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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"gpuType": "T4"
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ZPRJNGmOm7Db",
"outputId": "1dc80cd1-5d1b-4e1c-b9f6-2c6b754cfa92"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Cloning into 'energize'...\n",
"remote: Enumerating objects: 759, done.\u001b[K\n",
"remote: Counting objects: 100% (305/305), done.\u001b[K\n",
"remote: Compressing objects: 100% (176/176), done.\u001b[K\n",
"remote: Total 759 (delta 182), reused 230 (delta 120), pack-reused 454 (from 1)\u001b[K\n",
"Receiving objects: 100% (759/759), 257.91 KiB | 10.75 MiB/s, done.\n",
"Resolving deltas: 100% (479/479), done.\n",
"/content/energize\n"
]
}
],
"source": [
"!git clone https://github.com/RodriguesGabriel/energize.git\n",
"%cd energize\n"
]
},
{
"cell_type": "code",
"source": [
"!wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n",
"!chmod +x Miniconda3-latest-Linux-x86_64.sh\n",
"!bash ./Miniconda3-latest-Linux-x86_64.sh -b -f -p /usr/local\n",
"\n",
"import sys\n",
"sys.path.append('/usr/local/lib/python3.9/site-packages')\n",
"\n",
"!conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main\n",
"!conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Ceibc9AFnLg1",
"outputId": "893fcca8-f0d9-4c5f-a929-21de50ac2268"
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"--2025-08-14 17:25:28-- https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n",
"Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.32.241, 104.16.191.158, 2606:4700::6810:20f1, ...\n",
"Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.32.241|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 160039710 (153M) [application/octet-stream]\n",
"Saving to: ‘Miniconda3-latest-Linux-x86_64.sh’\n",
"\n",
"Miniconda3-latest-L 100%[===================>] 152.62M 267MB/s in 0.6s \n",
"\n",
"2025-08-14 17:25:28 (267 MB/s) - ‘Miniconda3-latest-Linux-x86_64.sh’ saved [160039710/160039710]\n",
"\n",
"PREFIX=/usr/local\n",
"Unpacking payload ...\n",
"entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.\n",
"entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.\n",
"\n",
"Installing base environment...\n",
"\n",
"Preparing transaction: ...working... done\n",
"Executing transaction: ...working... done\n",
"entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.\n",
"installation finished.\n",
"WARNING:\n",
" You currently have a PYTHONPATH environment variable set. This may cause\n",
" unexpected behavior when running the Python interpreter in Miniconda3.\n",
" For best results, please verify that your PYTHONPATH only points to\n",
" directories of packages that are compatible with the Python interpreter\n",
" in Miniconda3: /usr/local\n",
"accepted Terms of Service for \u001b[4;94mhttps://repo.anaconda.com/pkgs/main\u001b[0m\n",
"accepted Terms of Service for \u001b[4;94mhttps://repo.anaconda.com/pkgs/r\u001b[0m\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!conda env create -f environment.yml"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "hvn9g4FPnPLT",
"outputId": "bf04e4f5-b6ea-407a-f503-0e3deaf00f85"
},
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
"pytorch-2.2.0 | 1.34 GB | : 100% 0.9954314801001843/1 [00:34<00:00, 25.10s/it]\n",
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"cuda-nsight-12.1.105 | 113.1 MB | : 100% 1.0/1 [00:36<00:00, 2.57s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 0% 0.00014297769551440643/1 [00:36<71:11:23, 256319.98s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 26% 0.25693091883938834/1 [00:37<00:17, 23.30s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 29% 0.2936761865865908/1 [00:37<00:11, 16.46s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 33% 0.32641807885938984/1 [00:37<00:08, 12.48s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 36% 0.3591599711321889/1 [00:37<00:06, 9.79s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 40% 0.39633417196593457/1 [00:37<00:04, 7.48s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 43% 0.4346521943637955/1 [00:38<00:03, 5.92s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 49% 0.49012754022338517/1 [00:38<00:02, 4.28s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 54% 0.5448879976054029/1 [00:38<00:01, 3.55s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 59% 0.5866374846956095/1 [00:38<00:01, 3.26s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 63% 0.6276720833082442/1 [00:38<00:01, 3.04s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 67% 0.6685637042253644/1 [00:38<00:00, 2.94s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libnpp-12.0.2.50 | 139.8 MB | : 100% 1/1 [00:38<00:00, 38.63s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libnpp-12.0.2.50 | 139.8 MB | : 100% 1/1 [00:38<00:00, 38.63s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 71% 0.7121719013572584/1 [00:38<00:00, 2.76s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 76% 0.7597834739635557/1 [00:38<00:00, 2.56s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 81% 0.8093967343070547/1 [00:38<00:00, 2.38s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 88% 0.8836021582790317/1 [00:38<00:00, 1.98s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 94% 0.9363609279238476/1 [00:39<00:00, 2.05s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 99% 0.9872609875269763/1 [00:39<00:00, 2.04s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libcusparse-static-1 | 109.6 MB | : 100% 1.0/1 [00:39<00:00, 3.43s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 100% 1.0/1 [00:40<00:00, 2.04s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 0% 0.00017124485350893288/1 [00:40<66:03:29, 237850.46s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 8% 0.07928636717463593/1 [00:40<05:32, 361.12s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 16% 0.16114140715190586/1 [00:40<02:03, 146.64s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 24% 0.2416264883011043/1 [00:41<01:00, 80.42s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 33% 0.3330712400748745/1 [00:41<00:31, 46.71s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 41% 0.4140700557845997/1 [00:41<00:18, 30.82s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 50% 0.49712380973643217/1 [00:41<00:10, 20.78s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 58% 0.5815475225163361/1 [00:41<00:06, 14.35s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 66% 0.6616901139585167/1 [00:41<00:03, 10.36s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 74% 0.7384078083305187/1 [00:41<00:02, 7.74s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 81% 0.811529360778833/1 [00:41<00:01, 6.02s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 88% 0.8796848124753882/1 [00:41<00:00, 4.80s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 95% 0.9461278156368542/1 [00:42<00:00, 3.90s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 100% 1.0/1 [00:43<00:00, 3.90s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 0% 0.00027130479074682424/1 [00:43<44:24:51, 159935.37s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 5% 0.05453226294011167/1 [00:43<08:49, 559.70s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 18% 0.179061161892904/1 [00:43<01:48, 131.78s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 27% 0.2742891434450393/1 [00:43<00:52, 72.51s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 39% 0.38715193639571815/1 [00:43<00:25, 41.33s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 48% 0.4796668700403852/1 [00:43<00:14, 27.79s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 57% 0.5683835366145967/1 [00:44<00:08, 19.37s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"\n",
"\n",
"\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 66% 0.6587280319332892/1 [00:44<00:04, 13.61s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 75% 0.7474446985075007/1 [00:44<00:02, 9.81s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 89% 0.8901510184403303/1 [00:44<00:00, 6.05s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 99% 0.9937894485056171/1 [00:44<00:00, 4.61s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 100% 1.0/1 [00:45<00:00, 4.61s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libcusolver-static-1 | 48.4 MB | : 0% 0.0003230924427151321/1 [00:45<38:49:28, 139814.12s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libcusolver-static-1 | 48.4 MB | : 4% 0.03877109312581585/1 [00:45<13:08, 820.51s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libcusolver-static-1 | 48.4 MB | : 7% 0.07334198449633499/1 [00:46<05:49, 376.88s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libcusolver-static-1 | 48.4 MB | : 9% 0.08981969907480673/1 [00:46<04:14, 280.01s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 10% 0.10048174968440608/1 [00:47<03:25, 228.50s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 11% 0.10855906075228439/1 [00:47<02:51, 191.93s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 12% 0.11502090960658704/1 [00:47<02:23, 162.01s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libcusolver-static-1 | 48.4 MB | : 19% 0.1861012470039161/1 [00:47<00:36, 44.99s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 26% 0.25718158440124517/1 [00:47<00:16, 22.79s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 31% 0.31275348454824786/1 [00:47<00:10, 15.18s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 38% 0.3831876370601467/1 [00:47<00:05, 9.72s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 47% 0.472038058806808/1 [00:47<00:03, 6.20s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 54% 0.5424722113187068/1 [00:47<00:02, 4.73s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 60% 0.6035366829918668/1 [00:48<00:01, 4.04s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 68% 0.6781710372590622/1 [00:48<00:01, 3.16s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 74% 0.7392355089322222/1 [00:48<00:00, 2.80s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 81% 0.8106389387722664/1 [00:48<00:00, 2.37s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 90% 0.8981969907480672/1 [00:48<00:00, 1.93s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 97% 0.973477529900693/1 [00:48<00:00, 1.75s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libcusolver-static-1 | 48.4 MB | : 100% 1.0/1 [00:50<00:00, 1.75s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcufft-11.0.2.4 | 102.9 MB | : 100% 1/1 [00:50<00:00, 50.14s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libcufft-11.0.2.4 | 102.9 MB | : 100% 1/1 [00:50<00:00, 50.14s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 0% 0.0003282961462072017/1 [00:50<42:26:22, 152832.41s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 9% 0.08699847874490844/1 [00:50<06:10, 405.34s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 17% 0.17235547675878088/1 [00:50<02:20, 169.45s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 25% 0.2514748479947165/1 [00:50<01:12, 96.24s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 32% 0.32370000016030087/1 [00:50<00:42, 62.25s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 38% 0.38344989877001157/1 [00:50<00:27, 44.09s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 44% 0.44287150123351504/1 [00:50<00:17, 31.46s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 51% 0.511157099644613/1 [00:51<00:10, 21.59s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 58% 0.5804275864943326/1 [00:51<00:06, 15.15s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 64% 0.641490669688872/1 [00:51<00:04, 11.34s/it] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 70% 0.6995990875675467/1 [00:51<00:02, 8.68s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-11.4.4.5 | 98.3 MB | : 100% 1/1 [00:51<00:00, 51.40s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-11.4.4.5 | 98.3 MB | : 100% 1/1 [00:51<00:00, 51.40s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 77% 0.7698544628558879/1 [00:51<00:01, 6.31s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 85% 0.8512719071152739/1 [00:51<00:00, 4.52s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 96% 0.9592813392174433/1 [00:51<00:00, 3.09s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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" ... (more hidden) ...\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"pytorch-2.2.0 | 1.34 GB | : 100% 1.0/1 [00:56<00:00, 1553.45s/it]\n",
"nsight-compute-2023. | 770.2 MB | : 100% 1/1 [01:01<00:00, 61.14s/it]\u001b[A\n",
"nsight-compute-2023. | 770.2 MB | : 100% 1/1 [01:01<00:00, 61.14s/it]\u001b[A\n",
"\n",
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"torchtriton-2.2.0 | 177.1 MB | : 100% 1.0/1 [01:28<00:00, 4.14s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2022.1.0 | 199.6 MB | : 100% 1.0/1 [01:35<00:00, 3.02s/it]\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libcusparse-12.0.2.5 | 163.0 MB | : 100% 1.0/1 [01:59<00:00, 23.59s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusparse-dev-12.0 | 162.7 MB | : 100% 1.0/1 [02:05<00:00, 28.79s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcufft-static-11.0 | 118.0 MB | : 100% 1.0/1 [02:08<00:00, 2.83s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nsight-12.1.105 | 113.1 MB | : 100% 1.0/1 [02:08<00:00, 2.57s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libnpp-12.0.2.50 | 139.8 MB | : 100% 1.0/1 [02:39<00:00, 38.63s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libcusparse-static-1 | 109.6 MB | : 100% 1.0/1 [02:41<00:00, 3.43s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"cuda-nvvp-12.1.105 | 109.3 MB | : 100% 1.0/1 [02:43<00:00, 2.04s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libnpp-static-12.1.0 | 91.2 MB | : 100% 1.0/1 [02:45<00:00, 3.90s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"gcc_impl_linux-64-12 | 57.6 MB | : 100% 1.0/1 [02:47<00:00, 4.61s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"libcusolver-static-1 | 48.4 MB | : 100% 1.0/1 [02:48<00:00, 1.75s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"libcublas-12.1.0.26 | 329.0 MB | : 100% 1.0/1 [03:09<00:00, 30.82s/it]\u001b[A\u001b[A\n",
