Created
September 20, 2023 19:26
-
-
Save gitttt-1234/aab57ee8b0eaa437d0178f50690125d8 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "d9814eee-f863-42d5-80a0-3d7256d62ea5", | |
| "metadata": {}, | |
| "source": [ | |
| "Testing the pipeline from sleap nn and train the UNet model" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "f68e1de7-5c06-4f30-83af-6fbae1f8a2c4", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "f68e1de7-5c06-4f30-83af-6fbae1f8a2c4", | |
| "outputId": "4796108c-23fb-450c-8656-970d3651e887", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# !pip install sleap-io>=0.0.7\n", | |
| "# !pip install Lightning\n", | |
| "# !pip install pytorch-lightning" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "608b5174-f047-4201-9038-696bdc8f3964", | |
| "metadata": { | |
| "id": "608b5174-f047-4201-9038-696bdc8f3964", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import torch\n", | |
| "import sleap_io as sio\n", | |
| "import numpy as np\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "from torch.utils.data import DataLoader\n", | |
| "from torch.utils.data.datapipes.datapipe import IterDataPipe\n", | |
| "import lightning.pytorch as pl\n", | |
| "import torch.nn.functional as F\n", | |
| "from pytorch_lightning.loggers import WandbLogger" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "c0b7fbd1-84a3-4664-9f0a-62957181f193", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "'0.0.11'" | |
| ] | |
| }, | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "sio.__version__" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "id": "bbe5e47a-3f2f-41ed-9f8d-29ebeb554fa4", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Requirement already satisfied: wandb in /opt/conda/envs/python37/lib/python3.7/site-packages (0.13.10)\n", | |
| "Requirement already satisfied: GitPython>=1.0.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (3.1.31)\n", | |
| "Requirement already satisfied: protobuf!=4.21.0,<5,>=3.12.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (3.19.6)\n", | |
| "Requirement already satisfied: typing-extensions in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (3.10.0.2)\n", | |
| "Requirement already satisfied: psutil>=5.0.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (5.9.3)\n", | |
| "Requirement already satisfied: pathtools in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (0.1.2)\n", | |
| "Requirement already satisfied: PyYAML in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (6.0)\n", | |
| "Requirement already satisfied: requests<3,>=2.0.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (2.28.2)\n", | |
| "Requirement already satisfied: sentry-sdk>=1.0.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (1.16.0)\n", | |
| "Requirement already satisfied: docker-pycreds>=0.4.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (0.4.0)\n", | |
| "Requirement already satisfied: appdirs>=1.4.3 in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (1.4.4)\n", | |
| "Requirement already satisfied: Click!=8.0.0,>=7.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (8.1.3)\n", | |
| "Requirement already satisfied: setuptools in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (67.4.0)\n", | |
| "Requirement already satisfied: setproctitle in /opt/conda/envs/python37/lib/python3.7/site-packages (from wandb) (1.3.2)\n", | |
| "Requirement already satisfied: importlib-metadata in /opt/conda/envs/python37/lib/python3.7/site-packages (from Click!=8.0.0,>=7.0->wandb) (4.2.0)\n", | |
| "Requirement already satisfied: six>=1.4.0 in /opt/conda/envs/python37/lib/python3.7/site-packages (from docker-pycreds>=0.4.0->wandb) (1.15.0)\n", | |
| "Requirement already satisfied: gitdb<5,>=4.0.1 in /opt/conda/envs/python37/lib/python3.7/site-packages (from GitPython>=1.0.0->wandb) (4.0.10)\n", | |
| "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/python37/lib/python3.7/site-packages (from requests<3,>=2.0.0->wandb) (2021.10.8)\n", | |
| "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/envs/python37/lib/python3.7/site-packages (from requests<3,>=2.0.0->wandb) (1.26.14)\n", | |
| "Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/python37/lib/python3.7/site-packages (from requests<3,>=2.0.0->wandb) (3.4)\n", | |
| "Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/envs/python37/lib/python3.7/site-packages (from requests<3,>=2.0.0->wandb) (2.1.1)\n", | |
| "Requirement already satisfied: smmap<6,>=3.0.1 in /opt/conda/envs/python37/lib/python3.7/site-packages (from gitdb<5,>=4.0.1->GitPython>=1.0.0->wandb) (5.0.0)\n", | |
| "Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/python37/lib/python3.7/site-packages (from importlib-metadata->Click!=8.0.0,>=7.0->wandb) (3.15.0)\n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "Failed to detect the name of this notebook, you can set it manually with the WANDB_NOTEBOOK_NAME environment variable to enable code saving.\n", | |
| "\u001b[34m\u001b[1mwandb\u001b[0m: Currently logged in as: \u001b[33mdsmurali\u001b[0m (\u001b[33mteam-ucsd\u001b[0m). Use \u001b[1m`wandb login --relogin`\u001b[0m to force relogin\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "True" | |
| ] | |
| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "!pip install wandb\n", | |
| "import wandb\n", | |
| "wandb.login()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "id": "263b4722-1d21-422d-8ca3-3a0d1ccca5e7", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# from sleap_nn.data.providers import LabelsReader\n", | |
| "from sleap_nn.data.normalization import Normalizer\n", | |
| "from sleap_nn.data.augmentation import KorniaAugmenter\n", | |
| "from sleap_nn.data.instance_centroids import InstanceCentroidFinder\n", | |
| "from sleap_nn.data.instance_cropping import InstanceCropper\n", | |
| "from sleap_nn.data.confidence_maps import ConfidenceMapGenerator\n", | |
| "\n", | |
| "import itertools" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "id": "FdlxcnxJNKKl", | |
| "metadata": { | |
| "id": "FdlxcnxJNKKl", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "'''This class returns the image and the corresponding confidence map for the DataLoader'''\n", | |
