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diff --git a/example/32_batched_gemm_scale_softmax_gemm/run_batched_gemm_scale_softmax_gemm_permute_wmma.inc b/example/32_batched_gemm_scale_softmax_gemm/run_batched_gemm_scale_softmax_gemm_permute_wmma.inc
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diff --git a/example/32_batched_gemm_scale_softmax_gemm/run_cross_attention_wmma.inc b/example/32_batched_gemm_scale_softmax_gemm/run_cross_attention_wmma.inc
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diff --git a/example/32_batched_gemm_scale_softmax_gemm/run_grouped_gemm_scale_softmax_gemm_permute.inc b/example/32_batched_gemm_scale_softmax_gemm/run_grouped_gemm_scale_softmax_gemm_permute.inc
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diff --git a/example/32_batched_gemm_scale_softmax_gemm/run_grouped_query_attention_forward_wmma.inc b/example/32_batched_gemm_scale_softmax_gemm/run_grouped_query_attention_forward_wmma.inc
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diff --git a/example/32_batched_gemm_scale_softmax_gemm/run_multi_query_attention_forward_wmma.inc b/example/32_batched_gemm_scale_softmax_gemm/run_multi_query_attention_forward_wmma.inc
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diff --git a/example/32_batched_gemm_scale_softmax_gemm/run_self_attention_wmma.inc b/example/32_batched_gemm_scale_softmax_gemm/run_self_attention_wmma.inc
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diff --git a/example/32_batched_gemm_scale_softmax_gemm/self_attention_forward_wmma_fp16.cpp b/example/32_batched_gemm_scale_softmax_gemm/self_attention_forward_wmma_fp16.cpp
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diff --git a/example/33_multiple_reduce/CMakeLists.txt b/example/33_multiple_reduce/CMakeLists.txt
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diff --git a/example/33_multiple_reduce/README.md b/example/33_multiple_reduce/README.md
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diff --git a/example/33_multiple_reduce/dual_reduce_common.hpp b/example/33_multiple_reduce/dual_reduce_common.hpp
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diff --git a/example/33_multiple_reduce/dual_reduce_multiblock.cpp b/example/33_multiple_reduce/dual_reduce_multiblock.cpp
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diff --git a/example/33_multiple_reduce/dual_reduce_threadwise.cpp b/example/33_multiple_reduce/dual_reduce_threadwise.cpp
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diff --git a/example/34_batchnorm/CMakeLists.txt b/example/34_batchnorm/CMakeLists.txt
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diff --git a/example/34_batchnorm/README.md b/example/34_batchnorm/README.md
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diff --git a/example/34_batchnorm/batchnorm_backward_nhwc.cpp b/example/34_batchnorm/batchnorm_backward_nhwc.cpp
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diff --git a/example/34_batchnorm/batchnorm_common.hpp b/example/34_batchnorm/batchnorm_common.hpp
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diff --git a/example/34_batchnorm/batchnorm_forward_inferring_nhwc.cpp b/example/34_batchnorm/batchnorm_forward_inferring_nhwc.cpp
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diff --git a/example/34_batchnorm/batchnorm_forward_training_nhwc.cpp b/example/34_batchnorm/batchnorm_forward_training_nhwc.cpp
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diff --git a/example/34_batchnorm/batchnorm_forward_training_nhwc_obsolete.cpp b/example/34_batchnorm/batchnorm_forward_training_nhwc_obsolete.cpp
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diff --git a/example/34_batchnorm/batchnorm_infer_impl.hpp b/example/34_batchnorm/batchnorm_infer_impl.hpp
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diff --git a/example/35_splitK_gemm/CMakeLists.txt b/example/35_splitK_gemm/CMakeLists.txt
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diff --git a/example/35_splitK_gemm/run_splitK_gemm_example.inc b/example/35_splitK_gemm/run_splitK_gemm_example.inc
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index e3690984ab..944377a4c4
--- a/example/35_splitK_gemm/run_splitK_gemm_example.inc
+++ b/example/35_splitK_gemm/run_splitK_gemm_example.inc
@@ -60,10 +60,14 @@ bool run_splitK_gemm(const ProblemSize& problem_size, const ExecutionConfig& con
     case 1:
         a_m_k.GenerateTensorValue(GeneratorTensor_2<ADataType>{-5, 5});
         b_k_n.GenerateTensorValue(GeneratorTensor_2<BDataType>{-5, 5});
+        //a_m_k.GenerateTensorValue_control_entropy(GeneratorTensor_2<ADataType>);
+        //b_k_n.GenerateTensorValue_control_entropy(GeneratorTensor_2<BDataType>{-5, 5});
         break;
     case 2:
         a_m_k.GenerateTensorValue(GeneratorTensor_3<ADataType>{0.0, 1.0});
         b_k_n.GenerateTensorValue(GeneratorTensor_3<BDataType>{-0.5, 0.5});
+        //a_m_k.GenerateTensorValue(GeneratorTensor_3_control_entropy<ADataType>{});
+        //b_k_n.GenerateTensorValue(GeneratorTensor_3_control_entropy<BDataType>{});
         break;
     default:
         a_m_k.GenerateTensorValue(GeneratorTensor_Sequential<0>{});
diff --git a/example/35_splitK_gemm/splitK_gemm_xdl_bf16.cpp b/example/35_splitK_gemm/splitK_gemm_xdl_bf16.cpp
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diff --git a/example/35_splitK_gemm/splitK_gemm_xdl_fp16.cpp b/example/35_splitK_gemm/splitK_gemm_xdl_fp16.cpp
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diff --git a/example/35_splitK_gemm/splitK_gemm_xdl_fp16_fp8.cpp b/example/35_splitK_gemm/splitK_gemm_xdl_fp16_fp8.cpp
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diff --git a/example/35_splitK_gemm/splitK_gemm_xdl_fp32.cpp b/example/35_splitK_gemm/splitK_gemm_xdl_fp32.cpp
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diff --git a/example/35_splitK_gemm/splitK_gemm_xdl_int4.cpp b/example/35_splitK_gemm/splitK_gemm_xdl_int4.cpp
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diff --git a/example/35_splitK_gemm/splitK_gemm_xdl_int8.cpp b/example/35_splitK_gemm/splitK_gemm_xdl_int8.cpp
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diff --git a/example/35_splitK_gemm/splitK_gemm_xdl_lds_direct_load_fp16.cpp b/example/35_splitK_gemm/splitK_gemm_xdl_lds_direct_load_fp16.cpp
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diff --git a/example/36_sparse_embedding/CMakeLists.txt b/example/36_sparse_embedding/CMakeLists.txt
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diff --git a/example/36_sparse_embedding/sparse_embedding3_forward_layernorm.cpp b/example/36_sparse_embedding/sparse_embedding3_forward_layernorm.cpp
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diff --git a/example/37_batched_gemm_add_add_relu_gemm_add/CMakeLists.txt b/example/37_batched_gemm_add_add_relu_gemm_add/CMakeLists.txt
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diff --git a/example/37_batched_gemm_add_add_relu_gemm_add/batched_gemm_add_add_relu_gemm_add_xdl_fp16.cpp b/example/37_batched_gemm_add_add_relu_gemm_add/batched_gemm_add_add_relu_gemm_add_xdl_fp16.cpp
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diff --git a/example/38_grouped_conv_bwd_data_multiple_d/CMakeLists.txt b/example/38_grouped_conv_bwd_data_multiple_d/CMakeLists.txt
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diff --git a/example/38_grouped_conv_bwd_data_multiple_d/common.hpp b/example/38_grouped_conv_bwd_data_multiple_d/common.hpp
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diff --git a/example/38_grouped_conv_bwd_data_multiple_d/grouped_conv_bwd_data_bias_relu_xdl_fp16.cpp b/example/38_grouped_conv_bwd_data_multiple_d/grouped_conv_bwd_data_bias_relu_xdl_fp16.cpp
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diff --git a/example/38_grouped_conv_bwd_data_multiple_d/grouped_conv_bwd_data_wmma_fp16.cpp b/example/38_grouped_conv_bwd_data_multiple_d/grouped_conv_bwd_data_wmma_fp16.cpp
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diff --git a/example/38_grouped_conv_bwd_data_multiple_d/grouped_conv_bwd_data_xdl_fp16.cpp b/example/38_grouped_conv_bwd_data_multiple_d/grouped_conv_bwd_data_xdl_fp16.cpp
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diff --git a/example/38_grouped_conv_bwd_data_multiple_d/run_grouped_conv_bwd_data_bias_relu_example.inc b/example/38_grouped_conv_bwd_data_multiple_d/run_grouped_conv_bwd_data_bias_relu_example.inc
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diff --git a/example/38_grouped_conv_bwd_data_multiple_d/run_grouped_conv_bwd_data_example.inc b/example/38_grouped_conv_bwd_data_multiple_d/run_grouped_conv_bwd_data_example.inc
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diff --git a/example/39_permute/CMakeLists.txt b/example/39_permute/CMakeLists.txt
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diff --git a/example/39_permute/common.hpp b/example/39_permute/common.hpp
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diff --git a/example/39_permute/permute_1xHxW_fp16.cpp b/example/39_permute/permute_1xHxW_fp16.cpp
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diff --git a/example/39_permute/permute_HxWx4_fp16.cpp b/example/39_permute/permute_HxWx4_fp16.cpp
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diff --git a/example/39_permute/permute_NxHxW_fp16.cpp b/example/39_permute/permute_NxHxW_fp16.cpp
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diff --git a/example/39_permute/run_permute_bundle_example.inc b/example/39_permute/run_permute_bundle_example.inc
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diff --git a/example/39_permute/run_permute_element_example.inc b/example/39_permute/run_permute_element_example.inc
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diff --git a/example/40_conv2d_fwd_quantization/CMakeLists.txt b/example/40_conv2d_fwd_quantization/CMakeLists.txt
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diff --git a/example/40_conv2d_fwd_quantization/common.hpp b/example/40_conv2d_fwd_quantization/common.hpp
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diff --git a/example/40_conv2d_fwd_quantization/conv2d_fwd_dl_bias_relu_perchannel_quantization_int8.cpp b/example/40_conv2d_fwd_quantization/conv2d_fwd_dl_bias_relu_perchannel_quantization_int8.cpp
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diff --git a/example/40_conv2d_fwd_quantization/conv2d_fwd_dl_bias_relu_perlayer_quantization_int8.cpp b/example/40_conv2d_fwd_quantization/conv2d_fwd_dl_bias_relu_perlayer_quantization_int8.cpp
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diff --git a/example/40_conv2d_fwd_quantization/conv2d_fwd_dl_bias_tanh_perchannel_quantization_int8.cpp b/example/40_conv2d_fwd_quantization/conv2d_fwd_dl_bias_tanh_perchannel_quantization_int8.cpp
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diff --git a/example/40_conv2d_fwd_quantization/conv2d_fwd_xdl_bias_relu_perchannel_quantization_int8.cpp b/example/40_conv2d_fwd_quantization/conv2d_fwd_xdl_bias_relu_perchannel_quantization_int8.cpp
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diff --git a/example/42_groupnorm_fwd/CMakeLists.txt b/example/42_groupnorm_fwd/CMakeLists.txt
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diff --git a/example/42_groupnorm_fwd/groupnorm_fwd_sigmoid_mul_fp16.cpp b/example/42_groupnorm_fwd/groupnorm_fwd_sigmoid_mul_fp16.cpp
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diff --git a/example/43_splitk_gemm_bias_e_permute/CMakeLists.txt b/example/43_splitk_gemm_bias_e_permute/CMakeLists.txt
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diff --git a/example/43_splitk_gemm_bias_e_permute/splitk_gemm_bias_e_permute_xdl_fp16.cpp b/example/43_splitk_gemm_bias_e_permute/splitk_gemm_bias_e_permute_xdl_fp16.cpp
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diff --git a/example/43_splitk_gemm_bias_e_permute/splitk_gemm_bias_e_permute_xdl_fp32.cpp b/example/43_splitk_gemm_bias_e_permute/splitk_gemm_bias_e_permute_xdl_fp32.cpp
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diff --git a/example/44_elementwise_permute/CMakeLists.txt b/example/44_elementwise_permute/CMakeLists.txt
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diff --git a/example/44_elementwise_permute/elementwise_permute.cpp b/example/44_elementwise_permute/elementwise_permute.cpp
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diff --git a/example/44_elementwise_permute/elementwise_permute_4D_fp16.cpp b/example/44_elementwise_permute/elementwise_permute_4D_fp16.cpp
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diff --git a/example/44_elementwise_permute/elementwise_permute_4D_fp16_2d.cpp b/example/44_elementwise_permute/elementwise_permute_4D_fp16_2d.cpp
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diff --git a/example/44_elementwise_permute/elementwise_permute_4D_fp32_row.cpp b/example/44_elementwise_permute/elementwise_permute_4D_fp32_row.cpp
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diff --git a/example/46_gemm_add_multiply/CMakeLists.txt b/example/46_gemm_add_multiply/CMakeLists.txt
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diff --git a/example/46_gemm_add_multiply/README.md b/example/46_gemm_add_multiply/README.md
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diff --git a/example/46_gemm_add_multiply/common.hpp b/example/46_gemm_add_multiply/common.hpp
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diff --git a/example/46_gemm_add_multiply/gemm_add_multiply_dl_fp16.cpp b/example/46_gemm_add_multiply/gemm_add_multiply_dl_fp16.cpp
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diff --git a/example/50_put_element/put_element_fp16.cpp b/example/50_put_element/put_element_fp16.cpp
