Delete google_solver/Untitled.ipynb
Browse files- google_solver/Untitled.ipynb +0 -99
google_solver/Untitled.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import torch"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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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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"[array([0.01560026, 0.14899027, 0.8198149 ], dtype=float32),\n",
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" array([0.9768128 , 0.06915247, 0.42297667], dtype=float32),\n",
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" array([0.9447805 , 0.9968865 , 0.85253155], dtype=float32),\n",
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" array([0.4674251, 0.9449542, 0.6850118], dtype=float32),\n",
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" array([0.8488321 , 0.9191937 , 0.33687925], dtype=float32)]"
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]
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},
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"execution_count": 6,
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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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"source": [
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"torch.rand(5, 3).numpy()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"x = torch.rand(5, 3).numpy()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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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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"[[0.6611388, 0.24161768, 0.35973948],\n",
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" [0.28449154, 0.81414443, 0.17932409],\n",
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" [0.65817285, 0.1036877, 0.8726997],\n",
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" [0.05815494, 0.3649323, 0.6273505],\n",
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" [0.57139295, 0.16107935, 0.08857018]]"
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]
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},
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"execution_count": 8,
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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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"source": [
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"[list(x[i]) for i in range(x.shape[0])]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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