"\n",
"\n",
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"libcufft-11.0.2.4 | 102.9 MB | : 100% 1.0/1 [03:09<00:00, 50.14s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"\n",
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"cuda-nvdisasm-12.1.1 | 47.6 MB | : 100% 1.0/1 [03:10<00:00, 3.09s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
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"libcusolver-11.4.4.5 | 98.3 MB | : 100% 1.0/1 [03:42<00:00, 51.40s/it]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"pytorch-2.2.0 | 1.34 GB | : 100% 1.0/1 [07:32<00:00, 1553.45s/it]\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"\u001b[A\n",
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"Preparing transaction: \\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\bdone\n",
"Verifying transaction: - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\bdone\n",
"Executing transaction: \\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \n",
"\b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \n",
"\b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
"Installing pip dependencies: / \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- Ran pip subprocess with arguments:\n",
"['/usr/local/envs/energize/bin/python', '-m', 'pip', 'install', '-U', '-r', '/content/energize/condaenv.8pmdax0x.requirements.txt', '--exists-action=b']\n",
"Pip subprocess output:\n",
"Collecting pyJoules==0.5.1 (from pyJoules[nvidia]==0.5.1->-r /content/energize/condaenv.8pmdax0x.requirements.txt (line 1))\n",
" Downloading pyJoules-0.5.1-py2.py3-none-any.whl.metadata (10 kB)\n",
"Collecting ipython (from -r /content/energize/condaenv.8pmdax0x.requirements.txt (line 2))\n",
" Downloading ipython-8.37.0-py3-none-any.whl.metadata (5.1 kB)\n",
"Collecting pynvml>=8.0.4 (from pyJoules[nvidia]==0.5.1->-r /content/energize/condaenv.8pmdax0x.requirements.txt (line 1))\n",
" Downloading pynvml-12.0.0-py3-none-any.whl.metadata (5.4 kB)\n",
"Collecting decorator (from ipython->-r /content/energize/condaenv.8pmdax0x.requirements.txt (line 2))\n",
" Downloading decorator-5.2.1-py3-none-any.whl.metadata (3.9 kB)\n",
"Requirement already satisfied: exceptiongroup in /usr/local/envs/energize/lib/python3.10/site-packages (from ipython->-r /content/energize/condaenv.8pmdax0x.requirements.txt (line 2)) (1.3.0)\n",
"Collecting jedi>=0.16 (from ipython->-r /content/energize/condaenv.8pmdax0x.requirements.txt (line 2))\n",
" Downloading jedi-0.19.2-py2.py3-none-any.whl.metadata (22 kB)\n",
"Collecting matplotlib-inline (from ipython->-r /content/energize/condaenv.8pmdax0x.requirements.txt (line 2))\n",
" Downloading matplotlib_inline-0.1.7-py3-none-any.whl.metadata (3.9 kB)\n",
"Collecting pexpect>4.3 (from ipython->-r /content/energize/condaenv.8pmdax0x.requirements.txt (line 2))\n",
" Downloading pexpect-4.9.0-py2.py3-none-any.whl.metadata (2.5 kB)\n",
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" Downloading prompt_toolkit-3.0.51-py3-none-any.whl.metadata (6.4 kB)\n",
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"Installing collected packages: wcwidth, pure-eval, ptyprocess, nvidia-ml-py, traitlets, pynvml, pyJoules, pygments, prompt_toolkit, pexpect, parso, executing, decorator, asttokens, stack_data, matplotlib-inline, jedi, ipython\n",
"\n",
"Successfully installed asttokens-3.0.0 decorator-5.2.1 executing-2.2.0 ipython-8.37.0 jedi-0.19.2 matplotlib-inline-0.1.7 nvidia-ml-py-12.575.51 parso-0.8.4 pexpect-4.9.0 prompt_toolkit-3.0.51 ptyprocess-0.7.0 pure-eval-0.2.3 pyJoules-0.5.1 pygments-2.19.2 pynvml-12.0.0 stack_data-0.6.3 traitlets-5.14.3 wcwidth-0.2.13\n",
"\n",
"\b\bdone\n",
"#\n",
"# To activate this environment, use\n",
"#\n",
"# $ conda activate energize\n",
"#\n",
"# To deactivate an active environment, use\n",
"#\n",
"# $ conda deactivate\n",
"\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!source /usr/local/bin/activate energize && python3 -u -m energize.main \\\n",
" -d fashion-mnist \\ #for fashion_mnist this is the config\n",
" -c example/example_config.json \\\n",
