@文心快码im = torch.from_numpy(im).to(model.device) runtimeerror: numpy is not available 文心快码 这个错误通常表明PyTorch无法找到或正确加载NumPy库。 要解决这个问题,你可以尝试以下几个步骤: 确认NumPy已安装: 确保你的环境中已经安装了NumPy库。你可以通过运行以下命令来检查NumPy是否已安装: bash pip ...
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...
torch转化为onnx,并构建InferenceSession推理: MODEL_ONNX_PATH = "../../onnx/torch_bert_base_fixed_" + str(batch_size) + ".onnx" torch.onnx.export(model, org_dummy_input, MODEL_ONNX_PATH, verbose=True, input_names=['input_ids', 'attention_mask'], output_names=['output'], opset...
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") 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...
from torch.utils.data import DataLoader from torchvision import datasets, transforms import numpy as np # 定义一个卷积神经网络的类 class Net(nn.Module): # 一般在init中定义一个网路的结构 def __init__(self): super(Net, self).__init__() ...
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...
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 ...