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-rw-r--r--src/notebooks/01-look-at-emnist.ipynb134
1 files changed, 107 insertions, 27 deletions
diff --git a/src/notebooks/01-look-at-emnist.ipynb b/src/notebooks/01-look-at-emnist.ipynb
index 93083a5..564d14e 100644
--- a/src/notebooks/01-look-at-emnist.ipynb
+++ b/src/notebooks/01-look-at-emnist.ipynb
@@ -2,9 +2,18 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 18,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The autoreload extension is already loaded. To reload it, use:\n",
+ " %reload_ext autoreload\n"
+ ]
+ }
+ ],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
@@ -22,7 +31,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
@@ -31,7 +40,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
@@ -40,7 +49,16 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 36,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dataset.load_or_generate_data()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
@@ -49,7 +67,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
@@ -58,7 +76,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 39,
"metadata": {},
"outputs": [
{
@@ -67,7 +85,7 @@
"55898"
]
},
- "execution_count": 10,
+ "execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
@@ -78,7 +96,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
@@ -87,7 +105,7 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 41,
"metadata": {},
"outputs": [
{
@@ -96,7 +114,7 @@
"3494"
]
},
- "execution_count": 19,
+ "execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
@@ -107,19 +125,74 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 42,
"metadata": {},
"outputs": [
{
- "ename": "ValueError",
- "evalue": "only one element tensors can be converted to Python scalars",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m<ipython-input-14-69c3b5027f10>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0md1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
- "\u001b[0;31mValueError\u001b[0m: only one element tensors can be converted to Python scalars"
- ]
+ "data": {
+ "text/plain": [
+ "tensor([[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
+ " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
+ " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
+ " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
+ " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
+ " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
+ " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
+ " 0, 0, 0, 0, 4, 4, 4, 4, 4, 2, 0, 0, 0, 0],\n",
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+ " 0, 2, 4, 9, 32, 37, 37, 37, 32, 20, 1, 0, 0, 0],\n",
+ " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
+ " 3, 65, 109, 140, 204, 215, 217, 217, 201, 154, 22, 0, 0, 0],\n",
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+ " 12, 122, 190, 222, 245, 249, 250, 250, 242, 206, 46, 0, 0, 0],\n",
+ " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 8, 79,\n",
+ " 127, 222, 247, 253, 235, 228, 249, 254, 254, 245, 114, 4, 0, 0],\n",
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+ " 244, 252, 247, 207, 100, 84, 223, 251, 254, 250, 127, 4, 0, 0],\n",
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+ " 252, 244, 220, 127, 39, 48, 218, 250, 255, 250, 127, 4, 0, 0],\n",
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+ " 221, 127, 79, 10, 5, 37, 217, 250, 254, 249, 125, 4, 0, 0],\n",
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+ " 9, 0, 0, 0, 46, 127, 246, 254, 245, 204, 34, 0, 0, 0],\n",
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+ " [ 0, 0, 2, 81, 232, 251, 235, 179, 39, 12, 5, 22, 46, 115,\n",
+ " 139, 221, 246, 254, 234, 188, 79, 32, 0, 0, 0, 0, 0, 0],\n",
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+ " 250, 254, 253, 232, 154, 79, 4, 0, 0, 0, 0, 0, 0, 0],\n",
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+ " 250, 243, 219, 95, 22, 7, 0, 0, 0, 0, 0, 0, 0, 0],\n",
+ " [ 0, 0, 0, 22, 154, 201, 217, 222, 245, 249, 249, 233, 222, 217,\n",
+ " 217, 202, 158, 36, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
+ " [ 0, 0, 0, 1, 20, 32, 39, 51, 114, 125, 125, 82, 51, 37,\n",
+ " 37, 32, 20, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
+ " [ 0, 0, 0, 0, 2, 4, 5, 9, 32, 37, 37, 21, 9, 4,\n",
+ " 4, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
+ " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
+ " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
+ " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
+ " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
+ " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
+ " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]],\n",
+ " dtype=torch.uint8)"
+ ]
+ },
+ "execution_count": 42,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
@@ -128,7 +201,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 43,
"metadata": {},
"outputs": [
{
@@ -137,7 +210,7 @@
"torch.Tensor"
]
},
- "execution_count": 4,
+ "execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
@@ -148,7 +221,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 44,
"metadata": {},
"outputs": [
{
@@ -169,7 +242,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
@@ -187,7 +260,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 46,
"metadata": {},
"outputs": [
{
@@ -207,7 +280,7 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 47,
"metadata": {},
"outputs": [
{
@@ -238,6 +311,13 @@
"metadata": {},
"outputs": [],
"source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {
generated by cgit v1.2.3-70-g09d2 (git 2.46.0) at 2024-11-10 12:00:10 +0000