" -g example/energize.grammar \\\n",
" --run 0 \\\n",
" --gpu-enabled"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "_-uQ-rVuoSvm",
"outputId": "889309d1-f790-4197-e49f-f6fc898b2cb6"
},
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"2025-08-14 17:37:01,111 :: INFO :: energize.config.config :: [0] -- Type of training: supervised\n",
"2025-08-14 17:37:01,111 :: INFO :: energize.config.config :: [0] -- Augmentation used in training: {'resize': {'size': 32}}\n",
"2025-08-14 17:37:01,111 :: INFO :: energize.config.config :: [0] -- Augmentation used in test: {'resize': {'size': 32}}\n",
"2025-08-14 17:37:01,112 :: INFO :: __main__ :: [0] -- Starting fresh run\n",
"Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz\n",
"Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz to data/FashionMNIST/raw/train-images-idx3-ubyte.gz\n",
"100.0%\n",
"Extracting data/FashionMNIST/raw/train-images-idx3-ubyte.gz to data/FashionMNIST/raw\n",
"\n",
"Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz\n",
"Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz to data/FashionMNIST/raw/train-labels-idx1-ubyte.gz\n",
"100.0%\n",
"Extracting data/FashionMNIST/raw/train-labels-idx1-ubyte.gz to data/FashionMNIST/raw\n",
"\n",
"Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz\n",
"Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz to data/FashionMNIST/raw/t10k-images-idx3-ubyte.gz\n",
"100.0%\n",
"Extracting data/FashionMNIST/raw/t10k-images-idx3-ubyte.gz to data/FashionMNIST/raw\n",
"\n",
"Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz\n",
"Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz to data/FashionMNIST/raw/t10k-labels-idx1-ubyte.gz\n",
"100.0%\n",
"Extracting data/FashionMNIST/raw/t10k-labels-idx1-ubyte.gz to data/FashionMNIST/raw\n",
"\n",
"2025-08-14 17:37:09,096 :: INFO :: energize.evolution.engine :: [0] -- Performing generation: 0\n",
"2025-08-14 17:37:09,096 :: INFO :: energize.evolution.engine :: [0] -- Creating the initial population\n",
"2025-08-14 17:39:19,842 :: INFO :: energize.evolution.individual :: [0] -- -----> Starting evaluation for individual 0 for 300 secs\n",
"2025-08-14 17:39:20,502 :: INFO :: root :: [0] -- Initiating supervised training for multiple outputs\n",
"2025-08-14 17:39:55,679 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 1 out of 14. Best score 3.854796886444092, current: 3.864614963531494\n",
"2025-08-14 17:40:03,488 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 2 out of 14. Best score 3.854796886444092, current: 3.885700225830078\n",
"2025-08-14 17:40:09,881 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 3 out of 14. Best score 3.854796886444092, current: 3.8910107612609863\n",
"2025-08-14 17:40:39,257 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 1 out of 14. Best score 3.8279333114624023, current: 3.897348642349243\n",
"2025-08-14 17:40:46,287 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 2 out of 14. Best score 3.8279333114624023, current: 3.8536157608032227\n",
"2025-08-14 17:40:53,882 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 3 out of 14. Best score 3.8279333114624023, current: 3.8463854789733887\n",
"2025-08-14 17:41:00,743 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 4 out of 14. Best score 3.8279333114624023, current: 3.850780963897705\n",
"2025-08-14 17:41:15,438 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 1 out of 14. Best score 3.8172502517700195, current: 3.8226609230041504\n",
"2025-08-14 17:41:23,002 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 2 out of 14. Best score 3.8172502517700195, current: 3.828101634979248\n",
"2025-08-14 17:41:43,973 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 1 out of 14. Best score 3.8082642555236816, current: 3.877950668334961\n",
"2025-08-14 17:41:51,552 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 2 out of 14. Best score 3.8082642555236816, current: 3.8105859756469727\n",
"2025-08-14 17:42:05,844 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 1 out of 14. Best score 3.792997360229492, current: 3.810283660888672\n",
"2025-08-14 17:42:13,212 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 2 out of 14. Best score 3.792997360229492, current: 3.835585355758667\n",
"2025-08-14 17:42:20,001 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 3 out of 14. Best score 3.792997360229492, current: 3.794968605041504\n",
"2025-08-14 17:42:34,415 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 1 out of 14. Best score 3.788794994354248, current: 3.7892251014709473\n",
