Comments (9)
from tinyneuralnetwork.
等下,这个需要tf.lite.OpsSet.SELECT_TF_OPS
的吧,我们暂时还不想碰这些东西
from tinyneuralnetwork.
话说你可以用contrib里面的tflite2tf(生成tf.function)再结合你这段代码来暂时满足这个需求
from tinyneuralnetwork.
等下,这个需要
tf.lite.OpsSet.SELECT_TF_OPS
的吧,我们暂时还不想碰这些东西
啊,不需要tf.lite.OpsSet.SELECT_TF_OPS, 这只是网页的示例,我只需要生成多个graph的需求满足就行了
from tinyneuralnetwork.
tflite2tf(生成tf.function)
我先试一下这个tflite2tf,不过感觉支持的op不是很多,可能不太能满足需求。
from tinyneuralnetwork.
等下,这个需要
tf.lite.OpsSet.SELECT_TF_OPS
的吧,我们暂时还不想碰这些东西啊,不需要tf.lite.OpsSet.SELECT_TF_OPS, 这只是网页的示例,我只需要生成多个graph的需求满足就行了
那我这边先前期研究一下,说实话我更偏向于添加把多个graph给merge起来的功能,这样至少core代码不用动
from tinyneuralnetwork.
tflite2tf(生成tf.function)
我先试一下这个tflite2tf,不过感觉支持的op不是很多,可能不太能满足需求。
不够可以添加的,这个难度不高,你懂的
from tinyneuralnetwork.
等下,这个需要
tf.lite.OpsSet.SELECT_TF_OPS
的吧,我们暂时还不想碰这些东西啊,不需要tf.lite.OpsSet.SELECT_TF_OPS, 这只是网页的示例,我只需要生成多个graph的需求满足就行了
那我这边先前期研究一下,说实话我更偏向于添加把多个graph给merge起来的功能,这样至少core代码不用动
嗯嗯,那非常感谢了!
主要是现在有一些需求是固定一个backone, 后面接不同的功能,如果能分开graph的化会比较灵活
from tinyneuralnetwork.
等下,这个需要
tf.lite.OpsSet.SELECT_TF_OPS
的吧,我们暂时还不想碰这些东西啊,不需要tf.lite.OpsSet.SELECT_TF_OPS, 这只是网页的示例,我只需要生成多个graph的需求满足就行了
那我这边先前期研究一下,说实话我更偏向于添加把多个graph给merge起来的功能,这样至少core代码不用动
嗯嗯,那非常感谢了! 主要是现在有一些需求是固定一个backone, 后面接不同的功能,如果能分开graph的化会比较灵活
这边试了下,确实是不需要tf的ops就可以完成转换,主要需要支持TFLite Model的SubGraphs以及SignatureDefs,工作量在于需要把不同的SubGraph的信息读出来重新进行组织成新的Model。如前面所说的,会新增一个将多个tflite模型合并在一起的一个函数
from tinyneuralnetwork.
Related Issues (20)
- torch.max not working HOT 2
- OneShotChannelPruner results in the miss of some operators HOT 4
- KeyError when executing quantization HOT 5
- PyTorch 转 TFLite 使用 int8 量化 HOT 4
- Does tinynn support following int16 quantization? HOT 1
- jit.trace succeed but tinynn tracer failed HOT 1
- It became larger after converting to tflite model HOT 4
- how to do Post-training integer quantization with int16 activation HOT 4
- unnecessary float() variables cause quantization to fail. HOT 7
- aten::index nodes take multiple indices in PyTorch model but cause an error when trying to convert to TFLite HOT 1
- aten::repeat_interleave is considered an unsupported Tensor and causing an error when trying to convert to TFLite HOT 2
- convert model error HOT 5
- [PTQ Converter] 'Linear+relu' module conversion failed HOT 9
- [quantizer] activation nodes that was used multiple times will not work with OP fusion
- [converter] aten::pad with mode="circular"
- [converter] batchnorm + conv fusion
- [Converter] TFLite size is larger than expected HOT 7
- ONNX进行QAT报错 HOT 3
- OneShot Pruning Tensor Size Mismatch Error HOT 4
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from tinyneuralnetwork.