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Commits on Jan 14, 2022

• remove skips from determinant tests (pytorch#70034)

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Commits on Dec 23, 2021

• torch.linalg routines return torch.linalg.LinAlgError when a numerical error in the computation is found. (pytorch#68571)

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Commits on Nov 22, 2021

• Fix test issue with householder_product for non-contiguous inputs. (pytorch#68231)

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Commits on Nov 11, 2021

• Nan in linalg eig (pytorch#67544)

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Commits on Oct 25, 2021

• Accept 0-dim channel inputs in convolution layer (pytorch#66256)

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Commits on Sep 8, 2021

• Change MaxUnpool to accept tensors with 0-dim batch sizes. (pytorch#64082)

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Commits on Aug 13, 2021

• Allow TransformerEncoder and TransformerDecoder to accept 0-dim batch sized tensors. (pytorch#62800)

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• Allow Average Pooling modules to accept tensors with 0-dim batch sizes. (pytorch#62025)

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• Allow 0-dim batch sizes for AdaptiveMaxPool and MaxPool. (pytorch#62088)

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Commits on Aug 10, 2021

• Allow LocalResponseNorm to accept 0 dim batch sizes (pytorch#62801)

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Commits on Aug 6, 2021

• Allow FractionalMaxPool 2D and 3D layers to accept 0 dim batch size tensors. (pytorch#62083)

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Commits on Jul 27, 2021

• Allow 0-dim batch sizes in Bilinear NN layer. (pytorch#47106)

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Commits on Jul 7, 2021

• cuSOLVER path for LU factorization in CUDA. (pytorch#56887)

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Commits on Jun 21, 2021

• LU Solve using cublas and cusolver (pytorch#59148)

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Commits on Apr 30, 2021

• Fix min() and max() for empty tensors (pytorch#52565)

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Commits on Apr 12, 2021

• Add CSR (compressed sparse row) layout for sparse tensors (pytorch#50937)

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Commits on Jan 18, 2021

• Multi label margin loss (pytorch#50007)

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Commits on Jan 10, 2021

• Avg pool 0 dim acceptance. (pytorch#50008)

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Commits on Dec 30, 2020

• Accept input tensor with 0-dim batch size for MultiLabelMarginLoss (pytorch#46975)

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Commits on Nov 14, 2020

• Reopen PR for 0 dim batch size for AvgPool2d. (pytorch#47426)

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Commits on Oct 29, 2020

• Fix segfault with torch.orgqr. (pytorch#46700)

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Commits on Oct 22, 2020

• torch.nn.Unfold accepts 0-dim for batch size (pytorch#40689)

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Commits on Oct 6, 2020

• ReplicationPad accepts 0-dim batch size. (pytorch#39137)

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Commits on Sep 17, 2020

• Implement scatter reductions (CUDA), remove divide/subtract (pytorch#41977)

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Commits on Jul 6, 2020

• Update the documentation of the scatter_ method with support for reduction methods. (pytorch#40962)

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Commits on Jun 29, 2020

• Implement parallel scatter reductions for CPU (pytorch#36447)

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Commits on Jun 25, 2020

• Allow ReflectionPad to accept 0-dim batch sizes. (pytorch#39231)

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Commits on Feb 25, 2020

• Fix minor problems in index_put_ docs (pytorch#33689)

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Commits on Feb 4, 2020

• Tests for verifying behaviour of BatchNorm using 0-dim batch sizes. (pytorch#32384)

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Commits on Feb 3, 2020

• Emit the C++ version when compiling pytorch from source. (pytorch#32819)

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Commits on Jan 27, 2020

• 0-dim batch size input for interpolate. (pytorch#32400)

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• verify input sizes for instance norm and group norm (pytorch#29082)

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Commits on Jan 9, 2020

• remove JSON dumping dependency (pytorch#30724)

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Commits on Jan 7, 2020

• Raise ValueError if CUDA device is specified without specifying the : (pytorch#29087)

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Commits on Oct 21, 2019

• Change error message for torch.linspace(). (pytorch#28274)

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