return input.numpy() with torch._subclasses.FakeTensorMode(): model = MyNumpyModel() _ = torch.export.export(model, args=(torch.randn(1000),), strict=False) Error: RuntimeError:.numpy() is not supported for tensor subclasses. Attempt: Inside tracing, the tensor isFunctionalTensor(_to_fu...
repo_id = "/content/model.ckpt" pipe = StableDiffusionPipeline.from_single_file( repo_id, torch_dtype=torch.float16, use_karras_sigmas=True, algorithm_type="sde-dpmsolver++" ) pipe.to('cuda') pipe.load_lora_weights(".", weight_name="/content/model/lora/model-lora.safetensors") imag...
(encode, batched=True) # Format the dataset to PyTorch tensors imdb_data.set_format(type='torch', columns=['input_ids', 'attention_ mask', 'label'])With our dataset loaded up, we can run some training code to update our BERT model on our labeled data:# Define the model model = ...
self.model_trt.load_state_dict(torch.load(OPTIMIZED_MODEL)) File “/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py”, line 1468, in load_state_dict load(self) File “/usr/local/lib/python3.6/dist-packages/torch/nn/modules...
torch.Size([2, 2]) 因为我们只有两个句子和两个标签,所以我们从模型中得到的结果是2 x 2的形状。 对输出进行后处理 我们从模型中得到的输出值本身并不一定有意义。我们来看看, print(outputs.logits) ## tensor([[-1.5607, 1.6123], [ 4.1692, -3.3464]], grad_fn=<AddmmBackward>) ...
How to convert a Torch Tensor to PIL image - The ToPILImage() transform converts a torch tensor to PIL image. The torchvision.transforms module provides many important transforms that can be used to perform different types of manipulations on the image d
bid = torch.tensor(df_edge_2["bid"].to_numpy()) pid = torch.tensor(df_edge_2["pid"].to_numpy()) # Create adjacency matrix with node data adj = SparseTensor(row=bid, col=pid) The next step is to add node and edge attributes, which attributes are standardized usingsklearn...
model_id ='black-forest-labs/FLUX.1-dev'adapter_id =f'output/{lora_name}/{lora_name}.safetensors'pipeline = DiffusionPipeline.from_pretrained(model_id) pipeline.load_lora_weights(adapter_id) prompt ="ethnographic photography of man at a picnic"negative_prompt ="blurry, cropped, ugly"pipelin...
Next, you mustcreate an OpenAI accountand navigate to theAPI key pagetoCreate a new secret key. Make sure to save this somewhere safe and do not share it with anyone. Next, let's open up a new Python file and initialize our OpenAI API client: ...
import glob import torch import numpy as np from PIL import Image from torchvision import transforms def _make_3d_tensor(x) -> torch.Tensor: """This function is for images that have less channels. :param x: input tensor :type x: torch.Tensor :return: return a tensor with ...