| "class SleapDataset(IterDataPipe):\n", | |
| " \"\"\" Returns image and corresponding heatmap for the DataLoader\n", | |
| "\n", | |
| " This class is to return the image and its corresponding confidence map\n", | |
| " to load the dataset with the DataLoader class\n", | |
| "\n", | |
| " Attributes:\n", | |
| " source_dp: The previous `DataPipe` with samples that contain an `instances` key.\n", | |
| "\n", | |
| " \"\"\"\n", | |
| " def __init__(self, source_dp: IterDataPipe):\n", | |
| " \"\"\"Initialize SleapDataset with the source `DataPipe.\"\"\"\n", | |
| " self.dp = source_dp\n", | |
| "\n", | |
| " def __iter__(self):\n", | |
| " \"\"\"Returns a tuple with the cropped image and the heatmap\"\"\"\n", | |
| " i=0\n", | |
| " for example in self.dp:\n", | |
| " example[\"instance_image\"] = example[\"instance_image\"].squeeze(dim=0)\n", | |
| " yield example[\"instance_image\"], example[\"confidence_maps\"]\n", | |
| " " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "iTHJqI2QOW-j", | |
| "metadata": { | |
| "id": "iTHJqI2QOW-j", | |
| "tags": [] | |
| }, | |
| "source": [ | |
| "#### Download Dataset and create the Data pipeline" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "id": "-jqYG_TGKYlu", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "-jqYG_TGKYlu", | |
| "outputId": "c5ba72cd-0508-456e-a06e-9a142e1c8674", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# path to dataset : \n", | |
| "# train_dataset_loc = \"../../datasets/sleap-data/datasets/wt_gold.13pt/tracking_split2/train.pkg.slp\"\n", | |
| "train_dataset_loc = \"../210205.sleap_wt_gold.13pt.local_paths.slp\"\n", | |
| "# dataset_loc = \"train.pkg.slp\"" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "id": "a88675e7-aa1e-472d-9a31-35157a2ebca8", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Labels(labeled_frames=3000, videos=30, skeletons=1, tracks=2)" | |
| ] | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "train_labels = sio.load_slp(train_dataset_loc)\n", | |
| "train_labels" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "id": "aa1ee3a1-1155-45da-82bb-5673834b6a9a", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "\"\"\"This module implements pipeline blocks for reading input data such as labels.\"\"\"\n", | |
| "from torch.utils.data.datapipes.datapipe import IterDataPipe\n", | |
| "import torch\n", | |
| "from typing import List\n", | |
| "\n", | |
| "class LabelsReader(IterDataPipe):\n", | |
| " \"\"\"Datapipe for reading frames from Labels object.\n", | |
| "\n", | |
| " This DataPipe will produce examples containing a window of frames and an sleap_io.Instance for the center frame\n", | |
| " from a sleap_io.Labels instance.\n", | |
| "\n", | |
| " Attributes:\n", | |
| " labels: sleap_io.Labels object that contains LabeledFrames that will be\n", | |
| " accessed through a torchdata DataPipe\n", | |
| " deltas: window indices, e.g.:`[-1, 0, 1]`\n", | |
| " \"\"\"\n", | |
| "\n", | |
| " def __init__(self, labels: sio.Labels, deltas: List):\n", | |
| " \"\"\"Initialize labels and deltas attributes of the class.\"\"\"\n", | |
| " self.labels = labels\n", | |
| " self.deltas = deltas\n", | |
| "\n", | |
| " @classmethod\n", | |
| " def from_filename(cls, filename: str, deltas: List):\n", | |
| " \"\"\"Create LabelsReader from a .slp filename.\"\"\"\n", | |
| " labels = sio.load_slp(filename)\n", | |
| " return cls(labels, deltas)\n", | |
| "\n", | |
| " def __iter__(self):\n", | |
| " \"\"\"Return an example dictionary containing the following elements.\n", | |
| "\n", | |
| " \"image\": A torch.Tensor containing full raw frame image as a uint8 array\n", | |
| " of shape (len(deltas), channels, height, width).\n", | |
| " \"instances\": Keypoint coordinates for all instances in the frame as a\n", | |
| " float32 torch.Tensor of shape (1, num_instances, num_nodes, 2).\n", | |
| " \"\"\"\n", | |
| " # filter labels with labeled frames\n", | |
| " self.labels.labeled_frames = [lf for lf in self.labels.labeled_frames if len(lf) > 0]\n", | |
| " for lf in self.labels:\n", | |
| " lf.instances = lf.user_instances\n", | |
| " instances = []\n", | |
| " for inst in lf:\n", | |
| " instances.append(inst.numpy())\n", | |
| " # load the keypoints for the center frame\n", | |
| " instances = np.stack(instances, axis=0)\n", | |
| "\n", | |
| " # get the frame indices from the source video\n", | |
| " fidx = lf.frame_idx\n", | |
| " video = lf.video\n", | |
| " finds = np.array(self.deltas) + fidx\n", | |
| " finds = np.maximum(np.minimum(finds, len(lf.video) - 1), 0)\n", | |
| " imgs = np.stack([np.transpose(l, (2, 0, 1)) for l in video[finds]],axis=0)\n", | |
| "\n", | |
| " yield {\n", | |
| " \"image\": torch.from_numpy(imgs),\n", | |
| " \"instances\": torch.from_numpy(instances.astype(\"float32\")).unsqueeze(dim=0),\n", | |
| " }\n", | |
| " " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "id": "ced8e738-4d6a-43bb-a2cd-1936efceaadb", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "\"\"\"This module stacks the images in the window into the channels dimension\"\"\"\n", | |
| "\n", | |
| "class StackImage(IterDataPipe):\n", | |
| "\n", | |
| " \"\"\"DataPipe for stacking the images in the window.\n", | |
| "\n", | |
| " This DataPipe will stack the images in the frame window into the channel dimension.\n", | |
| "\n", | |
| " Attributes:\n", | |
| " source_dp: The input `IterDataPipe` with examples that contain `\"instances\"` and\n", | |
| " `\"image\"` keys.\n", | |
| " deltas: window indices, e.g.:`[-1, 0, 1]`\n", | |
| "\n", | |
| " Notes:\n", | |
| " This block expects the \"image\" and \"instances\" keys to be present in the input\n", | |
| " examples.\n", | |
| "\n", | |
| " The `\"image\"` key should contain a torch.Tensor of dtype torch.float32\n", | |
| " and of shape `(..., 1, C, H, W)`, i.e., rank >= 3.\n", | |
| "\n", | |
| " \"\"\"\n", | |
| "\n", | |
| " def __init__(self, source_dp: IterDataPipe, deltas: List):\n", | |
| " \"\"\"Initialize the block\"\"\"\n", | |
| " self.dp = source_dp\n", | |
| " self.deltas = deltas\n", | |
| "\n", | |
| " def __iter__(self):\n", | |
