tmp

library/include/ck/library/utility/check_err.hpp

@@ -23,18 +23,31 @@
 namespace ck {
 namespace utils {
 
-template <typename Range, typename RefRange>
-typename std::enable_if<
+struct CorrectnessValidator {
+public:
+    CorrectnessValidator(bool pass_if_no_instance = false) : pass_if_no_instance_{pass_if_no_instance}, 
+    found_supporting_instance_{false},
+        correct_results_{true} {
+
+    }
+
+    bool is_success() {
+        return (pass_if_no_instance_ || found_supporting_instance_) && correct_results_;
+    }
+
+    template <typename Range, typename RefRange>
+    typename std::enable_if<
         std::is_same_v<ranges::range_value_t<Range>, ranges::range_value_t<RefRange>> &&
             std::is_floating_point_v<ranges::range_value_t<Range>> &&
             !std::is_same_v<ranges::range_value_t<Range>, half_t>,
         bool>::type
-check_err(const Range& out,
+    check_err(const Range& out,
             const RefRange& ref,
             const std::string& msg = "Error: Incorrect results!",
             double rtol            = 1e-5,
             double atol            = 3e-6)
-{
+    {
+        found_supporting_instance_ = true;
         if(out.size() != ref.size())
         {
             std::cerr << msg << " out.size() != ref.size(), :" << out.size() << " != " << ref.size()
@@ -67,20 +80,22 @@ check_err(const Range& out,
         {
             std::cerr << std::setw(12) << std::setprecision(7) << "max err: " << max_err << std::endl;
         }
+        correct_results_ = correct_results_ && res;
         return res;
-}
+    }
 
-template <typename Range, typename RefRange>
-typename std::enable_if<
+    template <typename Range, typename RefRange>
+    typename std::enable_if<
         std::is_same_v<ranges::range_value_t<Range>, ranges::range_value_t<RefRange>> &&
             std::is_same_v<ranges::range_value_t<Range>, bhalf_t>,
         bool>::type
-check_err(const Range& out,
+    check_err(const Range& out,
             const RefRange& ref,
             const std::string& msg = "Error: Incorrect results!",
             double rtol            = 1e-3,
             double atol            = 1e-3)
-{
+    {
+        found_supporting_instance_ = true;
         if(out.size() != ref.size())
         {
             std::cerr << msg << " out.size() != ref.size(), :" << out.size() << " != " << ref.size()
@@ -114,20 +129,22 @@ check_err(const Range& out,
         {
             std::cerr << std::setw(12) << std::setprecision(7) << "max err: " << max_err << std::endl;
         }
+        correct_results_ = correct_results_ && res;
         return res;
-}
+    }
 
-template <typename Range, typename RefRange>
-typename std::enable_if<
+    template <typename Range, typename RefRange>
+    typename std::enable_if<
         std::is_same_v<ranges::range_value_t<Range>, ranges::range_value_t<RefRange>> &&
             std::is_same_v<ranges::range_value_t<Range>, half_t>,
         bool>::type
-check_err(const Range& out,
+    check_err(const Range& out,
             const RefRange& ref,
             const std::string& msg = "Error: Incorrect results!",
             double rtol            = 1e-3,
             double atol            = 1e-3)
-{
+    {
+        found_supporting_instance_ = true;
         if(out.size() != ref.size())
         {
             std::cerr << msg << " out.size() != ref.size(), :" << out.size() << " != " << ref.size()
@@ -160,24 +177,26 @@ check_err(const Range& out,
         {
             std::cerr << std::setw(12) << std::setprecision(7) << "max err: " << max_err << std::endl;
         }
+        correct_results_ = correct_results_ && res;
         return res;
-}
+    }
 
