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Pytorch - tests
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# *PyTorch* - Check randomness of data augmentations with DataLoader" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import torch\n", | |
| "from torch.utils.data import DataLoader\n", | |
| "from torchvision.datasets import CIFAR10\n", | |
| "from torchvision.transforms import ToTensor, Compose, RandomCrop\n", | |
| "from torch.utils.data.sampler import SubsetRandomSampler" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import matplotlib.pylab as plt\n", | |
| "%matplotlib inline" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "root = \"cifar10_data/\"" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import random\n", | |
| "import math\n", | |
| "from PIL import Image, ImageOps, ImageEnhance\n", | |
| "\n", | |
| "\n", | |
| "class RandomTranslate(object):\n", | |
| " \n", | |
| " def __init__(self, translate=(0.5, 0.5)): \n", | |
| " self.translate = translate\n", | |
| " \n", | |
| " def __call__(self, img):\n", | |
| "\n", | |
| " max_dx = self.translate[0] * img.size[0]\n", | |
| " max_dy = self.translate[1] * img.size[1]\n", | |
| " dx = round(random.uniform(-max_dx, max_dx))\n", | |
| " dy = round(random.uniform(-max_dy, max_dy))\n", | |
| " img = img.transform(img.size, Image.AFFINE, (1, 0, dx, 0, 1, dy)) \n", | |
| " return img\n", | |
| " \n", | |
| "import numpy as np\n", | |
| "\n", | |
| "class RandomTranslate2(object):\n", | |
| " \n", | |
| " def __init__(self, translate=(0.5, 0.5)): \n", | |
| " self.translate = translate\n", | |
| " \n", | |
| " def __call__(self, img):\n", | |
| "\n", | |
| " max_dx = self.translate[0] * img.size[0]\n", | |
| " max_dy = self.translate[1] * img.size[1]\n", | |
| " dx = round(np.random.uniform(-max_dx, max_dx))\n", | |
| " dy = round(np.random.uniform(-max_dy, max_dy))\n", | |
| " img = img.transform(img.size, Image.AFFINE, (1, 0, dx, 0, 1, dy)) \n", | |
| " return img " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "scrolled": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def display_batches(batches, loop_max_counter=5): \n", | |
| " batch_size = batches.batch_size\n", | |
| " for i, (batch_imgs, batch_labels) in enumerate(batches): \n", | |
| " n = 5\n", | |
| " s = min(batch_size, len(batch_imgs))\n", | |
| " plt.figure(figsize=(16, 2))\n", | |
| "# plt.suptitle(\"Batch %i\" % i)\n", | |
| " for counter in range(s):\n", | |
| " if counter > 0 and counter % n == 0:\n", | |
| " plt.figure(figsize=(16, 2))\n", | |
| " plt.subplot(1, n, counter % n + 1) \n", | |
| " img = batch_imgs[counter].numpy().transpose([1,2,0])\n", | |
| " label = batch_labels[counter]\n", | |
| "\n", | |
| " plt.imshow(img)\n", | |
| " plt.title(\"{}\".format(label))\n", | |
| " plt.axis('off')\n", | |