"2025-08-14 17:42:48,852 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 1 out of 14. Best score 3.787074565887451, current: 3.823291778564453\n",
"2025-08-14 17:42:56,615 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 2 out of 14. Best score 3.787074565887451, current: 3.836108446121216\n",
"2025-08-14 17:43:03,120 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 3 out of 14. Best score 3.787074565887451, current: 3.823288917541504\n",
"2025-08-14 17:43:10,687 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 4 out of 14. Best score 3.787074565887451, current: 3.8004708290100098\n",
"2025-08-14 17:43:17,263 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 5 out of 14. Best score 3.787074565887451, current: 3.7886784076690674\n",
"2025-08-14 17:43:32,814 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 1 out of 14. Best score 3.7853894233703613, current: 3.7943506240844727\n",
"2025-08-14 17:43:46,915 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 1 out of 14. Best score 3.7796053886413574, current: 3.7854533195495605\n",
"2025-08-14 17:43:53,445 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 2 out of 14. Best score 3.7796053886413574, current: 3.8009285926818848\n",
"2025-08-14 17:44:01,443 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 3 out of 14. Best score 3.7796053886413574, current: 3.8218345642089844\n",
"2025-08-14 17:44:08,025 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 4 out of 14. Best score 3.7796053886413574, current: 3.7857840061187744\n",
"2025-08-14 17:44:15,747 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 5 out of 14. Best score 3.7796053886413574, current: 3.79791259765625\n",
"2025-08-14 17:44:22,288 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 6 out of 14. Best score 3.7796053886413574, current: 3.821106433868408\n",
"2025-08-14 17:46:13,366 :: INFO :: energize.evolution.individual :: [0] -- -----> Starting evaluation for individual 1 for 300 secs\n",
"2025-08-14 17:46:13,372 :: INFO :: root :: [0] -- Initiating supervised training for multiple outputs\n",
"2025-08-14 17:46:45,765 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 1 out of 12. Best score 4.4547929763793945, current: 4.459137439727783\n",
"2025-08-14 17:46:56,713 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 2 out of 12. Best score 4.4547929763793945, current: 4.53204345703125\n",
"2025-08-14 17:47:07,800 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 3 out of 12. Best score 4.4547929763793945, current: 4.530815124511719\n",
"2025-08-14 17:47:17,992 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 4 out of 12. Best score 4.4547929763793945, current: 4.5304999351501465\n",
"2025-08-14 17:47:28,088 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 5 out of 12. Best score 4.4547929763793945, current: 4.622531414031982\n",
"2025-08-14 17:47:39,388 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 6 out of 12. Best score 4.4547929763793945, current: 4.498714447021484\n",
"2025-08-14 17:48:00,968 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 1 out of 12. Best score 4.4381103515625, current: 4.460700988769531\n",
"2025-08-14 17:48:12,056 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 2 out of 12. Best score 4.4381103515625, current: 4.472016334533691\n",
"2025-08-14 17:48:21,639 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 3 out of 12. Best score 4.4381103515625, current: 4.490241050720215\n",
"2025-08-14 17:48:32,809 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 4 out of 12. Best score 4.4381103515625, current: 4.446532249450684\n",
"2025-08-14 17:48:44,080 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 5 out of 12. Best score 4.4381103515625, current: 4.468866348266602\n",
"2025-08-14 17:48:55,206 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 6 out of 12. Best score 4.4381103515625, current: 4.486173152923584\n",
"2025-08-14 17:49:06,063 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 7 out of 12. Best score 4.4381103515625, current: 4.487216472625732\n",
"2025-08-14 17:49:16,266 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 8 out of 12. Best score 4.4381103515625, current: 4.45887565612793\n",
"2025-08-14 17:49:26,976 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 9 out of 12. Best score 4.4381103515625, current: 4.462215423583984\n",
"2025-08-14 17:49:37,903 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 10 out of 12. Best score 4.4381103515625, current: 4.457427501678467\n",