| " \"\"\"Return an example dictionary with the stacked image (..., C * len(deltas), H, W) and instances.\"\"\"\n", | |
| " for dict in self.dp:\n", | |
| " images = dict[\"image\"]\n", | |
| " instances = dict[\"instances\"]\n", | |
| " image = torch.cat(images.chunk(len(self.deltas)),dim=1)\n", | |
| " # image = image.squeeze(dim=0)\n", | |
| " yield {\"image\": image, \"instances\": instances}" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "id": "925246d3-6d89-47a9-99c9-9f447f654117", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 1000 | |
| }, | |
| "id": "925246d3-6d89-47a9-99c9-9f447f654117", | |
| "outputId": "46dd4a79-dfe6-4766-b999-a4fa6cd4831a", | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "from torchdata.datapipes.iter import Shuffler, InMemoryCacheHolder, Prefetcher, Batcher\n", | |
| "\n", | |
| "deltas = [-1,0,1]\n", | |
| "datapipe = LabelsReader.from_filename(filename=train_dataset_loc, deltas = [-1, 0, 1])\n", | |
| "datapipe = StackImage(datapipe, deltas)\n", | |
| "datapipe = Normalizer(datapipe) \n", | |
| "datapipe = KorniaAugmenter(datapipe, rotation=180, mixup_p=0, erase_p=0)\n", | |
| "datapipe = InstanceCentroidFinder(datapipe) \n", | |
| "datapipe = InstanceCropper(datapipe, 160, 160) \n", | |
| "train_datapipe = ConfidenceMapGenerator(datapipe, sigma=1.5, output_stride=2) \n", | |
| "dataset = SleapDataset(train_datapipe)\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "id": "82152207-448f-4d13-8ac7-6aa48c4ac945", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "\n", | |
| "import multiprocessing\n", | |
| "\n", | |
| "cores = multiprocessing.cpu_count()\n", | |
| "cores = 2" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "id": "VkenBdZVeziv", | |
| "metadata": { | |
| "id": "VkenBdZVeziv", | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/opt/conda/envs/py39_pth2_3/lib/python3.9/site-packages/torch/utils/data/graph_settings.py:103: UserWarning: `shuffle=True` was set, but the datapipe does not contain a `Shuffler`. Adding one at the end. Be aware that the default buffer size might not be sufficient for your task.\n", | |
| " warnings.warn(\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# train, valid, test = dataset.random_split(total_length=3000, weights={\"train\": 0.8, \"valid\": 0.1, \"test\":0.1}, seed=0)\n", | |
| "# from torch.utils.data.backward_compatibility import worker_init_fn\n", | |
| "\n", | |
| "\n", | |
| "# val_dataset = val_dataset.sharding_filter()\n", | |
| "\n", | |
| "# train_data_loader = DataLoader(dataset, batch_size=4, shuffle=True, pin_memory=True, drop_last=True, prefetch_factor=2, num_workers=cores)\n", | |
| "# # val_data_loader = DataLoader( val_dataset, batch_size=4, shuffle=False, pin_memory=True, drop_last=True, prefetch_factor=2, num_workers=cores)\n", | |
| "# # test_data_loader = DataLoader(test, batch_size=4, shuffle=False)\n", | |
| "\n", | |
| "\n", | |
| "train, valid, test = dataset.random_split(total_length=4000, weights={\"train\": 0.8, \"valid\": 0.1, \"test\":0.1}, seed=0)\n", | |
| "train = train.sharding_filter()\n", | |
| "valid = valid.sharding_filter()\n", | |
| "test = test.sharding_filter() \n", | |
| "\n", | |
| "train_data_loader = DataLoader(train, batch_size=4, shuffle=True, num_workers=8)\n", | |
| "val_data_loader = DataLoader(valid, batch_size=4, shuffle=False, num_workers=8)\n", | |
| "test_data_loader = DataLoader(test, batch_size=4, shuffle=False, num_workers=8)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "id": "6ba56c28-7f8f-49a7-8993-fcf58d2aae82", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "Invalid NAL unit size (-268431284 > 532).\n", | |
| "missing picture in access unit with size 536\n", | |
| "Invalid NAL unit size (-1399290930 > 532).\n", | |
| "missing picture in access unit with size 536\n" | |
| ] | |
| }, | |
| { | |
| "ename": "KeyboardInterrupt", | |
| "evalue": "", | |
| "output_type": "error", | |
| "traceback": [ | |
| "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", | |
| "Cell \u001b[0;32mIn[15], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m viz_imgs, viz_cms \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43miter\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mval_data_loader\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(viz_imgs\u001b[38;5;241m.\u001b[39mshape, viz_cms\u001b[38;5;241m.\u001b[39mshape)\n", | |
| "File \u001b[0;32m/opt/conda/envs/py39_pth2_3/lib/python3.9/site-packages/torch/utils/data/dataloader.py:633\u001b[0m, in \u001b[0;36m_BaseDataLoaderIter.__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 630\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sampler_iter \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 631\u001b[0m \u001b[38;5;66;03m# TODO(https://github.com/pytorch/pytorch/issues/76750)\u001b[39;00m\n\u001b[1;32m 632\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reset() \u001b[38;5;66;03m# type: ignore[call-arg]\u001b[39;00m\n\u001b[0;32m--> 633\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_next_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 634\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_num_yielded \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 635\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_dataset_kind \u001b[38;5;241m==\u001b[39m _DatasetKind\u001b[38;5;241m.\u001b[39mIterable \u001b[38;5;129;01mand\u001b[39;00m \\\n\u001b[1;32m 636\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_IterableDataset_len_called \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \\\n\u001b[1;32m 637\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_num_yielded \u001b[38;5;241m>\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_IterableDataset_len_called:\n", | |
