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147b7db5614a4b63b3fc2b6af32268aba990a7d0
composable_kernel/include/ck/tensor_operation/gpu/device
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who who who 147b7db561 add multi embeddings support (#542) 
* add multi embeddings support

* fix format

* optimize sqrt

* add reduce operation

* change to elementwise op

* fix name

* rename

* run ci cd

* format example

* format code

* format code
2023-01-18 11:32:12 -06:00
..
impl
add multi embeddings support (#542)
2023-01-18 11:32:12 -06:00
convolution_backward_data_specialization.hpp
Clean up conv example, Instances, profiler and test (#324)
2022-07-29 18:19:25 -05:00
convolution_backward_weight_specialization.hpp
Clean up conv example, Instances, profiler and test (#324)
2022-07-29 18:19:25 -05:00
convolution_forward_specialization.hpp
Clean up conv example, Instances, profiler and test (#324)
2022-07-29 18:19:25 -05:00
device_base.hpp
Remove including of cmath (#551)
2023-01-11 19:52:47 -06:00
device_batched_contraction_multiple_d.hpp
Add batched/grouped_gemm contraction deviceOps (#349)
2022-08-10 12:20:29 -05:00
device_batched_gemm_e_permute.hpp
Clean up conv example, Instances, profiler and test (#324)
2022-07-29 18:19:25 -05:00
device_batched_gemm_gemm.hpp
Attention with output permutation (#370)
2022-08-23 14:52:56 -05:00
device_batched_gemm_multi_d.hpp
Clean up conv example, Instances, profiler and test (#324)
2022-07-29 18:19:25 -05:00
device_batched_gemm_multiple_d_gemm_multiple_d.hpp
batched_gemm + multiple_d + gemm + multiple_d (#394)
2022-09-14 17:54:18 -05:00
device_batched_gemm_softmax_gemm_permute.hpp
Input/output permutation for fused attention (#460)
2022-10-27 14:58:20 -06:00
device_batched_gemm_softmax_gemm.hpp
Input/output permutation for fused attention (#460)
2022-10-27 14:58:20 -06:00
device_batched_gemm.hpp
Gemm+Bilinear (#316)
2022-07-02 09:15:38 -05:00
device_batchnorm_backward.hpp
BatchNorm backward instance/external API/profiler/tests (#519)
2022-11-30 13:32:20 -06:00
device_batchnorm_forward.hpp
BatchNorm forward instance/external api/profiler/tests/client example (#511)
2022-11-24 18:02:27 -06:00
device_batchnorm_infer.hpp
BatchNorm forward instance/external api/profiler/tests/client example (#511)
2022-11-24 18:02:27 -06:00
device_cgemm.hpp
add license in file (#303)
2022-06-24 23:32:43 -05:00
device_contraction_multiple_d.hpp
Clean up conv example, Instances, profiler and test (#324)
2022-07-29 18:19:25 -05:00
device_conv_bwd_data.hpp
Clean up conv example, Instances, profiler and test (#324)
2022-07-29 18:19:25 -05:00
device_conv_fwd_bias_activation_add.hpp
add license in file (#303)
2022-06-24 23:32:43 -05:00
device_conv_fwd_bias_activation.hpp
add license in file (#303)
2022-06-24 23:32:43 -05:00
device_conv_fwd.hpp
Clean up conv example, Instances, profiler and test (#324)
2022-07-29 18:19:25 -05:00
device_elementwise_2d.hpp
Gridwise elementwise 2d (#466)
2022-12-12 09:18:10 -06:00
device_elementwise_base.hpp
Batchnorm-forward and Batchnorm-infer Implemented using generic kernels (#320)
2022-08-15 10:11:02 -05:00
device_elementwise_normalization.hpp
Fused elementwise normalization (#492)
2022-11-03 12:01:58 -06:00
device_gemm_bias_e_permute.hpp
Clean up conv example, Instances, profiler and test (#324)
2022-07-29 18:19:25 -05:00
device_gemm_multiple_d_layernorm.hpp
Gemm layernorm welford (#413)
