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Diffstat (limited to 'notebooks/00-scratch-pad.ipynb')
-rw-r--r--notebooks/00-scratch-pad.ipynb275
1 files changed, 257 insertions, 18 deletions
diff --git a/notebooks/00-scratch-pad.ipynb b/notebooks/00-scratch-pad.ipynb
index 16c6533..1e30038 100644
--- a/notebooks/00-scratch-pad.ipynb
+++ b/notebooks/00-scratch-pad.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
@@ -30,7 +30,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
@@ -39,7 +39,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
@@ -48,41 +48,280 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"@attr.s\n",
- "class B:\n",
- " batch_size = attr.ib()\n",
- " num_workers = attr.ib()"
+ "class B(nn.Module):\n",
+ " input_dim = attr.ib()\n",
+ " hidden = attr.ib()\n",
+ " xx = attr.ib(init=False, default=\"hek\")\n",
+ " \n",
+ " def __attrs_post_init__(self):\n",
+ " super().__init__()\n",
+ " self.fc = nn.Linear(self.input_dim, self.hidden)\n",
+ " self.xx = \"da\"\n",
+ " \n",
+ " def forward(self, x):\n",
+ " return self.fc(x)"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
- "@attr.s\n",
- "class T(B):\n",
+ "def f(x):\n",
+ " return 2\n",
"\n",
- " def __attrs_post_init__(self) -> None:\n",
- " super().__init__(self.batch_size, self.num_workers)\n",
- " self.hej = None\n",
+ "@attr.s(auto_attribs=True)\n",
+ "class T(B):\n",
" \n",
- " batch_size = attr.ib()\n",
- " num_workers = attr.ib()\n",
- " h: Path = attr.ib(converter=Path)"
+ " h: Path = attr.ib(converter=Path)\n",
+ " p: int = attr.ib(init=False, default=f(3))"
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 53,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "TypeError",
+ "evalue": "__init__() missing 1 required positional argument: 'hidden'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m<ipython-input-53-ef8b390156f4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mT\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput_dim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m16\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mh\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"hej\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+ "\u001b[0;31mTypeError\u001b[0m: __init__() missing 1 required positional argument: 'hidden'"
+ ]
+ }
+ ],
+ "source": [
+ "t = T(input_dim=16, h=\"hej\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'da'"
+ ]
+ },
+ "execution_count": 51,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "t.xx"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2"
+ ]
+ },
+ "execution_count": 52,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "t.p"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "16"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "t.input_dim"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "x = torch.rand(16, 16)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "torch.Size([16, 16])"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "x.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "T(input_dim=16, hidden=24, h=PosixPath('hej'))"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "t.cuda()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
