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composable_kernel/include/ck/tensor_operation/gpu/device
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guangzlu 537f7af7b7 Revert "Fused elementwise layernorm (#468)" (#491) 
This reverts commit ba4d3575b2.

[ROCm/composable_kernel commit: 6ea9257e9d]
2022-10-25 18:37:12 +08:00
..
impl
Revert "Fused elementwise layernorm (#468)" (#491)
2022-10-25 18:37:12 +08:00
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
Add 'Permute' device op & example (#408)
2022-09-19 21:30:25 -05:00
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
Attention with output permutation (#370)
2022-08-23 14:52:56 -05:00
device_batched_gemm_softmax_gemm.hpp
Attention with output permutation (#370)
2022-08-23 14:52:56 -05:00
device_batched_gemm.hpp
Gemm+Bilinear (#316)
2022-07-02 09:15:38 -05:00
device_batchnorm_forward.hpp
Batchnorm-forward and Batchnorm-infer Implemented using generic kernels (#320)
2022-08-15 10:11:02 -05:00
device_batchnorm_infer.hpp
Batchnorm-forward and Batchnorm-infer Implemented using generic kernels (#320)
2022-08-15 10:11:02 -05:00
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_bwd_weight.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_base.hpp
Batchnorm-forward and Batchnorm-infer Implemented using generic kernels (#320)
2022-08-15 10:11:02 -05:00
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_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
Conv bwd data multiple d (#404)
2022-09-19 11:25:28 -05:00
device_grouped_conv_fwd_multiple_d.hpp
Conv bwd data multiple d (#404)
2022-09-19 11:25:28 -05:00
device_grouped_gemm_softmax_gemm_permute_xdl_cshuffle.hpp
MNKO padding support on bmm+masking+scale+softmax+bmm+premute (#425)
2022-09-20 12:43:53 -05:00
device_grouped_gemm_softmax_gemm_permute.hpp
Grouped batched attention + permute (#412)
2022-09-19 16:09:44 -05:00
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
Fix bug of layernorm ckProfiler and refine code (#448)
2022-10-12 21:06:39 -05:00
device_permute.hpp
Add 'Permute' device op & example (#408)
2022-09-19 21:30:25 -05:00
device_pool2d_fwd.hpp
add license in file (#303)
2022-06-24 23:32:43 -05:00
device_reduce.hpp
add license in file (#303)
2022-06-24 23:32:43 -05:00
device_softmax.hpp
Softmax client example (#396)
2022-09-06 12:22:48 -05:00
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
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