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AgeCommit message (Expand)Author
2018-11-02COMPMID-582: Add validation to channel_extract kernels.Ioan-Cristian Szabo
2018-11-02COMPMID-846: Create a ConvolutionLayer for NEONIsabella Gottardi
2018-11-02COMPMID-765 - Fix get_convolution_method in order to return the correct method.Isabella Gottardi
2018-11-02COMPMID-936: Convolution failure in NEON Convolution Layer.Georgios Pinitas
2018-11-02COMPMID-853 Use tile 2 for CL depthwise convolution QASYM8Giorgio Arena
2018-11-02COMPMID-784: Fixed SAME paddding in WinogradLayerPablo Tello
2018-11-02Revert "COMPMID-582: Add validation to channel_extract kernels."Anthony Barbier
2018-11-02Revert "COMPMID-915: Create ResNet50 example"Anthony Barbier
2018-11-02COMPMID-939 Fix mismatches and finalize CLSoftmaxLayer optimizationGiorgio Arena
2018-11-02COMPMID-915: Create ResNet50 exampleAlex Gilday
2018-11-02COMPMID-909: Enabling in-place computation for batchnormalization and activat...Michele Di Giorgio
2018-11-02COMPMID-925: Enabling OpenCL tuner in the graph examplesMichele Di Giorgio
2018-11-02COMPMID-845: Create a ConvolutionLayer for CLIsabella Gottardi
2018-11-02COMPMID-934: Return an error in Validate when we don't support asymmetric pad...Anthony Barbier
2018-11-02COMPMID-828 - Add support for pool widths 4, 5 & 6 and for non square data si...Isabella Gottardi
2018-11-02COMPMID-938: OCLgrind: Mismatches in depthwise convolution on BifrostGeorgios Pinitas
2018-11-02COMPMID-784: Productise Winograd.Pablo Tello
2018-11-02COMPMID-582: Add validation to channel_extract kernels.Ioan-Cristian Szabo
2018-11-02COMPMID-882 - Optimizing GEMMLowp on OpenCL reshaping matricesGian Marco
2018-11-02COMPMID-905 Optimize CLSoftmaxLayer for QASYMM8Giorgio Arena
2018-11-02COMPMID-765 Move direct convolution output stage to the right fileGiorgio Arena
2018-11-02COMPMID-856: CL Depthwise Convolution QASYMM8 supportGeorgios Pinitas
2018-11-02COMPMID-906: Use fused activation in NEON Batch normalizationGeorgios Pinitas
2018-11-02COMPMID-765: Fix CPPPermute error when permuting the strides.Georgios Pinitas
2018-11-02COMPMID-765 : NEON Wrapper initial traits and overloadsGeorgios Pinitas
2018-11-02COMPMID-765: Switch 1x1 DeconvolutionLayer to use the ConvolutionLayerGeorgios Pinitas
2018-11-02COMPMID-765: Sanitize permutation vector for Permute.Georgios Pinitas
2018-11-02COMPMID-905 Asymm functions support for all vec sizesGiorgio Arena
2018-11-02COMPMID-903: Implements NEPermute for NHWC conversionsGeorgios Pinitas
2018-11-02COMPMID-765: Fix CLDeconvolutionLayerUpsampleKernel access window.Georgios Pinitas
2018-11-02COMPMID-875: Deconvolution 4x4 not workingGeorgios Pinitas
2018-11-02COMPMID-884: Valgrind: NEDirectConvolutionLayerKernel invalid readGeorgios Pinitas
2018-11-02COMPMID-828 - Add support for pool widths 4, 5 & 6 and for non square data si...Isabella Gottardi
2018-11-02COMPMID-765 - Extended GEMM benchmarkGian Marco
2018-11-02COMPMID-897 Merge batch normalization with bounded reluGiorgio Arena
2018-11-02COMPMID-892: OCLGrind failures on both validation and benchmarkGeorgios Pinitas
2018-11-02COMPMID-907 Optimizing FixedPoint calculation in the output stage of GEMMLowpGiorgio Arena
2018-11-02COMPMID-765: Fixes DepthwiseConvolution weights shapeGeorgios Pinitas
2018-11-02COMPMID-765: Fix inclusion error.Georgios Pinitas
2018-11-02COMPMID-873: Integrate RSH NEON Depthwise Convolution routineGeorgios Pinitas
2018-11-02COMPMID-876: Integrate RSH native GEMM kernel.Georgios Pinitas
2018-11-02COMPMID-578: Implement FAST corners for CL/NEONAbe Mbise
2018-11-02COMPMID-888 Valgrind invalid read in NEGEMVAArch64KernelMichalis Spyrou
2018-11-02COMPMID-901 - Optimizing CLCol2ImKernelGian Marco
2018-11-02COMPMID-879: Investigate CL mismatches in Convolution S16Georgios Pinitas
2018-11-02COMPMID-828 - Add support for non square pool size - Part1Isabella Gottardi
2018-11-02COMPMID-895 - Optimizing CLDepthwiseConvolution3x3KernelGian Marco
2018-11-02COMPMID-894: Segfault: neon_cnn on S5 neoGeorgios Pinitas
2018-11-02COMPMID-765 - Added LWS hint in CLIm2ColGian Marco
2018-11-02COMPMID-784: Added support for PADDING = SAME in Winograd layer.Pablo Tello