| "File \u001b[0;32m/opt/conda/envs/py39_pth2_3/lib/python3.9/site-packages/torch/utils/data/dataloader.py:1328\u001b[0m, in \u001b[0;36m_MultiProcessingDataLoaderIter._next_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1325\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_process_data(data)\n\u001b[1;32m 1327\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_shutdown \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_tasks_outstanding \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m-> 1328\u001b[0m idx, data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1329\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_tasks_outstanding \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 1330\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_dataset_kind \u001b[38;5;241m==\u001b[39m _DatasetKind\u001b[38;5;241m.\u001b[39mIterable:\n\u001b[1;32m 1331\u001b[0m \u001b[38;5;66;03m# Check for _IterableDatasetStopIteration\u001b[39;00m\n", | |
| "File \u001b[0;32m/opt/conda/envs/py39_pth2_3/lib/python3.9/site-packages/torch/utils/data/dataloader.py:1294\u001b[0m, in \u001b[0;36m_MultiProcessingDataLoaderIter._get_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1290\u001b[0m \u001b[38;5;66;03m# In this case, `self._data_queue` is a `queue.Queue`,. But we don't\u001b[39;00m\n\u001b[1;32m 1291\u001b[0m \u001b[38;5;66;03m# need to call `.task_done()` because we don't use `.join()`.\u001b[39;00m\n\u001b[1;32m 1292\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1293\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m-> 1294\u001b[0m success, data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_try_get_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1295\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m success:\n\u001b[1;32m 1296\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m data\n", | |
| "File \u001b[0;32m/opt/conda/envs/py39_pth2_3/lib/python3.9/site-packages/torch/utils/data/dataloader.py:1132\u001b[0m, in \u001b[0;36m_MultiProcessingDataLoaderIter._try_get_data\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 1119\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_try_get_data\u001b[39m(\u001b[38;5;28mself\u001b[39m, timeout\u001b[38;5;241m=\u001b[39m_utils\u001b[38;5;241m.\u001b[39mMP_STATUS_CHECK_INTERVAL):\n\u001b[1;32m 1120\u001b[0m \u001b[38;5;66;03m# Tries to fetch data from `self._data_queue` once for a given timeout.\u001b[39;00m\n\u001b[1;32m 1121\u001b[0m \u001b[38;5;66;03m# This can also be used as inner loop of fetching without timeout, with\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1129\u001b[0m \u001b[38;5;66;03m# Returns a 2-tuple:\u001b[39;00m\n\u001b[1;32m 1130\u001b[0m \u001b[38;5;66;03m# (bool: whether successfully get data, any: data if successful else None)\u001b[39;00m\n\u001b[1;32m 1131\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1132\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_data_queue\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1133\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mTrue\u001b[39;00m, data)\n\u001b[1;32m 1134\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 1135\u001b[0m \u001b[38;5;66;03m# At timeout and error, we manually check whether any worker has\u001b[39;00m\n\u001b[1;32m 1136\u001b[0m \u001b[38;5;66;03m# failed. Note that this is the only mechanism for Windows to detect\u001b[39;00m\n\u001b[1;32m 1137\u001b[0m \u001b[38;5;66;03m# worker failures.\u001b[39;00m\n", | |
| "File \u001b[0;32m/opt/conda/envs/py39_pth2_3/lib/python3.9/multiprocessing/queues.py:113\u001b[0m, in \u001b[0;36mQueue.get\u001b[0;34m(self, block, timeout)\u001b[0m\n\u001b[1;32m 111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m block:\n\u001b[1;32m 112\u001b[0m timeout \u001b[38;5;241m=\u001b[39m deadline \u001b[38;5;241m-\u001b[39m time\u001b[38;5;241m.\u001b[39mmonotonic()\n\u001b[0;32m--> 113\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_poll\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m 114\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m Empty\n\u001b[1;32m 115\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_poll():\n", | |
| "File \u001b[0;32m/opt/conda/envs/py39_pth2_3/lib/python3.9/multiprocessing/connection.py:257\u001b[0m, in \u001b[0;36m_ConnectionBase.poll\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_closed()\n\u001b[1;32m 256\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_readable()\n\u001b[0;32m--> 257\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_poll\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n", | |
| "File \u001b[0;32m/opt/conda/envs/py39_pth2_3/lib/python3.9/multiprocessing/connection.py:424\u001b[0m, in \u001b[0;36mConnection._poll\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 423\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_poll\u001b[39m(\u001b[38;5;28mself\u001b[39m, timeout):\n\u001b[0;32m--> 424\u001b[0m r \u001b[38;5;241m=\u001b[39m \u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 425\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mbool\u001b[39m(r)\n", | |
| "File \u001b[0;32m/opt/conda/envs/py39_pth2_3/lib/python3.9/multiprocessing/connection.py:931\u001b[0m, in \u001b[0;36mwait\u001b[0;34m(object_list, timeout)\u001b[0m\n\u001b[1;32m 928\u001b[0m deadline \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mmonotonic() \u001b[38;5;241m+\u001b[39m timeout\n\u001b[1;32m 930\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 931\u001b[0m ready \u001b[38;5;241m=\u001b[39m \u001b[43mselector\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mselect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 932\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ready:\n\u001b[1;32m 933\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m [key\u001b[38;5;241m.\u001b[39mfileobj \u001b[38;5;28;01mfor\u001b[39;00m (key, events) \u001b[38;5;129;01min\u001b[39;00m ready]\n", | |
| "File \u001b[0;32m/opt/conda/envs/py39_pth2_3/lib/python3.9/selectors.py:416\u001b[0m, in \u001b[0;36m_PollLikeSelector.select\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 414\u001b[0m ready \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 415\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 416\u001b[0m fd_event_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_selector\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpoll\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 417\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mInterruptedError\u001b[39;00m:\n\u001b[1;32m 418\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ready\n", | |
