• TensorLayerX 0.5.7 Release

    laich 2 years ago 4 commits to master since this release

    TensorLayerX 0.5.7为维护版本。 在这个版本中,我们有以下更改。

    • 修复了PyTorch后端depthtospace算子

    • 修复了训练时多个输入报错问题

    • 增加了TensorLayerX任意计算后端训练好的模型可以导入到TensorLayerX的任意计算后端

    • 增加了从PyTorch,Paddle训练好的模型导入到TensorLayerX的例子

    • 增加roll、 logsoftmax算子

    请随意使用并提出建议!

     
  • TensorLayerX 0.5.6 release

    laich 2 years ago 12 commits to master since this release

    TensorLayerX 0.5.6为维护版本。 在这个版本中,我们有以下更改。

    • 修复了ONNX节点采集顺序模式。

    • 修复了RNN LSTM GRU训练参数的bug 。

    • 修复了DepthWiseConv2d不同后端参数不一致的问题 。

    • 修复了保存参数到npz的bug 。

    • 更新padding层。

    请随意使用并提出建议!

     
  • TensorLayerX 0.5.5 release

    laich 2 years ago 24 commits to master since this release

    TensorLayerX 0.5.5 是一个维护版本, 在这个版本中我们做了以下修改.

    • 添加了get_device, to_device算子.
    • 将平均池化层的参数名称做了修改如AvgPool1d, GlobalAvgPool1d, AdaptiveAvgPool1d, AvgPool2d, GlobalAvgPool2d 等.
    • 修复了 LSTM RNN GRU.
    • 修复了TensorFlow后端ParameterList和ParameterDict训练参数没有收集到的错误.
    • 修复了对MindSpore1.7.0版本的支持.
      欢迎使用并提出建议!
     
  • tensorlayer3-v1.2.0

    laich 3 years ago 78 commits to master since this release

    TensorLayer3 1.2.0 is a maintenance release.

    Version 1.2.0 of Tensorlayer3 already supports the TensorFlow/MindSpore/PaddlePaddle backend, and we have made the following updates compared to version 1.0.1.

    Added

    • Transformer, MaskedConv3D.
    • Backends docs.
    • Update backends.
    • WithGrad

    Changed

    Dependencies Update

    Deprecated

    Fixed

    • Fix tensorlayer core.

    Removed

    Security

    Contributors

     
  • tensorlayer3-v1.0.1

    laich 3 years ago 128 commits to master since this release

    Dear all,

    TensorLayer3 is a deep learning library designed for researchers and engineers that is compatible with multiple deep learning frameworks such as TensorFlow, MindSpore and PaddlePaddle, allowing users to run the code on different hardware like Nvidia-GPU and Huawei-Ascend. It provides popular DL and RL modules that can be easily customized and assembled for tackling real-world machine learning problems.

    TensorLayer3 is a maintenance release.

     
  • tensorlayer3.0

    laich 3 years ago 176 commits to master since this release

    Dear all,

    It is our great honour to pre-released TensorLayer 3.0.
    It supports TensorFlow and MindSpore backends, and supports some PaddlePaddle operator backends, allowing users to run the code on different hardware like Nvidia-GPU and Huawei-Ascend.

    In the next step, we support TensorFlow, MindSpore, PaddlePaddle, and PyTorch backends in the future. Feel free to use it and make suggestions.

    TensorLayer 3.0 is a maintenance release.

     
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