2023-01-16 20:08:25 -06:00
device_gemm_multiple_d_multiple_r.hpp
Refactor the design of DeviceGemmMultipleDMultipleR_Xdl_CShuffle (#378)
2022-08-24 10:12:54 -05:00
device_gemm_multiple_d.hpp
Refactor the design of DeviceGemmMultipleDMultipleR_Xdl_CShuffle (#378)
2022-08-24 10:12:54 -05:00
device_gemm_reduce.hpp
Improve external interface for GEMM and GEMM+add+add+fastgelu (#311)
2022-06-30 22:11:00 -05:00
device_gemm_splitk.hpp
Improve external interface for GEMM and GEMM+add+add+fastgelu (#311)
2022-06-30 22:11:00 -05:00
device_gemm.hpp
Refactor the design of DeviceGemmMultipleDMultipleR_Xdl_CShuffle (#378)
2022-08-24 10:12:54 -05:00
device_grouped_contraction_multiple_d.hpp
Add batched/grouped_gemm contraction deviceOps (#349)
2022-08-10 12:20:29 -05:00
device_grouped_conv_bwd_data_multiple_d.hpp
Remove interface 'DeviceGroupedConvBwdData' (#500)
2022-11-09 18:32:17 -06:00
device_grouped_conv_bwd_weight.hpp
Add client example of grouped conv2d backward weight (data type: fp16) (#498)
2022-11-09 18:50:03 -06:00
device_grouped_conv_fwd_dl_multiple_d_nhwc_kyxc_nhwk.hpp
Add multiple d gridwise gemm on Navi21 for ResNet50 (#517)
2022-12-02 11:42:31 -06:00
device_grouped_conv_fwd_dl_nhwc_kyxc_nhwk.hpp
Add Conv Forward on Navi21 for ResNet50 (#490)
2022-10-31 10:24:25 -06:00
device_grouped_conv_fwd_multiple_d.hpp
Conv bwd data multiple d (#404)
2022-09-19 11:25:28 -05:00
device_grouped_conv_fwd.hpp
Add client example of grouped conv2d forward (data type: fp16) (#488)
2022-11-09 19:01:58 -06:00
device_grouped_gemm_softmax_gemm_permute_xdl_cshuffle.hpp
Input/output permutation for fused attention (#460)
2022-10-27 14:58:20 -06:00
device_grouped_gemm_softmax_gemm_permute.hpp
Input/output permutation for fused attention (#460)
2022-10-27 14:58:20 -06:00
device_grouped_gemm.hpp
Clean up conv example, Instances, profiler and test (#324)
2022-07-29 18:19:25 -05:00
device_multiple_reduce.hpp
Batchnorm-forward and Batchnorm-infer Implemented using generic kernels (#320)
2022-08-15 10:11:02 -05:00
device_normalization.hpp
Refine layernorm naming and test code (#497)
2022-11-02 16:57:28 -06:00
device_permute.hpp
Remove including of cmath (#551)
2023-01-11 19:52:47 -06:00
device_pool2d_fwd.hpp
add license in file (#303)
2022-06-24 23:32:43 -05:00
device_reduce.hpp
Reduction external API and client examples (#493)
2023-01-16 22:18:06 -06:00
device_softmax.hpp
Softmax unit-test reduction across all and non innermost dims cases. (#406)
2022-11-02 16:46:08 -06:00
device_splitk_contraction_multiple_d_xdl_cshuffle.hpp
Example contraction splitk (#430)
2022-10-11 17:54:34 -05:00
device_splitk_contraction_multiple_d.hpp
Example contraction splitk (#430)
2022-10-11 17:54:34 -05:00
gemm_specialization.hpp
Implement padding and sanity checks for fused GEMM+GEMM (#376)
2022-08-23 10:01:02 -05:00
masking_specialization.hpp
Input/output permutation for fused attention (#460)
2022-10-27 14:58:20 -06:00
matrix_padder.hpp
batched_gemm + multiple_d + gemm + multiple_d (#394)
2022-09-14 17:54:18 -05:00
reduction_operator_mapping.hpp
add license in file (#303)
2022-06-24 23:32:43 -05:00
tensor_layout.hpp
Conv bwd data multiple d (#404)
2022-09-19 11:25:28 -05:00
tensor_specialization.hpp
Add batched/grouped_gemm contraction deviceOps (#349)
2022-08-10 12:20:29 -05:00
welford_helper.hpp
Batchnorm-forward implemented using welford method to calculate variance (#403)
2022-10-27 18:52:54 -06:00