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Update 11_spot_hpt_torch.ipynb
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‎notebooks/11_spot_hpt_torch.ipynb‎

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},
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{
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"cell_type": "code",
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"cell_type": "code",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'11-torch_p040025_360min_10init_2023-04-27_00-08-17'"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"import pickle\n",
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"import socket\n",
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},
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{
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"cell_type": "code",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"spotPython 0.0.44\n",
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"spotRiver 0.0.92\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"pip list | grep \"spot[RiverPython]\""
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]
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},
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{
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"cell_type": "code",
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"metadata": {},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2.0.0\n",
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"MPS device: mps\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"print(torch.__version__)\n",
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"# Check that MPS is available\n",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"text": [
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"Files already downloaded and verified\n",
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"Files already downloaded and verified\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"train, test = load_data()"
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]
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"metadata": {},
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"outputs": [
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"data": {
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"text/plain": [
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"Dataset CIFAR10\n",
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" Number of datapoints: 50000\n",
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" Root location: ./data\n",
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" Split: Train\n",
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" StandardTransform\n",
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"Transform: Compose(\n",
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" ToTensor()\n",
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" Normalize(mean=(0.5, 0.5, 0.5), std=(0.5, 0.5, 0.5))\n",
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" )"
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]
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},
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"output_type": "execute_result"
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}
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"outputs": [],
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"train.data.shape, test.data.shape\n",
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"train"
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]
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"metadata": {},
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"outputs": [],
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"source": [
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"fun = HyperTorch(seed=123, log_level=50).fun_torch\n",
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"weights = -1.0\n",
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"weights = 1.0\n",
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"horizon = 7*24\n",
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"oml_grace_period = 2\n",
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"step = 100\n",
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},
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"metadata": {},
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"outputs": [
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"name": "stdout",
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"text": [
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"| name | type | default | lower | upper |\n",
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"|------------|--------|-----------|---------|---------|\n",
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"| l1 | int | 5 | 2 | 9 |\n",
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"| l2 | int | 5 | 2 | 9 |\n",
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"| lr | float | 0.001 | 0.0001 | 0.1 |\n",
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"| batch_size | int | 4 | 1 | 4 |\n",
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"| epochs | int | 3 | 1 | 4 |\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"print(gen_design_table(fun_control))"
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Using mps device\n",
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"[1, 2000] loss: 2.323\n",
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"[1, 4000] loss: 1.159\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"spot_torch = spot.Spot(fun=fun,\n",
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" lower = lower,\n",

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