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a1e344b1aef6e08298e4d8167aafdaa3a1f5f741
composable_kernel/include/ck/tensor_operation/gpu/device
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rocking a1e344b1ae Normalization/split k (#615)
2023-05-11 07:15:02 -05:00
..
impl
Normalization/split k (#615)
2023-05-11 07:15:02 -05:00
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
Add GemmAddSoftmaxGemm support for MSFT ORT (instances and client API) (#576)
2023-02-08 14:34:45 -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_normalization.hpp
Use double for all scaling values and float-point constant values at the Device Op API (#557)
2023-01-18 12:02:50 -06:00
device_elementwise.hpp
Batchnorm inference instances, external API, client examples and gtests (#531)
2023-01-25 17:09:04 -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_xdl_waveletmodel_cshuffle.hpp
Syncing up from internal repo to enable MI300. (#690)
2023-04-28 18:22:59 -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
Fix the group of quantization_int8 kernels on MI300. (#695)
2023-05-03 18:27:04 -05:00
device_grouped_conv_fwd_dl_nhwc_kyxc_nhwk.hpp
Update GetTypeString function to generate unique kernel IDs. (#638)
2023-03-15 10:44:42 -05:00
device_grouped_conv_fwd_multiple_d.hpp
Add a denorm test fix (#603)
2023-03-29 15:05:32 -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
Syncing up from internal repo to enable MI300. (#690)
2023-04-28 18:22:59 -05:00
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_splitk.hpp
Grouped Gemm + SplitK + simplified Kernel Args (#669)
2023-04-24 15:43:36 -05:00
device_grouped_gemm.hpp
Grouped Gemm + SplitK + simplified Kernel Args (#669)
2023-04-24 15:43:36 -05:00
device_multiple_reduce.hpp
Use double for all scaling values and float-point constant values at the Device Op API (#557)
2023-01-18 12:02:50 -06:00
device_normalization.hpp
Improve normalization (#580)
2023-02-15 11:59:35 -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
Use double for all scaling values and float-point constant values at the Device Op API (#557)
2023-01-18 12:02:50 -06:00
device_softmax.hpp
Use double for all scaling values and float-point constant values at the Device Op API (#557)
2023-01-18 12:02:50 -06:00
device_splitk_contraction_multiple_d_xdl_cshuffle.hpp
Syncing up from internal repo to enable MI300. (#690)
2023-04-28 18:22:59 -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