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nd convolution and pooling with cuDNN #3983
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Commits on Jul 25, 2016
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Commits on Jul 26, 2016
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Hans Gaiser committed
Jul 26, 2016 Configuration menu - View commit details
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Commits on Jul 28, 2016
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add cudnn interfaces for n-dimensional computation
Christian Payer committedJul 28, 2016 Configuration menu - View commit details
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add support for nd convolution in cudnn
Christian Payer committedJul 28, 2016 Configuration menu - View commit details
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change interface of pool to support n-dimensions
support n-dimensional pooling for cudnn caffe cpu and gpu pooling implementations do not work in this revision!
Christian Payer committedJul 28, 2016 Configuration menu - View commit details
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change height and width parameters of pooling layer to new vector interfaces
Christian Payer committedJul 28, 2016 Configuration menu - View commit details
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remove some calls of Blob::LegacyShape() to support 3D
Christian Payer committedJul 28, 2016 Configuration menu - View commit details
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fix xavier filler to use new blob shape accessors
Christian Payer committedJul 28, 2016 Configuration menu - View commit details
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fix tests for new pooling parameter interface
Christian Payer committedJul 28, 2016 Configuration menu - View commit details
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add 3D cudnn convolution tests
the 2 tests copied and adapted from 3D caffe convolution tests
Christian Payer committedJul 28, 2016 Configuration menu - View commit details
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test the same things as the 2D pooling tests
Christian Payer committedJul 28, 2016 Configuration menu - View commit details
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fix CUDNN_BAD_PARAM when using InnerProduct layer
Christian Payer committedJul 28, 2016 Configuration menu - View commit details
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Christian Payer committed
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Commits on Aug 4, 2016
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Merge pull request BVLC#4523 from delftrobotics/cmake-atlas
Fix search for Atlas on arch.
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Merge pull request BVLC#4516 from intelfx/BVLC-work
CMake: link with ${HDF5_HL_LIBRARIES}
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Commits on Aug 7, 2016
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Merge pull request BVLC#4559 from fyu/loss_reshape
Fix Label Shape Check in LossLayer::Reshape
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Commits on Aug 10, 2016
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add cudnn interfaces for n-dimensional computation
Christian Payer committedAug 10, 2016 Configuration menu - View commit details
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add support for nd convolution in cudnn
Christian Payer committedAug 10, 2016 Configuration menu - View commit details
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change interface of pool to support n-dimensions
support n-dimensional pooling for cudnn caffe cpu and gpu pooling implementations do not work in this revision!
Christian Payer committedAug 10, 2016 Configuration menu - View commit details
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change height and width parameters of pooling layer to new vector interfaces
Christian Payer committedAug 10, 2016 Configuration menu - View commit details
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remove some calls of Blob::LegacyShape() to support 3D
Christian Payer committedAug 10, 2016 Configuration menu - View commit details
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fix xavier filler to use new blob shape accessors
Christian Payer committedAug 10, 2016 Configuration menu - View commit details
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fix tests for new pooling parameter interface
Christian Payer committedAug 10, 2016 Configuration menu - View commit details
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add 3D cudnn convolution tests
the 2 tests copied and adapted from 3D caffe convolution tests
Christian Payer committedAug 10, 2016 Configuration menu - View commit details
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test the same things as the 2D pooling tests
Christian Payer committedAug 10, 2016 Configuration menu - View commit details
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fix CUDNN_BAD_PARAM when using InnerProduct layer
Christian Payer committedAug 10, 2016 Configuration menu - View commit details
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Christian Payer committed
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Commits on Sep 12, 2016
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remove some calls of Blob::LegacyShape() to support 3D
Christian Payer committedSep 12, 2016 Configuration menu - View commit details
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fix msra filler to use new blob shape accessors
Christian Payer committedSep 12, 2016 Configuration menu - View commit details
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fix positive_unitball filler to use new blob shape accessors
Christian Payer committedSep 12, 2016 Configuration menu - View commit details
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Commits on Nov 2, 2016
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Merge branch 'nd-cudnn' of github.com:christianpayer/caffe into nd-cudnn
Christian Payer committedNov 2, 2016 Configuration menu - View commit details
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