Ding, Yi 0cd2e6e782 Fix OOB; add MB96 instances

2025-05-30 07:46:28 +00:00

..

avg_pool2d_bwd

Pool2d max/avg kernel in the BWD version (#1494)

2024-09-12 11:47:52 +02:00

avg_pool3d_bwd

Refactoring cmake files to build data types separately. (#932)

2023-09-20 22:15:56 -07:00

batched_gemm

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

batched_gemm_add_relu_gemm_add

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

batched_gemm_b_scale

Added Int4 mixed batch gemm support (#1839)

2025-02-10 11:17:02 +08:00

batched_gemm_bias_permute

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

batched_gemm_gemm

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

batched_gemm_multi_d

Refactoring cmake files to build data types separately. (#932)

2023-09-20 22:15:56 -07:00

batched_gemm_reduce

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

batched_gemm_softmax_gemm

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

batched_gemm_softmax_gemm_permute

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

batchnorm

Refactor elementwise kernels (#1222)

2024-04-19 13:31:17 +02:00

column_to_image

Add support for groups in Img2Col/Col2Img (#1007)

2023-10-31 10:46:32 +01:00

contraction_bilinear

Extend support for contraction 6D (#1207)

2024-04-09 23:46:21 +02:00

contraction_scale

Extend support for contraction 6D (#1207)

2024-04-09 23:46:21 +02:00

conv1d_bwd_data

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

conv2d_bwd_data

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

conv2d_fwd

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

conv2d_fwd_bias_relu

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

conv2d_fwd_bias_relu_add

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

conv3d_bwd_data

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

elementwise

Refactor elementwise kernels (#1222)

2024-04-19 13:31:17 +02:00

elementwise_normalization

Refactoring cmake files to build data types separately. (#932)

2023-09-20 22:15:56 -07:00

gemm

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

gemm_ab_scale

[Block Scale GEMM] Optimized block scale gemm (#1950)

2025-03-11 10:11:21 -07:00

gemm_add

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

gemm_add_add_fastgelu

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

gemm_add_fastgelu

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

gemm_add_multiply

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

gemm_add_relu

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

gemm_add_relu_add_layernorm

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

gemm_add_silu

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

gemm_b_scale

Added Int4 mixed batch gemm support (#1839)

2025-02-10 11:17:02 +08:00

gemm_bias_add_reduce

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

gemm_bilinear

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

gemm_blockscale_wp

tempsave. Almost all instances passed.

2025-05-14 10:15:59 +00:00

gemm_fastgelu

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

gemm_multi_abd

Split the gemm_multi_abd instances. (#1306)

2024-05-23 09:17:02 -07:00

gemm_multiply_add

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

gemm_multiply_multiply

[Block Scale GEMM] Optimized block scale gemm (#1950)

2025-03-11 10:11:21 -07:00

gemm_multiply_multiply_wp

Add the instances for small sized GEMM in preshuffle and improve CMake Flag (#2212)

2025-05-20 15:05:08 -07:00

gemm_mx

Fix OOB; add MB96 instances

2025-05-30 07:46:28 +00:00

gemm_reduce

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

gemm_splitk

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

gemm_streamk

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

gemm_universal

DeviceGemm_Wmma_CShuffleV3 with BlockGemmPipelineVersion::v3 (#2096)

2025-04-28 10:14:21 +05:00

gemm_universal_batched

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

gemm_universal_reduce

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

gemm_universal_streamk

f8/bf16 GEMM Stream-K (#1879)

2025-03-31 20:30:17 -06:00

grouped_conv1d_bwd_weight

Enable grouped conv bwd wei bf16 NGCHW (#1589)

2024-10-22 16:18:28 +02:00

grouped_conv1d_fwd

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

grouped_conv2d_bwd_data

Integrate universal gemm with conv bwd data and add SplitK (#1315)

2025-04-28 23:54:49 +02:00

grouped_conv2d_bwd_weight

Grouped conv bwd wei add for larger filter and Merge Groupes optimization (#2197)

2025-05-21 22:47:34 +02:00

grouped_conv2d_fwd

Restore oddc instances (#2201)

2025-05-16 18:42:02 -07:00

grouped_conv2d_fwd_bias_relu

Add grouped conv fwd bias relu instances (#2179)

2025-05-09 22:52:34 +02:00

grouped_conv2d_fwd_dynamic_op

Temporary disable part of dynamic op conv instances (#1630)

2024-11-04 13:34:17 -08:00

grouped_conv3d_bwd_data

Integrate universal gemm with conv bwd data and add SplitK (#1315)

