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task_fea = [emb for i in range(self.task_num + 1)]
for i in range(self.layers_num):
for j in range(self.task_num + 1):
fea = torch.cat([self.expert[i][in…
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想问下是否有支持多目标推荐的计划呢?比如mmoe等
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env: A100 8gpu + horovod
framework: DeepRec1.15.5 vs nvidia-tensorflow 1.15.4
model: transformer + mmoe
result: DeepRec 1.8s/step, nv-tf:0.55s/step
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Multi-task learning typically works better with a form of mixture-of-experts layers. It would be valuable to port this to T4Rec and integrate it natively in our head-API. There are some off-the-shelve…
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There seems to be issues for us in configuring the Pipeline. Our runs produce the error message of ...
D:\RunFromALM\UFTWorking\HpToolsLauncher.exe -paramfile D:\RunFromALM\UFTWorking\props\Props0…
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error in training phase
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Error: Cannot open file model_stage3/mmoe_video_v1_2020_09_24_20_10_23_2.8341595313204144_2.833708877872916_5.956663941128373/batch_norm_1.w_0 for load op at (/home/teamcity/work/ef54dc8a5b211854/padd…
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**System information**
- TensorFlow version (you are using):2.6.0
- Are you willing to contribute it (Yes/No):Yes
**Describe the feature and the current behavior/state.**
```tf.data.experimental…
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Hi~
I want to combine regression task and classification task in one model, but I found the regression loss and classification loss are so different, so it's too hard to optimize?
Can you give m…