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review.mlplatform.org / ml / ComputeLibrary / 0b23e0e6402cb18ddf621d36454cadbb73959518 / arm_compute / runtime / CL / functions / CLConvolutionLayer.h
  1. f1aeab9 Break up arm_compute/core/Types.h a bit by Matthew Bentham · 1 year, 1 month ago
  2. 579ca84 Add PostOp support to GEMM and CLGEMM operators and functions Part 2 by SiCongLi · 2 years, 9 months ago
  3. 1988463 Rename [Cl|Cpu]GemmConvolution to [Cl|Gpu]GemmConv2d by Georgios Pinitas · 2 years, 11 months ago
  4. 06d1efd Port CLConvolutionLayer by Sheri Zhang · 3 years ago
  5. 6268742 Update operator list documentation. Part 2. by Teresa Charlin · 3 years, 2 months ago
  6. bef7fa2 COMPMID-3639: (3RDPARTY_UPDATE) Move CL kernels to src by Sang-Hoon Park · 3 years, 9 months ago
  7. d9eaf61 COMPMID-3324: Adjusting capitalization of Arm copyright claim to reflect Arm preferred presentation by Michele Di Giorgio · 4 years ago
  8. 2b84be5 COMPMID-3280: Make all ML primitives for CL use the new interface - Part 2 by Manuel Bottini · 4 years, 3 months ago
  9. 70d33bd COMPMID-2755: update CLConvolutionLayer's doxygen and test for QASYMM8_SIGNED by Sang-Hoon Park · 4 years, 6 months ago
  10. f464337 COMPMID-2826 Comply with DCL51-CPP by Michalis Spyrou · 4 years, 7 months ago
  11. 951b8a4 COMPMID-2309 : CLConvolutionLayer: support QUANT8_SYMM_PER_CHANNEL filters by Vidhya Sudhan Loganathan · 4 years, 8 months ago
  12. 8f309ab COMPMID-2466: Improved ConvLayer documentation. by Pablo Tello · 5 years ago
  13. 8ec0bb6 COMPMID-2117 : Use FFT convolution if output feature map depth is less than input by Vidhya Sudhan Loganathan · 5 years ago
  14. 916d1bc COMPMID-1498 - Enable grouping in CLGEMMConvolutionLayer by Gian Marco Iodice · 6 years ago
  15. 7485d5a COMPMID-970 : Remove QS8 / QS16 support by Vidhya Sudhan Loganathan · 6 years ago
  16. 70ba7d6 COMPMID-1257: Allow retaining weights in CLDeconvolutionLayer by Michele Di Giorgio · 6 years ago
  17. e043767 COMPMID-920: Introduce prepare() stage by Georgios Pinitas · 6 years ago
  18. 2213d4b COMPMID-1096 - Add fast_math flag to CLConvolutionLayer by Gian Marco Iodice · 6 years ago
  19. e52a300 COMPMID-1026 - Add support for 4x4 output tile in CLWinogradConvolutionLayer by Gian Marco Iodice · 6 years ago
  20. 3f217ec COMPMID-908 - Merge Activation layer with Convolution Layer (NEON. CL, GLES) by Isabella Gottardi · 6 years ago
  21. 7da29b6 COMPMID-1017: Implement dilated convolution in NEON, OpenCL, and GC by Alex Gilday · 6 years ago
  22. f07d28d COMPMID-845: Create a ConvolutionLayer for CL by Isabella Gottardi · 6 years ago
  23. 20d7848 COMPMID-816 - Enabled CLConvolutionLayer to use CLGEMM function instead by Gian Marco · 6 years ago
  24. 1d25ed5 COMPMID-759 - CLGEMM optimization for McVail benchmarks by Gian Marco · 7 years ago
  25. 3972528 COMPMID-556 Fix NEON/CL copy-paste documentation mistakes by Giorgio Arena · 7 years ago
  26. 5124be5 COMPMID-661: Convolution quantized (#32) by Chunosov · 7 years ago
  27. baf174e COMPMID-485: Memory Manager by Georgios Pinitas · 7 years ago
  28. 409ee0a COMPMID-417: Add in-place support for batch-normalization. by Georgios Pinitas · 7 years ago
  29. 7d323a6 COMPMID-440, COMPMID-441 - Port CLConvolutionLayer and CLFullyConnectedLayer to support 16 bit fixed point by Gian Marco Iodice · 7 years ago
  30. 368da83 COMPMID-420, COMPMID-414 - Port CLConvolutionLayer and CLFullyConnectedLayer to use 8 bit fixed point by Gian Marco Iodice · 7 years ago
  31. 5cb4c42 COMPMID-414 - Port CLConvolutionLayer to support 8 bit fixed point - CLWeightsReshapeKernel by Gian Marco Iodice · 7 years ago
  32. 6ff3b19 COMPMID-344 Updated doxygen by Anthony Barbier · 7 years ago