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Automatic differentiation package - tensorplay.autograd Automatic Mixed Precision package - tensorplay.amp Distributed communication package - tensorplay.distributed Multiprocessing package - tensorplay.multiprocessing Quantization tensorplay tensorplay.audio tensorplay.compiler tensorplay.cuda tensorplay.fft tensorplay.futures tensorplay.hub tensorplay.library tensorplay.linalg tensorplay.nn tensorplay.nn.functional tensorplay.nn.init tensorplay.optim tensorplay.random tensorplay.sparse tensorplay.special tensorplay.stax tensorplay.utils.checkpoint tensorplay.utils.data tensorplay.vision Upstream anchor labels

tensorplay.linalg.det tensorplay.linalg.eig tensorplay.linalg.eigh tensorplay.linalg.eigvals tensorplay.linalg.eigvalsh tensorplay.linalg.householder_product tensorplay.linalg.solve_triangular tensorplay.linalg.svd tensorplay.linalg.svdvals tensorplay.linalg.tensorinv tensorplay.linalg.tensorsolve tensorplay.linalg.vander tensorplay.linalg.vecdot tensorplay.linalg.vector_norm

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tensorplay.linalg.tensorinv

tensorplay.linalg.tensorinv(A, ind=2) → Tensor[source]

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tensorplay.linalg.svdvals

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tensorplay.linalg.tensorsolve

Solves A X = B where A and B are (tuples of) matrices interpreted as a single square system over the trailing dimensions.