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diff --git a/include/ck/tensor_operation/gpu/device/device_grouped_conv_bwd_data_multiple_d.hpp b/include/ck/tensor_operation/gpu/device/device_grouped_conv_bwd_data_multiple_d.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/device_grouped_conv_fwd_multiple_abd.hpp b/include/ck/tensor_operation/gpu/device/device_grouped_conv_fwd_multiple_abd.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/device_grouped_conv_fwd_multiple_d.hpp b/include/ck/tensor_operation/gpu/device/device_grouped_conv_fwd_multiple_d.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/device_grouped_gemm_softmax_gemm_permute.hpp b/include/ck/tensor_operation/gpu/device/device_grouped_gemm_softmax_gemm_permute.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_avgpool3d_bwd_ndhwc_ndhwc.hpp b/include/ck/tensor_operation/gpu/device/impl/device_avgpool3d_bwd_ndhwc_ndhwc.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_contraction_multiple_d_wmma_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_contraction_multiple_d_wmma_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_contraction_multiple_d_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_contraction_multiple_d_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_e_permute_xdl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_e_permute_xdl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_gemm_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_gemm_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_multi_d_xdl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_multi_d_xdl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_multiple_d_dl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_multiple_d_dl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_multiple_d_gemm_multiple_d_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_multiple_d_gemm_multiple_d_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_reduce_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_reduce_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_softmax_gemm_permute_wmma_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_softmax_gemm_permute_wmma_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_softmax_gemm_permute_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_softmax_gemm_permute_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_softmax_gemm_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_softmax_gemm_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_xdl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batched_gemm_xdl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batchnorm_backward_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batchnorm_backward_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_batchnorm_forward_impl_obsolete.hpp b/include/ck/tensor_operation/gpu/device/impl/device_batchnorm_forward_impl_obsolete.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_cgemm_4gemm_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_cgemm_4gemm_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_column_to_image_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_column_to_image_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_contraction_multiple_abd_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_contraction_multiple_abd_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_contraction_multiple_d_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_contraction_multiple_d_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_contraction_utils.hpp b/include/ck/tensor_operation/gpu/device/impl/device_contraction_utils.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_conv2d_backward_weight_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_conv2d_backward_weight_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_conv2d_bwd_data_xdl_nhwc_kyxc_nhwk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_conv2d_bwd_data_xdl_nhwc_kyxc_nhwk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_conv2d_fwd_xdl_c_shuffle_bias_activation_add_nhwc_kyxc_nhwk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_conv2d_fwd_xdl_c_shuffle_bias_activation_add_nhwc_kyxc_nhwk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_conv2d_fwd_xdl_c_shuffle_bias_activation_nhwc_kyxc_nhwk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_conv2d_fwd_xdl_c_shuffle_bias_activation_nhwc_kyxc_nhwk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_conv2d_fwd_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_conv2d_fwd_xdl_c_shuffle_nhwc_kyxc_nhwk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_conv2d_fwd_xdl_nhwc_kyxc_nhwk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_conv2d_fwd_xdl_nhwc_kyxc_nhwk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_conv3d_fwd_naive_ndhwc_kzyxc_ndhwk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_conv3d_fwd_naive_ndhwc_kzyxc_ndhwk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_conv3d_fwd_xdl_ndhwc_kzyxc_ndhwk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_conv3d_fwd_xdl_ndhwc_kzyxc_ndhwk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_convnd_bwd_data_nwc_kxc_nwk_dl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_convnd_bwd_data_nwc_kxc_nwk_dl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_convnd_bwd_data_nwc_kxc_nwk_xdl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_convnd_bwd_data_nwc_kxc_nwk_xdl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_elementwise_3d_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_elementwise_3d_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_fpAintB_gemm_wmma.hpp b/include/ck/tensor_operation/gpu/device/impl/device_fpAintB_gemm_wmma.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_bias_add_reduce_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_bias_add_reduce_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_dl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_dl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_abd_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_abd_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_dl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_dl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_layernorm_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_layernorm_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_multiple_r_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_multiple_r_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_xdl_cshuffle_lds_direct_load.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_xdl_cshuffle_lds_direct_load.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_reduce_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_reduce_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_cshuffle_v2.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_cshuffle_v2.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_layernorm_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_layernorm_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_skip_b_lds.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_skip_b_lds.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_splitk_c_shuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_splitk_c_shuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_splitk_c_shuffle_lds_direct_load.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_splitk_c_shuffle_lds_direct_load.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_streamk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_streamk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_waveletmodel_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_gemm_xdl_waveletmodel_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_contraction_multiple_d_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_contraction_multiple_d_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_data_multiple_d_wmma_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_data_multiple_d_wmma_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_data_multiple_d_xdl_cshuffle_v1.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_data_multiple_d_xdl_cshuffle_v1.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_dl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_dl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_wmma_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_wmma_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_dl_multiple_d_nhwc_kyxc_nhwk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_dl_multiple_d_nhwc_kyxc_nhwk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_dl_nhwc_kyxc_nhwk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_dl_nhwc_kyxc_nhwk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_abd_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_abd_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_d_multiple_r.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_d_multiple_r.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_d_multiple_r_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_d_multiple_r_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_d_wmma_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_d_wmma_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_d_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_fwd_multiple_d_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_utils.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_utils.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_dl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_multiple_d_dl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_softmax_gemm_permute_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_softmax_gemm_permute_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl_fixed_nk.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl_fixed_nk.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl_splitk_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_gemm_xdl_splitk_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_grouped_query_attention_forward_wmma.hpp b/include/ck/tensor_operation/gpu/device/impl/device_grouped_query_attention_forward_wmma.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_image_to_column_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_image_to_column_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_max_pool_bwd_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_max_pool_bwd_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_multi_query_attention_forward_wmma.hpp b/include/ck/tensor_operation/gpu/device/impl/device_multi_query_attention_forward_wmma.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_multiple_reduce_multiblock.hpp b/include/ck/tensor_operation/gpu/device/impl/device_multiple_reduce_multiblock.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_multiple_reduce_threadwise.hpp b/include/ck/tensor_operation/gpu/device/impl/device_multiple_reduce_threadwise.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_normalization_bwd_data_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_normalization_bwd_data_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_normalization_bwd_gamma_beta_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_normalization_bwd_gamma_beta_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_normalization_fwd_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_normalization_fwd_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_normalization_fwd_splitk_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_normalization_fwd_splitk_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_permute_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_permute_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_pool2d_fwd_nhwc_nhwc.hpp b/include/ck/tensor_operation/gpu/device/impl/device_pool2d_fwd_nhwc_nhwc.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_pool3d_fwd_ndhwc_ndhwc.hpp b/include/ck/tensor_operation/gpu/device/impl/device_pool3d_fwd_ndhwc_ndhwc.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_put_element_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_put_element_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_reduce_common.hpp b/include/ck/tensor_operation/gpu/device/impl/device_reduce_common.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_reduce_multiblock.hpp b/include/ck/tensor_operation/gpu/device/impl/device_reduce_multiblock.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_reduce_threadwise.hpp b/include/ck/tensor_operation/gpu/device/impl/device_reduce_threadwise.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_softmax_impl.hpp b/include/ck/tensor_operation/gpu/device/impl/device_softmax_impl.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_sparse_embeddings_forward_layernorm.hpp b/include/ck/tensor_operation/gpu/device/impl/device_sparse_embeddings_forward_layernorm.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/impl/device_splitk_contraction_multiple_d_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/device/impl/device_splitk_contraction_multiple_d_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/masking_specialization.hpp b/include/ck/tensor_operation/gpu/device/masking_specialization.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/matrix_padder.hpp b/include/ck/tensor_operation/gpu/device/matrix_padder.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/reduction_operator_mapping.hpp b/include/ck/tensor_operation/gpu/device/reduction_operator_mapping.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/tensor_layout.hpp b/include/ck/tensor_operation/gpu/device/tensor_layout.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/tensor_specialization.hpp b/include/ck/tensor_operation/gpu/device/tensor_specialization.hpp
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diff --git a/include/ck/tensor_operation/gpu/device/welford_helper.hpp b/include/ck/tensor_operation/gpu/device/welford_helper.hpp
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diff --git a/include/ck/tensor_operation/gpu/element/binary_element_wise_operation.hpp b/include/ck/tensor_operation/gpu/element/binary_element_wise_operation.hpp
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diff --git a/include/ck/tensor_operation/gpu/element/element_wise_operation.hpp b/include/ck/tensor_operation/gpu/element/element_wise_operation.hpp
