o #j%@shddlZddlZddlZgZddZddZddZdd Zd d Z d d Z ddZ ddZ ddZ dS)NcCsvtjjdgddd}tjddgdtjtjjddd }tjdgdd }tjjj |||d }tj |}|||fS) zD Define a simple network composed by a single linear layer. input)Nrfloat32)nameshapedtyperg?) initializer)rrattr)rr)xweightbias) paddlestaticdataZcreate_parameter ParamAttrnnr ConstantZ functionallineartensorsum)rr r linear_outoutr[/var/www/html/Deteccion_Ine/venv/lib/python3.10/site-packages/paddle/utils/install_check.py_simple_networks   rcCs*tjddgddggtjd}|dddS)zK Prepare feeding data for simple network. The shape is [1, 2, 2]. ?g@g@g@)rr)nparrayrZreshape)Znp_input_singlerrr _prepare_data*sr c CTzttjdks JWdSty)}ztd|WYd}~dSd}~ww)z* Check whether CUDA is available. rTzYou are using GPU version PaddlePaddle, but there is no GPU detected on your machine. Maybe CUDA devices is not set properly. 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ZgpuZxpucpur g?)value)rr r rr) weight_attr bias_attrMbP?Z learning_rate parametersN)rdisable_staticZ set_devicerrr rLinearr Z to_tensorrrbackward optimizerAdamr4step) use_cudause_xpu use_customcustom_device_namer0r1rZinput_npZ input_tensorrroptrrr_run_dygraph_singleTs4       r@c Cs&ttjtjxtj}tj}d|_tj||t\}}}tjj ||j gdd} Wdn1s?wY|rLt d} n|rTt d} n |r]t |d} nt} tj| } | || j||j ti|j | dj gdWdn1swYtdS)z Testing the simple network with executor running directly, using one CPU/GPU/XPU. 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Args: use_cuda (bool): Whether running with CUDA. use_xpu (bool): Whether running with XPU. device_list (int): The specified devices. )ZnprocsN)rrTZspawnrWr") device_listrrr _run_parallels rYc Cstdd}d}d}d}trt}n,trt}n$ttjj dkr@d}ttjj dkr@t d tjj d|rJd}tj }n+|rTd }tj }n!|rltjj d}|}tttjj|}n d }tj jdd }t|}t||||t||||td |d z't|dkr|rddl}d|jd<t|td|d|dtdWdSty}zt d|d|dt d|td|d|d}~ww)a Check whether PaddlePaddle is installed correctly and running successfully on your system. Examples: .. code-block:: python >>> import paddle >>> paddle.utils.run_check() >>> # doctest: +SKIP('the output will change in different run') Running verify PaddlePaddle program ... I0818 15:35:08.335391 30540 program_interpreter.cc:173] New Executor is Running. I0818 15:35:08.398319 30540 interpreter_util.cc:529] Standalone Executor is Used. PaddlePaddle works well on 1 CPU. PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now. z(Running verify PaddlePaddle program ... FNrTrzZMore than one kind of custom devices detected, but run check would only be executed on {}.ZGPUZXPUZCPU) device_countzPaddlePaddle works well on 1 .ZxcclZPADDLE_DISTRI_BACKENDzPaddlePaddle works well on  zs.zXPaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.z%PaddlePaddle meets some problem with aqs. This may be caused by: 1. There is not enough GPUs visible on your system 2. Some GPUs are occupied by other process now 3. NVIDIA-NCCL2 is not installed correctly on your system. Please follow instruction on https://github.com/NVIDIA/nccl-tests to test your NCCL, or reinstall it following https://docs.nvidia.com/deeplearning/sdk/nccl-install-guide/index.htmlz Original Error is: z7PaddlePaddle is installed successfully ONLY for single z2! 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