-template <typename Range, typename RefRange>
-std::enable_if_t<(std::is_same_v<ranges::range_value_t<Range>, ranges::range_value_t<RefRange>> &&
+    template <typename Range, typename RefRange>
+    std::enable_if_t<(std::is_same_v<ranges::range_value_t<Range>, ranges::range_value_t<RefRange>> &&
                     std::is_integral_v<ranges::range_value_t<Range>> &&
                     !std::is_same_v<ranges::range_value_t<Range>, bhalf_t>)
-#ifdef CK_EXPERIMENTAL_BIT_INT_EXTENSION_INT4
+    #ifdef CK_EXPERIMENTAL_BIT_INT_EXTENSION_INT4
                         || std::is_same_v<ranges::range_value_t<Range>, int4_t>
-#endif
+    #endif
                     ,
                     bool>
-check_err(const Range& out,
+    check_err(const Range& out,
             const RefRange& ref,
             const std::string& msg = "Error: Incorrect results!",
             double                 = 0,
             double atol            = 0)
-{
+    {
+        found_supporting_instance_ = true;
         if(out.size() != ref.size())
         {
             std::cerr << msg << " out.size() != ref.size(), :" << out.size() << " != " << ref.size()
@@ -211,7 +230,13 @@ check_err(const Range& out,
         {
             std::cerr << "max err: " << max_err << std::endl;
         }
+        correct_results_ = correct_results_ && res;
         return res;
+    }
+    private:
+        bool pass_if_no_instance_;
+        bool found_supporting_instance_;
+        bool correct_results_;
 }
 
 } // namespace utils

profiler/include/profiler/profile_batched_gemm_add_relu_gemm_add_impl.hpp

@@ -76,7 +76,7 @@ bool profile_batched_gemm_add_relu_gemm_add_impl(bool do_verification,
     using RefAcc0DataType = float;
     using RefAcc1DataType = float;
 
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     const int DefaultStrideA0 = ck::is_same_v<A0Layout, Row> ? K : M;
     const int DefaultStrideB0 = ck::is_same_v<B0Layout, Row> ? N : K;
@@ -331,7 +331,7 @@ bool profile_batched_gemm_add_relu_gemm_add_impl(bool do_verification,
             {
                 e1_g_m_o_device_buf.FromDevice(e1_g_m_o_device_result.mData.data());
 
-                pass = pass & ck::utils::check_err(e1_g_m_o_device_result, e1_g_m_o_host_result);
+                validator.check_err(e1_g_m_o_device_result, e1_g_m_o_host_result);
 
                 if(do_log)
                 {
@@ -353,7 +353,7 @@ bool profile_batched_gemm_add_relu_gemm_add_impl(bool do_verification,
     std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
               << best_gb_per_sec << " GB/s, " << best_op_name << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_batched_gemm_bias_softmax_gemm_permute_impl.hpp

@@ -83,7 +83,7 @@ bool profile_batched_gemm_bias_softmax_gemm_permute_impl(bool do_verification,
                                                                                 B1ElementOp,
                                                                                 CElementOp>;
 
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     // A layout [G0, M, G1, K]
     std::vector<ck::index_t> a_gs_ms_ks_lengths{G0, G1, M, K};
@@ -355,7 +355,7 @@ bool profile_batched_gemm_bias_softmax_gemm_permute_impl(bool do_verification,
                     atol = 1e-2;
                 }
 
-                pass = pass & ck::utils::check_err(c_gs_ms_os_device_result,
+                validator.check_err(c_gs_ms_os_device_result,
                                                    c_gs_ms_os_host_result,
                                                    "Error: Incorrect results!",
                                                    rtol,
@@ -388,7 +388,7 @@ bool profile_batched_gemm_bias_softmax_gemm_permute_impl(bool do_verification,
     std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
               << best_gb_per_sec << " GB/s, " << best_op_name << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_batched_gemm_gemm_impl.hpp

@@ -78,7 +78,7 @@ bool profile_batched_gemm_gemm_impl(bool do_verification,
                                                                                 B1ElementOp,
                                                                                 CElementOp>;
 
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     const int DefaultStrideA  = ck::is_same_v<ALayout, Row> ? K : M;
     const int DefaultStrideB0 = ck::is_same_v<B0Layout, Row> ? N : K;
@@ -284,7 +284,7 @@ bool profile_batched_gemm_gemm_impl(bool do_verification,
             {
                 c_g_m_o_device_buf.FromDevice(c_g_m_o_device_result.mData.data());
 