| "\u001b[0;31mKeyboardInterrupt\u001b[0m: " | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# sleap_io v0.0.11\n", | |
| "\n", | |
| "viz_imgs, viz_cms = next(iter(val_data_loader))\n", | |
| "print(viz_imgs.shape, viz_cms.shape)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "06570fde-1854-4549-84bd-962844690d79", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "ff0a5824-e30f-46ed-a99a-185b788658f8", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "accelerator": "GPU", | |
| "colab": { | |
| "collapsed_sections": [ | |
| "e9D78yvMNpHD", | |
| "aVIY_3pKNu5R", | |
| "DUGee1iUNz-e", | |
| "7-5cq5SkN38Q", | |
| "ndhxU1HON9oe", | |
| "f91XVNgkOAeL", | |
| "LeEk6FnDOIG0", | |
| "SXYJnhsxOMjT", | |
| "V94iV3jTOdtG", | |
| "f-zhpJ7dOj9t", | |
| "iTHJqI2QOW-j", | |
| "fTr-ISNeOopn", | |
| "NH1vACcfAXlF", | |
| "YWrEu_47AbYa", | |
| "UAxFVD-VA7L5", | |
| "QGx4b6PSA-6b", | |
| "VYJOHtyEBCev" | |
| ], | |
| "gpuType": "T4", | |
| "provenance": [] | |
| }, | |
| "kernelspec": { | |
| "display_name": "py39_pth2_3", | |
| "language": "python", | |
| "name": "py39_pth2_3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.9.18" | |
| }, | |
| "widgets": { | |
| "application/vnd.jupyter.widget-state+json": { | |
| "01b5f8e2a19b47dcbb3beaca583a1f2f": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "069c5e075db3488d84cb2f0c77179e07": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "09b24d13acc243f5876222e1134ebfbf": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "0fcde05c78d94afc8783d2188d0853cb": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "111657a127844229ba052f7e5136db35": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "FloatProgressModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "FloatProgressModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "ProgressView", | |
| "bar_style": "", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_5998b441a70f43aab8c7ec056b8c236f", | |
| "max": 2, | |
| "min": 0, | |
| "orientation": "horizontal", | |
| "style": "IPY_MODEL_d3e6867a9bf04201be3440fcad3fa9d0", | |
| "value": 2 | |
| } | |
| }, | |
| "1374573c84a548b191e110d24e3da48d": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "16dd72da16f54d4c894efc2996e225e5": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "FloatProgressModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "FloatProgressModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "ProgressView", | |
| "bar_style": "", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_9e07051cf9a14b9f91ba2f2b139d2265", | |
| "max": 50, | |
| "min": 0, | |
| "orientation": "horizontal", | |
| "style": "IPY_MODEL_4d18a5d2298c45f49a308f76cc87f9ce", | |
| "value": 50 | |
| } | |
| }, | |
| "1ac3a30172eb454bbfd81ad094de6abc": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": "2", | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "1c03623857654eeea6197f07279f3e4e": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "24d134aaf0de4426a9f9246e85ffa656": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "2b22291a29db4556afb1262696853b69": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": "2", | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "2be700d3cb274324a8760420553cfd5e": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "FloatProgressModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "FloatProgressModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "ProgressView", | |
| "bar_style": "", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_f8955761edba491cbb185611796814e5", | |
| "max": 400, | |
| "min": 0, | |
| "orientation": "horizontal", | |
| "style": "IPY_MODEL_b4778def01fa4d57a408adc1248958f3", | |
| "value": 300 | |
| } | |
| }, | |
| "2f494aab472b46c380d2946fa2cc9ffd": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_1c03623857654eeea6197f07279f3e4e", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_436619c182574dfa9cea2dfa0d8a8461", | |
| "value": " 2/2 [00:02<00:00, 1.24s/it]" | |
| } | |
| }, | |
| "309683e36683425090d9b8be44b970a4": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": "2", | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "34026914d63d484b9f8535a536881730": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "FloatProgressModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "FloatProgressModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "ProgressView", | |
| "bar_style": "", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_309683e36683425090d9b8be44b970a4", | |
| "max": 2, | |
| "min": 0, | |
| "orientation": "horizontal", | |
| "style": "IPY_MODEL_7d9f330d5dec412e8408f5f6b29abd2e", | |
| "value": 2 | |
| } | |
| }, | |
| "354d98673db24aec929dc435bf0b5f7c": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_ea11044087554916b709a9fd7ee64ef0", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_d1ac3c5d54f44a6cb82a87631fb37467", | |
| "value": "Validation DataLoader 0: 100%" | |
| } | |
| }, | |
| "35d73cf8f08d4768b3a5fd2f39237399": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "373ec2292d3245519c9ff34a7b7f0e61": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "ProgressStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "ProgressStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "bar_color": null, | |
| "description_width": "" | |
| } | |
| }, | |
| "38caa3253e75401f830ed59fe58dfb2f": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": "inline-flex", | |
| "flex": null, | |
| "flex_flow": "row wrap", | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": "100%" | |
| } | |
| }, | |
| "394df1ac77894a3a80f210ea6f06deb7": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "436619c182574dfa9cea2dfa0d8a8461": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "4bef47c390f9400f9e76c76000fa839f": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "FloatProgressModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "FloatProgressModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "ProgressView", | |
| "bar_style": "", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_2b22291a29db4556afb1262696853b69", | |
