Merge pull request #934 from timeseriesAI/tsai_v0.4.0

Tsai v0.4.0

Author: oguiza

nbs/003_data.validation.ipynb

@@ -329,6 +329,46 @@
     "create_model = build_ts_model"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from tsai.data.core import get_ts_dls, TSClassification\n",
+    "from tsai.models.TSiTPlus import TSiTPlus\n",
+    "from fastai.losses import CrossEntropyLossFlat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "arch: TSiTPlus(c_in=3 c_out=2 seq_len=128 arch_config={} kwargs={'custom_head': functools.partial(<class 'tsai.models.layers.lin_nd_head'>, d=3)})\n",
+      "torch.Size([13, 3, 2])\n",
+      "TensorBase(0.8796, grad_fn=<AliasBackward0>)\n"
+     ]
+    }
+   ],
+   "source": [
+    "X = np.random.rand(16, 3, 128)\n",
+    "y = np.random.randint(0, 2, (16, 3))\n",
+    "tfms = [None, [TSClassification()]]\n",
+    "dls = get_ts_dls(X, y, splits=RandomSplitter()(range_of(X)), tfms=tfms)\n",
+    "model = build_ts_model(TSiTPlus, dls=dls, pretrained=False, verbose=True)\n",
+    "xb, yb = dls.one_batch()\n",
+    "output = model(xb)\n",
+    "print(output.shape)\n",
+    "loss = CrossEntropyLossFlat()(output, yb)\n",
+    "print(loss)\n",
+    "assert output.shape == (dls.bs, dls.d, dls.c)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -495,15 +535,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[W NNPACK.cpp:64] Could not initialize NNPACK! Reason: Unsupported hardware.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "c_in = 3\n",
     "seq_len = 30\n",
@@ -555,14 +587,14 @@
     {
      "data": {
       "text/plain": [
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-       "         4.23789602,  4.83134182,  5.18560431,  5.30551186,  6.29076506,\n",
-       "         6.58873471,  7.03661275,  7.0884361 ,  7.57927022,  8.21911791,\n",
-       "         8.59726773,  9.37382718, 10.17298849, 10.40118308, 10.82265631]),\n",
-       " array([ 6.29076506,  6.58873471,  7.03661275,  7.0884361 ,  7.57927022,\n",
-       "         8.21911791,  8.59726773,  9.37382718, 10.17298849, 10.40118308]),\n",
-       " array([ 6.58873471,  7.03661275,  7.0884361 ,  7.57927022,  8.21911791,\n",
-       "         8.59726773,  9.37382718, 10.17298849, 10.40118308, 10.82265631]))"
+       "(array([0.99029138, 1.68463991, 2.21744589, 2.65448222, 2.85159354,\n",
+       "        3.26171729, 3.67986707, 4.04343956, 4.3077458 , 4.44585435,\n",
+       "        4.76876866, 4.85844441, 4.93256093, 5.52415845, 6.10704489,\n",
+       "        6.74848957, 7.31920741, 8.20198208, 8.78954283, 9.0402    ]),\n",
+       " array([4.44585435, 4.76876866, 4.85844441, 4.93256093, 5.52415845,\n",
+       "        6.10704489, 6.74848957, 7.31920741, 8.20198208, 8.78954283]),\n",
+       " array([4.76876866, 4.85844441, 4.93256093, 5.52415845, 6.10704489,\n",
+       "        6.74848957, 7.31920741, 8.20198208, 8.78954283, 9.0402    ]))"
       ]
      },
      "execution_count": null,
@@ -595,9 +627,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/Users/nacho/notebooks/tsai/nbs/030_models.utils.ipynb saved at 2024-01-31 13:03:06\n",
+      "/Users/nacho/notebooks/tsai/nbs/030_models.utils.ipynb saved at 2025-01-22 18:23:18\n",
       "Correct notebook to script conversion! 😃\n",
-      "Wednesday 31/01/24 13:03:08 CET\n"
+      "Wednesday 22/01/25 18:23:21 CET\n"
      ]
     },
     {