2025-04-28 23:54:49 +02:00

grouped_conv3d_bwd_data_bilinear

Integrate universal gemm with conv bwd data and add SplitK (#1315)

2025-04-28 23:54:49 +02:00

grouped_conv3d_bwd_data_scale

Integrate universal gemm with conv bwd data and add SplitK (#1315)

2025-04-28 23:54:49 +02:00

grouped_conv3d_bwd_weight

Grouped conv bwd wei add for larger filter and Merge Groupes optimization (#2197)

2025-05-21 22:47:34 +02:00

grouped_conv3d_bwd_weight_bilinear

Re-enable fp8 types for all architectures. (#1470)

2024-08-16 16:07:52 -06:00

grouped_conv3d_bwd_weight_scale

Re-enable fp8 types for all architectures. (#1470)

2024-08-16 16:07:52 -06:00

grouped_conv3d_fwd

Restore oddc instances (#2201)

2025-05-16 18:42:02 -07:00

grouped_conv3d_fwd_bias_relu

Add grouped conv fwd bias relu instances (#2179)

2025-05-09 22:52:34 +02:00

grouped_conv3d_fwd_bilinear

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

grouped_conv3d_fwd_convinvscale

Add a convinvscale op, related instances and examples (#1307)

2024-06-10 14:48:49 -05:00

grouped_conv3d_fwd_convscale

Adding Instances and Examples for FP8-based Scaled Convolution and AMAX Reduction. (#1473)

2024-08-21 15:22:41 -07:00

grouped_conv3d_fwd_convscale_add

Adding more instances of grouped convolution 3d forward for FP8 with ConvScale+Bias element-wise operation. (#1412)

2024-07-24 15:49:55 -05:00

grouped_conv3d_fwd_convscale_relu

Adding Instances and Examples for FP8-based Scaled Convolution and AMAX Reduction. (#1473)

2024-08-21 15:22:41 -07:00

grouped_conv3d_fwd_dynamic_op

Temporary disable part of dynamic op conv instances (#1630)

2024-11-04 13:34:17 -08:00

grouped_conv3d_fwd_scale

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

grouped_conv3d_fwd_scaleadd_ab

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

grouped_conv3d_fwd_scaleadd_scaleadd_relu

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

grouped_gemm

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

grouped_gemm_bias

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

grouped_gemm_fastgelu

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

grouped_gemm_fixed_nk

Added bf16 instances grouped gemm fixed nk (#1825)

2025-01-20 09:13:09 -08:00

grouped_gemm_fixed_nk_multi_abd

bf16A_Int8B with fastgelu/bias (#1264)

2024-04-26 07:26:30 -05:00

grouped_gemm_tile_loop

Remove CK_USE_AMD_MFMA_GFX950 (#1935)

2025-03-04 10:32:25 -08:00

image_to_column

Add support for groups in Img2Col/Col2Img (#1007)

2023-10-31 10:46:32 +01:00

max_pool_bwd

This commit contains implementation of max pool2d for f8 type (#1506)

2024-09-16 10:15:06 +02:00

mha

Refactor CI performance tests. (#1726)

2024-12-06 13:04:25 -08:00

normalization_bwd_data

layernorm and groupnorm backward data (#1083)

2023-12-19 04:23:11 +08:00

normalization_bwd_gamma_beta

layernorm & groupnorm bwd gamma beta (#1133)

2024-01-25 19:53:15 +08:00

normalization_fwd

layernorm and groupnorm backward data (#1083)

2023-12-19 04:23:11 +08:00

permute_scale

Adding Instances and Examples for FP8-based Scaled Convolution with ReLU Activation and AMAX Reduction. (#1469)

2024-08-20 10:30:56 -05:00

pool2d_fwd

Add pool2d int8 and fp8 instances (#1508)

2024-09-13 10:18:21 -07:00

pool3d_fwd

OCP FP8 support for gfx12. (#1710)

2024-12-03 08:42:55 -08:00

quantization

Split the instances by architecture. (#1223)

2024-04-02 09:42:17 -07:00

reduce

Adding Instances and Examples for FP8-based Scaled Convolution with ReLU Activation and AMAX Reduction. (#1469)

2024-08-20 10:30:56 -05:00

softmax

enable compilation of INSTANCES_ONLY for Windows (#1082)

2023-12-20 14:34:53 -08:00

transpose

Hip tensor permute unit test (#1068)

2023-12-18 21:35:00 -06:00

CMakeLists.txt

disable building device_mha_operations by default (#2225)

2025-05-22 14:03:04 -07:00