Comments (10)
@dhingratul We will, but it may take some time.
from pocketflow.
Sorry, I do not fully understand your question. What do you mean by "optimized output from tf.Saver.save() from as the .pb file"?
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I am talking about the output from "Train the Compressed Model" in the tutorial, https://pocketflow.github.io/tutorial/. I am assuming as the next step is to export it as a TFLITE file, the output from the above step is a .pb file, I am looking for that file. I see you benchmarked your optimizations for Mobile Device, i am looking to do the same for the GPU, for which i need the .pb file before you generate the tflite file.
from pocketflow.
tools/conversion/export_pb_tflite_models.py
generates both *.pb and *.tflite model files, located in the same directory. Can you find them in the directory specified by --model_dir
?
from pocketflow.
The imagenet download is super slow, the last time I did that it took almost 3-4 days to complete. I just want to skip that and get the .pb file directly from that tutorial if possible.
from pocketflow.
Sorry, ChannelPrunedLearner
requires the imagenet data set to complete its training process. Maybe you can try using smaller data sets, like CIFAR-10? Some modification will be required:
nets/resnet_at_ilsvrc12_run.py
->nets/resnet_at_cifar10_run.py
- In
ImageClassifierFloatResNet.java
, change the image size and label file.
from pocketflow.
Yes, i understand, i was hoping that you have that you make the optimized model(after pruning) available so that i can do some benchmarks to make sure the results in terms of gains is reproducible on my machine.
from pocketflow.
Okay, we will release pre-trained compressed models for some selected pruning ratio in the next few weeks.
from pocketflow.
Enhancement required: release a few pre-trained compressed models for benchmark test.
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@jiaxiang-wu Were you able to publish the pre-trained compressed models ?
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Related Issues (20)
- cifar10_channel pruned 的示例,通道剪枝(channel_pruning) 导出修改了计算图之后,速度比之前的更慢了! HOT 1
- Can the compression method provided by pocketflow be applied to MASK R-CNN? HOT 1
- QQ group HOT 1
- 我可以只用模型压缩部分么?
- TypeError: forward_train() missing 1 required positional argument: 'objects'
- Missing 1 required positional argument in constructor : data_format
- Download Pretrain Model But Get 502 Bad Gateway Error HOT 1
- You must feed a value for placeholder tensor 'model/input_1' with dtype float and shape [?,160,240,1]
- Question about export_chn_pruned_tflite_model.py HOT 1
- TF Version compatibility HOT 2
- Failed to create session
- Is it possible to compress the keras model with Pocket Flow
- Question about UniformLearner HOT 2
- Default tensorboard log output is huge
- FRCNN with VOC: Cannot batch tensors with different shapes in component 1.
- IndexError: list index out of range HOT 3
- Other issues:
- auto 通道裁剪问题
- test
- TF-Plus for Multi-GPU Training
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