SarahAlidoostcommentedAug 1, 2024• edited The build actions failed due to the error: from torch.utils._import_utils import dill_available E ModuleNotFoundError: No module named'torch.utils._import_utils' see loghere. This is related to torchdatahttps://pytorch.org/data/beta/index.html. ...
from torch.utils.data import DataLoader num_workers = 0 batch_size = 8 torch.manual_seed(123) train_loader = DataLoader( dataset=train_dataset, batch_size=batch_size, shuffle=True, num_workers=num_workers, drop_last=True, ) val_loader = DataLoader( dataset=val_dataset, batch_size=batch_...
import torchfrom torch.utils.data.sampler import Samplerclass CustomSampler(Sampler):def __init__(self, data_source):self.data_source = data_source# 在初始化方法中,可以根据需要对数据集进行处理def __iter__(self):# 在这个方法中,可以自定义样本索引的选取方式# 这里的示例是随机选取样本indices = ...
import torch from torch.utils.data import DataLoader from torch.utils.data.sampler import RandomSampler, SequentialSampler, SubsetRandomSampler, WeightedRandomSampler # 创建一个数据集 dataset = torch.utils.data.TensorDataset(torch.randn(10, 3), torch.randint(0, 2, (10,))) # 创建一个使用RandomSa...
import torch 从torch.utils.data中导入正确的子模块: 在您的代码中,您尝试从torch.utils.data导入一个名为dataset的子模块,但实际上torch.utils.data中并没有直接名为dataset的模块。通常,我们会从torch.utils.data导入Dataset类,它是一个抽象基类,用于创建自定义的数据集。 正确的导入方式应该是: python from ...
import torch from torch.utils.data import Dataset import torchvision import numpy as np import cfg import os from utils import * from PIL import Image,ImageDraw import math LABEL_FILE_PATH = "data/data.txt" IMG_BASE_DIR = "data/images" ...
复现代码过程中遇到报错:ImportError: cannot import name '_DataLoaderIter' from 'torch.utils.data.dataloader' 。其中这个问题之前也遇到过,但是忘记是哪个模型了。
importtorchimporttorch.utils.benchmarkasbenchmark# exit cleanly if we are on a device that doesn't support torch.compileiftorch.cuda.get_device_capability()<(7,0):print("Exiting because torch.compile is not supported on this device.")importsyssys.exit(0)# Let's define a helpful benchmarki...
from torch.utils._python_dispatch import TorchDispatchMode aten = torch.ops.aten def get_shape(i): return i.shape def prod(x): res = 1 for i in x: res *= i return res def matmul_flop(inputs: List[Any], outputs: List[Any]) -> Number: ...
Traceback (most recent call last): File " train.py", line 91, in <module> from torch.utils.tensorboard import SummaryWriter File "C:\Users\Kakechima\anaconda3\envs\AI\lib\site-pack…