Update to dropout kernel/device-op/example

example/52_flash_atten_bias/batched_multihead_attention_bias_forward_v2_zcheck.cpp

@@ -29,7 +29,7 @@ Gemm + Softmax + Gemm fused operation. Computes C_g_m_o = Softmax(A_g_m_k * B0_g
 #include "ck/library/utility/host_tensor_generator.hpp"
 #include "ck/library/utility/literals.hpp"
 
-#include "ck/library/utility/host_common_util.hpp"
+//#include "ck/library/utility/host_common_util.hpp"
 
 template <ck::index_t... Is>
 using S = ck::Sequence<Is...>;
@@ -316,17 +316,16 @@ using DeviceDropoutInstance =
                                                        TensorSpecB1,
                                                        TensorSpecC,
                                                        256, // BlockSize
-                                                       128, // MPerBlock
+                                                       64,  // MPerBlock
                                                        128, // NPerBlock
                                                        32,  // KPerBlock
                                                        128, // Gemm1NPerBlock
                                                        8,   // AK1
                                                        8,   // BK1
-                                                       2,   // B1K1
                                                        32,  // MPerXDL
                                                        32,  // NPerXDL
-                                                       1,   // MXdlPerWave
-                                                       4>;  // NXdlPerWave
+                                                       2,   // MXdlPerWave
+                                                       1>;  // NXdlPerWave
 
 #include "run_batched_multihead_attention_bias_forward_zcheck.inc"
 

example/52_flash_atten_bias/run_batched_multihead_attention_bias_forward_zcheck.inc

@@ -3,14 +3,14 @@
 
 int run(int argc, char* argv[])
 {
-    using ck::host_common::dumpBufferToFile;
+    // using ck::host_common::dumpBufferToFile;
 
     int init_method = 1;
 
     // GEMM shape for A/B0/B1/C
     // C_g_m_o = A_g_m_k * B0_g_k_n * B1_g_n_o
-    ck::index_t M = 200; // 120
-    ck::index_t N = 200; // 1000
+    ck::index_t M = 1000; // 120
+    ck::index_t N = 1000; // 1000
     ck::index_t K = DIM;
     ck::index_t O = DIM;
 
@@ -225,7 +225,7 @@ int run(int argc, char* argv[])
 
     z_device_buf.FromDevice(z_gs_ms_ns.mData.data());
 
-    dumpBufferToFile("forward_z.dat", z_gs_ms_ns.mData.data(), z_gs_ms_ns.mData.size());
+    // dumpBufferToFile("forward_z.dat", z_gs_ms_ns.mData.data(), z_gs_ms_ns.mData.size());
 
     // do Dropout
     auto dropout_op      = DeviceDropoutInstance();
@@ -245,7 +245,7 @@ int run(int argc, char* argv[])
 
     z_device_buf_2.FromDevice(z_gs_ms_ns_2.mData.data());
 
-    dumpBufferToFile("canonic_z.dat", z_gs_ms_ns_2.mData.data(), z_gs_ms_ns_2.mData.size());
+    // dumpBufferToFile("canonic_z.dat", z_gs_ms_ns_2.mData.data(), z_gs_ms_ns_2.mData.size());
 
     return ck::utils::check_integer_err(z_gs_ms_ns.mData, z_gs_ms_ns_2.mData, 1.0e-5);
 }

include/ck/tensor_operation/gpu/device/impl/device_batched_dropout.hpp

@@ -105,7 +105,6 @@ template <index_t NumDimG,
           index_t Gemm1NPerBlock,
           index_t AK1,
           index_t BK1,
-          index_t B1K1,
           index_t MPerXDL,
           index_t NPerXDL,
           index_t MXdlPerWave,

include/ck/tensor_operation/gpu/grid/gridwise_batched_dropout.hpp

@@ -343,6 +343,10 @@ struct GridwiseBatchedDropout
         auto acc0_thread_origin = s_blockwise_gemm.CalculateCThreadOriginDataIndex8D(
             Number<0>{}, Number<0>{}, Number<0>{}, Number<0>{});
 
+        auto acc0_thread_idx = Acc0TileIterator::GetIndex(I0) + acc0_thread_origin;
+        auto m_local         = block_idx_to_m_n_adaptor.CalculateBottomIndex(acc0_thread_idx)[I0];
+        auto n_local         = block_idx_to_m_n_adaptor.CalculateBottomIndex(acc0_thread_idx)[I1];
+
         // gemm0 M loop
         index_t gemm0_m_block_outer_index = num_gemm0_m_block_outer_loop - 1;
 
@@ -352,9 +356,6 @@ struct GridwiseBatchedDropout
                 __builtin_amdgcn_readfirstlane(gemm0_m_block_outer_index * MPerBlock);
 
             // save z to global
-            auto acc0_thread_idx = Acc0TileIterator::GetIndex(I0) + acc0_thread_origin;
-            auto m_local  = block_idx_to_m_n_adaptor.CalculateBottomIndex(acc0_thread_idx)[I0];
-            auto n_local  = block_idx_to_m_n_adaptor.CalculateBottomIndex(acc0_thread_idx)[I1];
             auto m_global = m_local + m_block_data_idx_on_grid;
             auto n_global = n_local + n_block_data_idx_on_grid;