- "t = T(batch_size=16, num_workers=2, h=\"hej\")"
+ "x = x.cuda()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "tensor([[ 3.6047e-01, 1.0200e+00, 3.6786e-01, 1.6077e-01, 3.9281e-02,\n",
+ " 3.2830e-01, 1.3433e-01, -9.0334e-02, -3.8712e-01, 8.1547e-01,\n",
+ " -5.4483e-01, -9.7471e-01, 3.3706e-01, -9.5283e-01, -1.6271e-01,\n",
+ " 3.8504e-01, -5.0106e-01, -4.8638e-01, 3.7033e-01, -4.9557e-01,\n",
+ " 2.6555e-01, 5.1245e-01, 6.6751e-01, -2.6291e-01],\n",
+ " [ 1.3811e-01, 7.4522e-01, 4.9935e-01, 3.3878e-01, 1.8501e-01,\n",
+ " 2.2269e-02, -2.0328e-01, 1.4629e-01, -2.2957e-01, 4.1197e-01,\n",
+ " -1.9555e-01, -4.7609e-01, 9.0206e-02, -8.8568e-01, -2.1618e-01,\n",
+ " 2.8882e-01, -5.4335e-01, -6.6301e-01, 4.9990e-01, -4.0144e-01,\n",
+ " 3.6403e-01, 5.3901e-01, 8.6665e-01, -7.8312e-02],\n",
+ " [ 1.6493e-02, 4.6157e-01, 2.9500e-02, 2.4190e-01, 6.5753e-01,\n",
+ " 4.3770e-02, -5.3773e-02, 1.8183e-01, -2.5983e-02, 4.1634e-01,\n",
+ " -3.5218e-01, -5.6129e-01, 4.1452e-01, -1.2265e+00, -5.8544e-01,\n",
+ " 3.6382e-01, -6.4090e-01, -5.8679e-01, 4.3489e-02, -1.1233e-01,\n",
+ " 3.1175e-01, 4.2857e-01, 1.6501e-01, -2.4118e-01],\n",
+ " [ 9.2361e-02, 6.0196e-01, 1.3081e-02, -8.1091e-02, 4.2342e-01,\n",
+ " -8.8457e-02, -8.1851e-02, -1.1562e-01, -1.5049e-01, 4.9972e-01,\n",
+ " -3.0432e-01, -7.8619e-01, 2.1060e-01, -1.0598e+00, -4.6542e-01,\n",
+ " 4.2382e-01, -6.5671e-01, -4.8589e-01, 5.5977e-02, -2.9478e-02,\n",
+ " 8.5718e-02, 4.7685e-01, 4.8351e-01, -2.8142e-01],\n",
+ " [ 1.3377e-01, 5.4434e-01, 3.4505e-01, 1.1307e-01, 4.4057e-01,\n",
+ " -7.6075e-03, 1.3841e-01, -1.1497e-01, -1.3177e-01, 8.0254e-01,\n",
+ " -3.0627e-01, -6.8437e-01, 1.9035e-01, -1.0208e+00, -1.3259e-01,\n",
+ " 5.3231e-01, -4.7814e-01, -5.1266e-01, 2.4646e-02, -3.0552e-01,\n",
+ " 2.7398e-01, 5.8269e-01, 6.5481e-01, -4.2041e-01],\n",
+ " [ 1.9604e-01, 4.0597e-01, 1.9071e-01, -2.5535e-01, 1.1915e-01,\n",
+ " -6.7129e-02, 5.4386e-03, -8.2196e-02, -4.2803e-01, 7.0287e-01,\n",
+ " -3.0026e-01, -7.6001e-01, -5.1471e-03, -7.0283e-01, -9.2978e-02,\n",
+ " 1.2243e-01, -1.8398e-01, -4.7374e-01, 2.7978e-01, -3.6962e-01,\n",
+ " 5.6046e-02, 4.1773e-01, 4.9894e-01, -3.1945e-01],\n",
+ " [ 1.2657e-01, 3.3224e-01, 6.2830e-02, 1.5718e-01, 4.8844e-01,\n",
+ " -1.1476e-01, -1.5044e-01, 2.5265e-02, -2.0351e-01, 5.5770e-01,\n",
+ " -3.6036e-01, -7.4406e-01, 1.6962e-01, -9.6185e-01, -2.9334e-01,\n",
+ " 2.2584e-01, -4.1169e-01, -5.2146e-01, 2.3314e-01, -1.3668e-01,\n",
+ " -1.9598e-02, 3.8727e-01, 3.6892e-01, -3.3071e-01],\n",
+ " [ 5.2178e-01, 6.9704e-01, 5.0093e-01, 1.1157e-01, 8.0012e-02,\n",
+ " 3.6931e-01, -6.4927e-02, 1.1126e-01, -2.5117e-01, 5.3017e-01,\n",
+ " -2.6488e-01, -8.4056e-01, 2.2374e-01, -6.6831e-01, -1.9402e-01,\n",
+ " 7.4174e-02, -4.7763e-01, -2.6912e-01, 5.1009e-01, -5.4239e-01,\n",