| "max": 50, | |
| "min": 0, | |
| "orientation": "horizontal", | |
| "style": "IPY_MODEL_880b58c6388b47228e534ec317d9e212", | |
| "value": 50 | |
| } | |
| }, | |
| "4d18a5d2298c45f49a308f76cc87f9ce": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "ProgressStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "ProgressStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "bar_color": null, | |
| "description_width": "" | |
| } | |
| }, | |
| "4d3b4db2e9314be4a268299cd5a1091e": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": "inline-flex", | |
| "flex": null, | |
| "flex_flow": "row wrap", | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": "100%" | |
| } | |
| }, | |
| "4e560248d5524939af07383ea1a09d83": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": "inline-flex", | |
| "flex": null, | |
| "flex_flow": "row wrap", | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": "hidden", | |
| "width": "100%" | |
| } | |
| }, | |
| "4fd3d819f8ab477ab13805944c4c4fa2": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HBoxModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HBoxModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HBoxView", | |
| "box_style": "", | |
| "children": [ | |
| "IPY_MODEL_a06e29d3bef340dc8d8e9974b6d2cc95", | |
| "IPY_MODEL_16dd72da16f54d4c894efc2996e225e5", | |
| "IPY_MODEL_e3370738a16248bda4d3f6a977ad0fae" | |
| ], | |
| "layout": "IPY_MODEL_b176e8235d9b4773bcf51f7d9a3dee3b" | |
| } | |
| }, | |
| "503268705d8c4e2fbad4ab5c7efc87d9": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HBoxModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HBoxModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HBoxView", | |
| "box_style": "", | |
| "children": [ | |
| "IPY_MODEL_9de95c13667d4fbda3b2d8b3e57bfd78", | |
| "IPY_MODEL_bd628195a4724303879f787417bb5e09", | |
| "IPY_MODEL_d797682bf1f04de6b2055168647d0e31" | |
| ], | |
| "layout": "IPY_MODEL_4d3b4db2e9314be4a268299cd5a1091e" | |
| } | |
| }, | |
| "58f70b66db864b1abd02dc2a8a200f55": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "5998b441a70f43aab8c7ec056b8c236f": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": "2", | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "606d28a74e5444a884663edef3f13e14": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_ef9bac39189a46a38b4b192a1fd832f9", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_9757b3934dd7454fa1d81e3303c42358", | |
| "value": " 0/100 [00:00<?, ?it/s]" | |
| } | |
| }, | |
| "607a0d6f7e2d4e898339bfd52a13d6b4": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "62892e7a28d94919b3b257ff3c9d0b89": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": "inline-flex", | |
| "flex": null, | |
| "flex_flow": "row wrap", | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": "100%" | |
| } | |
| }, | |
| "635c617560124e04b06483a8a26b3ec5": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "FloatProgressModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "FloatProgressModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "ProgressView", | |
| "bar_style": "", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_f19408c68b784ff892e9ff449dd9e487", | |
| "max": 100, | |
| "min": 0, | |
| "orientation": "horizontal", | |
| "style": "IPY_MODEL_e47a4028f0fa4afca5d1101cdfa87d3b", | |
| "value": 0 | |
| } | |
| }, | |
| "683e718aad854b0682cf7813ef76e55b": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "69a6bea14bc042eb82763eaa63f02406": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HBoxModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HBoxModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HBoxView", | |
| "box_style": "", | |
| "children": [ | |
| "IPY_MODEL_354d98673db24aec929dc435bf0b5f7c", | |
| "IPY_MODEL_e4e31cfc7d7f4650affceb4c70725696", | |
| "IPY_MODEL_acc7f5a09f524ab898a2fd217c3f0ec7" | |
| ], | |
| "layout": "IPY_MODEL_9a70c980baf34d2dacb3494e0f85ff85" | |
| } | |
| }, | |
| "77b6d1cfba684bc09cc149dcff30f9e9": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "7d9f330d5dec412e8408f5f6b29abd2e": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "ProgressStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "ProgressStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "bar_color": null, | |
| "description_width": "" | |
| } | |
| }, | |
| "84dde6039cab4eb5b5fdd98be25fb069": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_dbe8069872724b6889f1a0d4a379017f", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_0fcde05c78d94afc8783d2188d0853cb", | |
| "value": "Validation DataLoader 0: 100%" | |
| } | |
| }, | |
| "856322213aaa4d85981da793dd04dbe9": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "880b58c6388b47228e534ec317d9e212": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "ProgressStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "ProgressStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "bar_color": null, | |
| "description_width": "" | |
| } | |
| }, | |
| "88e9a6ddc417469b9b3d2b2da5c24c20": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "8c7f26df18d64643bcc9d854a421f790": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HBoxModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HBoxModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HBoxView", | |
| "box_style": "", | |
| "children": [ | |
| "IPY_MODEL_ea85aeb48d564016b59b0d76f6eb05a7", | |
| "IPY_MODEL_2be700d3cb274324a8760420553cfd5e", | |
| "IPY_MODEL_96e614f5c1e741d8b3c4dcdc9cc175ba" | |
| ], | |
| "layout": "IPY_MODEL_62892e7a28d94919b3b257ff3c9d0b89" | |
| } | |
| }, | |
| "90cb9661226f4cc7a468f920f3b4331c": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HBoxModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HBoxModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HBoxView", | |
| "box_style": "", | |
| "children": [ | |
| "IPY_MODEL_c5c9ea406e644913904d122ba40b0753", | |
| "IPY_MODEL_111657a127844229ba052f7e5136db35", | |
| "IPY_MODEL_2f494aab472b46c380d2946fa2cc9ffd" | |
| ], | |
| "layout": "IPY_MODEL_c4ecb86fe839406bae5c3f376fc2dc23" | |
| } | |
| }, | |