-                pass = pass & ck::utils::check_err(c_g_m_o_device_result, c_g_m_o_host_result);
+                validator.check_err(c_g_m_o_device_result, c_g_m_o_host_result);
 
                 if(do_log)
                 {
@@ -312,7 +312,7 @@ bool profile_batched_gemm_gemm_impl(bool do_verification,
     std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
               << best_gb_per_sec << " GB/s, " << best_op_name << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_batched_gemm_impl.hpp

@@ -49,7 +49,7 @@ bool profile_batched_gemm_impl(int do_verification,
                                int StrideC,
                                int BatchCount)
 {
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     auto f_host_tensor_descriptor = [](std::size_t batch_count,
                                        std::size_t row,
@@ -234,7 +234,7 @@ bool profile_batched_gemm_impl(int do_verification,
             {
                 c_device_buf.FromDevice(c_g_m_n_device_result.mData.data());
 
-                pass = pass & ck::utils::check_err(c_g_m_n_device_result, c_g_m_n_host_result);
+                validator.check_err(c_g_m_n_device_result, c_g_m_n_host_result);
 
                 if(do_log)
                 {
@@ -257,7 +257,7 @@ bool profile_batched_gemm_impl(int do_verification,
     std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
               << best_gb_per_sec << " GB/s, " << best_op_name << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_batched_gemm_reduce_impl.hpp

@@ -72,7 +72,7 @@ bool profile_batched_gemm_reduce_impl(int do_verification,
                                       int StrideC,
                                       int BatchCount)
 {
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     auto f_host_tensor_descriptor = [](std::size_t batch_count,
                                        std::size_t row,
@@ -316,13 +316,9 @@ bool profile_batched_gemm_reduce_impl(int do_verification,
                 reduce0_device_buf.FromDevice(d0_g_m_device_result.mData.data());
                 reduce1_device_buf.FromDevice(d1_g_m_device_result.mData.data());
 
-                bool c_error  = ck::utils::check_err(c_g_m_n_device_result, c_g_m_n_host_result);
-                bool d0_error = ck::utils::check_err(d0_g_m_device_result, d0_g_m_host_result);
-                bool d1_error = ck::utils::check_err(d1_g_m_device_result, d1_g_m_host_result);
-
-                pass = pass && (c_error == true);
-                pass = pass && (d0_error == true);
-                pass = pass && (d1_error == true);
+                validator.check_err(c_g_m_n_device_result, c_g_m_n_host_result);
+                validator.check_err(d0_g_m_device_result, d0_g_m_host_result);
+                validator.check_err(d1_g_m_device_result, d1_g_m_host_result);
 
                 if(do_log)
                 {
@@ -355,7 +351,7 @@ bool profile_batched_gemm_reduce_impl(int do_verification,
     std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
               << best_gb_per_sec << " GB/s, " << best_gemm_name << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_batched_gemm_softmax_gemm_impl.hpp

@@ -86,7 +86,7 @@ bool profile_batched_gemm_softmax_gemm_impl(bool do_verification,
                                                                                 B1ElementOp,
                                                                                 CElementOp>;
 
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     const int DefaultStrideA  = ck::is_same_v<ALayout, Row> ? K : M;
     const int DefaultStrideB0 = ck::is_same_v<B0Layout, Row> ? N : K;
@@ -312,7 +312,7 @@ bool profile_batched_gemm_softmax_gemm_impl(bool do_verification,
             {
                 c_g_m_o_device_buf.FromDevice(c_g_m_o_device_result.mData.data());
 
-                pass = pass & ck::utils::check_err(c_g_m_o_device_result, c_g_m_o_host_result);
+                validator.check_err(c_g_m_o_device_result, c_g_m_o_host_result);
 
                 if(do_log)
                 {
@@ -340,7 +340,7 @@ bool profile_batched_gemm_softmax_gemm_impl(bool do_verification,
     std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
               << best_gb_per_sec << " GB/s, " << best_op_name << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_batched_gemm_softmax_gemm_permute_impl.hpp

