rrayy
commited on
Commit
·
788e3af
1
Parent(s):
1ba869c
Changes to be committed: 토크나이저에 맞게 데이터 수정
Browse filesmodified: DIVA_dataset.pt
modified: data/11.mid
modified: data/12.mid
modified: data/13.mid
modified: data/15.mid
modified: data/33.mid
modified: data/7.mid
modified: preprocessing.ipynb
- DIVA_dataset.pt +2 -2
- data/11.mid +0 -0
- data/12.mid +0 -0
- data/13.mid +0 -0
- data/15.mid +0 -0
- data/33.mid +0 -0
- data/7.mid +0 -0
- preprocessing.ipynb +133 -135
DIVA_dataset.pt
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 249037
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preprocessing.ipynb
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@@ -336,8 +336,6 @@
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" EOS = torch.full((1, 7), 100, dtype=torch.long)\n",
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" Y_tensor.append(torch.cat([token, EOS], dim=0))\n",
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"\n",
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"seq_lengths = torch.tensor([len(seq) for seq in Y_tensor])\n",
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"\n",
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"# 패딩 처리\n",
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"padded_Y = pad_sequence(Y_tensor, batch_first=True, padding_value=-1) # (batch_size, max_len, 7)"
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]
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"output_type": "stream",
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"text": [
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"X shape: torch.Size([34, 25])\n",
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"Y shape: torch.Size([34,
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"l shape: torch.Size([34])\n"
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]
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}
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],
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"source": [
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"print(\"X shape:\", X_tensor.shape)\n",
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"print(\"Y shape:\", padded_Y.shape)
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-
"print(\"l shape:\", seq_lengths.shape)"
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]
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},
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{
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"cell_type": "code",
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-
"execution_count":
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"id": "b4efc676",
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"metadata": {},
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"outputs": [
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"name": "stdout",
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"output_type": "stream",
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"text": [
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "4f5f5dc1",
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"metadata": {},
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"outputs": [],
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@@ -517,8 +516,7 @@
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"\n",
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"torch.save({\n",
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" \"X\": X_tensor,\n",
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-
" \"Y\": padded_Y
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" \"lengths\": seq_lengths\n",
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"}, \"DIVA_dataset.pt\")"
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},
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" EOS = torch.full((1, 7), 100, dtype=torch.long)\n",
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" Y_tensor.append(torch.cat([token, EOS], dim=0))\n",
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"\n",
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"# 패딩 처리\n",
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"padded_Y = pad_sequence(Y_tensor, batch_first=True, padding_value=-1) # (batch_size, max_len, 7)"
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]
|
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"output_type": "stream",
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"text": [
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"X shape: torch.Size([34, 25])\n",
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+
"Y shape: torch.Size([34, 128, 7])\n"
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]
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}
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],
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"source": [
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"print(\"X shape:\", X_tensor.shape)\n",
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+
"print(\"Y shape:\", padded_Y.shape)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "b4efc676",
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"metadata": {},
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"outputs": [
|
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Y example: tensor([[ 81, 3, 65, 1, 3, 53, 3],\n",
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" [ 0, 1, 0, 1, 1, 0, 1],\n",
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| 487 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 488 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 489 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 490 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 491 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 492 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 493 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 494 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 495 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 496 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 497 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 498 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 499 |
+
" [ -1, -1, -1, -1, -1, -1, -1],\n",
|
| 500 |
+
" [ -1, -1, -1, -1, -1, -1, -1]])\n"
|
| 501 |
]
|
| 502 |
}
|
| 503 |
],
|
|
|
|
| 507 |
},
|
| 508 |
{
|
| 509 |
"cell_type": "code",
|
| 510 |
+
"execution_count": 6,
|
| 511 |
"id": "4f5f5dc1",
|
| 512 |
"metadata": {},
|
| 513 |
"outputs": [],
|
|
|
|
| 516 |
"\n",
|
| 517 |
"torch.save({\n",
|
| 518 |
" \"X\": X_tensor,\n",
|
| 519 |
+
" \"Y\": padded_Y\n",
|
|
|
|
| 520 |
"}, \"DIVA_dataset.pt\")"
|
| 521 |
]
|
| 522 |
},
|