| "91480e159c9b4d6cb604e6c5cdf28951": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": "2", | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "9336da49fd5a47b0a5d7f5c2111a8fa2": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_24d134aaf0de4426a9f9246e85ffa656", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_88e9a6ddc417469b9b3d2b2da5c24c20", | |
| "value": " 2/2 [00:03<00:00, 1.56s/it]" | |
| } | |
| }, | |
| "96e614f5c1e741d8b3c4dcdc9cc175ba": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_607a0d6f7e2d4e898339bfd52a13d6b4", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_069c5e075db3488d84cb2f0c77179e07", | |
| "value": " 300/400 [05:23<01:47, 1.08s/it, v_num=6, val_loss=0.000428, learning_rate=0.001]" | |
| } | |
| }, | |
| "971e60c43720446a99e593e43d9a6099": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HBoxModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HBoxModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HBoxView", | |
| "box_style": "", | |
| "children": [ | |
| "IPY_MODEL_84dde6039cab4eb5b5fdd98be25fb069", | |
| "IPY_MODEL_4bef47c390f9400f9e76c76000fa839f", | |
| "IPY_MODEL_98037f6db2ff4abb816c77ec4aa14c70" | |
| ], | |
| "layout": "IPY_MODEL_4e560248d5524939af07383ea1a09d83" | |
| } | |
| }, | |
| "9757b3934dd7454fa1d81e3303c42358": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "98037f6db2ff4abb816c77ec4aa14c70": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_b7f5874d09cd49b3853ef65c6c6cdb0f", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_01b5f8e2a19b47dcbb3beaca583a1f2f", | |
| "value": " 50/50 [06:59<00:00, 8.38s/it]" | |
| } | |
| }, | |
| "9a70c980baf34d2dacb3494e0f85ff85": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": "inline-flex", | |
| "flex": null, | |
| "flex_flow": "row wrap", | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": "hidden", | |
| "width": "100%" | |
| } | |
| }, | |
| "9d5cebf5923a4ffc91ce23cf37918de6": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_a186ad858ac74eb8b4be6925d52f67c9", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_a236af1edcb948969cf2d98158dd113b", | |
| "value": "Testing DataLoader 0: 0%" | |
| } | |
| }, | |
| "9de95c13667d4fbda3b2d8b3e57bfd78": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_b0f4e3b7ca6940c0ad89b7a20a7ceec3", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_394df1ac77894a3a80f210ea6f06deb7", | |
| "value": "Epoch 1: 0%" | |
| } | |
| }, | |
| "9e07051cf9a14b9f91ba2f2b139d2265": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": "2", | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "a06e29d3bef340dc8d8e9974b6d2cc95": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_f7cdfc4af34c4cf1b48343b45137f788", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_a1777b60edb8436f9b546075a7a771ec", | |
| "value": "Validation DataLoader 0: 100%" | |
| } | |
| }, | |
| "a1777b60edb8436f9b546075a7a771ec": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "a186ad858ac74eb8b4be6925d52f67c9": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "a236af1edcb948969cf2d98158dd113b": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "a244d0ef3d5646b08b890e566ebc294b": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "a57d5af994f44656bce18c66d3d955c3": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "ProgressStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "ProgressStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "bar_color": null, | |
| "description_width": "" | |
| } | |
| }, | |
| "a59518c06a484fb09a4207e1f01dd99b": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "acc7f5a09f524ab898a2fd217c3f0ec7": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_e1a6a10abf3543a3aae263597cbddec5", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_b2de0ca43c5040d88ba14ab119d9661f", | |
| "value": " 50/50 [06:51<00:00, 8.24s/it]" | |
| } | |
| }, | |
| "b0f4e3b7ca6940c0ad89b7a20a7ceec3": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "b176e8235d9b4773bcf51f7d9a3dee3b": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": "inline-flex", | |
| "flex": null, | |
| "flex_flow": "row wrap", | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": "hidden", | |
| "width": "100%" | |
| } | |
| }, | |
| "b2de0ca43c5040d88ba14ab119d9661f": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "b4778def01fa4d57a408adc1248958f3": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "ProgressStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "ProgressStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "bar_color": null, | |
| "description_width": "" | |
| } | |
| }, | |
| "b5c2c60f61f74ec1bad9e94b1f67ad41": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "b7f5874d09cd49b3853ef65c6c6cdb0f": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "b85d0c3429714d0d82224382106def09": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HBoxModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HBoxModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HBoxView", | |
| "box_style": "", | |
| "children": [ | |
| "IPY_MODEL_9d5cebf5923a4ffc91ce23cf37918de6", | |
| "IPY_MODEL_635c617560124e04b06483a8a26b3ec5", | |
| "IPY_MODEL_606d28a74e5444a884663edef3f13e14" | |
| ], | |
| "layout": "IPY_MODEL_38caa3253e75401f830ed59fe58dfb2f" | |
| } | |
| }, | |
| "bd628195a4724303879f787417bb5e09": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "FloatProgressModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "FloatProgressModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "ProgressView", | |
| "bar_style": "danger", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_1ac3a30172eb454bbfd81ad094de6abc", | |
| "max": 400, | |
| "min": 0, | |
| "orientation": "horizontal", | |
| "style": "IPY_MODEL_373ec2292d3245519c9ff34a7b7f0e61", | |
| "value": 0 | |
| } | |
| }, | |
| "c4ecb86fe839406bae5c3f376fc2dc23": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": "inline-flex", | |
| "flex": null, | |
| "flex_flow": "row wrap", | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": "hidden", | |
| "width": "100%" | |
| } | |
| }, | |
