from dataloader import bAbi_Dataset import torch import torch.nn as nn from model import model from pytorch_transformers import AdamW device = torch.device("cuda" if torch.cuda.is_available() else "cpu") if torch.cuda.is_available(): print("GPU:" + str(torch.cuda.get_d...
import random, os, sys import numpy as np from tensorflow.keras.models import * from tensorflow.keras.layers import * from tensorflow.keras.callbacks import * from tensorflow.keras.initializers import * import tensorflow as tf from tensorflow.python.keras.layers import Layer try: from dataloader imp...
~/anaconda3/envs/open3d/lib/python3.7/site-packages/open3d/_ml3d/torch/dataloaders/torch_dataloader.py in getitem(self, index) 95 96 if self.transform is not None: ---> 97 data = self.transform(data, attr) 98 99 inputs = {'data': data, 'attr': attr}~/anaconda3/envs/open3d/...
blockDim = (min(round_up(m, 32), 1024), 1, 1) NameError: name 'round_up' is not defined ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 321) of binary: /usr/bin/python3 Traceback (most recent call last): File "/usr/local/bin/torch...
译者:BXuan694 torchvision.utils.make_grid(tensor, nrow=8, padding=2, normalize=False, range=...
train_dataloader(self): return DataLoader(self.hm_train, batch_size=20, drop_last=True) def val_dataloader(self): return DataLoader(self.hm_val, batch_size=20, drop_last=True) def test_dataloader(self): return DataLoader(self.hm_test, batch_size=20, drop_last=True) data_module = Hm...
(cat=False) train_dataset = MNISTSuperpixels(path, True, transform=transform) test_dataset = MNISTSuperpixels(path, False, transform=transform) train_loader = DataLoader(train_dataset, batch_size=64, shuffle=True) test_loader = DataLoader(test_dataset, batch_size=64, shuffle=False) d = train_...
data_loader = torch.utils.data.DataLoader(dataset, batch_size=2, shuffle=True, num_workers=4, collate_fn=utils.collate_fn) as NameError: name 'utils' is not definedWhat could be wrong?The whole code is as follows.import os import numpy as np import torch from PIL import Image class ...
--train_data /opt/data/private/zzq/dataset/train_data/2.0/finetune_data_for_reranker_2.0.jsonl --learning_rate 2e-4 --num_train_epochs 1 --per_device_train_batch_size 1 --gradient_accumulation_steps 16 --dataloader_drop_last True ...
at com.example.demo.DataLoader.run(DataLoader.java:17) ~[classes/:na] at org.springframework.boot.SpringApplication.callRunner(SpringApplication.java:784) ~[spring-boot-2.2.2.RELEASE.jar:2.2.2.RELEASE] ... 10 common frames omitted Caused by: javax.persistence.RollbackException: Error while com...