"2025-08-14 17:49:48,969 :: INFO :: energize.networks.torch.callbacks :: [0] -- EarlyStopping counter: 11 out of 12. Best score 4.4381103515625, current: 4.565924644470215\n",
"Process ForkProcess-2:\n",
"Process ForkProcess-1:\n",
"Traceback (most recent call last):\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/process.py\", line 314, in _bootstrap\n",
" self.run()\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/process.py\", line 108, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/local/envs/energize/lib/python3.10/concurrent/futures/process.py\", line 240, in _process_worker\n",
" call_item = call_queue.get(block=True)\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/queues.py\", line 102, in get\n",
" with self._rlock:\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/synchronize.py\", line 95, in __enter__\n",
" return self._semlock.__enter__()\n",
"KeyboardInterrupt\n",
"Traceback (most recent call last):\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/process.py\", line 314, in _bootstrap\n",
" self.run()\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/process.py\", line 108, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/local/envs/energize/lib/python3.10/concurrent/futures/process.py\", line 240, in _process_worker\n",
" call_item = call_queue.get(block=True)\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/queues.py\", line 103, in get\n",
" res = self._recv_bytes()\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/connection.py\", line 216, in recv_bytes\n",
" buf = self._recv_bytes(maxlength)\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/connection.py\", line 414, in _recv_bytes\n",
" buf = self._recv(4)\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/connection.py\", line 379, in _recv\n",
" chunk = read(handle, remaining)\n",
"KeyboardInterrupt\n",
"Traceback (most recent call last):\n",
" File \"/usr/local/envs/energize/lib/python3.10/runpy.py\", line 196, in _run_module_as_main\n",
" return _run_code(code, main_globals, None,\n",
" File \"/usr/local/envs/energize/lib/python3.10/runpy.py\", line 86, in _run_code\n",
" exec(code, run_globals)\n",
" File \"/content/energize/energize/main.py\", line 133, in <module>\n",
" main(run=args.run,\n",
" File \"/content/energize/energize/misc/persistence.py\", line 41, in __call__\n",
" self.f(run,\n",
" File \"/content/energize/energize/main.py\", line 102, in main\n",
" checkpoint = engine.evolve(run, grammar, gen, checkpoint, config)\n",
" File \"/content/energize/energize/misc/persistence.py\", line 67, in __call__\n",
" new_checkpoint: Checkpoint = self.f(*args)\n",
" File \"/content/energize/energize/evolution/engine.py\", line 61, in evolve\n",
" ind.evaluate(grammar,\n",
" File \"/content/energize/energize/evolution/individual.py\", line 298, in evaluate\n",
" evaluation_metrics: EvaluationMetrics = cnn_eval.evaluate(phenotype,\n",
" File \"/content/energize/energize/networks/torch/evaluators.py\", line 397, in evaluate\n",
" trainer.multi_output_train(\n",
" File \"/content/energize/energize/networks/torch/trainers.py\", line 187, in multi_output_train\n",
" for i, data in enumerate(self.validation_data_loader, 0):\n",
" File \"/usr/local/envs/energize/lib/python3.10/site-packages/torch/utils/data/dataloader.py\", line 439, in __iter__\n",
" return self._get_iterator()\n",
" File \"/usr/local/envs/energize/lib/python3.10/site-packages/torch/utils/data/dataloader.py\", line 387, in _get_iterator\n",
" return _MultiProcessingDataLoaderIter(self)\n",
" File \"/usr/local/envs/energize/lib/python3.10/site-packages/torch/utils/data/dataloader.py\", line 1040, in __init__\n",
" w.start()\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/process.py\", line 121, in start\n",
" self._popen = self._Popen(self)\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/context.py\", line 224, in _Popen\n",
" return _default_context.get_context().Process._Popen(process_obj)\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/context.py\", line 281, in _Popen\n",
" return Popen(process_obj)\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/popen_fork.py\", line 19, in __init__\n",
" self._launch(process_obj)\n",
" File \"/usr/local/envs/energize/lib/python3.10/multiprocessing/popen_fork.py\", line 75, in _launch\n",
" os.close(child_w)\n",
"KeyboardInterrupt\n",
"^C\n"
]
}
]
}
]
}

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Size:
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·
Xet hash:
c7d0f13bcaea3298cff2a5b1c619b68dc5de400475f555e5d5cfca59984eb1be

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