A massless spin-2 rank-3 mixed symmetric tensor field in de Sitter ambient space formalism is studied in this paper, which may be regarded as the linearized gravity or its dual. Recalling the field equation, the possible physical solutions of the field equation are calculated. The solutions ...
方法的目的: 插入一个维度到tensor中,主要是处理维度不匹配的现象 参数详解: input:输入的张量 axis:指定插入张量的维度的索引,可以理解为一个四维张量的索引为(0,1,2,3),如果该值为负,则从末尾开始计数 name:输出的张量的名称 dim:等同于axis,不推荐使用 拓展: tf.suqeeze(input, squeeze_dims=None, name...
"func.return"(%0) : (tensor<2x2x!onnx.String>) -> () // CHECK-LABEL: test_category_mapper_int64_to_string // CHECK-DAG: [[LEN:%.+]] = arith.constant 3 : i32 // CHECK-DAG: [[LEN:%.+]] = arith.constant 3 : i32 // CHECK-DAG: [[ALLOCA:%.+]] = memref.alloc() ...
The form of a physical property tensor of a quasi-one-dimensional material such as a nanotube or a polymer is determined from the material's axial point group. Tables of the form of rank 1, 2, 3 and 4 property tensors are presented for a wide variety of magnetic and non-magnetic tenso...
To avoid the above limitations and further improve image quality, we first formulate a non-local cube-based tensor instead of group to encode the sparsity and low-rank properties. Then, as a new regularizer, the Kronecker- Basis-Representation (KBR) tensor factorization is employed into a basic...
A brief general discussion is given of Schur modules (the irreducible components of the tensor powers of the natural module for the general linear group) and their characters. This is then applied to the above pair of 28-dimensional characters of G to obtain many irreducible characters of G ...
(paddle::Tensor const&, paddle::optional<paddle::Tensor> const&, paddle::optional<paddle::Tensor> const&, float, int, std::string) 2 paddle::experimental::group_norm_intermediate(paddle::Tensor const&, paddle::optional<paddle::Tensor> const&, paddle::optional<paddle::Tensor> const&, float...
safetensors 0.4.5 scipy 1.12.0 semantic-version 2.10.0 sentencepiece 0.2.0 setuptools 69.2.0 shellingham 1.5.4 shtab 1.7.1 simplejson 3.19.2 six 1.14.0 sniffio 1.3.1 sortedcontainers 2.4.0 sse-starlette 2.0.0 ssh-import-id 5.10
Tensor recovery with tensor singular value decomposition has recently become increasingly popular in the computer vision field. One of the most important subproblem is the low-rank tensor completion with the partial and/or corrupted observations. In this paper, we propose a new low-rank tensor compl...
Rank classification of tensors over. We consider tensors of formatover the finite field. We use computer algebra to classify these tensors by their tensor rank, thus determining the maximum te... Stavrou,G Stavros,Low,... - 《Linear & Multilinear Algebra》 被引量: 0发表: 2016年 Rank ...