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diff --git a/include/ck/tensor_operation/gpu/element/quantization_operation.hpp b/include/ck/tensor_operation/gpu/element/quantization_operation.hpp
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diff --git a/include/ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp b/include/ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/batchnorm_multiblock/gridwise_multiblock_batchnorm_forward.hpp b/include/ck/tensor_operation/gpu/grid/batchnorm_multiblock/gridwise_multiblock_batchnorm_forward.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/batchnorm_multiblock/gridwise_multiblock_reduce_second_half_batchnorm_backward_final.hpp b/include/ck/tensor_operation/gpu/grid/batchnorm_multiblock/gridwise_multiblock_reduce_second_half_batchnorm_backward_final.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/batchnorm_multiblock/gridwise_multiblock_welford_first_half.hpp b/include/ck/tensor_operation/gpu/grid/batchnorm_multiblock/gridwise_multiblock_welford_first_half.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/batchnorm_multiblock/gridwise_multiblock_welford_second_half_batchnorm_forward_final_obsolete.hpp b/include/ck/tensor_operation/gpu/grid/batchnorm_multiblock/gridwise_multiblock_welford_second_half_batchnorm_forward_final_obsolete.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/batchnorm_multiblock/gridwise_multiblock_welford_second_half_multiblock_reduce_first_half.hpp b/include/ck/tensor_operation/gpu/grid/batchnorm_multiblock/gridwise_multiblock_welford_second_half_multiblock_reduce_first_half.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/block_to_ctile_map.hpp b/include/ck/tensor_operation/gpu/grid/block_to_ctile_map.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gemm_layernorm/gridwise_gemm_multiple_d_welford_first_half_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/grid/gemm_layernorm/gridwise_gemm_multiple_d_welford_first_half_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gemm_layernorm/gridwise_welford_second_half_layernorm2d.hpp b/include/ck/tensor_operation/gpu/grid/gemm_layernorm/gridwise_welford_second_half_layernorm2d.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_2d_multiple_reduction_multiblock.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_2d_multiple_reduction_multiblock.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_2d_multiple_reduction_threadwise.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_2d_multiple_reduction_threadwise.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_2d_reduction_multiblock.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_2d_reduction_multiblock.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_2d_reduction_threadwise.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_2d_reduction_threadwise.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_gemm_xdl_cshuffle_v1.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_gemm_xdl_cshuffle_v1.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_multiple_d_gemm_multiple_d_xdl_cshuffle_v1.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_multiple_d_gemm_multiple_d_xdl_cshuffle_v1.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_multiple_d_softmax_gemm_xdl_cshuffle_v1.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_multiple_d_softmax_gemm_xdl_cshuffle_v1.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_softmax_gemm_wmma_cshuffle.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_softmax_gemm_wmma_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_softmax_gemm_xdl_cshuffle_v1.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_batched_gemm_softmax_gemm_xdl_cshuffle_v1.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_batchnorm_backward_blockwise_welford.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_batchnorm_backward_blockwise_welford.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_batchnorm_forward_blockwise_welford.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_batchnorm_forward_blockwise_welford.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_elementwise_1d.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_elementwise_1d.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_elementwise_1d_scale.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_elementwise_1d_scale.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_elementwise_2d.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_elementwise_2d.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_elementwise_3d.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_elementwise_3d.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_elementwise_layernorm_welford_variance.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_elementwise_layernorm_welford_variance.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_fpAintB_gemm_wmma.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_fpAintB_gemm_wmma.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_bias_add_reduce_xdl_cshuffle_v1.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_bias_add_reduce_xdl_cshuffle_v1.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_dl_multiple_d.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_dl_multiple_d.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_dl_v1r3.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_dl_v1r3.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_dpp.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_dpp.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_abd_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_abd_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_multiple_r_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_multiple_r_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_wmma_cshuffle.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_wmma_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_xdl_cshuffle_lds_direct_load.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_xdl_cshuffle_lds_direct_load.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_xdl_splitk_cshuffle.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_xdl_splitk_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_selector.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_selector.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_v1.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_v1.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_v2.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_v2.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_v3.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_v3.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_v4_direct_load.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_v4_direct_load.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_reduce_xdl_cshuffle_v1.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_reduce_xdl_cshuffle_v1.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_split_k_multiple_d_xdl_cshuffle.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_split_k_multiple_d_xdl_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_split_k_multiple_d_xdl_cshuffle_v2.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_split_k_multiple_d_xdl_cshuffle_v2.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_waveletmodel.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_waveletmodel.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_wmma.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_wmma.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v1.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v1.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v2.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_v2.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_layernorm_cshuffle_v1.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_layernorm_cshuffle_v1.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_waveletmodel_cshuffle.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_waveletmodel_cshuffle.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_bwd_weight.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_bwd_weight.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_skip_b_lds_v1.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_skip_b_lds_v1.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_splitk_lds_direct_load.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_splitk_lds_direct_load.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_streamk.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_streamk.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r3.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r3.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r4.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r4.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r4r2.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r4r2.hpp
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new mode 100755
index b52f5c51b1..fb89b45f1e
--- a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r4r2.hpp
+++ b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v2r4r2.hpp
@@ -27,13 +27,13 @@ template <typename GridwiseGemm,
           typename CElementwiseOperation>
 __global__ void
 #if CK_USE_LAUNCH_BOUNDS
-    __launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
+__launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
 #endif
-        kernel_gemm_xdlops_v2r4r2_simplified(typename GridwiseGemm::Argument karg,
-                                             const Block2CTileMap& b2c_map,
-                                             const AElementwiseOperation a_element_op,
-                                             const BElementwiseOperation b_element_op,
-                                             const CElementwiseOperation c_element_op)
+    kernel_gemm_xdlops_v2r4r2_simplified(typename GridwiseGemm::Argument karg,
+                                         const Block2CTileMap& b2c_map,
+                                         const AElementwiseOperation a_element_op,
+                                         const BElementwiseOperation b_element_op,
+                                         const CElementwiseOperation c_element_op)
 {
 #if(!defined(__HIP_DEVICE_COMPILE__) || defined(__gfx908__) || defined(__gfx90a__) || \
     defined(__gfx94__))
@@ -669,433 +669,450 @@ struct GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4r2
                                const BElementwiseOperation b_element_op = BElementwiseOperation{},
                                const CElementwiseOperation c_element_op = CElementwiseOperation{})
     {
-        const FloatA* p_a_grid           = karg.p_a_grid;
-        const FloatB* p_b_grid           = karg.p_b_grid;
-        FloatC* p_c_grid                 = karg.p_c_grid;
-        const auto a_b_k0_m_k1_grid_desc = MakeAGridDescriptor_KBatch_K0_M_K1(
-            karg.M, karg.MPadded, karg.K, karg.StrideA, karg.k_batch, karg.K0Padded, karg.KPadded);
-        const auto b_b_k0_n_k1_grid_desc = MakeBGridDescriptor_KBatch_K0_N_K1(
-            karg.K, karg.NPadded, karg.N, karg.StrideB, karg.k_batch, karg.K0Padded, karg.KPadded);
-        const auto c_grid_desc_m_n = MakeCGridDescriptor_M_N(karg.M, karg.N, karg.StrideC);
-
-        const auto c_grid_desc_mblock_mperblock_nblock_nperblock =
-            MakeCGridDesc_MBlock_MPerBlock_NBlock_NPerBlock(c_grid_desc_m_n);
-
-        const auto a_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
-            p_a_grid, a_b_k0_m_k1_grid_desc.GetElementSpaceSize());
-        const auto b_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
-            p_b_grid, b_b_k0_n_k1_grid_desc.GetElementSpaceSize());
-        auto c_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
-            p_c_grid, c_grid_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize());
-
-        // divide block work by [KBatch, M, N]
-        const auto block_work_idx =
-            block_2_ctile_map.CalculateBottomIndex(make_multi_index(get_block_1d_id()));
-
-        if(!block_2_ctile_map.ValidCTileIndex(
-               block_work_idx,
-               make_tuple(c_grid_desc_mblock_mperblock_nblock_nperblock.GetLength(I0),
-                          c_grid_desc_mblock_mperblock_nblock_nperblock.GetLength(I2))))
+        for(auto i = 0; i < 1500; i++)
         {
-            return;
-        }
+            const FloatA* p_a_grid           = karg.p_a_grid;
+            const FloatB* p_b_grid           = karg.p_b_grid;
+            FloatC* p_c_grid                 = karg.p_c_grid;
+            const auto a_b_k0_m_k1_grid_desc = MakeAGridDescriptor_KBatch_K0_M_K1(karg.M,
+                                                                                  karg.MPadded,
+                                                                                  karg.K,
+                                                                                  karg.StrideA,
+                                                                                  karg.k_batch,
+                                                                                  karg.K0Padded,
+                                                                                  karg.KPadded);
+            const auto b_b_k0_n_k1_grid_desc = MakeBGridDescriptor_KBatch_K0_N_K1(karg.K,
+                                                                                  karg.NPadded,
+                                                                                  karg.N,
+                                                                                  karg.StrideB,
+                                                                                  karg.k_batch,
+                                                                                  karg.K0Padded,
+                                                                                  karg.KPadded);
+            const auto c_grid_desc_m_n = MakeCGridDescriptor_M_N(karg.M, karg.N, karg.StrideC);
 
