# 需要導入模塊: import torch [as 別名]# 或者: from torch importset_printoptions[as 別名]defdecide(self, prev_output_tokens, encoder_out, context_size):torch.set_printoptions(precision=1)# source embeddingssrc_emb = encoder_out['ctrl_encoder_out'][:, :context_size]# B, Ts, ds# target ...
torch.set_printoptions(precision=None, threshold=None, edgeitems=None, linewidth=None, profile=None) precision是每一个元素的输出精度,默认是八位;threshold是输出时的阈值,当tensor中元素的个数大于该值时,进行缩略输出,默认时1000;edgeitems是输出的维度,默认是3;linewidth字面意思,每一行输出的长度;profile=...
--> 102 torch.set_printoptions(linewidth=320, precision=4, profile='default') 103 np.set_printoptions(linewidth=320, formatter={'float_kind': '{:11.5g}'.format}) # format short g, %precision=5 104 cv2.setNumThreads(0) # prevent OpenCV from multithreading (incompatible with PyTorch DataLoa...
torch.set_printoptions 设置打印选项 torch.set_printoptions(precision=None, threshold=None, edgeitems=None, linewidth=None, profile=None) precision – 浮点数输出的精度位数 (默认为8 ) threshold – 阈值,触发汇总显示而不是完全显示(repr)的数组元素的总数 (默认为1000) edgeitems – 汇总显示中,每维(轴...
torch.set_printoptions(2) 1. 2. 3. 4. 5. ##这里是学习锚框使用的pytorch的一些基础的知识。 ## 每日一学基础知识 #pytorch.torch.set_printoptions(precision=None, threshold=None, edgeitems=None, linewidth=None, profile=None, sci_mode=None) ...
例子:>>> a = torch.randn(4) >>> a -0.6366 0.2718 0.4469 1.3122 [torch.FloatTensor of size 4] >>> torch.asin(a) -0.6900 0.2752 0.4633 nan [torch.FloatTensor of size 4]torch.atantorch.atan(input, out=None)→ Tensor返回一个新张量,包含输入input张量每个元素的反正切函数...
torch.setprintoptions(precision=None, threshold=None, edgeitems=None, linewidth=None, profile=None, scimode=None) 设置打印的参数。 参数: precision:浮点数输出的精度,默认4 threshold:超过数目则只打印数组的总览,默认1000 edgeitems:总览打印时每个维度开始与结束时打印的数目,默认3 linewidth:行宽,指一行打印...
set_printoptions(precision=4) np.set_printoptions(suppress=True) d = 1e-3 z = torch.tensor([-1.0 - d, -1.00 + d, 0.5, 1.0 - d, 1.00 + d], requires_grad=True) print('inputs: ', z.detach().numpy()) print('torch acos: ', torch.acos(z).detach().numpy()) # raw acos ...
torch.set_printoptions(precision=None,threshold=None,edgeitems=None,linewidth=None,profile=None) precision是每一个元素的输出精度,默认是八位; threshold是输出时的阈值,当tensor中元素的个数大于该值时,进行缩略输出,默认时1000; edgeitems是输出的维度,默认是3; ...
torch.set_printoptions(precision=None,threshold=None,edgeitems=None,linewidth=None,profile=None,sci_mode=None)[source] Set options for printing. Items shamelessly taken from NumPy Parameters precision– Number of digits of precision for floating point output (default = 4). ...