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Hi, How can this be used for LSTM layers?
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According to [a recent paper on LSTM sentiment analysis](https://link.springer.com/chapter/10.1007/978-3-319-39958-4_19), using a bidirectional RNN instead of a regular ("one-way") one might lead to i…
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- [x] Preprocess the text entailment dataset and convert sentences into numerical representations (e.g., word embeddings).
- [x] Train an LSTM RNN model on the preprocessed dataset to predict the ent…
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### 🐛 Describe the bug
When using `torch.nn.functional.scaled_dot_product_attention` with autograd a tensor filled with NaN values are returned after a few backward passes. `Using torch.autograd.s…
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I made a custom model with lstm layers, and found it may be possible to use directml, then encountered the error:
NotImplementedError: Could not run 'aten::_thnn_fused_lstm_cell' with arguments fro…
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몇몇 공휴일로 인하여 하나씩 땡겨진거 같아서 보충하여 다시 한번 학습이 필요해보임
https://colab.research.google.com/drive/1WeVXGAXgsDnSIc4XDRi-2EkmoHU_TW8_?hl=ko#scrollTo=2qpW_zT2AUHX
출처:
https://github.com/roboreport/mltoolkit/blob/…
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**There is a problem with saving data to the bucket:**
2024-09-25 13:51:30,266 - DEBUG - [monitoring_eu.nebulouscloud.monitoring.realtime.>] checking if link is the same 5460d196-d6aa-40aa-8c88-9e296…
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### What happened + What you expected to happen
I am running a cross-validation with:
`neuralforecast.cross_validation(df=df, n_windows=n_windows, step_size=step_size)`
n_windows = 30 and step_size…
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minimal repro of lstm being slow on first forward pass.
could be sped up with use of .realize but should also work without as i understand
seems to correlate with T^2
``` python
from tinygrad im…
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Καλησπέρα,
θα ήθελα να ρωτήσω για την ασκήση μας, σε ενα bidirectional RNN στο backward κομμάτι το output που μας ενδιαφέρει δεν θα έπρεπε να είναι το αντίστοιχο τελευταιο χρονικό βήμα πριν το padd…