<divclass="platform-hinted "data-platform-hinted="data-platform-hinted"><divclass="content sourceset-dependent-content"data-active=""data-togglable=":kmath-tensors:dokkaHtmlPartial/commonMain"><divclass="symbol monospace"><spanclass="token keyword">abstract </span><spanclass="token keyword"></span><spanclass="token keyword">fun </span><ahref="../../../kmath-core/space.kscience.kmath.nd/-structure-n-d/index.html">StructureND</a><spanclass="token operator"><</span><spanclass="token keyword"></span><ahref="index.html">T</a><spanclass="token operator">></span><spanclass="token punctuation">.</span><ahref="det.html"><spanclass="token function">det</span></a><spanclass="token punctuation">(</span><spanclass="token punctuation">)</span><spanclass="token operator">: </span><ahref="../../../kmath-core/space.kscience.kmath.nd/-structure-n-d/index.html">StructureND</a><spanclass="token operator"><</span><spanclass="token keyword"></span><ahref="index.html">T</a><spanclass="token operator">></span><spanclass="clearfix"><spanclass="floating-right">(<ahref="https://github.com/SciProgCentre/kmath/tree/master/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt#L24">source</a>)</span></span></div><pclass="paragraph">Computes the determinant of a square matrix input, or of each square matrix in a batched input. For more information: https://pytorch.org/docs/stable/linalg.html#torch.linalg.det</p><spanclass="kdoc-tag"><h4class="">Return</h4><pclass="paragraph">the determinant.</p></span></div></div>