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.doctrees/api/einsum.doctree

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.doctrees/api/operations.doctree

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.doctrees/nbsphinx/guides/dev_guide.ipynb

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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Split 0 shape: torch.Size([5, 5, 2, 1])\n",
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"Split 1 shape: torch.Size([5, 1, 2, 1])\n"
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"ename": "TypeError",
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"evalue": "Can't instantiate abstract class RandomSplit with abstract method merge_split_indices",
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"output_type": "error",
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"traceback": [
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"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
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"\u001b[31mTypeError\u001b[39m Traceback (most recent call last)",
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"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[8]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;66;03m# Test RandomSplit\u001b[39;00m\n\u001b[32m 2\u001b[39m leaf = Normal(scope=Scope(\u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mrange\u001b[39m(\u001b[32m6\u001b[39m))), out_channels=\u001b[32m2\u001b[39m)\n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m split = \u001b[43mRandomSplit\u001b[49m\u001b[43m(\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mleaf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_splits\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mseed\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m123\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 5\u001b[39m data = torch.randn(\u001b[32m5\u001b[39m, \u001b[32m6\u001b[39m)\n\u001b[32m 6\u001b[39m lls = split.log_likelihood(data)\n",
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"\u001b[31mTypeError\u001b[39m: Can't instantiate abstract class RandomSplit with abstract method merge_split_indices"
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]
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}
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],
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@@ -897,6 +900,11 @@
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"main_language": "python",
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"notebook_metadata_filter": "-all"
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},
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"kernelspec": {
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",

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