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ae5803e284efea01ac3d96424809b15d932d709a
composable_kernel/include/ck/tensor_operation/gpu/device
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Illia Silin ae5803e284 Make sure that GEMM sizes in K dimension are supported. (#527) 
* apply new K-dimension check in gemm_xdl_cshuffle

* add K-dim check to gemm_xdl and batched_gemm_xdl

* fix syntax

* fix syntax

* clean-up the debug output

[ROCm/composable_kernel commit: d58b7f5155]
2022-12-08 11:48:43 -06:00
..
impl
Make sure that GEMM sizes in K dimension are supported. (#527)
2022-12-08 11:48:43 -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
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
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_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_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
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
Update to the Reduction API and instances (#476)
2022-10-25 09:39:11 -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