@@ -81,7 +81,7 @@ bool profile_batched_gemm_softmax_gemm_permute_impl(bool do_verification,
                                                                                 B1ElementOp,
                                                                                 CElementOp>;
 
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     // A layout [G0, M, G1, K]
     std::vector<ck::index_t> a_gs_ms_ks_lengths{G0, G1, M, K};
@@ -327,7 +327,7 @@ bool profile_batched_gemm_softmax_gemm_permute_impl(bool do_verification,
                     atol = 1e-2;
                 }
 
-                pass = pass & ck::utils::check_err(c_gs_ms_os_device_result,
+                validator.check_err(c_gs_ms_os_device_result,
                                                    c_gs_ms_os_host_result,
                                                    "Error: Incorrect results!",
                                                    rtol,
@@ -360,7 +360,7 @@ bool profile_batched_gemm_softmax_gemm_permute_impl(bool do_verification,
     std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
               << best_gb_per_sec << " GB/s, " << best_op_name << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_batchnorm_backward_impl.hpp

@@ -265,7 +265,7 @@ bool profile_batchnorm_backward_impl(bool do_verification,
     }
 
     int num_kernel = 0;
-    bool pass      = true;
+ck::utils::CorrectnessValidator validator;
 
     for(auto& inst_ptr : instance_ptrs)
     {
@@ -340,20 +340,17 @@ bool profile_batchnorm_backward_impl(bool do_verification,
 
         if(do_verification)
         {
-            using ck::utils::check_err;
-            bool single_pass = true;
+            using ck::utils;
 
             dx_dev.FromDevice(dx.mData.data());
             dscale_dev.FromDevice(dscale.data());
             dbias_dev.FromDevice(dbias.data());
 
             // clang-format off
-            single_pass = single_pass && ck::utils::check_err(dx.mData, dx_ref.mData, "dx result:", 5e-4, 5e-4);
-            single_pass = single_pass && ck::utils::check_err(dscale.mData, dscale_ref.mData, "dScale result:", 3e-3, 3e-3);
-            single_pass = single_pass && ck::utils::check_err(dbias.mData, dbias_ref.mData, "dBias result:", 3e-3, 3e-3);
+            validator.check_err(dx.mData, dx_ref.mData, "dx result:", 5e-4, 5e-4);
+            validator.check_err(dscale.mData, dscale_ref.mData, "dScale result:", 3e-3, 3e-3);
+            validator.check_err(dbias.mData, dbias_ref.mData, "dBias result:", 3e-3, 3e-3);
             // clang-format on
-
-            pass = pass && single_pass;
         };
 
         if(do_dumpout)
@@ -383,7 +380,7 @@ bool profile_batchnorm_backward_impl(bool do_verification,
         return false;
     }
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_batchnorm_forward_impl.hpp

@@ -259,7 +259,7 @@ bool profile_batchnorm_forward_impl(int do_verification,
     }
 
     int num_kernel = 0;
-    bool pass      = true;
+ck::utils::CorrectnessValidator validator;
 
     for(auto& inst_ptr : instance_ptrs)
     {
@@ -336,15 +336,15 @@ bool profile_batchnorm_forward_impl(int do_verification,
 
         if(do_verification)
         {
-            using ck::utils::check_err;
+            using ck::utils;
             bool single_pass;
 
             y_dev.FromDevice(y.mData.data());
 
             if constexpr(ck::is_same_v<YDataType, ck::bhalf_t>)
-                single_pass = check_err(y.mData, y_ref.mData, "y results", 1e-2, 1e-2);
+                check_err(y.mData, y_ref.mData, "y results", 1e-2, 1e-2);
             else
-                single_pass = check_err(y.mData, y_ref.mData, "y results", 4e-3, 4e-3);
+                check_err(y.mData, y_ref.mData, "y results", 4e-3, 4e-3);
 
             if(updateMovingAverage)
             {
@@ -352,8 +352,8 @@ bool profile_batchnorm_forward_impl(int do_verification,
                 resultRunningVariance_dev.FromDevice(resultRunningVariance.mData.data());
 