-        const index_t block_m_id = __builtin_amdgcn_readfirstlane(block_work_idx[I1]);
-        const index_t block_n_id = __builtin_amdgcn_readfirstlane(block_work_idx[I2]);
-        const index_t k_batch_id = __builtin_amdgcn_readfirstlane(block_work_idx[I0]);
+            const auto c_grid_desc_mblock_mperblock_nblock_nperblock =
+                MakeCGridDesc_MBlock_MPerBlock_NBlock_NPerBlock(c_grid_desc_m_n);
 
-        // HACK: this force m/n_block_data_idx_on_grid into SGPR
-        const index_t m_block_data_idx_on_grid =
-            __builtin_amdgcn_readfirstlane(block_m_id * MPerBlock);
+            const auto a_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
+                p_a_grid, a_b_k0_m_k1_grid_desc.GetElementSpaceSize());
+            const auto b_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
+                p_b_grid, b_b_k0_n_k1_grid_desc.GetElementSpaceSize());
+            auto c_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
+                p_c_grid, c_grid_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize());
 
-        const index_t n_block_data_idx_on_grid =
-            __builtin_amdgcn_readfirstlane(block_n_id * NPerBlock);
+            // divide block work by [KBatch, M, N]
+            const auto block_work_idx =
+                block_2_ctile_map.CalculateBottomIndex(make_multi_index(get_block_1d_id()));
 
-        // lds max alignment
-        constexpr auto max_lds_align = K1;
-
-        // A matrix in LDS memory, dst of blockwise copy
-        constexpr auto a_k0_m_k1_block_desc = [&]() {
-            if constexpr(ABlockLdsExtraM)
+            if(!block_2_ctile_map.ValidCTileIndex(
+                   block_work_idx,
+                   make_tuple(c_grid_desc_mblock_mperblock_nblock_nperblock.GetLength(I0),
+                              c_grid_desc_mblock_mperblock_nblock_nperblock.GetLength(I2))))
             {
-                return make_naive_tensor_descriptor(
-                    make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
-                    make_tuple(Number<MPerBlock + 1>{} * K1, K1, I1));
+                return;
             }
-            else
+
+            const index_t block_m_id = __builtin_amdgcn_readfirstlane(block_work_idx[I1]);
+            const index_t block_n_id = __builtin_amdgcn_readfirstlane(block_work_idx[I2]);
+            const index_t k_batch_id = __builtin_amdgcn_readfirstlane(block_work_idx[I0]);
+
+            // HACK: this force m/n_block_data_idx_on_grid into SGPR
+            const index_t m_block_data_idx_on_grid =
+                __builtin_amdgcn_readfirstlane(block_m_id * MPerBlock);
+
+            const index_t n_block_data_idx_on_grid =
+                __builtin_amdgcn_readfirstlane(block_n_id * NPerBlock);
+
+            // lds max alignment
+            constexpr auto max_lds_align = K1;
+
+            // A matrix in LDS memory, dst of blockwise copy
+            constexpr auto a_k0_m_k1_block_desc = [&]() {
+                if constexpr(ABlockLdsExtraM)
+                {
+                    return make_naive_tensor_descriptor(
+                        make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
+                        make_tuple(Number<MPerBlock + 1>{} * K1, K1, I1));
+                }
+                else
+                {
+                    return make_naive_tensor_descriptor_aligned(
+                        make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1), max_lds_align);
+                }
+            }();
+
+            constexpr auto a_b_k0_m_k1_block_desc = [&]() {
+                if constexpr(ABlockLdsExtraM)
+                {
+                    return make_naive_tensor_descriptor(
+                        make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
+                        make_tuple(Number<K0PerBlock>{} * Number<MPerBlock + 1>{} * K1,
+                                   Number<MPerBlock + 1>{} * K1,
+                                   K1,
+                                   I1));
+                }
+                else
+                {
+                    return make_naive_tensor_descriptor_aligned(
+                        make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
+                        max_lds_align);
+                }
+            }();
+            // B matrix in LDS memory, dst of blockwise copy
+            constexpr auto b_k0_n_k1_block_desc = [&]() {
+                if constexpr(BBlockLdsExtraN)
+                {
+                    return make_naive_tensor_descriptor(
+                        make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
+                        make_tuple(Number<NPerBlock + 1>{} * K1, K1, I1));
+                }
+                else
+                {
+                    return make_naive_tensor_descriptor_aligned(
+                        make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1), max_lds_align);
+                }
+            }();
+
+            constexpr auto b_b_k0_n_k1_block_desc = [&]() {
+                if constexpr(BBlockLdsExtraN)
+                {
+                    return make_naive_tensor_descriptor(
+                        make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
+                        make_tuple(Number<K0PerBlock>{} * Number<NPerBlock + 1>{} * K1,
+                                   Number<NPerBlock + 1>{} * K1,
+                                   K1,
+                                   I1));
+                }
+                else
+                {
+                    return make_naive_tensor_descriptor_aligned(
+                        make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
+                        max_lds_align);
+                }
+            }();
+            // A matrix blockwise copy
+            auto a_blockwise_copy =
+                ThreadGroupTensorSliceTransfer_v4r1<ThisThreadBlock,
+                                                    AElementwiseOperation,
+                                                    ck::tensor_operation::element_wise::PassThrough,
+                                                    InMemoryDataOperationEnum::Set,
+                                                    Sequence<1, K0PerBlock, MPerBlock, K1>,
+                                                    ABlockTransferThreadClusterLengths_K0_M_K1,
+                                                    ABlockTransferThreadClusterArrangeOrder,
+                                                    FloatA,
+                                                    LDSTypeA,
+                                                    decltype(a_b_k0_m_k1_grid_desc),
+                                                    decltype(a_b_k0_m_k1_block_desc),
+                                                    ABlockTransferSrcAccessOrder,
+                                                    Sequence<0, 2, 1, 3>,
+                                                    ABlockTransferSrcVectorDim,
+                                                    3,
+                                                    ABlockTransferSrcScalarPerVector,
+                                                    ABlockTransferDstScalarPerVector_K1,
+                                                    1,
+                                                    1,
+                                                    AThreadTransferSrcResetCoordinateAfterRun,
+                                                    true>(
+                    a_b_k0_m_k1_grid_desc,
+                    make_multi_index(k_batch_id, 0, m_block_data_idx_on_grid, 0),
+                    a_element_op,
+                    a_b_k0_m_k1_block_desc,
+                    make_multi_index(0, 0, 0, 0),
+                    ck::tensor_operation::element_wise::PassThrough{});
+
+            // B matrix blockwise copy
+            auto b_blockwise_copy =
+                ThreadGroupTensorSliceTransfer_v4r1<ThisThreadBlock,
+                                                    BElementwiseOperation,
+                                                    ck::tensor_operation::element_wise::PassThrough,
+                                                    InMemoryDataOperationEnum::Set,
+                                                    Sequence<1, K0PerBlock, NPerBlock, K1>,
+                                                    BBlockTransferThreadClusterLengths_K0_N_K1,
+                                                    BBlockTransferThreadClusterArrangeOrder,
+                                                    FloatB,
+                                                    LDSTypeB,
+                                                    decltype(b_b_k0_n_k1_grid_desc),
+                                                    decltype(b_b_k0_n_k1_block_desc),
+                                                    BBlockTransferSrcAccessOrder,
+                                                    Sequence<0, 2, 1, 3>,
+                                                    BBlockTransferSrcVectorDim,
+                                                    3,
+                                                    BBlockTransferSrcScalarPerVector,
+                                                    BBlockTransferDstScalarPerVector_K1,
+                                                    1,
+                                                    1,
+                                                    BThreadTransferSrcResetCoordinateAfterRun,
+                                                    true>(
+                    b_b_k0_n_k1_grid_desc,
+                    make_multi_index(k_batch_id, 0, n_block_data_idx_on_grid, 0),
+                    b_element_op,
+                    b_b_k0_n_k1_block_desc,
+                    make_multi_index(0, 0, 0, 0),
+                    ck::tensor_operation::element_wise::PassThrough{});
+
+            // GEMM definition
+            //   c_mtx += transpose(a_mtx) * b_mtx
+            //     a_mtx[K0PerBlock, MPerBlock] is in LDS
+            //     b_mtx[K0PerBlock, NPerBlock] is in LDS
+            //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
+            //       register
+            // sanity check
+
+            auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
+                BlockSize,
+                LDSTypeA,
+                LDSTypeB,
+                FloatAcc,
+                decltype(a_k0_m_k1_block_desc),
+                decltype(b_k0_n_k1_block_desc),
+                MPerXDL,
+                NPerXDL,
+                MRepeat,
+                NRepeat,
+                K1,
+                LoopSched,
+                ComputeTypeA,
+                ComputeTypeB>();
+
+            auto c_thread_buf = blockwise_gemm.GetCThreadBuffer();
+
+            // LDS allocation for A and B: be careful of alignment
+            constexpr auto a_block_space_size = math::integer_least_multiple(
+                a_k0_m_k1_block_desc.GetElementSpaceSize(), max_lds_align);
+
+            auto p_a_block = reinterpret_cast<LDSTypeA*>(p_shared_block);
+            auto p_b_block = reinterpret_cast<LDSTypeB*>(p_a_block + a_block_space_size);
+
+            constexpr auto a_block_slice_copy_step = make_multi_index(0, K0PerBlock, 0, 0);
+            constexpr auto b_block_slice_copy_step = make_multi_index(0, K0PerBlock, 0, 0);
+
+            auto a_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
+                p_a_block, a_k0_m_k1_block_desc.GetElementSpaceSize());
+            auto b_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
+                p_b_block, b_k0_n_k1_block_desc.GetElementSpaceSize());
+
+            // gridwise GEMM pipeline
+            const index_t num_k_block_main_loop = __builtin_amdgcn_readfirstlane(
+                (a_b_k0_m_k1_grid_desc.GetLength(I1) * a_b_k0_m_k1_grid_desc.GetLength(I3)) /
+                (K0PerBlock * K1));
+
+            const auto gridwise_gemm_pipeline = GridwiseGemmPipe{};
+
+            gridwise_gemm_pipeline.template Run<HasMainKBlockLoop>(a_b_k0_m_k1_grid_desc,
+                                                                   a_b_k0_m_k1_block_desc,
+                                                                   a_blockwise_copy,
+                                                                   a_grid_buf,
+                                                                   a_block_buf,
+                                                                   a_block_slice_copy_step,
+                                                                   b_b_k0_n_k1_grid_desc,
+                                                                   b_b_k0_n_k1_block_desc,
+                                                                   b_blockwise_copy,
+                                                                   b_grid_buf,
+                                                                   b_block_buf,
+                                                                   b_block_slice_copy_step,
+                                                                   blockwise_gemm,
+                                                                   c_thread_buf,
+                                                                   num_k_block_main_loop);
+
+            // output: register to global memory
             {
-                return make_naive_tensor_descriptor_aligned(
-                    make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1), max_lds_align);
-            }
-        }();
+                constexpr index_t MWave = MPerBlock / (MRepeat * MPerXDL);
+                constexpr index_t NWave = NPerBlock / (NRepeat * NPerXDL);
 