| "\n", | |
| " loop_max_counter -= 1\n", | |
| " if loop_max_counter == 0:\n", | |
| " break " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "train_aug = Compose((\n", | |
| " RandomTranslate(),\n", | |
| " ToTensor()\n", | |
| "))\n", | |
| "\n", | |
| "train_aug2 = Compose((\n", | |
| " RandomTranslate2(),\n", | |
| " ToTensor()\n", | |
| "))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "transformed_ds = CIFAR10(root, transform=train_aug)\n", | |
| "transformed_ds2 = CIFAR10(root, transform=train_aug2)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd525cde390>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
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| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd524a37198>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
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| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd525c112e8>" | |
| ] | |
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| "output_type": "display_data" | |
| }, | |
| { | |
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TZSy11LQvFXts8upnPkvkmJNM7PGnVJKva8/b6Q7073ikpsS4+O3XzXJf/PxL\nWfvq1cum7/hxuV/Y3NnK2mnuejuqyj1BVLLX6fHUTiVzVPCpAAAAAIAC46YOAAAAAArsQOOXz52V\nR7InHr9g+sqpPIbd2bOPRWvzEldwWxKFObluR5Xa7UsY5rEnz5u+uYW6aj8l73XfPnre2ZNIZ6ls\nR4sKUhkFaqofPeeiBTMVzwny0aCU0S8BYL9UG/ZvkzqylfRtLCioqGjRihzPw1xsp9mTg/qiTdm5\nucdlhDU/Z0dbu/zVG1k7elwiZq01u/5aW84tg44NcXa3pG84k8jQaq5kofn6dtb+VMOOGnhi1Z4b\nsf92O3aU7l5XIpKBGt17t2ujY8HTcq3z/IUPm775ExtZe7Etkcjptt0JdSKyXs3Fd2MpIUkSNXpk\nLiIXe3k9GgxNX02ts5L707+OWc5m0o4qNt6mRwH33kaYg7K8nqrPa69nI5b1elveK3ed1R3mRifH\nA5tMZR+Z5EYmHakR23s9W4IUhfI77Y1kubncqJPJVH5Zm3fumr5+X665v31RIpd/8bWvmOUuX/62\nfE1uO6689WbWLpVUfDe1x9lARdvDMBejj+3n96jgSR0AAAAAFBg3dQAAAABQYNzUAQAAAECBHWhN\n3dPPytC+rRMrpm95aT1r37tvM7jz81JjECSS2y4HNiN7Tw2vG1V3Td/93dtZ++ZtyeeWSrZOYX5O\nssDDoc0ap5HcA3tVLJckuboN79Vy9r55RkkdAOybH/uxH7b/oI6xldzQ/luXN7N2bUXOH3PH22a5\nciD1TP3LtuatMpCa7/YTG6bv2i2pTTp+/MmsvX7aDhmfqnqOccWeP3pOaoXuX5Wh8ac3bV3Jh8Zq\nygQ3Nn2dXn6yBey3jbNr5vX169ezdn8sv6tWbkj367dkCPaNE1umb+XkyawdqNq4vbv3zHLL6zKk\nezyy+0WlrKaOqsr1RylYMsuV1FQd/Z6t2Sup65tpboqpoRqGfn5Rvrf897l7R67HwrrdH+eW5Ppv\nMFZjKOSmfEpVjdTmjh3/YJTa6z88uE5Xfpbdvj121NQ168uvvGL6rt6TMSdabfl9N+p2/Imyl+v0\nixffMH07u/dlfVe/o/7dfhZmqRwX01zdny6Bns30cnaxNFHTauTGswiO6JQYR/O7AgAAAIAfENzU\nAQAAAECBHWj8sjQ3Ly+qdvjbjQs/Il3qsb1zztVieVw7c/Lov9+3sYBjdXmkP8mNf+vVkM8bjeNZ\nuzW/bpbrbt3J2vfu2sfBU/VIeTRRj6wD+1i3UZGozWRooxGlsv2+AQAPb2POTo+TxHLsD3MRm/nH\nH8vaW9dUXP92xS73IZn2Zukhw1e2AAAKpklEQVSCjRbd/OofZu3h9R3T96Nq/c12K2vXZ3bKgXEq\n549u10bfdm7Jee3W61I2sPvWtlnueFXOM3szG6Hqb952eLRmiR0SfXFZft/jkUQK19ePm+V8LMP2\nf/WV75i+n1yX+GUykyjvcGCvI6oV2V8nEzsFVFOVpfS6EntsVu0+uKzikpOBnUpAp90qjZbp03ta\n6uSz1mjb+OXeppTRxDM7ZUKshtSPyhKRnuRSdulIfsa7u3Ybm3O2hAcPLqpI2VE0tvHvcSrHzNe+