Before learning how to convert an image to a PyTorch Tensor, one must know how images are stored as tensors. Tensors are the data structure of choice for images because of their multidimensional nature. Within PyTorch, images are stored in terms of values in these tensors as follows: “Bla...
def convert_to_tensor(self, sample): tensor_sample = {} for k, v in sample.items(): if v is None: continue elif isinstance(v, str): tensor_sample[k] = v elif isinstance(v, np.ndarray): if len(v.shape) == 3: tensor_sample[k] = torch.from_numpy(np.transpose(v, [2, 0,...
🐛 Describe the bug torch.compile fails on pack and unpack functions Minimal repro minimalrepo.py.zip Versions Python: 3.10.14 Torch nightly : 2.4.0.dev20240526 Error logs (ao) (base) james@instance-20240521-043202:~/bitnet$ python test/d...
Since many many popular LoRA models are shared in .safetensors format, and the end users love LoRA very much as it really perform very well in generating great images, it's quite important for us developers that diffusers could have a generic approach/script to convert the .safetensors LoRA...
1, firstly convert pytorch model to onnx import torch torch.onnx.export(mymodel,(input_tensor,),'./data/model.onnx') 2, convert the onnx model to openvino import openvino as ov core = ov.Core() ov_model = core.read_model('data/model.onnx') Transl...
importtorch.onnx#Function to Convert to ONNXdefConvert_ONNX():# set the model to inference modemodel.eval()# Let's create a dummy input tensordummy_input = torch.randn(1, input_size, requires_grad=True)# Export the modeltorch.onnx.export(model,# model being rundummy_input,# model in...
with torch.no_grad(): for src in DataLoader(reader): # RGB tensor normalized to 0 ~ 1. fgr, pha, *rec = model(src, *rec, downsample_ratio) # Cycle the recurrent states. com = fgr * pha + bgr * (1 - pha) # Composite to green background. ...
uint8) imageM[:,:] = (127,127,127) input_tensor = np.expand_dims(imageM, 0) # Add N dimension log.info('Reshaping the model to the height and width of the input image') n, h, w, c = input_tensor.shape model.reshape({model.input().get_any_name():...
TensorFlow saved_model: export failure: can’t convert cuda:0 device type tensor to numpy. 对于此类问题,作者在issue中的统一回答是:新版本已解决了该问题,请使用新版本。 然而,直接使用新版本毕竟不方便,因为在工程中很可能已经做了很多别的修改,使用新版本会直接覆盖这些修改。因此,解决思路是用新版本的修...
def convert_conv2convws_model(module, process_group=None, channel_last=False): mod = module if isinstance(module, torch.nn.modules.conv._ConvNd): if isinstance(module.bias, torch.Tensor): bias = True else: bias = False mod = Conv2dWS(module.in_channels, module.out_channels, module.ker...