                 // clang-format off
-                single_pass = single_pass && check_err(resultRunningMean.mData, resultRunningMean_ref.mData, "average mean results", 1.5e-5, 1.5e-5);
-                single_pass = single_pass && check_err(resultRunningVariance.mData, resultRunningVariance_ref.mData, "average variance results", 1e-5, 1e-5);
+                check_err(resultRunningMean.mData, resultRunningMean_ref.mData, "average mean results", 1.5e-5, 1.5e-5);
+                 check_err(resultRunningVariance.mData, resultRunningVariance_ref.mData, "average variance results", 1e-5, 1e-5);
                 // clang-format on
             };
 
@@ -363,12 +363,11 @@ bool profile_batchnorm_forward_impl(int do_verification,
                 resultSaveInvVariance_dev.FromDevice(resultSaveInvVariance.mData.data());
 
                 // clang-format off
-                single_pass = single_pass && check_err(resultSaveMean.mData, resultSaveMean_ref.mData, "mean results", 3e-5, 3e-5);
-                single_pass = single_pass && check_err(resultSaveInvVariance.mData, resultSaveInvVariance_ref.mData, "inv-variance results", 7e-5, 7e-5);
+                 check_err(resultSaveMean.mData, resultSaveMean_ref.mData, "mean results", 3e-5, 3e-5);
+                check_err(resultSaveInvVariance.mData, resultSaveInvVariance_ref.mData, "inv-variance results", 7e-5, 7e-5);
                 // clang-format on
             };
 
-            pass = pass && single_pass;
         };
 
         if(do_dumpout)
@@ -405,7 +404,7 @@ bool profile_batchnorm_forward_impl(int do_verification,
         return false;
     }
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_batchnorm_infer_impl.hpp

@@ -231,7 +231,7 @@ bool profile_batchnorm_infer_impl(int do_verification,
     }
 
     int num_kernel = 0;
-    bool pass      = true;
+ck::utils::CorrectnessValidator validator;
 
     for(auto& inst_ptr : instance_ptrs)
     {
@@ -291,17 +291,15 @@ bool profile_batchnorm_infer_impl(int do_verification,
 
         if(do_verification)
         {
-            using ck::utils::check_err;
-            bool single_pass;
+            using ck::utils;
 
             y_dev.FromDevice(y.mData.data());
 
             if constexpr(ck::is_same_v<YDataType, ck::bhalf_t>)
-                single_pass = check_err(y.mData, y_ref.mData, "y results", 1e-2, 1e-2);
+                check_err(y.mData, y_ref.mData, "y results", 1e-2, 1e-2);
             else
-                single_pass = check_err(y.mData, y_ref.mData, "y results", 4e-3, 4e-3);
+                check_err(y.mData, y_ref.mData, "y results", 4e-3, 4e-3);
 
-            pass = pass && single_pass;
         };
 
         if(do_dumpout)
@@ -328,7 +326,7 @@ bool profile_batchnorm_infer_impl(int do_verification,
         return false;
     }
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_contraction_impl.hpp

@@ -50,7 +50,7 @@ int profile_contraction_impl(ck::index_t do_verification,
                              const std::vector<ck::index_t>& StridesE,
                              const std::vector<ck::index_t>& StridesD)
 {
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     auto f_host_tensor_descriptor = [](const std::vector<ck::index_t>& dims01,
                                        const std::vector<ck::index_t>& dims23,
@@ -274,7 +274,7 @@ int profile_contraction_impl(ck::index_t do_verification,
 
                 float threshold =
                     static_cast<DataType>(nelems_k) * std::numeric_limits<DataType>::epsilon();
-                pass = pass & ck::utils::check_err(e_m_n_device_result,
+                validator.check_err(e_m_n_device_result,
                                                    e_m_n_host_result,
                                                    "Error: incorrect results!",
                                                    threshold,
@@ -338,7 +338,7 @@ int profile_contraction_impl(ck::index_t do_verification,
               << " ms, " << best_tflops << " TFlops, " << best_gb_per_sec << " GB/s, "
               << best_op_name << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_conv_bwd_data_impl.hpp

