def to_tf_var_name(name: str): for patt, repl in iter(var_map): name = name.replace(patt, repl) return 'electra/{}'.format(name) def create_tf_var(tensor: np.ndarray, name: str, session: tf.Session): tf_dtype= tf.dtypes.as_dtype(tensor.dtype) tf_var = tf.get_variable(dtyp...
11. 在TorchScript中,有一种Optional类型,举例:在一个函数中,如果可以通过if控制来返回None或者tensor,那么这个返回值会被认定为Optional[Tensor],这会导致无法对该返回值使用tensor的内置方法或属性,比如tensor.shape,tensor.size()等; 12. TorchScript中对tensor类型的要求严格得多,比如torch.tensor(1.0)这个变量会...
input_tensor = preprocess(img)ifdtype=='fp16': input_tensor = input_tensor.half()#print(input_tensor.shape)input_batch = input_tensor.unsqueeze(0)#增加一个batch通道,torch.Size([1, 3, 224, 224])#print(input_batch.shape)iftorch.cuda.is_available(): input_batch = input_batch.to('cuda...
bitwise_not_() → Tensor bmm(batch2) → Tensor bool() → Tensor byte() → Tensor cauchy_(median=0, sigma=1, *, generator=None) → Tensor ceil() → Tensor ceil_() → Tensor char() → Tensor cholesky(upper=False) → Tensor cholesky_inverse(upper=False) → Tensor cholesky_solve(inpu...
@compatibility(is_backward_compatible=True)defsymbolic_trace(root:Union[torch.nn.Module,Callable[...,Any]],concrete_args:Optional[Dict[str,Any]]=None,enable_cpatching:bool=False)->GraphModule:""" Symbolic tracingAPIGiven an``nn.Module``orfunctioninstance``root``,thisfunctionwillreturna``Graph...
2、input_to_model (torch.Tensor or list of torch.Tensor) – 要输入的变量或变量元组。 3、verbose (bool) – 是否在控制台中打印图形结构。 add_embedding(mat, metadata=None, label_img=None, global_step=None, tag='default', metadata_header=None) ...
x,h=torch.rand(3,4),torch.rand(3,4)my_cell=MyCell(MyDecisionGate())traced_cell=torch.jit.trace(my_cell,(x,h))print(traced_cell.code)# TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so...
torch::save(tensor, torch::str("tensor.pt")); std::string filename = "tensor.pt"; torch::Tensor tensorload; torch::load(tensorload, filename ); } Versions Version 1.13.1 1.12.1 Test environment: Ubuntu 22.04 GCC 9.5 CUDA 11.3/11.6 CUDNN=8.9 ...
def _load_data(self, data_path: str) -> tuple[np.array, np.array]: """Load MNIST data from located in data_path. Args: data_path (str): path to the folder containing the MNIST data. Returns: images (numpy.array): images of the MNIST dataset. ...
weight (torch.Tensor, optional): The weight of loss for each prediction. Defaults to None. avg_factor (int, optional): Average factor that is used to average the loss. Defaults to None. reduction_override (str, optional): The reduction method used to ...