[英]alternative to tf_frozen_model in tensorflowjs_converter
I am new to tensorflow and installed the current tensorflowjs(1.1.2) through pip, since I want to convert a frozen inference graph ( .pb
) to a tensorflowjs file ( --output_format=tensorflowjs
). 我是tensorflow的新手,并通过pip安装了当前的tensorflowjs(1.1.2),因为我想将一个冻结的推理图( .pb
)转换为tensorflowjs文件( --output_format=tensorflowjs
)。 I followed a tutorial where --input_format=tf_frozen_model
is suggested, this version of tensorflowjs, however is not supporting such option anymore and returns an error message error:argument --input_format: invalid choice: 'tf_frozen_model'
. 我按照教程建议--input_format=tf_frozen_model
,这个版本的tensorflowjs不再支持这样的选项并返回错误消息error:argument --input_format: invalid choice: 'tf_frozen_model'
。 Has this option been replaced completely, or only renamed? 此选项是否已完全替换,或仅重命名? I tried to install version tensorflowjs v.0.8.0
, which resulted in a bunch of ImportErrors (for Keras) and dependency conflicts. 我试图安装版本tensorflowjs v.0.8.0
,这导致了一堆ImportErrors(用于Keras)和依赖冲突。 Do I miss something here? 我在这里想念一下吗?
Modern versions of the tensorflowjs
package no longer convert from frozen models
. tensorflowjs
包的现代版本不再从frozen models
转换。 From https://github.com/tensorflow/tfjs-converter : 来自https://github.com/tensorflow/tfjs-converter :
Note: If you want to convert TensorFlow frozen model or session bundle, you can install older versions of the tensorflowjs pip package, ie pip install tensorflowjs==0.8.6 注意:如果要转换TensorFlow冻结模型或会话包,可以安装旧版本的tensorflowjs pip包,即pip install tensorflowjs == 0.8.6
. 。 Hope it helps. 希望能帮助到你。
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