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composable_kernel/include/ck/tensor_operation/gpu/device
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Shaojie WANG 1c5d06f270 use old ctile to avoid conv2d fwd bias relu add compute error (#271)
2022-06-02 14:06:42 -05:00
..
convolution_backward_data_specialization.hpp
Compile for gfx908 and gfx90a (#130)
2022-03-31 12:33:34 -05:00
convolution_backward_weight_specialization.hpp
example of conv bwd weight 1d/2d/3d fp32/fp16/bf16 xdl (#244)
2022-05-20 17:20:10 -05:00
convolution_forward_specialization.hpp
Compile for gfx908 and gfx90a (#130)
2022-03-31 12:33:34 -05:00
device_5ary_elementwise.hpp
gemm + layernorm (#261)
2022-05-30 16:36:55 -05:00
device_base.hpp
Pass gemm_descs for grouped gemm via __constant__ buff (#232)
2022-05-31 17:00:43 -05:00
device_batched_gemm_reduce_xdl_cshuffle.hpp
gemm + layernorm (#261)
2022-05-30 16:36:55 -05:00
device_batched_gemm_xdl.hpp
Refactor block to C tile map (#235)
2022-05-20 12:40:51 -05:00
device_binary_elementwise.hpp
Hotfix binary elementwise (for broadcast on fastest axis) (#254)
2022-05-25 11:17:27 -05:00
device_cgemm_4gemm_xdl_cshuffle.hpp
Multi-kernel CGEMM (#230)
2022-05-31 10:20:55 -05:00
device_cgemm.hpp
Multi-kernel CGEMM (#230)
2022-05-31 10:20:55 -05:00
device_conv2d_backward_weight_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp
Refactor block to C tile map (#235)
2022-05-20 12:40:51 -05:00
device_conv2d_bwd_data_xdl_nhwc_kyxc_nhwk.hpp
Refactor block to C tile map (#235)
2022-05-20 12:40:51 -05:00
device_conv2d_fwd_xdl_c_shuffle_bias_activation_add_nhwc_kyxc_nhwk.hpp
use old ctile to avoid conv2d fwd bias relu add compute error (#271)
2022-06-02 14:06:42 -05:00
device_conv2d_fwd_xdl_c_shuffle_bias_activation_nhwc_kyxc_nhwk.hpp
Refactor block to C tile map (#235)
2022-05-20 12:40:51 -05:00
device_conv2d_fwd_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp
Fixing conv bug (#258)
2022-05-27 09:29:37 -05:00
device_conv2d_fwd_xdl_nhwc_kyxc_nhwk.hpp
Refactor block to C tile map (#235)
2022-05-20 12:40:51 -05:00
device_conv3d_fwd_naive_ndhwc_kzyxc_ndhwk.hpp
Add host API (#220)
2022-05-12 09:21:01 -05:00
device_conv3d_fwd_xdl_ndhwc_kzyxc_ndhwk.hpp
Refactor block to C tile map (#235)
2022-05-20 12:40:51 -05:00
device_conv_backward_weight.hpp
NHWC Conv2d Bwd weight fp16 ckprofiler and test (#166)
2022-04-04 20:32:00 -05:00
device_conv_bwd_data.hpp
Reorganize files, Part 1 (#119)
2022-03-08 21:46:36 -06:00
device_conv_fwd_bias_activation_add.hpp
Reorganize files, Part 1 (#119)
2022-03-08 21:46:36 -06:00
device_conv_fwd_bias_activation.hpp
Reorganize files, Part 1 (#119)
2022-03-08 21:46:36 -06:00
device_conv_fwd.hpp
Reorganize files, Part 1 (#119)
2022-03-08 21:46:36 -06:00
device_convnd_backward_weight_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp
add GetWorkSpaceSize to base arg (#253)
2022-05-24 11:13:00 -05:00
device_convnd_bwd_data_xdl_ndhwc_kzyxc_ndhwk.hpp
Refactor block to C tile map (#235)
2022-05-20 12:40:51 -05:00
device_convnd_fwd_xdl_nhwc_kyxc_nhwk.hpp
Minor fix for recent PR (#260)
2022-05-30 19:57:49 -05:00
device_gemm_bias_activation_add.hpp
Reorganize files, Part 1 (#119)
2022-03-08 21:46:36 -06:00
device_gemm_bias_activation.hpp
Reorganize files, Part 1 (#119)
2022-03-08 21:46:36 -06:00
device_gemm_bias.hpp
Gemm+Reduce Fusion (#128)
2022-03-23 22:18:42 -05:00
device_gemm_dl.hpp
Multi-kernel CGEMM (#230)
2022-05-31 10:20:55 -05:00
device_gemm_reduce_xdl_cshuffle.hpp
gemm + layernorm (#261)
2022-05-30 16:36:55 -05:00
device_gemm_reduce.hpp
gemm + layernorm (#261)
2022-05-30 16:36:55 -05:00
device_gemm_xdl_c_shuffle_bias_2d.hpp
Refactor block to C tile map (#235)
2022-05-20 12:40:51 -05:00
device_gemm_xdl_c_shuffle_bias_activation_add.hpp
Refactor block to C tile map (#235)
2022-05-20 12:40:51 -05:00
device_gemm_xdl_c_shuffle_bias_activation.hpp
Refactor block to C tile map (#235)
2022-05-20 12:40:51 -05:00
device_gemm_xdl_cshuffle.hpp
Navi21 gemm (#197)
2022-05-24 12:19:27 -05:00
device_gemm_xdl_splitk_c_shuffle.hpp
Refactor block to C tile map (#235)
2022-05-20 12:40:51 -05:00
device_gemm_xdl_splitk.hpp
Navi21 gemm (#197)
2022-05-24 12:19:27 -05:00
device_gemm_xdl.hpp
Minor fix for recent PR (#260)
2022-05-30 19:57:49 -05:00
device_gemm.hpp
batched_gemm: use profiler in ctest (#163)
2022-03-30 21:32:49 -05:00
device_grouped_gemm_xdl.hpp
Pass gemm_descs for grouped gemm via __constant__ buff (#232)
2022-05-31 17:00:43 -05:00
device_pool2d_fwd_nhwc_nhwc.hpp
Overhaul to Reducton and its dependants (#237)
2022-05-24 12:19:12 -05:00
device_pool2d_fwd.hpp
Compile for gfx908 and gfx90a (#130)
2022-03-31 12:33:34 -05:00
device_reduce_common.hpp
Overhaul to Reducton and its dependants (#237)
2022-05-24 12:19:12 -05:00
device_reduce_multiblock.hpp
Unify the naming of the math functions used by the host and kernel (#262)
2022-06-01 21:49:53 -05:00
device_reduce_threadwise.hpp
Overhaul to Reducton and its dependants (#237)
2022-05-24 12:19:12 -05:00
device_reduce.hpp
Overhaul to Reducton and its dependants (#237)
2022-05-24 12:19:12 -05:00
gemm_specialization.hpp
Compile for gfx908 and gfx90a (#130)
2022-03-31 12:33:34 -05:00
reduction_operator_mapping.hpp
Compile for gfx908 and gfx90a (#130)
2022-03-31 12:33:34 -05:00
tensor_layout.hpp
batched_gemm: use profiler in ctest (#163)
2022-03-30 21:32:49 -05:00