\nY/fPrZf/MmvXa2p6mMjeSujY7HCY37dUXFLlJcMwf22s4rW5a2wdpQzUNAsufMccYt/za96WW/aI\n4EkdAAAAABQYN3UAAAAAUGDc1AEAAABAgR1oTd3FSzJU8yeOLZq+3V3pWztnayQCJ5ncyVjq6+Zz\n45d27kkNXC2XMz+2KO+3O5M8euk5mwMfqqkPvvi53zF9N67Le4emNs5mc/VMCNPcfXMwtdsFAHh4\ntcDWYsxCVcMR2LrrxqosO9eUc8K969fMcpMtOZe0T9hzxMqTS2o5O9S825Qau2ok711trZrFrr8p\ntduvvWJryLdvyfbrYfJPN+z0DLNYalP6M3sOmqS2xg77b2fL1gpV1DgBupTz3l07RdN0KNc62x1b\nk/kRNd1B08m0TLo+0znn2suy79aac6avXJHpOYJUtunWldfNcr0tqcmMKnbfqjRl/AOfq5c6tS7j\nENy9fStrhyU7bUe1KetsNMqmb6LqrKrqexuObZ3idk9+Pt2O/SwnJbvNeHBjNSaEnp7LOeeGY9k/\ne7npLMaqFjJWx58wd52rSureMa2XnvIrSeQaPj9rQeDfff6vWW7MDPXO7/o1+Zo6fzRL6nhSBwAA\nAABFxk0dAAAAABTYgcYvFyIZAjWc2CFub15+M2uvP/a06asufShrN9Ju1h5s2+hLLVFD9OaGUd3s\nyuv5lbNZe2n9jFlu2JMoQ2BTDW5WlkfR+pH1dDoxy3n1WNqndrjYOD7QHzkAHGlL63XzejSS4/Rs\nZo+/UUn9HbMl0bQ4F+W6f0Nij5O3QtPnQzl3JXP276KJiuJvXZO4fjW08cvXviLxy4uv3zF9p+oy\nhcLZmpQKnGvYIenTTYnqjXKpo+57xJCwP5LU5rcaTYk9RioRvH3fXqesLslQ/AurS6bv1ddey9rP\nnJb1PfH4KbPcTEXJxmN7/RGVJeoYqKkEdjdtxPi+KgV56tmPmL7WvEQiR5PckPfq8zVV8bwwtJ+F\nZlPHQG2ssj+Q7arr66xcjPjSFdnm7qBv+qbOvsaDG43kejjwuWc7Kpc4mdh9S9NxxiR3nZvqbGNi\no5J2ye+9PuecS9QxLMhFRP0DZifNOnPrP6pHSJ7UAQAAAECBcVMHAAAAAAV2oFnAxzYkdpB4+0h2\nfVX64pF9VD9QI2NOYumbDu3mz5zEU968ecP0vfraX2TtT3xc1re0buMPna5EJUo21eOWz0gsJlEj\n+sxy8YRYxSH27u+avnE3t1IAwEPrjbfN6+FIYo/xrGf6dDQ+SVSEPrBx/cbqhizXteeZrXudrF1e\n6pq+5qpENSttOafNrtmwT/eyRCcXcvGkM5Fsl1cjAwYjO6JlWFLbNbHrbxzVbNH3kdacrc9YW1/L\n2kEkv4BeZ88st7Utv/tP/fiLpi+cSl+jJr/vZsu+V60u1zo+tKO/pioWGoQSxayWbHw3iSU6Odde\nN31RRUa/jLwdAbHfkW3c2ZTrpSgXv2zNSTnMYGfT9HU78rlcXFdxv7H9LNy4JdHkas1+nxX3biMg\n4v+nUpH9Yjq119t6VMtZ7tikI4ypCjDmF3N65MpcVFJHInWMMs2tJD8q58NIzfa+o/MDr//7EU/q\nAAAAAKDAuKkDAAAAgALjpg4AAAAACuxAa+rWn3k2a5dXztkNqcvwt4ORrYMYdqRu4e4tGWp6566t\nm5tNpS6i1qqavuVlyWNfv/X1rL127IRZLh7Ie6dDW8Pg+zvyXqkMyZt6m82tVeS9yus2B96pHNFp\n7AHgENzfesO8jmfquJ3aY3igarnTpKLa9rhca8j5Y27lQ6ZvEst5Z3D3lv26liz7xMqnsvbtv/pL\ns9ypqZw/zDQLzrnKWPomqj47HdjappIeUjzOFbWEU4dHazCy9ZSBOtWfO3cma8e56Ztef03215f+\n9CXT95Of/mjWPntO6jrDKHfdEEjt5nhqf9d7XbmGaaraqaVjdj+eT6R2qlJfNH3jqap18vYycaqG\nuY+n8vmqVitmuYneP4Oy6XOhbP9E1VLtdm1ta6sldYALc/aabjK1n208uFTVIw6HdmqI0Knf1QPW\nnb1jhgH9D+9RU2e36cGZWjxdN/c+6uTez7JFwpM6AAAAACgwbuoAAAAAoMAONH658vjzWbsf2cf9\n3/r617L2OPc4uNORaQE2b17L2uHMznZfrcq3c+KsjVU+97hED+JQpiYohfNmuVJZogzRyMZdBm/d\nzNqJGvY1zt0a91S0oL7UMH1rx+0UCgCAD2BgzwOVVGJaYVLLLSyxIxtbyw2nraJ0YWSjY8sn5Nx1\nZ2jPY+6KHO+3X/5K1t799rfMYsfUdASdvo3nTYayLbGawieKbcxuNJXve5qLjzYcMf9H7YlnzpvX\ncSJxwIVlmYLg45/4mFmuWpZ98vK1y6ZvNJZ11Bsy/VEptFGxQMUvR7mpLsZqHelM9p9xZC/36hXZ\nji01TYFzzpUbsv3TmR3yfm9PrscCFZqrVe1nLVaR4EqjZfoqI4lZjlUMdLtjI627O7Jd83V77eQT\nu114P1RkcWan5Jqon2vyjoTi9z6u5BfT8Uifi1/mX++n9xOpDIKj+UzraH5XAAAAAPADgps6AAAA\nACgwbuoAAAAAoMAOtKbu/tVvZ+1bXZvj/fxv/3bWbtbsNACjsQzRu74mUx/MtWy92pUbMt3BJLB5\n68XjZ7L248++IB0zOwzv9q4arnpks787Q1mnT+VHNxraeoyeHmK1Z+vynrIlfACAD2Dsba1ZRRWC\nVEu2