如何读取保存在 tensorflow 检查点文件中的权重? [英] How to read weights saved in tensorflow checkpoint file?
问题描述
我想读取权重并将它们可视化为图像.但我没有看到任何关于模型格式以及如何读取训练权重的文档.
There's this utility which has on print_tensors_in_checkpoint_file
method http://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/inspect_checkpoint.py>
或者,您可以使用 Saver
来恢复模型并在变量张量上使用 session.run
以获取 numpy 数组形式的值
I'd like to read the weights and visualize them as images. But I don't see any documentation about model format and how to read the trained weights.
There's this utility which has on print_tensors_in_checkpoint_file
method http://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/inspect_checkpoint.py
Alternatively, you can use Saver
to restore the model and use session.run
on variable tensors to get values as numpy arrays
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