@@ -153,7 +153,7 @@ bool profile_conv_bwd_data_impl(int do_verification,
     float best_gb_per_sec = 0;
 
     // profile device Conv instances
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     for(auto& op_ptr : op_ptrs)
     {
@@ -209,7 +209,7 @@ bool profile_conv_bwd_data_impl(int do_verification,
             {
                 in_device_buf.FromDevice(input_device_result.mData.data());
 
-                pass = pass & ck::utils::check_err(input_device_result, input_host_result);
+                validator.check_err(input_device_result, input_host_result);
 
                 if(do_log)
                 {
@@ -241,7 +241,7 @@ bool profile_conv_bwd_data_impl(int do_verification,
               << "\nname: " << best_op_name << "\navg_time: " << best_avg_time
               << "\ntflops: " << best_tflops << "\nGB/s: " << best_gb_per_sec << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_conv_fwd_bias_relu_add_impl.hpp

@@ -193,6 +193,8 @@ void profile_conv_fwd_bias_relu_add_impl(int do_verification,
     float best_tflops     = 0;
     float best_gb_per_sec = 0;
 
+ck::utils::CorrectnessValidator validator;
+
     // profile device Conv instances
     for(auto& op_ptr : op_ptrs)
     {
@@ -251,7 +253,8 @@ void profile_conv_fwd_bias_relu_add_impl(int do_verification,
             {
                 out_device_buf.FromDevice(out_n_k_ho_wo_device_result.mData.data());
 
-                ck::utils::check_err(out_n_k_ho_wo_device_result, out_n_k_ho_wo_host_result);
+                validator.check_err(out_n_k_ho_wo_device_result, out_n_k_ho_wo_host_result);
+                validator.is_success();
 
                 if(do_log)
                 {

profiler/include/profiler/profile_conv_fwd_bias_relu_impl.hpp

@@ -183,6 +183,8 @@ void profile_conv_fwd_bias_relu_impl(int do_verification,
     float best_tflops     = 0;
     float best_gb_per_sec = 0;
 
+ck::utils::CorrectnessValidator validator;
+
     // profile device Conv instances
     for(auto& op_ptr : op_ptrs)
     {
@@ -239,7 +241,8 @@ void profile_conv_fwd_bias_relu_impl(int do_verification,
             {
                 out_device_buf.FromDevice(out_n_k_ho_wo_device_result.mData.data());
 
-                ck::utils::check_err(out_n_k_ho_wo_device_result, out_n_k_ho_wo_host_result);
+                validator.check_err(out_n_k_ho_wo_device_result, out_n_k_ho_wo_host_result);
+                validator.is_success();
 
                 if(do_log)
                 {

profiler/include/profiler/profile_conv_fwd_impl.hpp

@@ -135,7 +135,7 @@ bool profile_conv_fwd_impl(int do_verification,
     float best_gb_per_sec = 0;
 
     // profile device op instances
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     for(auto& op_ptr : op_ptrs)
     {
@@ -191,7 +191,7 @@ bool profile_conv_fwd_impl(int do_verification,
             {
                 out_device_buf.FromDevice(device_output.mData.data());
 
-                pass = pass & ck::utils::check_err(device_output, host_output);
+                validator.check_err(device_output, host_output);
 
                 if(do_log)
                 {
@@ -214,7 +214,7 @@ bool profile_conv_fwd_impl(int do_verification,
               << "\nname: " << best_op_name << "\navg_time: " << best_avg_time
               << "\ntflops: " << best_tflops << "\nGB/s: " << best_gb_per_sec << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_elementwise_layernorm_impl.hpp

@@ -164,6 +164,7 @@ bool profile_elementwise_layernorm_impl(int do_verification,
     }
 
     int num_kernel = 0;
+ck::utils::CorrectnessValidator validator;
 
     for(auto& inst_ptr : instance_ptrs)
     {
@@ -221,8 +222,7 @@ bool profile_elementwise_layernorm_impl(int do_verification,
         {
             y_dev.FromDevice(y.mData.data());
 