zidSw3VXVe1zWMrVfdSkb5obkr4cSW3Pk+my6dt75a+y9qU7Uv9dDuypNlBDxs8Su/1DNXXB\nbCbfS5jac1pDnWfCXK3LrSNaL/L9pKr2Eeece/FFmcJirOod11fXzXLLKwtZ+2tfs/tnvSzrrKi6\ntsjb331Z1cfNhnumb9JV21WV+tJOb9cs983X5FpnddnWhq6uyjYmib2+KanVtxfkgiae2tpWF8o+\nWGo0TVc0lpq64Uz23e09e71041Yna3tv9+l2205xgAc3Hckxp16z19GdoVybJ3GultPUw6lpBXJV\ndWapB6yhe696OF1Dml/2QevoDrK27zBx5AcAAACAAuOmDgAAAAAKzB/VWdUBAAAA4AcBT+oAAAAA\noMC4qQMAAACAAuOmDgAAAAAKjJs6AAAAACgwbuoAAAAAoMC4qQMAAACAAuOmDgAAAAAKjJs6AAAA\nACgwbuoAAAAAoMC4qQMAAAC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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd531075320>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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W8HXIzO+8ulG0396Zqr5Ln+Fqfk9dfq5oH3zrutpu574If7D+TUZWd0oSbmdW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\nnRzzZ1Uq+rOMy7lN00TvIxH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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd4c226e860>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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CRiOby6OPpzhVyGyvZHPDq2W5tqxelWvVxhWblzp+x7G8vL6yYOq+8Nd/kZdb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\nQmCC\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd4c226e7b8>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "torch.manual_seed(12345)\n", | |
| "\n", | |
| "sampler = SubsetRandomSampler(list(range(40)))\n", | |
| "transformed_batches = DataLoader(dataset=transformed_ds, batch_size=5, sampler=sampler, drop_last=True, num_workers=3)\n", | |
| "display_batches(transformed_batches, loop_max_counter=6)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd531075390>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd525ad34e0>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd525ad3550>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd52593f0f0>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd525c86eb8>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
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JiV/mnC4vsXNZEzntxDIA7mfD0CmtCvR7eE70tpTT9RMzo7JP/tBjj8XtfEVf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\nxRu6nm9qRuosXnv5Ldmmlp7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| |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7fd525c86f28>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "torch.manual_seed(12345)\n", | |
| "\n", | |
| "sampler = SubsetRandomSampler(list(range(40)))\n", | |
| "transformed_batches = DataLoader(dataset=transformed_ds2, batch_size=5, sampler=sampler, drop_last=True, num_workers=3)\n", | |
| "display_batches(transformed_batches, loop_max_counter=6)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.5.2" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 1 | |
| } |
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