-        constexpr auto a_b_k0_m_k1_block_desc = [&]() {
-            if constexpr(ABlockLdsExtraM)
-            {
-                return make_naive_tensor_descriptor(
-                    make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
-                    make_tuple(Number<K0PerBlock>{} * Number<MPerBlock + 1>{} * K1,
-                               Number<MPerBlock + 1>{} * K1,
-                               K1,
-                               I1));
-            }
-            else
-            {
-                return make_naive_tensor_descriptor_aligned(
-                    make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
-                    max_lds_align);
-            }
-        }();
-        // B matrix in LDS memory, dst of blockwise copy
-        constexpr auto b_k0_n_k1_block_desc = [&]() {
-            if constexpr(BBlockLdsExtraN)
-            {
-                return make_naive_tensor_descriptor(
-                    make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
-                    make_tuple(Number<NPerBlock + 1>{} * K1, K1, I1));
-            }
-            else
-            {
-                return make_naive_tensor_descriptor_aligned(
-                    make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1), max_lds_align);
-            }
-        }();
+                constexpr auto c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc =
+                    blockwise_gemm.GetCBlockDescriptor_M0_N0_M1_N1_M2_M3_M4_N2();
 
-        constexpr auto b_b_k0_n_k1_block_desc = [&]() {
-            if constexpr(BBlockLdsExtraN)
-            {
-                return make_naive_tensor_descriptor(
-                    make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
-                    make_tuple(Number<K0PerBlock>{} * Number<NPerBlock + 1>{} * K1,
-                               Number<NPerBlock + 1>{} * K1,
-                               K1,
-                               I1));
-            }
-            else
-            {
-                return make_naive_tensor_descriptor_aligned(
-                    make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
-                    max_lds_align);
-            }
-        }();
-        // A matrix blockwise copy
-        auto a_blockwise_copy =
-            ThreadGroupTensorSliceTransfer_v4r1<ThisThreadBlock,
-                                                AElementwiseOperation,
-                                                ck::tensor_operation::element_wise::PassThrough,
-                                                InMemoryDataOperationEnum::Set,
-                                                Sequence<1, K0PerBlock, MPerBlock, K1>,
-                                                ABlockTransferThreadClusterLengths_K0_M_K1,
-                                                ABlockTransferThreadClusterArrangeOrder,
-                                                FloatA,
-                                                LDSTypeA,
-                                                decltype(a_b_k0_m_k1_grid_desc),
-                                                decltype(a_b_k0_m_k1_block_desc),
-                                                ABlockTransferSrcAccessOrder,
-                                                Sequence<0, 2, 1, 3>,
-                                                ABlockTransferSrcVectorDim,
-                                                3,
-                                                ABlockTransferSrcScalarPerVector,
-                                                ABlockTransferDstScalarPerVector_K1,
-                                                1,
-                                                1,
-                                                AThreadTransferSrcResetCoordinateAfterRun,
-                                                true>(
-                a_b_k0_m_k1_grid_desc,
-                make_multi_index(k_batch_id, 0, m_block_data_idx_on_grid, 0),
-                a_element_op,
-                a_b_k0_m_k1_block_desc,
-                make_multi_index(0, 0, 0, 0),
-                ck::tensor_operation::element_wise::PassThrough{});
+                constexpr auto c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc =
+                    blockwise_gemm.GetCThreadDescriptor_M0_N0_M1_N1_M2_M3_M4_N2();
 
-        // B matrix blockwise copy
-        auto b_blockwise_copy =
-            ThreadGroupTensorSliceTransfer_v4r1<ThisThreadBlock,
-                                                BElementwiseOperation,
-                                                ck::tensor_operation::element_wise::PassThrough,
-                                                InMemoryDataOperationEnum::Set,
-                                                Sequence<1, K0PerBlock, NPerBlock, K1>,
-                                                BBlockTransferThreadClusterLengths_K0_N_K1,
-                                                BBlockTransferThreadClusterArrangeOrder,
-                                                FloatB,
-                                                LDSTypeB,
-                                                decltype(b_b_k0_n_k1_grid_desc),
-                                                decltype(b_b_k0_n_k1_block_desc),
-                                                BBlockTransferSrcAccessOrder,
-                                                Sequence<0, 2, 1, 3>,
-                                                BBlockTransferSrcVectorDim,
-                                                3,
-                                                BBlockTransferSrcScalarPerVector,
-                                                BBlockTransferDstScalarPerVector_K1,
-                                                1,
-                                                1,
-                                                BThreadTransferSrcResetCoordinateAfterRun,
-                                                true>(
-                b_b_k0_n_k1_grid_desc,
-                make_multi_index(k_batch_id, 0, n_block_data_idx_on_grid, 0),
-                b_element_op,
-                b_b_k0_n_k1_block_desc,
-                make_multi_index(0, 0, 0, 0),
-                ck::tensor_operation::element_wise::PassThrough{});
+                constexpr auto M0 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I0);
+                constexpr auto N0 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I1);
+                constexpr auto M1 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I2);
+                constexpr auto N1 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I3);
+                constexpr auto M2 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I4);
+                constexpr auto M3 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I5);
+                constexpr auto M4 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I6);
+                constexpr auto N2 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I7);
 
-        // GEMM definition
-        //   c_mtx += transpose(a_mtx) * b_mtx
-        //     a_mtx[K0PerBlock, MPerBlock] is in LDS
-        //     b_mtx[K0PerBlock, NPerBlock] is in LDS
-        //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
-        //       register
-        // sanity check
+                constexpr auto c_block_desc_mblock_mperblock_nblock_nperblock =
+                    GetCBlockDescriptor_MBlock_MPerBlock_NBlock_NPerBlock();
 
-        auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
-            BlockSize,
-            LDSTypeA,
-            LDSTypeB,
-            FloatAcc,
-            decltype(a_k0_m_k1_block_desc),
-            decltype(b_k0_n_k1_block_desc),
-            MPerXDL,
-            NPerXDL,
-            MRepeat,
-            NRepeat,
-            K1,
-            LoopSched,
-            ComputeTypeA,
-            ComputeTypeB>();
+                auto c_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
+                    static_cast<FloatC*>(p_shared_block),
+                    c_block_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize());
 
-        auto c_thread_buf = blockwise_gemm.GetCThreadBuffer();
+                constexpr auto c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2 = transform_tensor_descriptor(
+                    c_block_desc_mblock_mperblock_nblock_nperblock,
+                    make_tuple(make_freeze_transform(I0), // freeze mblock
+                               make_unmerge_transform(
+                                   make_tuple(CShuffleMRepeatPerShuffle,
+                                              M1,
+                                              M2,
+                                              M3,
+                                              M4)),       // M1 = MWave, M2 * M3 * M4 = MPerXDL
+                               make_freeze_transform(I0), // freeze nblock
+                               make_unmerge_transform(
+                                   make_tuple(CShuffleNRepeatPerShuffle,
+                                              N1,
+                                              N2))), // M1 = MWave, M2 * M3 * M4 = MPerXDL
+                    make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
+                    make_tuple(Sequence<>{},
+                               Sequence<0, 2, 4, 5, 6>{},
+                               Sequence<>{},
+                               Sequence<1, 3, 7>{}));
 
-        // LDS allocation for A and B: be careful of alignment
-        constexpr auto a_block_space_size =
-            math::integer_least_multiple(a_k0_m_k1_block_desc.GetElementSpaceSize(), max_lds_align);
+                // calculate origin of thread output tensor on global memory
+                //     blockwise GEMM c matrix starting index
+                const auto c_thread_mtx_on_block =
+                    blockwise_gemm.CalculateCThreadOriginDataIndex(I0, I0, I0, I0);
 
-        auto p_a_block = reinterpret_cast<LDSTypeA*>(p_shared_block);
-        auto p_b_block = reinterpret_cast<LDSTypeB*>(p_a_block + a_block_space_size);
+                const index_t m_thread_data_on_block = c_thread_mtx_on_block[I0];
+                const index_t n_thread_data_on_block = c_thread_mtx_on_block[I1];
 
-        constexpr auto a_block_slice_copy_step = make_multi_index(0, K0PerBlock, 0, 0);
-        constexpr auto b_block_slice_copy_step = make_multi_index(0, K0PerBlock, 0, 0);
+                const auto m_thread_data_on_block_to_m0_m1_m2_m3_m4_adaptor =
+                    make_single_stage_tensor_adaptor(
+                        make_tuple(make_merge_transform(make_tuple(M0, M1, M2, M3, M4))),
+                        make_tuple(Sequence<0, 1, 2, 3, 4>{}),
+                        make_tuple(Sequence<0>{}));
 
-        auto a_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
-            p_a_block, a_k0_m_k1_block_desc.GetElementSpaceSize());
-        auto b_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
-            p_b_block, b_k0_n_k1_block_desc.GetElementSpaceSize());
+                const auto m_thread_data_on_block_idx =
+                    m_thread_data_on_block_to_m0_m1_m2_m3_m4_adaptor.CalculateBottomIndex(
+                        make_multi_index(m_thread_data_on_block));
 
-        // gridwise GEMM pipeline
-        const index_t num_k_block_main_loop = __builtin_amdgcn_readfirstlane(
-            (a_b_k0_m_k1_grid_desc.GetLength(I1) * a_b_k0_m_k1_grid_desc.GetLength(I3)) /
-            (K0PerBlock * K1));
+                const auto n_thread_data_on_block_to_n0_n1_n2_adaptor =
+                    make_single_stage_tensor_adaptor(
+                        make_tuple(make_merge_transform(make_tuple(N0, N1, N2))),
+                        make_tuple(Sequence<0, 1, 2>{}),
+                        make_tuple(Sequence<0>{}));
 
-        const auto gridwise_gemm_pipeline = GridwiseGemmPipe{};
+                const auto n_thread_data_on_block_idx =
+                    n_thread_data_on_block_to_n0_n1_n2_adaptor.CalculateBottomIndex(
+                        make_multi_index(n_thread_data_on_block));
 
