编译时会按需下载submodule
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mkdir -p build && cd build

backends/intel_gpu/README.md

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@@ -27,7 +27,7 @@ git submodule update --remote --init --recursive
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cd backends/intel_gpu
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# before compiling, ensure that Paddle is installed, you can run the following command
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pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html
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pip install paddlepaddle==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
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# create the build directory and navigate in
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mkdir build && cd build

backends/mlu/README.md

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@@ -44,7 +44,7 @@ cd PaddleCustomDevice
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cd backends/mlu
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# 2. before compiling, ensure that PaddlePaddle (CPU version) is installed, you can run the following command
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pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html
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pip install paddlepaddle==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
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# 3. compile options, whether to compile with unit testing, default is ON
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export WITH_TESTING=OFF
@@ -68,7 +68,7 @@ python -c "import paddle; print(paddle.device.get_all_custom_device_type())"
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# 2. check installed custom mlu version
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python -c "import paddle_custom_device; paddle_custom_device.mlu.version()"
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# expected output
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version: 0.0.0
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version: 2.6.0
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commit: 55f88ebff9297f2f4b90d61e211d2cf2784f2ad9
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cntoolkit: 3.7.2
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cnnl: 1.22.0

backends/mlu/README_cn.md

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@@ -45,7 +45,7 @@ cd PaddleCustomDevice
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cd backends/mlu
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# 2) 编译之前需要先保证环境下装有飞桨安装包,直接安装飞桨 CPU 版本即可
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pip install paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html
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pip install paddlepaddle==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
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# 3) 编译选项,是否打开单元测试编译,默认值为 ON
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export WITH_TESTING=OFF
@@ -68,7 +68,7 @@ python -c "import paddle; print(paddle.device.get_all_custom_device_type())"
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# 2) 检查当前安装版本
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python -c "import paddle_custom_device; paddle_custom_device.mlu.version()"
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# 预期得到如下输出结果
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version: 0.0.0
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version: 2.6.0
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commit: 55f88ebff9297f2f4b90d61e211d2cf2784f2ad9
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cntoolkit: 3.7.2
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cnnl: 1.22.0

backends/mlu/tools/disable_ut_mlu

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@@ -7,3 +7,5 @@ test_collective_api
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test_parallel_dygraph_pipeline_parallel
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test_set_value_op_mlu
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test_dygraph_sharding_stage_3
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test_bilinear_interp_v2_op_mlu
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test_compare_op_mlu

backends/npu/README.md

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@@ -40,9 +40,9 @@ cd backends/npu
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# 2. please ensure the PaddlePaddle cpu whl package is already installed
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# the development docker image NOT have PaddlePaddle cpu whl installed by default
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# you may download and install the nightly built cpu whl package with links below
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https://paddle-device.bj.bcebos.com/develop/cpu/paddlepaddle-0.0.0-cp39-cp39-linux_x86_64.whl
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https://paddle-device.bj.bcebos.com/develop/cpu/paddlepaddle-0.0.0-cp39-cp39-linux_aarch64.whl
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# you may download and install the PaddlePaddle CPU 2.6.0 whl package with links below
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https://paddle-device.bj.bcebos.com/2.6.0/cpu/paddlepaddle-2.6.0-cp39-cp39-linux_x86_64.whl
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https://paddle-device.bj.bcebos.com/2.6.0/cpu/paddlepaddle-2.6.0-cp39-cp39-linux_aarch64.whl
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# 3. compile options, whether to compile with unit testing, default is ON
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export WITH_TESTING=OFF
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# 2. check installed custom npu version
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python -c "import paddle_custom_device; paddle_custom_device.npu.version()"
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# expected output
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version: 0.0.0
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version: 2.6.0
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commit: d354e1ba347612fe68447e8530d3cd1a0f8aaba9
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cann: 6.0.1
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backends/npu/README_cn.md

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@@ -39,9 +39,9 @@ cd PaddleCustomDevice
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cd backends/npu
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# 2) 编译之前需要先保证环境下装有飞桨安装包,直接安装飞桨 CPU 版本即可
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# 默认开发镜像中不含有飞桨安装包,可通过如下地址安装 PaddlePaddle develop 分支的 nightly build 版本的安装包
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https://paddle-device.bj.bcebos.com/develop/cpu/paddlepaddle-0.0.0-cp39-cp39-linux_x86_64.whl
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https://paddle-device.bj.bcebos.com/develop/cpu/paddlepaddle-0.0.0-cp39-cp39-linux_aarch64.whl
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# 默认开发镜像中不含有飞桨安装包,可通过如下地址安装 PaddlePaddle CPU 2.6.0 版本的安装包
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https://paddle-device.bj.bcebos.com/2.6.0/cpu/paddlepaddle-2.6.0-cp39-cp39-linux_x86_64.whl
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https://paddle-device.bj.bcebos.com/2.6.0/cpu/paddlepaddle-2.6.0-cp39-cp39-linux_aarch64.whl
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# 3) 编译选项,是否打开单元测试编译,默认值为 ON
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export WITH_TESTING=OFF
@@ -64,7 +64,7 @@ python -c "import paddle; print(paddle.device.get_all_custom_device_type())"
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# 2) 检查当前安装版本
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python -c "import paddle_custom_device; paddle_custom_device.npu.version()"
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# 预期得到如下输出结果
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version: 0.0.0
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version: 2.6.0
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commit: d354e1ba347612fe68447e8530d3cd1a0f8aaba9
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cann: 6.0.1
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