| "c5c9ea406e644913904d122ba40b0753": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_a59518c06a484fb09a4207e1f01dd99b", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_b5c2c60f61f74ec1bad9e94b1f67ad41", | |
| "value": "Sanity Checking DataLoader 0: 100%" | |
| } | |
| }, | |
| "c6302258ce1f4731ac7941b5b3129cee": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HBoxModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HBoxModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HBoxView", | |
| "box_style": "", | |
| "children": [ | |
| "IPY_MODEL_dd06bc662a9544b49c69adb1db080a5c", | |
| "IPY_MODEL_34026914d63d484b9f8535a536881730", | |
| "IPY_MODEL_9336da49fd5a47b0a5d7f5c2111a8fa2" | |
| ], | |
| "layout": "IPY_MODEL_ee9aac9bec404832bc6592976a20fe85" | |
| } | |
| }, | |
| "d1ac3c5d54f44a6cb82a87631fb37467": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "DescriptionStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "DescriptionStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "description_width": "" | |
| } | |
| }, | |
| "d3e6867a9bf04201be3440fcad3fa9d0": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "ProgressStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "ProgressStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "bar_color": null, | |
| "description_width": "" | |
| } | |
| }, | |
| "d797682bf1f04de6b2055168647d0e31": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_1374573c84a548b191e110d24e3da48d", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_856322213aaa4d85981da793dd04dbe9", | |
| "value": " 0/400 [16:10<?, ?it/s, v_num=6, val_loss=0.000714, learning_rate=0.001]" | |
| } | |
| }, | |
| "dbe8069872724b6889f1a0d4a379017f": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "dd06bc662a9544b49c69adb1db080a5c": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_35d73cf8f08d4768b3a5fd2f39237399", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_58f70b66db864b1abd02dc2a8a200f55", | |
| "value": "Sanity Checking DataLoader 0: 100%" | |
| } | |
| }, | |
| "e1a6a10abf3543a3aae263597cbddec5": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "e3370738a16248bda4d3f6a977ad0fae": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_09b24d13acc243f5876222e1134ebfbf", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_683e718aad854b0682cf7813ef76e55b", | |
| "value": " 50/50 [06:58<00:00, 8.38s/it]" | |
| } | |
| }, | |
| "e47a4028f0fa4afca5d1101cdfa87d3b": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "ProgressStyleModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "ProgressStyleModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "StyleView", | |
| "bar_color": null, | |
| "description_width": "" | |
| } | |
| }, | |
| "e4e31cfc7d7f4650affceb4c70725696": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "FloatProgressModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "FloatProgressModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "ProgressView", | |
| "bar_style": "", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_91480e159c9b4d6cb604e6c5cdf28951", | |
| "max": 50, | |
| "min": 0, | |
| "orientation": "horizontal", | |
| "style": "IPY_MODEL_a57d5af994f44656bce18c66d3d955c3", | |
| "value": 50 | |
| } | |
| }, | |
| "ea11044087554916b709a9fd7ee64ef0": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "ea85aeb48d564016b59b0d76f6eb05a7": { | |
| "model_module": "@jupyter-widgets/controls", | |
| "model_module_version": "1.5.0", | |
| "model_name": "HTMLModel", | |
| "state": { | |
| "_dom_classes": [], | |
| "_model_module": "@jupyter-widgets/controls", | |
| "_model_module_version": "1.5.0", | |
| "_model_name": "HTMLModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/controls", | |
| "_view_module_version": "1.5.0", | |
| "_view_name": "HTMLView", | |
| "description": "", | |
| "description_tooltip": null, | |
| "layout": "IPY_MODEL_77b6d1cfba684bc09cc149dcff30f9e9", | |
| "placeholder": "", | |
| "style": "IPY_MODEL_a244d0ef3d5646b08b890e566ebc294b", | |
| "value": "Epoch 6: 75%" | |
| } | |
| }, | |
| "ee9aac9bec404832bc6592976a20fe85": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": "inline-flex", | |
| "flex": null, | |
| "flex_flow": "row wrap", | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": "hidden", | |
| "width": "100%" | |
| } | |
| }, | |
| "ef9bac39189a46a38b4b192a1fd832f9": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "f19408c68b784ff892e9ff449dd9e487": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": "2", | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "f7cdfc4af34c4cf1b48343b45137f788": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": null, | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| }, | |
| "f8955761edba491cbb185611796814e5": { | |
| "model_module": "@jupyter-widgets/base", | |
| "model_module_version": "1.2.0", | |
| "model_name": "LayoutModel", | |
| "state": { | |
| "_model_module": "@jupyter-widgets/base", | |
| "_model_module_version": "1.2.0", | |
| "_model_name": "LayoutModel", | |
| "_view_count": null, | |
| "_view_module": "@jupyter-widgets/base", | |
| "_view_module_version": "1.2.0", | |
| "_view_name": "LayoutView", | |
| "align_content": null, | |
| "align_items": null, | |
| "align_self": null, | |
| "border": null, | |
| "bottom": null, | |
| "display": null, | |
| "flex": "2", | |
| "flex_flow": null, | |
| "grid_area": null, | |
| "grid_auto_columns": null, | |
| "grid_auto_flow": null, | |
| "grid_auto_rows": null, | |
| "grid_column": null, | |
| "grid_gap": null, | |
| "grid_row": null, | |
| "grid_template_areas": null, | |
| "grid_template_columns": null, | |
| "grid_template_rows": null, | |
| "height": null, | |
| "justify_content": null, | |
| "justify_items": null, | |
| "left": null, | |
| "margin": null, | |
| "max_height": null, | |
| "max_width": null, | |
| "min_height": null, | |
| "min_width": null, | |
| "object_fit": null, | |
| "object_position": null, | |
| "order": null, | |
| "overflow": null, | |
| "overflow_x": null, | |
| "overflow_y": null, | |
| "padding": null, | |
| "right": null, | |
| "top": null, | |
| "visibility": null, | |
| "width": null | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment