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Fix/add no_grad() for batch_predict() #340

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Jul 6, 2023
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Fix/add no_grad() for batch_predict() #340

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6 changes: 3 additions & 3 deletions fsrs4anki_optimizer.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# FSRS4Anki v3.26.0 Optimizer\n",
"# FSRS4Anki v3.26.1 Optimizer\n",
"\n",
"[![open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-spaced-repetition/fsrs4anki/blob/v3.26.0/fsrs4anki_optimizer.ipynb)\n",
"[![open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-spaced-repetition/fsrs4anki/blob/v3.26.1/fsrs4anki_optimizer.ipynb)\n",
"\n",
"↑ Click the above button to open the optimizer on Google Colab.\n",
"\n",
Expand Down Expand Up @@ -106,7 +106,7 @@
}
],
"source": [
"%pip install -q fsrs4anki_optimizer==3.26.0\n",
"%pip install -q fsrs4anki_optimizer==3.26.1\n",
"# for local development\n",
"# import os\n",
"# import sys\n",
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7 changes: 4 additions & 3 deletions package/fsrs4anki_optimizer/fsrs4anki_optimizer.py
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Expand Up @@ -312,9 +312,10 @@ def predict(self, t_history: str, r_history: str):

def batch_predict(self, dataset):
fast_dataset = RevlogDataset(dataset)
outputs, _ = self.model(fast_dataset.x_train.transpose(0, 1))
stabilities, difficulties = outputs[fast_dataset.seq_len-1, torch.arange(len(fast_dataset))].transpose(0, 1)
return stabilities.tolist(), difficulties.tolist()
with torch.no_grad():
outputs, _ = self.model(fast_dataset.x_train.transpose(0, 1))
stabilities, difficulties = outputs[fast_dataset.seq_len-1, torch.arange(len(fast_dataset))].transpose(0, 1)
return stabilities.tolist(), difficulties.tolist()

"""Used to store all the results from FSRS related functions"""
class Optimizer:
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2 changes: 1 addition & 1 deletion package/pyproject.toml
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Expand Up @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"

[project]
name = "fsrs4anki_optimizer"
version = "3.26.0"
version = "3.26.1"
readme = "README.md"
dependencies = [
"matplotlib>=3.7.0",
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