-        gridwise_gemm_pipeline.template Run<HasMainKBlockLoop>(a_b_k0_m_k1_grid_desc,
-                                                               a_b_k0_m_k1_block_desc,
-                                                               a_blockwise_copy,
-                                                               a_grid_buf,
-                                                               a_block_buf,
-                                                               a_block_slice_copy_step,
-                                                               b_b_k0_n_k1_grid_desc,
-                                                               b_b_k0_n_k1_block_desc,
-                                                               b_blockwise_copy,
-                                                               b_grid_buf,
-                                                               b_block_buf,
-                                                               b_block_slice_copy_step,
-                                                               blockwise_gemm,
-                                                               c_thread_buf,
-                                                               num_k_block_main_loop);
+                // VGPR to LDS
+                auto c_thread_copy_vgpr_to_lds = ThreadwiseTensorSliceTransfer_v1r3<
+                    FloatAcc,
+                    FloatC,
+                    decltype(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc),
+                    decltype(c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2),
+                    ck::tensor_operation::element_wise::PassThrough,
+                    Sequence<CShuffleMRepeatPerShuffle,
+                             CShuffleNRepeatPerShuffle,
+                             I1,
+                             I1,
+                             M2,
+                             I1,
+                             M4,
+                             I1>,
+                    Sequence<0, 1, 2, 3, 4, 5, 6, 7>,
+                    7,
+                    1,
+                    InMemoryDataOperationEnum::Set,
+                    1,
+                    true>{c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                          make_multi_index(0,
+                                           0,
+                                           m_thread_data_on_block_idx[I1],
+                                           n_thread_data_on_block_idx[I1],
+                                           m_thread_data_on_block_idx[I2],
+                                           m_thread_data_on_block_idx[I3],
+                                           m_thread_data_on_block_idx[I4],
+                                           n_thread_data_on_block_idx[I2]),
+                          ck::tensor_operation::element_wise::PassThrough{}};
 
-        // output: register to global memory
-        {
-            constexpr index_t MWave = MPerBlock / (MRepeat * MPerXDL);
-            constexpr index_t NWave = NPerBlock / (NRepeat * NPerXDL);
+                // LDS to global
+                auto c_block_copy_lds_to_global = ThreadGroupTensorSliceTransfer_v6r1<
+                    ThisThreadBlock,            // index_t BlockSize,
+                    CElementwiseOperation,      // ElementwiseOperation,
+                    CGlobalMemoryDataOperation, // DstInMemOp,
+                    Sequence<1,
+                             CShuffleMRepeatPerShuffle * MWave * MPerXDL,
+                             1,
+                             CShuffleNRepeatPerShuffle * NWave * NPerXDL>, // BlockSliceLengths,
+                    CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
+                    Sequence<0, 1, 2, 3>, // typename ThreadClusterArrangeOrder,
+                    FloatC,               // typename SrcData,
+                    FloatC,               // typename DstData,
+                    decltype(c_block_desc_mblock_mperblock_nblock_nperblock),
+                    decltype(c_grid_desc_mblock_mperblock_nblock_nperblock),
+                    Sequence<0, 1, 2, 3>,                       // typename DimAccessOrder,
+                    3,                                          // index_t VectorDim,
+                    CBlockTransferScalarPerVector_NWaveNPerXDL, // index_t ScalarPerVector,
+                    true,  // bool ThreadTransferSrcResetCoordinateAfterRun,
+                    false> // bool ThreadTransferDstResetCoordinateAfterRun
+                    {c_block_desc_mblock_mperblock_nblock_nperblock,
+                     make_multi_index(0, 0, 0, 0),
+                     c_grid_desc_mblock_mperblock_nblock_nperblock,
+                     make_multi_index(block_m_id, 0, block_n_id, 0),
+                     c_element_op};
 
-            constexpr auto c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc =
-                blockwise_gemm.GetCBlockDescriptor_M0_N0_M1_N1_M2_M3_M4_N2();
+                constexpr auto mxdlperwave_forward_step =
+                    make_multi_index(0, CShuffleMRepeatPerShuffle * MWave * MPerXDL, 0, 0);
+                constexpr auto nxdlperwave_forward_step =
+                    make_multi_index(0, 0, 0, CShuffleNRepeatPerShuffle * NWave * NPerXDL);
+                constexpr auto nxdlperwave_backward_step =
+                    make_multi_index(0, 0, 0, -CShuffleNRepeatPerShuffle * NWave * NPerXDL);
 
-            constexpr auto c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc =
-                blockwise_gemm.GetCThreadDescriptor_M0_N0_M1_N1_M2_M3_M4_N2();
+                static_for<0, MRepeat, CShuffleMRepeatPerShuffle>{}([&](auto mxdlperwave_iter) {
+                    constexpr auto mxdlperwave = mxdlperwave_iter;
 
-            constexpr auto M0 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I0);
-            constexpr auto N0 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I1);
-            constexpr auto M1 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I2);
-            constexpr auto N1 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I3);
-            constexpr auto M2 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I4);
-            constexpr auto M3 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I5);
-            constexpr auto M4 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I6);
-            constexpr auto N2 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I7);
+                    static_for<0, NRepeat, CShuffleNRepeatPerShuffle>{}([&](auto nxdlperwave_iter) {
+                        constexpr bool nxdlperwave_forward_sweep =
+                            (mxdlperwave % (2 * CShuffleMRepeatPerShuffle) == 0);
 
-            constexpr auto c_block_desc_mblock_mperblock_nblock_nperblock =
-                GetCBlockDescriptor_MBlock_MPerBlock_NBlock_NPerBlock();
+                        constexpr index_t nxdlperwave_value =
+                            nxdlperwave_forward_sweep
+                                ? nxdlperwave_iter
+                                : (NRepeat - nxdlperwave_iter - CShuffleNRepeatPerShuffle);
 
-            auto c_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
-                static_cast<FloatC*>(p_shared_block),
-                c_block_desc_mblock_mperblock_nblock_nperblock.GetElementSpaceSize());
+                        constexpr auto nxdlperwave = Number<nxdlperwave_value>{};
 
-            constexpr auto c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2 = transform_tensor_descriptor(
-                c_block_desc_mblock_mperblock_nblock_nperblock,
-                make_tuple(
-                    make_freeze_transform(I0), // freeze mblock
-                    make_unmerge_transform(make_tuple(CShuffleMRepeatPerShuffle,
-                                                      M1,
-                                                      M2,
-                                                      M3,
-                                                      M4)), // M1 = MWave, M2 * M3 * M4 = MPerXDL
-                    make_freeze_transform(I0),              // freeze nblock
-                    make_unmerge_transform(make_tuple(CShuffleNRepeatPerShuffle,
-                                                      N1,
-                                                      N2))), // M1 = MWave, M2 * M3 * M4 = MPerXDL
-                make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
-                make_tuple(
-                    Sequence<>{}, Sequence<0, 2, 4, 5, 6>{}, Sequence<>{}, Sequence<1, 3, 7>{}));
+                        // make sure it's safe to do ds_write
+                        block_sync_lds();
 
-            // calculate origin of thread output tensor on global memory
-            //     blockwise GEMM c matrix starting index
-            const auto c_thread_mtx_on_block =
-                blockwise_gemm.CalculateCThreadOriginDataIndex(I0, I0, I0, I0);
+                        // VGPR to LDS
+                        c_thread_copy_vgpr_to_lds.Run(
+                            c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc,
+                            make_tuple(mxdlperwave, nxdlperwave, I0, I0, I0, I0, I0, I0),
+                            c_thread_buf,
+                            c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2,
+                            c_block_buf);
 
-            const index_t m_thread_data_on_block = c_thread_mtx_on_block[I0];
-            const index_t n_thread_data_on_block = c_thread_mtx_on_block[I1];
+                        // make sure it's safe to do ds_read
+                        block_sync_lds();
 
-            const auto m_thread_data_on_block_to_m0_m1_m2_m3_m4_adaptor =
-                make_single_stage_tensor_adaptor(
-                    make_tuple(make_merge_transform(make_tuple(M0, M1, M2, M3, M4))),
-                    make_tuple(Sequence<0, 1, 2, 3, 4>{}),
-                    make_tuple(Sequence<0>{}));
+                        // LDS to global
+                        c_block_copy_lds_to_global.Run(
+                            c_block_desc_mblock_mperblock_nblock_nperblock,
+                            c_block_buf,
+                            c_grid_desc_mblock_mperblock_nblock_nperblock,
+                            c_grid_buf);
 
-            const auto m_thread_data_on_block_idx =
-                m_thread_data_on_block_to_m0_m1_m2_m3_m4_adaptor.CalculateBottomIndex(
-                    make_multi_index(m_thread_data_on_block));
+                        // move on nxdlperwave dimension
+                        if constexpr(nxdlperwave_forward_sweep &&
+                                     (nxdlperwave < NRepeat - CShuffleNRepeatPerShuffle))
+                        {
+                            c_block_copy_lds_to_global.MoveDstSliceWindow(
+                                c_grid_desc_mblock_mperblock_nblock_nperblock,
+                                nxdlperwave_forward_step);
+                        }
+                        else if constexpr((!nxdlperwave_forward_sweep) && (nxdlperwave > 0))
+                        {
+                            c_block_copy_lds_to_global.MoveDstSliceWindow(
+                                c_grid_desc_mblock_mperblock_nblock_nperblock,
+                                nxdlperwave_backward_step);
+                        }
+                    });
 
