rocking5566 ad41aa0e7a Int8 qunatization gemm xdl (#108) ...

* Add int8 of mk_nk_mn to the ckProfiler

* Add example of int8 gemm

* Fix typo, use ushort instead of half_t for bfloat16

* replace ushortXXX_t to bhalfXXX_t

* rename ushort to bhalf_t

* Add bf16 example

* Add bf16 gemm to ckProfiler

* Fix alignment

* Fix typo

* Add unit test for gemm_xdl int8

* Add gemm_xdl fp32 unit test

* Add gemm_xdl bf16 unit test

* fix build

* fix build issue due to merge conflict

* Fix build

* Fix build error

* [What] gemm + relu inference
[How] gemm + requant + relu + requant + clamp

* clean

Co-authored-by: rocking <chunylai@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>

2022-03-05 00:48:09 -06:00

..

conv_utils.hpp

Split k f16 (#97)

2022-02-25 01:19:37 -06:00

convolution_backward_data_specialization.hpp

NHWC conv 2d: bwd fp32/fp16/bfp16/int8, Device level tuning and host API (#92)

2022-03-04 00:08:26 -06:00

convolution_forward_specialization.hpp

Fusion Conv+Bias+ReLU(+Add) (#62)

2021-12-26 07:43:42 -07:00

convolution_utility.hpp

Conv3d new (#94)

2022-02-22 22:45:28 -06:00

device_base.hpp

Fusion Conv+Bias+ReLU(+Add) (#62)

2021-12-26 07:43:42 -07:00

device_batched_gemm_xdl.hpp

Conv3d new (#94)

2022-02-22 22:45:28 -06:00

device_conv2d_backward_weight_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp

Example for conv2d backward weight fp16 (#106)

2022-03-04 21:18:15 -06:00

device_conv2d_bwd_data_xdl_nhwc_kyxc_nhwk.hpp

NHWC conv 2d: bwd fp32/fp16/bfp16/int8, Device level tuning and host API (#92)

2022-03-04 00:08:26 -06:00

device_conv2d_fwd_xdl_c_shuffle_bias_activation_add_nhwc_kyxc_nhwk.hpp

Conv3d new (#94)

2022-02-22 22:45:28 -06:00

device_conv2d_fwd_xdl_c_shuffle_bias_activation_nhwc_kyxc_nhwk.hpp

Conv3d new (#94)

2022-02-22 22:45:28 -06:00

device_conv2d_fwd_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp

Int8 qunatization gemm xdl (#108)

2022-03-05 00:48:09 -06:00

device_conv2d_fwd_xdl_nhwc_kyxc_nhwk.hpp

Conv3d new (#94)

2022-02-22 22:45:28 -06:00

device_conv3d_fwd_naive_ndhwc_kzyxc_ndhwk.hpp

Conv3d new (#94)

2022-02-22 22:45:28 -06:00

device_conv3d_fwd_xdl_ndhwc_kzyxc_ndhwk.hpp

Unify Convolution FWD XDL 1D/2D implementation. (#93)

2022-02-23 10:44:20 -06:00

device_conv_backward_weight.hpp

Example for conv2d backward weight fp16 (#106)

2022-03-04 21:18:15 -06:00

device_conv_bwd_data.hpp

NHWC conv 2d: bwd fp32/fp16/bfp16/int8, Device level tuning and host API (#92)

2022-03-04 00:08:26 -06:00

device_conv_fwd_bias_activation_add.hpp

Fusion Conv+Bias+ReLU(+Add) (#62)

2021-12-26 07:43:42 -07:00

device_conv_fwd_bias_activation.hpp

Fusion Conv+Bias+ReLU(+Add) (#62)

2021-12-26 07:43:42 -07:00

device_conv_fwd.hpp

Fusion Conv+Bias+ReLU(+Add) (#62)

2021-12-26 07:43:42 -07:00

device_convnd_fwd_xdl_nhwc_kyxc_nhwk.hpp

Unify Convolution FWD XDL 1D/2D implementation. (#93)

2022-02-23 10:44:20 -06:00

device_gemm_bias_activation_add.hpp

GEMM+Bias+ReLU+Add (#76)

2022-02-06 22:32:47 -06:00

device_gemm_bias_activation.hpp

GEMM+Bias+ReLU+Add (#76)

2022-02-06 22:32:47 -06:00

device_gemm_xdl_c_shuffle_bias_2d.hpp

Conv3d new (#94)

2022-02-22 22:45:28 -06:00

device_gemm_xdl_c_shuffle_bias_activation_add.hpp

Conv3d new (#94)

2022-02-22 22:45:28 -06:00

device_gemm_xdl_c_shuffle_bias_activation.hpp

Conv3d new (#94)

2022-02-22 22:45:28 -06:00

device_gemm_xdl_c_shuffle.hpp

Int8 qunatization gemm xdl (#108)

2022-03-05 00:48:09 -06:00

device_gemm_xdl_splitk_c_shuffle.hpp

Split k f16 (#97)

2022-02-25 01:19:37 -06:00

device_gemm_xdl_splitk.hpp

Add small tile size for fp16/fp32 and NN layout (#80)

2022-02-11 15:49:06 -06:00

device_gemm_xdl.hpp

Add gridwise GEMM pipeline (#89)

2022-02-23 17:23:49 -06:00

device_gemm.hpp

Support alpha beta scaling for GEMM (#78)

2022-02-11 00:48:41 -06:00

device_operation_instance.hpp

Fusion Conv+Bias+ReLU(+Add) (#62)

2021-12-26 07:43:42 -07:00

gemm_specialization.hpp

Add small tile size for fp16/fp32 and NN layout (#80)

2022-02-11 15:49:06 -06:00

tensor_layout.hpp

Unify Convolution FWD XDL 1D/2D implementation. (#93)

2022-02-23 10:44:20 -06:00