-            bool pass =
-                ck::utils::check_err(y.mData, host_y.mData, "Error: Incorrect results", 1e-3, 1e-3);
+                validator.check_err(y.mData, host_y.mData, "Error: Incorrect results", 1e-3, 1e-3);
 
             if(do_log)
             {
@@ -232,7 +232,7 @@ bool profile_elementwise_layernorm_impl(int do_verification,
                 LogRangeAsType<float>(std::cout << "y  : ", y.mData, ",") << std::endl;
             }
 
-            if(!pass)
+            if(!validator.is_success())
             {
                 std::cout << inst_ptr->GetTypeString() << " failed verification: ";
                 LogRange(std::cout << "lengths = [", length, ", ") << "]." << std::endl;
@@ -253,13 +253,7 @@ bool profile_elementwise_layernorm_impl(int do_verification,
                   << best_gb_per_sec << " GB/s, " << best_instance_name << std::endl;
     }
 
-    if(num_kernel == 0)
-    {
-        std::cout << "Error: No kernel is tested" << std::endl;
-        return false;
-    }
-
-    return true;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_gemm_add_add_fastgelu_impl.hpp

@@ -165,7 +165,7 @@ bool profile_gemm_add_add_fastgelu_impl(int do_verification,
     float best_tflops     = 0;
     float best_gb_per_sec = 0;
 
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     // profile device operation instances
     for(auto& op_ptr : op_ptrs)
@@ -223,7 +223,7 @@ bool profile_gemm_add_add_fastgelu_impl(int do_verification,
             {
                 e_device_buf.FromDevice(e_m_n_device_result.mData.data());
 
-                pass = pass && ck::utils::check_err(e_m_n_device_result, e_m_n_host_result);
+                validator.check_err(e_m_n_device_result, e_m_n_host_result);
             }
         }
         else
@@ -235,7 +235,7 @@ bool profile_gemm_add_add_fastgelu_impl(int do_verification,
     std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
               << best_gb_per_sec << " GB/s, " << best_op_name << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_gemm_add_fastgelu_impl.hpp

@@ -156,7 +156,7 @@ bool profile_gemm_add_fastgelu_impl(int do_verification,
     float best_tflops     = 0;
     float best_gb_per_sec = 0;
 
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     // profile device operation instances
     for(auto& op_ptr : op_ptrs)
@@ -213,7 +213,7 @@ bool profile_gemm_add_fastgelu_impl(int do_verification,
             {
                 e_device_buf.FromDevice(e_m_n_device_result.mData.data());
 
-                pass = pass && ck::utils::check_err(e_m_n_device_result, e_m_n_host_result);
+                validator.check_err(e_m_n_device_result, e_m_n_host_result);
             }
         }
         else
@@ -225,7 +225,7 @@ bool profile_gemm_add_fastgelu_impl(int do_verification,
     std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
               << best_gb_per_sec << " GB/s, " << best_op_name << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler

profiler/include/profiler/profile_gemm_add_multiply_impl.hpp

@@ -165,7 +165,7 @@ bool profile_gemm_add_multiply_impl(int do_verification,
     float best_tflops     = 0;
     float best_gb_per_sec = 0;
 
-    bool pass = true;
+ck::utils::CorrectnessValidator validator;
 
     // profile device operation instances
     for(auto& op_ptr : op_ptrs)
@@ -222,8 +222,7 @@ bool profile_gemm_add_multiply_impl(int do_verification,
             if(do_verification)
             {
                 e_device_buf.FromDevice(e_m_n_device_result.mData.data());
-
-                pass = pass && ck::utils::check_err(e_m_n_device_result, e_m_n_host_result);
+                validator.check_err(e_m_n_device_result, e_m_n_host_result);
             }
         }
         else
@@ -235,7 +234,7 @@ bool profile_gemm_add_multiply_impl(int do_verification,
     std::cout << "Best Perf: " << best_ave_time << " ms, " << best_tflops << " TFlops, "
               << best_gb_per_sec << " GB/s, " << best_op_name << std::endl;
 
-    return pass;
+    return validator.is_success();
 }
 
 } // namespace profiler