-            const auto n_thread_data_on_block_to_n0_n1_n2_adaptor =
-                make_single_stage_tensor_adaptor(
-                    make_tuple(make_merge_transform(make_tuple(N0, N1, N2))),
-                    make_tuple(Sequence<0, 1, 2>{}),
-                    make_tuple(Sequence<0>{}));
-
-            const auto n_thread_data_on_block_idx =
-                n_thread_data_on_block_to_n0_n1_n2_adaptor.CalculateBottomIndex(
-                    make_multi_index(n_thread_data_on_block));
-
-            // VGPR to LDS
-            auto c_thread_copy_vgpr_to_lds =
-                ThreadwiseTensorSliceTransfer_v1r3<FloatAcc,
-                                                   FloatC,
-                                                   decltype(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc),
-                                                   decltype(c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2),
-                                                   ck::tensor_operation::element_wise::PassThrough,
-                                                   Sequence<CShuffleMRepeatPerShuffle,
-                                                            CShuffleNRepeatPerShuffle,
-                                                            I1,
-                                                            I1,
-                                                            M2,
-                                                            I1,
-                                                            M4,
-                                                            I1>,
-                                                   Sequence<0, 1, 2, 3, 4, 5, 6, 7>,
-                                                   7,
-                                                   1,
-                                                   InMemoryDataOperationEnum::Set,
-                                                   1,
-                                                   true>{
-                    c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2,
-                    make_multi_index(0,
-                                     0,
-                                     m_thread_data_on_block_idx[I1],
-                                     n_thread_data_on_block_idx[I1],
-                                     m_thread_data_on_block_idx[I2],
-                                     m_thread_data_on_block_idx[I3],
-                                     m_thread_data_on_block_idx[I4],
-                                     n_thread_data_on_block_idx[I2]),
-                    ck::tensor_operation::element_wise::PassThrough{}};
-
-            // LDS to global
-            auto c_block_copy_lds_to_global = ThreadGroupTensorSliceTransfer_v6r1<
-                ThisThreadBlock,            // index_t BlockSize,
-                CElementwiseOperation,      // ElementwiseOperation,
-                CGlobalMemoryDataOperation, // DstInMemOp,
-                Sequence<1,
-                         CShuffleMRepeatPerShuffle * MWave * MPerXDL,
-                         1,
-                         CShuffleNRepeatPerShuffle * NWave * NPerXDL>, // BlockSliceLengths,
-                CBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
-                Sequence<0, 1, 2, 3>, // typename ThreadClusterArrangeOrder,
-                FloatC,               // typename SrcData,
-                FloatC,               // typename DstData,
-                decltype(c_block_desc_mblock_mperblock_nblock_nperblock),
-                decltype(c_grid_desc_mblock_mperblock_nblock_nperblock),
-                Sequence<0, 1, 2, 3>,                       // typename DimAccessOrder,
-                3,                                          // index_t VectorDim,
-                CBlockTransferScalarPerVector_NWaveNPerXDL, // index_t ScalarPerVector,
-                true,  // bool ThreadTransferSrcResetCoordinateAfterRun,
-                false> // bool ThreadTransferDstResetCoordinateAfterRun
-                {c_block_desc_mblock_mperblock_nblock_nperblock,
-                 make_multi_index(0, 0, 0, 0),
-                 c_grid_desc_mblock_mperblock_nblock_nperblock,
-                 make_multi_index(block_m_id, 0, block_n_id, 0),
-                 c_element_op};
-
-            constexpr auto mxdlperwave_forward_step =
-                make_multi_index(0, CShuffleMRepeatPerShuffle * MWave * MPerXDL, 0, 0);
-            constexpr auto nxdlperwave_forward_step =
-                make_multi_index(0, 0, 0, CShuffleNRepeatPerShuffle * NWave * NPerXDL);
-            constexpr auto nxdlperwave_backward_step =
-                make_multi_index(0, 0, 0, -CShuffleNRepeatPerShuffle * NWave * NPerXDL);
-
-            static_for<0, MRepeat, CShuffleMRepeatPerShuffle>{}([&](auto mxdlperwave_iter) {
-                constexpr auto mxdlperwave = mxdlperwave_iter;
-
-                static_for<0, NRepeat, CShuffleNRepeatPerShuffle>{}([&](auto nxdlperwave_iter) {
-                    constexpr bool nxdlperwave_forward_sweep =
-                        (mxdlperwave % (2 * CShuffleMRepeatPerShuffle) == 0);
-
-                    constexpr index_t nxdlperwave_value =
-                        nxdlperwave_forward_sweep
-                            ? nxdlperwave_iter
-                            : (NRepeat - nxdlperwave_iter - CShuffleNRepeatPerShuffle);
-
-                    constexpr auto nxdlperwave = Number<nxdlperwave_value>{};
-
-                    // make sure it's safe to do ds_write
-                    block_sync_lds();
-
-                    // VGPR to LDS
-                    c_thread_copy_vgpr_to_lds.Run(
-                        c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc,
-                        make_tuple(mxdlperwave, nxdlperwave, I0, I0, I0, I0, I0, I0),
-                        c_thread_buf,
-                        c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2,
-                        c_block_buf);
-
-                    // make sure it's safe to do ds_read
-                    block_sync_lds();
-
-                    // LDS to global
-                    c_block_copy_lds_to_global.Run(c_block_desc_mblock_mperblock_nblock_nperblock,
-                                                   c_block_buf,
-                                                   c_grid_desc_mblock_mperblock_nblock_nperblock,
-                                                   c_grid_buf);
-
-                    // move on nxdlperwave dimension
-                    if constexpr(nxdlperwave_forward_sweep &&
-                                 (nxdlperwave < NRepeat - CShuffleNRepeatPerShuffle))
+                    // move on mxdlperwave dimension
+                    if constexpr(mxdlperwave < MRepeat - CShuffleMRepeatPerShuffle)
                     {
                         c_block_copy_lds_to_global.MoveDstSliceWindow(
                             c_grid_desc_mblock_mperblock_nblock_nperblock,
-                            nxdlperwave_forward_step);
-                    }
-                    else if constexpr((!nxdlperwave_forward_sweep) && (nxdlperwave > 0))
-                    {
-                        c_block_copy_lds_to_global.MoveDstSliceWindow(
-                            c_grid_desc_mblock_mperblock_nblock_nperblock,
-                            nxdlperwave_backward_step);
+                            mxdlperwave_forward_step);
                     }
                 });
-
-                // move on mxdlperwave dimension
-                if constexpr(mxdlperwave < MRepeat - CShuffleMRepeatPerShuffle)
-                {
-                    c_block_copy_lds_to_global.MoveDstSliceWindow(
-                        c_grid_desc_mblock_mperblock_nblock_nperblock, mxdlperwave_forward_step);
-                }
-            });
+            }
         }
     }
 
diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v3r1.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v3r1.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v3r2.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v3r2.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v3r3.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_gemm_xdlops_v3r3.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_permute.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_permute.hpp
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_put_element_1d.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_put_element_1d.hpp
old mode 100644
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diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_set_buffer_value.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_set_buffer_value.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_set_multiple_buffer_value.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_set_multiple_buffer_value.hpp
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new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_softmax.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_softmax.hpp
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new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_sparse_embeddings_forward_layernorm.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_sparse_embeddings_forward_layernorm.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/gridwise_tensor_rearrange.hpp b/include/ck/tensor_operation/gpu/grid/gridwise_tensor_rearrange.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_bwd_data.hpp b/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_bwd_data.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_bwd_gamma_beta.hpp b/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_bwd_gamma_beta.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_naive_variance.hpp b/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_naive_variance.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_selector.hpp b/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_selector.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_splitk_1st.hpp b/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_splitk_1st.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_splitk_2nd.hpp b/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_splitk_2nd.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_welford_variance.hpp b/include/ck/tensor_operation/gpu/grid/normalization/gridwise_normalization_welford_variance.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/thread/reduction_functions_threadwise.hpp b/include/ck/tensor_operation/gpu/thread/reduction_functions_threadwise.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_contraction_dl.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_contraction_dl.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_gemm_dlops_v3.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_gemm_dlops_v3.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_set.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_set.hpp
old mode 100644
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diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer.hpp
old mode 100644
new mode 100755
diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v3r1.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v3r1.hpp
old mode 100644
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diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v3r1_dequant.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v3r1_dequant.hpp
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diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v4r1.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v4r1.hpp
old mode 100644
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diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v5r1.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v5r1.hpp
old mode 100644
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diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r1.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r1.hpp
old mode 100644
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diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r1r2.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r1r2.hpp
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diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r2.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r2.hpp
old mode 100644
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diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r3.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r3.hpp
old mode 100644
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diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v7.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v7.hpp
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diff --git a/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v7r2.hpp b/include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v7r2.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/gemm_add_relu.hpp b/library/include/ck/library/tensor_operation_instance/gpu/gemm_add_relu.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/gemm_add_silu.hpp b/library/include/ck/library/tensor_operation_instance/gpu/gemm_add_silu.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_data/device_grouped_conv_bwd_data_wmma_f16_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_data/device_grouped_conv_bwd_data_wmma_f16_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_data/device_grouped_conv_bwd_data_wmma_i8_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_data/device_grouped_conv_bwd_data_wmma_i8_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_data/device_grouped_conv_bwd_data_xdl_bilinear_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_data/device_grouped_conv_bwd_data_xdl_bilinear_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_data/device_grouped_conv_bwd_data_xdl_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_data/device_grouped_conv_bwd_data_xdl_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_data/device_grouped_conv_bwd_data_xdl_scale_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_data/device_grouped_conv_bwd_data_xdl_scale_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_grouped_conv_bwd_weight_dl_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_grouped_conv_bwd_weight_dl_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_grouped_conv_bwd_weight_wmma_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_grouped_conv_bwd_weight_wmma_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_grouped_conv_bwd_weight_xdl_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_grouped_conv_bwd_weight_xdl_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_dl_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_dl_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_wmma_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_wmma_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_bilinear_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_bilinear_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_scale_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_scale_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_scaleadd_ab_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_scaleadd_ab_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_fwd/device_grouped_conv_fwd_xdl_scaleadd_scaleadd_relu_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_convolution_backward_data.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_convolution_backward_data.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_convolution_forward.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_convolution_forward.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_convolution_forward_scaleadd_ab.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_convolution_forward_scaleadd_ab.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_convolution_forward_scaleadd_scaleadd_relu.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_convolution_forward_scaleadd_scaleadd_relu.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_gemm.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_gemm.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_gemm_bias.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_gemm_bias.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_gemm_fastgelu.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_gemm_fastgelu.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/grouped_gemm_fixed_nk.hpp b/library/include/ck/library/tensor_operation_instance/gpu/grouped_gemm_fixed_nk.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/groupnorm_bwd_gamma_beta.hpp b/library/include/ck/library/tensor_operation_instance/gpu/groupnorm_bwd_gamma_beta.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/layernorm_bwd_gamma_beta.hpp b/library/include/ck/library/tensor_operation_instance/gpu/layernorm_bwd_gamma_beta.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/normalization_fwd_swish.hpp b/library/include/ck/library/tensor_operation_instance/gpu/normalization_fwd_swish.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/permute_scale/device_permute_scale_instances.hpp b/library/include/ck/library/tensor_operation_instance/gpu/permute_scale/device_permute_scale_instances.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/pool3d_fwd.hpp b/library/include/ck/library/tensor_operation_instance/gpu/pool3d_fwd.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/quantization/gemm_quantization.hpp b/library/include/ck/library/tensor_operation_instance/gpu/quantization/gemm_quantization.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/quantization/grouped_convolution_bias_forward_perchannel_quantization.hpp b/library/include/ck/library/tensor_operation_instance/gpu/quantization/grouped_convolution_bias_forward_perchannel_quantization.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/quantization/grouped_convolution_bias_forward_perlayer_quantization.hpp b/library/include/ck/library/tensor_operation_instance/gpu/quantization/grouped_convolution_bias_forward_perlayer_quantization.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/quantization/grouped_convolution_forward_perlayer_quantization.hpp b/library/include/ck/library/tensor_operation_instance/gpu/quantization/grouped_convolution_forward_perlayer_quantization.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_b16_f32_b16_amax.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_b16_f32_b16_amax.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_b16_f32_b16_avg.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_b16_f32_b16_avg.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_b16_f32_b16_max.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_b16_f32_b16_max.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_b16_f32_b16_norm2.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_b16_f32_b16_norm2.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_i8_i32_i8_add.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_i8_i32_i8_add.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f16_f32_f32_add.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f16_f32_f32_add.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f16_f32_f32_avg.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f16_f32_f32_avg.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f32_f32_f32_add.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f32_f32_f32_add.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f32_f32_f32_avg.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f32_f32_f32_avg.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f32_f64_f32_add.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f32_f64_f32_add.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f32_f64_f32_avg.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f32_f64_f32_avg.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f64_f64_f64_add.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f64_f64_f64_add.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f64_f64_f64_avg.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f64_f64_f64_avg.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_add.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_add.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_amax.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_amax.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_avg.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_avg.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_max.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_max.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_min.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_min.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_norm2.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_b16_f32_b16_norm2.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f16_f16_amax.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f16_f16_amax.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f16_f16_max.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f16_f16_max.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f16_f16_min.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f16_f16_min.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f32_f16_add.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f32_f16_add.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f32_f16_avg.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f32_f16_avg.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f32_f16_norm2.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f32_f16_norm2.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_add.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_add.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_amax.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_amax.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_avg.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_avg.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_max.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_max.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_min.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_min.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_norm2.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f32_f32_norm2.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f64_f32_add.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f64_f32_add.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f64_f32_avg.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f64_f32_avg.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f64_f32_norm2.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f32_f64_f32_norm2.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_add.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_add.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_amax.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_amax.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_avg.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_avg.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_max.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_max.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_min.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_min.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_norm2.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f64_f64_f64_norm2.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_i8_i32_i8_add.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_i8_i32_i8_add.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_i8_i32_i8_avg.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_i8_i32_i8_avg.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_i8_i8_i8_amax.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_i8_i8_i8_amax.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_i8_i8_i8_max.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_i8_i8_i8_max.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_i8_i8_i8_min.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_i8_i8_i8_min.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/reduce/reduce.hpp b/library/include/ck/library/tensor_operation_instance/gpu/reduce/reduce.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank3_reduce1.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank3_reduce1.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank3_reduce2.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank3_reduce2.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank3_reduce3.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank3_reduce3.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce1.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce1.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce2.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce2.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce3.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce3.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce4.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce4.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_type.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_type.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank3_reduce1.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank3_reduce1.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank3_reduce2.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank3_reduce2.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank3_reduce3.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank3_reduce3.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce1.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce1.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce2.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce2.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce3.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce3.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce4.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce4.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_type.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_type.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/softmax/device_softmax_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/transpose/device_transpose_instance.hpp b/library/include/ck/library/tensor_operation_instance/gpu/transpose/device_transpose_instance.hpp
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diff --git a/library/include/ck/library/tensor_operation_instance/gpu/transpose_3d.hpp b/library/include/ck/library/tensor_operation_instance/gpu/transpose_3d.hpp
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diff --git a/library/include/ck/library/utility/algorithm.hpp b/library/include/ck/library/utility/algorithm.hpp
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diff --git a/library/include/ck/library/utility/check_err.hpp b/library/include/ck/library/utility/check_err.hpp
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diff --git a/library/include/ck/library/utility/conv_common.hpp b/library/include/ck/library/utility/conv_common.hpp
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diff --git a/library/include/ck/library/utility/convolution_host_tensor_descriptor_helper.hpp b/library/include/ck/library/utility/convolution_host_tensor_descriptor_helper.hpp
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diff --git a/library/include/ck/library/utility/convolution_parameter.hpp b/library/include/ck/library/utility/convolution_parameter.hpp
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diff --git a/library/include/ck/library/utility/device_memory.hpp b/library/include/ck/library/utility/device_memory.hpp
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diff --git a/library/include/ck/library/utility/fill.hpp b/library/include/ck/library/utility/fill.hpp
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diff --git a/library/include/ck/library/utility/host_common_util.hpp b/library/include/ck/library/utility/host_common_util.hpp
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diff --git a/library/include/ck/library/utility/host_gemm.hpp b/library/include/ck/library/utility/host_gemm.hpp
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diff --git a/library/include/ck/library/utility/host_tensor.hpp b/library/include/ck/library/utility/host_tensor.hpp
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diff --git a/library/include/ck/library/utility/host_tensor_generator.hpp b/library/include/ck/library/utility/host_tensor_generator.hpp
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index 6fd7ed8aa8..b55cfb6558
--- a/library/include/ck/library/utility/host_tensor_generator.hpp
+++ b/library/include/ck/library/utility/host_tensor_generator.hpp
@@ -142,6 +142,45 @@ struct GeneratorTensor_3
     }
 };
 
+// template <typename T>
+// struct GeneratorTensor_3_control_entropy
+// {
+
+//     // constexpr static int fp32_exponent_size = 8;
+//     // constexpr static int fp32_mantissa_size = 23;
+//     constexpr static int fp16_exponent_size = 5;
+//     constexpr static int fp16_mantissa_size = 10;
+
+//     mutable std::mt19937 gen{std::random_device{}()};
+//     mutable std::uniform_int_distribution<uint16_t> dis{0, 0xFFFF};
+//     float MAX_FP32_NUM = 0xFFFFFFFF;
+//     float MAX_FP16_NUM = 0xFFFF;
+
+//     template <typename... Is>
+//     T operator()(Is...) const
+//     {
+//         uint16_t bits = dis(gen); // Generate 32 random bits
+
+//         // Combine the bits into a floating-point number according to IEEE 754 format
+//         uint16_t sign     = bits >> 15;           // Get the sign bit
+//         uint16_t exponent = (bits >> 10) & 0x1F; // Get the exponent bits
+//         uint16_t mantissa = bits & 0x3FF;      // Get the mantissa bits
+
+//         if(exponent == 0x1F || exponent == 0)
+//         {
+//             // Avoid NaN and denormalized numbers
+//             return static_cast<T>(0.0);
+//         }
+
+//         // Shift the exponent to the correct position and set the sign bit
+
+//         int16_t result = (sign << 15) | ((exponent - 15 + 0x1F) << 10) |
+//                           (mantissa >> (10 - fp16_mantissa_size));
+//         float v= static_cast<float>(*reinterpret_cast<uint16_t*>(std::bitset<16>(result).to_string().c_str())) / MAX_FP16_NUM;
+//         printf("%0f,\t", v / MAX_FP16_NUM);
+//         return static_cast<T>(vector_type_maker / MAX_FP16_NUM);
+//     }
+// };
 template <>
 struct GeneratorTensor_3<ck::bhalf_t>
 {
diff --git a/library/include/ck/library/utility/iterator.hpp b/library/include/ck/library/utility/iterator.hpp
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diff --git a/library/include/ck/library/utility/literals.hpp b/library/include/ck/library/utility/literals.hpp
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diff --git a/library/include/ck/library/utility/numeric.hpp b/library/include/ck/library/utility/numeric.hpp
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diff --git a/library/include/ck/library/utility/ranges.hpp b/library/include/ck/library/utility/ranges.hpp
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diff --git a/library/src/tensor_operation_instance/gpu/CMakeLists.txt b/library/src/tensor_operation_instance/gpu/CMakeLists.txt
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diff --git a/library/src/tensor_operation_instance/gpu/avg_pool3d_bwd/CMakeLists.txt b/library/src/tensor_operation_instance/gpu/avg_pool3d_bwd/CMakeLists.txt
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diff --git a/library/src/tensor_operation_instance/gpu/avg_pool3d_bwd/avg_pool3d_bwd_ndhwc_instance_common.hpp b/library/src/tensor_operation_instance/gpu/avg_pool3d_bwd/avg_pool3d_bwd_ndhwc_instance_common.hpp
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diff --git a/library/src/tensor_operation_instance/gpu/avg_pool3d_bwd/device_avg_pool3d_bwd_ndhwc_bf16_instance.cpp b/library/src/tensor_operation_instance/gpu/avg_pool3d_bwd/device_avg_pool3d_bwd_ndhwc_bf16_instance.cpp
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diff --git a/library/src/tensor_operation_instance/gpu/avg_pool3d_bwd/device_avg_pool3d_bwd_ndhwc_f16_instance.cpp b/library/src/tensor_operation_instance/gpu/avg_pool3d_bwd/device_avg_pool3d_bwd_ndhwc_f16_instance.cpp
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diff --git a/library/src/tensor_operation_instance/gpu/avg_pool3d_bwd/device_avg_pool3d_bwd_ndhwc_f32_instance.cpp b/library/src/tensor_operation_instance/gpu/avg_pool3d_bwd/device_avg_pool3d_bwd_ndhwc_f32_instance.cpp
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diff --git a/library/src/tensor_operation_instance/gpu/batched_gemm/CMakeLists.txt b/library/src/tensor_operation_instance/gpu/batched_gemm/CMakeLists.txt
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index 51d6f7a30c..13f5f08671 100755
--- a/script/cmake-ck-dev.sh
+++ b/script/cmake-ck-dev.sh
@@ -11,7 +11,7 @@ cmake
 -D CMAKE_CXX_FLAGS="-std=c++17 -O3 -ftemplate-backtrace-limit=0  -fPIE  -Wno-gnu-line-marker"     \
 -D CMAKE_BUILD_TYPE=Release                                                                       \
 -D BUILD_DEV=ON                                                                                   \
--D GPU_TARGETS="gfx908;gfx90a;gfx940"                                                             \
+-D GPU_TARGETS="gfx942"                                                             \
 -D CMAKE_VERBOSE_MAKEFILE:BOOL=ON                                                                 \
 -D USE_BITINT_EXTENSION_INT4=OFF                                                                  \
 ${MY_PROJECT_SOURCE}
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