TensorFlow安装--(方法3)Anaconda方式下查看TensorFlow版本选择性安装(Windows10 64位CPU/GPU)
tensorflow
一个面向所有人的开源机器学习框架
项目地址:https://gitcode.com/gh_mirrors/te/tensorflow

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其它环节与通过Anaconda环境配置方式一样,就是在安装TensorFlow时不直接使用pip install --upgrade --ignore-installed tensorflow-gpu
命令,而是根据需求选择TensorFlow版本安装。
1.执行命令anaconda search -t conda tensorflow
,会显示出目前可供选择的tensorflow版本,按平台选择版本
2.执行命令anaconda show conda-forge/tensorflow
获取对应版本的安装命令conda-forge/tensorflow为选择的版本名称
3.执行上图得到的安装命令conda install --channel http://conda.anaconda.org/conda-forge tensorflow
,安装开始




一个面向所有人的开源机器学习框架
最近提交(Master分支:2 个月前 )
4f64a3d5
Instead, check for this case in `ResolveUsers` and `ResolveOperand`, by querying whether the `fused_expression_root` is part of the `HloFusionAdaptor`.
This prevents us from stepping into nested fusions.
PiperOrigin-RevId: 724311958
2 个月前
aa7e952e
Fix a bug in handling negative strides, and add a test case that exposes it.
We can have negative strides that are not just -1, e.g. with a combining
reshape.
PiperOrigin-RevId: 724293790
2 个月前
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