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2026 #206

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75a6844
updated Liquid model name in lab 3
shrika-eddula Dec 23, 2025
cc8abbd
should be state instead of hidden_state as per solutions
shrika-eddula Dec 23, 2025
84e329f
ptp was removed from the ndarray class in NumPy 2.0. Use np.ptp(arr, …
shrika-eddula Dec 23, 2025
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14 changes: 7 additions & 7 deletions lab1/PT_Part2_Music_Generation.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -652,6 +652,11 @@
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "GuGUJB0ZT_Uo"
},
"outputs": [],
"source": [
"### compute the loss on the predictions from the untrained model from earlier. ###\n",
"y.shape # (batch_size, sequence_length)\n",
Expand All @@ -663,12 +668,7 @@
"\n",
"print(f\"Prediction shape: {pred.shape} # (batch_size, sequence_length, vocab_size)\")\n",
"print(f\"scalar_loss: {example_batch_loss.mean().item()}\")"
],
"metadata": {
"id": "GuGUJB0ZT_Uo"
},
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "markdown",
Expand Down Expand Up @@ -906,7 +906,7 @@
"\n",
" for i in tqdm(range(generation_length)):\n",
" '''TODO: evaluate the inputs and generate the next character predictions'''\n",
" predictions, hidden_state = model('''TODO''', '''TODO''', return_state=True) # TODO\n",
" predictions, state = model('''TODO''', '''TODO''', return_state=True) # TODO\n",
"\n",
" # Remove the batch dimension\n",
" predictions = predictions.squeeze(0)\n",
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