海信LED32K11G显示屏原厂固件备份文件

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资源摘要信息:"海信LED32K11G配BE315DH-E04屏.zip" 该文件标题表明这是一个与海信LED32K11G型号电视机相关的备份数据包,其中包含了BE315DH-E04型号的屏幕固件或相关文件。海信(Hisense)是一家知名的中国电子企业,以生产消费电子、家用电器及通信设备而闻名。LED32K11G是海信旗下的一款LED背光液晶电视产品,而BE315DH-E04可能是指该电视屏幕型号,或是固件名称。 描述中的“原机备份数据”意味着该压缩包内容为海信LED32K11G电视机的原始状态下的固件备份。固件通常是指嵌入在硬件设备中的软件,它是操作系统和应用程序运行的基础,固件升级能够修复已知问题和提升设备性能,但如果不当操作可能会导致设备故障。因此备份固件数据是维修和升级时非常重要的一个步骤,可以帮助用户在出现问题时快速恢复设备到正常工作状态。 文件标签“海信”进一步确认了该备份数据包与海信品牌相关。 在提供的压缩包子文件的文件名称列表中,我们可以看到如下几个文件: - MST_EXT_SPI #ISP_***_201457.BIN:这是一个二进制文件,可能是ISP(In-System Programming)固件文件,用于内部系统编程。ISP是用于微控制器和可编程逻辑设备的原地编程技术。文件名中日期标记表明这是在2015年3月27日晚上8点14分57秒创建的版本。这个文件通常用于升级或恢复电视机的主控芯片(MCU)固件。 - IMG_***_195555.jpg、IMG_***_195550.jpg、IMG_***_195632.jpg、IMG_***_195254.jpg:这些文件是JPEG格式的图片文件,文件名中带有连续的日期和时间戳。这些图片可能是与固件升级过程相关的屏幕截图,记录了升级过程中的某些步骤或状态,这对于固件升级前后的对比分析很有帮助。 - Print.log:这是一个文本格式的日志文件,记录了某些打印操作或输出信息,可能包含了电视机在固件升级过程中打印输出的错误信息、状态信息等,对于分析固件升级失败或排查问题非常重要。 综上所述,这个压缩包包含了海信LED32K11G电视机的原始固件备份和相关的升级过程记录文件。这对于海信电视机的维修人员、技术支持人员以及高级用户来说,是一个非常有价值的资源。他们可以使用这些文件来诊断、修复和升级电视机,确保设备能够正常工作。同时,这些文件也对于研究海信LED电视的工作原理和故障排除方法具有重要作用。

Collecting tensorflow-gpu Downloading tensorflow-gpu-2.12.0.tar.gz (2.6 kB) Preparing metadata (setup.py) ... done Collecting python_version>"3.7" Downloading python_version-0.0.2-py2.py3-none-any.whl (3.4 kB) Building wheels for collected packages: tensorflow-gpu Building wheel for tensorflow-gpu (setup.py) ... error error: subprocess-exited-with-error × python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [18 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> File "<pip-setuptools-caller>", line 34, in <module> File "C:\Users\hzw2862612151\AppData\Local\Temp\pip-install-ksfqxluq\tensorflow-gpu_26b4be8966e04f88beecf8ba93d216a3\setup.py", line 37, in <module> raise Exception(TF_REMOVAL_WARNING) Exception: ========================================================= The "tensorflow-gpu" package has been removed! Please install "tensorflow" instead. Other than the name, the two packages have been identical since TensorFlow 2.1, or roughly since Sep 2019. For more information, see: pypi.org/project/tensorflow-gpu ========================================================= [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for tensorflow-gpu Running setup.py clean for tensorflow-gpu Failed to build tensorflow-gpu Installing collected packages: python_version, tensorflow-gpu Running setup.py install for tensorflow-gpu ... error error: subprocess-exited-with-error × Running setup.py install for tensorflow-gpu did not run successfully. │ exit code: 1 ╰─> [18 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> File "<pip-setuptools-caller>", line 34, in <module> File "C:\Users\hzw2862612151\AppData\Local\Temp\pip-install-ksfqxluq\tensorflow-gpu_26b4be8966e04f88beecf8ba93d216a3\setup.py", line 37, in <module> raise Exception(TF_REMOVAL_WARNING) Exception: ========================================================= The "tensorflow-gpu" package has been removed! Please install "tensorflow" instead. Other than the name, the two packages have been identical since TensorFlow 2.1, or roughly since Sep 2019. For more information, see: pypi.org/project/tensorflow-gpu ========================================================= [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: legacy-install-failure × Encountered error while trying to install package. ╰─> tensorflow-gpu note: This is an issue with the package mentioned above, not pip. hint: See above for output from the failure.安装过程出错

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