importtorchimportnumpyasnpargs={'input':torch.from_numpy(np.array(np.random.uniform(-1000_000,1000_000, [8,0])).astype('float16')),'other':torch.from_numpy(np.array(np.random.uniform(-1000_000,1000_000, [0,8,0])).astype('float16')),'out':torch.from_numpy(np.array(np.random...
if isinstance(x, np_arrays.ndarray): return x.data return x @@ -1034,7 +1029,6 @@ def gradient(self, " of Tensors or Variables to be differentiated," " but recieved %r" % (target)) num_ndarrays = 0 flat_targets = [] for t in nest.flatten(target): if not backprop_util.Is...
在这个示例中,np.meshgrid函数生成了两个二维数组X和Y,它们分别代表网格点的X和Y坐标。 如果_vf.meshgrid是一个特定库或框架中的私有函数,并且你无法直接访问它,那么建议使用公开的、官方支持的API作为替代方案。例如,如果你正在使用PyTorch,并且_vf.meshgrid与PyTorch有关,那么你可以查看PyTorch的官方文档,找到类似功...
There are three possible courses of action here: Throw a warning like numpy and continue returning nan Throw a domain error like math.sqrt Return a complex tensor like cmath >>> np.sqrt(np.array([-1])) <stdin>:1: RuntimeWarning: invalid ...
FlaxLlamaForCausalLM import pandas as pd -from torch.utils.tensorboard import SummaryWriter from torch.utils.data.dataset import random_split -from tqdm import tqdm -import os import argparse import json from accelerate import Accelerator import os import torch.nn as nn -import numpy as np + +...
FlaxLlamaForCausalLM import pandas as pd -from torch.utils.tensorboard import SummaryWriter from torch.utils.data.dataset import random_split -from tqdm import tqdm -import os import argparse import json from accelerate import Accelerator import os import torch.nn as nn -import numpy as np + +...