Comments (5)
Please check the tf version. This repo was implemented in tf 1.4.1 and python 2.7
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Please check the tf version. This repo was implemented in tf 1.4.1 and python 2.7
Thank you for your reply. I have solved this problem. But then I had another problem: I used two 2080Tis to run the program, but it was still out of memory. I tried to compress the capsule, but the effect was not ideal, and did not achieve the accuracy you achieved. So I want to ask you what kind of equipment you use to implement this project?
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This repo should not have the out-of-memory issue, because the number of labels and batch size are quite small, meaning that the routing is not expensive to run. I ran capsule-A with 1 GPU card (nvidia 1080) if I remember correctly.
from capsule_text_classification.
This repo should not have the out-of-memory issue, because the number of labels and batch size are quite small, meaning that the routing is not expensive to run. I ran capsule-A with 1 GPU card (nvidia 1080) if I remember correctly.
Okay, I'll check it again in case I miss any details. Thanks very much.
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Sure thing. Good luck!
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Related Issues (20)
- How do you split the dataset in the paper? HOT 1
- main.py: error: unrecognized arguments: -- model_type CNN --learning_rate 0.0005
- py-2 to py-3, int(num_classes)
- About CapsuleConv, FullyConnected layers. HOT 1
- What is leaky-softmax HOT 3
- hd5 file for other datasets, such as MR
- the dataset is valid! HOT 2
- For a single label task, how do you handle the output of the model ? HOT 1
- layer.py 101行 的 激活函数怎么理解? HOT 2
- Orphan Category HOT 1
- The loss don't change
- 数据在哪里获得
- "Coefficients Amendmen" strategy isn't implement in code
- 文本分类相关问题 HOT 3
- ValueError: num_outputs should be int or long, got 9.
- pytorch实现的代码 HOT 2
- 数据集
- Library requirements HOT 4
- 为什么我得不到你论文里面的结果? HOT 1
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