In this scenario, the gaugeon fields together with the standard fields of the Abelian rank-2 antisymmetric tensor theory get mass. In order to develop the gaugeon formulation for this theory in VSR, we first introduce a set of dipole vector fields as a quantum gauge freedom to the action....
We construct a Harder-Narasimhan filtration for rank $2$ tensors, where there does not exist any such notion a priori, as coming from a GIT notion of maximal unstability. The filtration associated to the 1-parameter subgroup of Kempf giving the maximal way to destabilize, in the GIT sense,...
tensorflow遇到问题: ValueError: Tried to convert 't' to a tensor and failed. Error: Argument must be a dense tensor: range(0, 3) - got shape [3], but wanted []. 原因是python2转python3后,range()返回的shape是range(0...maven的pom文件报错: must be "pom" but is "jar" 问题 解决...
TensorFlow报错Input to reshape is a tensor with XXX values, but the requested shape ... 完整报错代码: 分析+定位+解决: 分析错误:张量reshape不对,实际输入元素(值)个数与所需矩阵元素个数不一致,所以报错; 举个例子(个人理解): 8个元素非要reshape成2行5列10个元素,元素不够就报错了: ValueError: ...
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So I suppose your labels tensor should be of shape [None]. Note that a given tensor with shape [None, 1] or shape [None] will contain the same number of elements. Example input with concrete dummy values: >>> logits = np.array([[11, 22], [33, 44], [55, 66]...
Tensor rank is not a straight-forward extension of matrix rank. A constructive proof based on an eigenvalue criterion is provided that shows when a 2×2×2 tensor over is rank-3 and when it is rank-2. The results are extended to show that n×n×2 tensors over have maximum possible ...
We study an upper bound of ranks of $n$-tensors with size $2imes\cdotsimes2$ over the complex and real number field. We characterize a $2imes 2imes 2$ tensor with rank 3 by using the Cayley's hyperdeterminant and some function. Then we see another proof of Brylinski's result that...
In this paper we discuss a multilinear generalization of the best rank-R approximation problem for matrices, namely, the approximation of a given higher-order tensor, in an optimal least-squares sense, by a tensor that has prespecified column rank value, row rank value, etc. For matrices, the...
(at::Tensor&, c10d::AllreduceOptions const&) + 0x10 (0x7d0e061a4600 in /workspace/kohya_ss/venv/lib/python3.10/site-packages/torch/l ib/libtorch_cuda.so) | 777/13485 [06:47<1:39:20, 2.13it/s] [rank2]: frame #12: c10d::ProcessGroupNCCL::barrier(c10d::BarrierOptions const&...