确保im的类型是<class 'numpy.ndarray'>,并且它的形状符合你的期望。如果im不是NumPy数组,你需要将其转换为NumPy数组,或者确保你传递给torch.from_numpy()的是一个有效的NumPy数组。 重新尝试执行操作: 在确认NumPy库已经正确安装并且im是一个有效的NumPy数组后,再次尝试执行torch.from_numpy(im)操作。如果...
device = torch.device("cuda") model = TheModelClass(*args, **kwargs) model.load_state_dict(torch.load(PATH, map_location="cuda:0")) # Choose whatever GPU device number you want model.to(device) # Make sure to call input = (device) on any input tensors that you feed to the mode...
eg2. torch.Tensor/torch.LongTensor etc. 解决:同上 eg3. requires_grad参数只在torch.tensor中支持,torch.ones/torch.zeros等不可用 eg4. tensor.numpy() eg5. tensor.bool() 解决:tensor.bool()用tensor>0代替 eg6. self.seg_emb(seg_fea_ids).to(embeds.device) 解决:需要转gpu的地方显示调用.cuda...
在 model = AutoModel.from_pretrained(model_name, trust_remote_code=True)之后的行中,尝试添加 model.to(device)。没有这个,该模型实际上可能没有移至GPU(因此在CPU上仍在运行,并且要慢得多)。接下来,在定义函数 generate_embeddings时,用以下方式替换您在函数中拥有的当前代码 nlp rag pinecone ...
model.visual 111 + 112 + pixel_values_on_device = pixel_values.to(visual.device, 113 + dtype=visual.dtype) 114 + image_grid_thw_on_device = image_grid_thw.to(visual.device, 115 + dtype=torch.int64) 116 + image_embeds = visual(pixel_values_on_device, 117 + grid_thw=...
🐛 Describe the bug import torch import torch.nn as nn import torch.nn.functional as F x=torch.randn(176,64,56,56) y=torch.randn(176,128,28,28) input_names=['input'] output_names=['output'] class embedding_concat(nn.Module): def __init__(...
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") # 可视化部分图像数据,以便了解数据扩充 def imshow(inp, title=None): """ Imshow for tensor """ inp = inp.numpy().transpose((1, 2, 0)) mean = np.array([0.485, 0.456, 0.406]) ...
torch.argmax(input, dim=None, keepdim=False) 返回指定维度最大值的序号 dim给定的定义是:the demention to reduce.也就是把dim这个维度的,变成这个维度的最大值的index。 举例说明: 例子1:torch.argmax()函数中dim表示该维度会消失。 这个消失是什么意思? 官方英文解释是:dim (int) – the dimension to...
9 10 from http import HTTPStatus 10 11 from pathlib import Path 11 12 from typing import Annotated, Literal, Optional 12 13 13 - import librosa 14 14 import numpy as np 15 15 import pyrootutils 16 16 import soundfile as sf 17 17 import torch 18 + import torchaudio 18 ...
scipy 1.11.0 requires numpy<1.28.0,>=1.21.6, but you have numpy 2.1.1 which is incompatible. torchtext 0.16.0a0 requires torch==2.1.0a0+b5021ba, but you have torch 2.4.1 which is incompatible. Ok I solve it , numpy 1.24 can work. Sign up for free to join this conversation on...