+ " 3.0123e-01, 3.7529e-01, 4.1625e-01, -2.0141e-01],\n",
+ " [ 3.7968e-01, 4.9387e-01, 3.6786e-01, -1.3131e-01, 2.4445e-02,\n",
+ " 2.2155e-01, -4.0087e-02, -1.4872e-01, -5.5030e-01, 6.8958e-01,\n",
+ " -3.8156e-01, -7.5760e-01, 3.2085e-01, -6.4571e-01, 1.1268e-03,\n",
+ " 3.4251e-02, -2.6440e-01, -2.6374e-01, 5.9787e-01, -4.6502e-01,\n",
+ " 2.0074e-01, 4.5471e-01, 2.4238e-01, -4.3247e-01],\n",
+ " [ 2.9364e-01, 4.8659e-01, 9.0845e-02, 1.6348e-01, 5.7636e-01,\n",
+ " 4.5485e-01, -1.6781e-01, -1.4557e-01, -8.8814e-02, 6.6351e-01,\n",
+ " -5.3669e-01, -8.2818e-01, 6.0474e-01, -9.4558e-01, -3.0133e-01,\n",
+ " 3.0310e-01, -5.2493e-01, -2.5948e-01, 1.5857e-01, -4.2695e-01,\n",
+ " 2.1311e-01, 4.6502e-01, 8.7946e-02, -5.5815e-01],\n",
+ " [ 9.2208e-02, 2.9731e-01, 3.3849e-01, -5.1049e-02, 2.7834e-01,\n",
+ " -1.1120e-01, 1.1835e-01, 1.3665e-01, -2.1291e-01, 3.5107e-01,\n",
+ " -9.8108e-02, -5.0180e-01, 2.9894e-01, -7.7726e-01, -8.1317e-02,\n",
+ " 3.5704e-01, -3.6759e-01, -2.2148e-01, 1.1019e-01, -1.4452e-02,\n",
+ " 1.5092e-02, 3.3405e-01, 1.2765e-01, -4.0411e-01],\n",
+ " [ 2.8927e-02, 4.4180e-01, 1.0994e-01, 5.6124e-01, 4.7174e-01,\n",
+ " 1.9914e-01, -9.5047e-02, 3.1277e-02, -1.8656e-01, 5.0631e-01,\n",
+ " -3.4353e-01, -5.7425e-01, 4.3409e-01, -8.3343e-01, -1.1627e-01,\n",
+ " 3.1852e-02, -4.1274e-01, -2.6756e-01, 4.9652e-01, -2.6137e-01,\n",
+ " 2.8559e-02, 3.0587e-01, 3.6717e-01, -4.4303e-01],\n",
+ " [-1.0741e-01, 1.3539e-01, 1.5746e-01, 2.1208e-01, 6.3745e-01,\n",
+ " -2.1864e-01, -1.8820e-01, 2.1184e-01, -3.6832e-02, 3.0890e-01,\n",
+ " -2.4719e-03, -3.3573e-01, 1.8479e-01, -9.2119e-01, -2.3361e-01,\n",
+ " 8.9827e-02, -5.4372e-01, -4.4935e-01, 3.2967e-01, -9.2807e-02,\n",
+ " 9.9241e-02, 4.1705e-01, 2.4728e-01, -4.8119e-01],\n",
+ " [ 2.8125e-01, 5.3276e-01, 5.0110e-02, 2.0471e-01, 5.7750e-01,\n",
+ " 4.6670e-02, -2.1400e-01, 6.8794e-03, -6.8737e-02, 4.2138e-01,\n",
+ " -3.1261e-01, -7.3709e-01, 4.2001e-01, -9.9757e-01, -4.8091e-01,\n",
+ " 2.9960e-01, -6.2133e-01, -4.0566e-01, 3.2191e-01, -1.0219e-02,\n",
+ " 1.2901e-01, 3.9601e-01, 1.6291e-01, -3.3871e-01],\n",
+ " [ 2.9181e-01, 5.5400e-01, 3.0462e-01, 2.2431e-02, 2.8480e-01,\n",
+ " 4.4624e-01, -2.8859e-01, -1.4629e-01, -4.3573e-02, 2.9742e-01,\n",
+ " -1.0100e-01, -4.3070e-01, 4.6713e-01, -3.7132e-01, -8.6748e-02,\n",
+ " 2.5666e-01, -3.5361e-01, -2.3917e-02, 3.0071e-01, -3.2420e-01,\n",
+ " 1.3375e-01, 3.4475e-01, 3.0642e-01, -4.3496e-01],\n",
+ " [-7.7723e-04, 2.3828e-01, 2.3124e-01, 4.1347e-01, 6.8455e-01,\n",
+ " -9.8319e-03, 1.3403e-01, 1.8460e-02, -1.4025e-01, 5.9780e-01,\n",
+ " -3.7015e-01, -5.7865e-01, 4.9211e-01, -1.1262e+00, -2.1693e-01,\n",
+ " 3.2002e-01, -2.9313e-01, -3.1941e-01, 9.8446e-02, -6.2767e-02,\n",
+ " -9.8636e-03, 3.5712e-01, 2.8833e-01, -5.3506e-01]], device='cuda:0',\n",
+ " grad_fn=<AddmmBackward>)"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "t(x)"
]
},
{
generated by cgit v1.2.3-70-g09d2 (git 2.46.0) at 2024-11-10 09:55:06 +0000