Fixes

example/61_conv_fwd_activ/convnd_fwd_activ_common.hpp

@@ -94,14 +94,6 @@ using DeviceGroupedConvNDFwdInstance =
         S<1, 32, 1, 8>,
         8>;
 
-void print_helper_msg()
-{
-    std::cout << "arg1: verification (0=no, 1=yes)\n"
-              << "arg2: initialization (0=no init, 1=integer value, 2=decimal value)\n"
-              << "arg3: time kernel (0=no, 1=yes)\n"
-              << ck::utils::conv::get_conv_param_parser_helper_msg() << std::endl;
-}
-
 template <ck::index_t NDimSpatial,
           typename InDataType,
           typename WeiDataType,

example/61_conv_fwd_activ/convnd_fwd_xdl_abs_fp16.cpp

@@ -8,4 +8,4 @@ using OutElementOp = ck::tensor_operation::element_wise::UnaryAbs;
 using DeviceGroupedConvNDFwdActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
 #include "run_convnd_fwd_activ_example.inc"
 
-int main(int argc, char* argv[]) { return run_convnd_fwd_example(argc, argv) ? 0 : 1; }
+int main(int argc, char* argv[]) { return !run_convnd_fwd_example(argc, argv); }

example/61_conv_fwd_activ/convnd_fwd_xdl_clippedrelu_fp16.cpp

@@ -8,4 +8,4 @@ using OutElementOp = ck::tensor_operation::element_wise::ClippedRelu;
 using DeviceGroupedConvNDFwdActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
 #include "run_convnd_fwd_activ_example.inc"
 
-int main(int argc, char* argv[]) { return run_convnd_fwd_example(argc, argv) ? 0 : 1; }
+int main(int argc, char* argv[]) { return !run_convnd_fwd_example(argc, argv); }

example/61_conv_fwd_activ/convnd_fwd_xdl_elu_fp16.cpp

@@ -8,4 +8,4 @@ using OutElementOp = ck::tensor_operation::element_wise::Elu;
 using DeviceGroupedConvNDFwdActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
 #include "run_convnd_fwd_activ_example.inc"
 
-int main(int argc, char* argv[]) { return run_convnd_fwd_example(argc, argv) ? 0 : 1; }
+int main(int argc, char* argv[]) { return !run_convnd_fwd_example(argc, argv); }

example/61_conv_fwd_activ/convnd_fwd_xdl_leakyrelu_fp16.cpp

@@ -8,4 +8,4 @@ using OutElementOp = ck::tensor_operation::element_wise::LeakyRelu;
 using DeviceGroupedConvNDFwdActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
 #include "run_convnd_fwd_activ_example.inc"
 
-int main(int argc, char* argv[]) { return run_convnd_fwd_example(argc, argv) ? 0 : 1; }
+int main(int argc, char* argv[]) { return !run_convnd_fwd_example(argc, argv); }

example/61_conv_fwd_activ/convnd_fwd_xdl_pow_fp16.cpp

@@ -8,4 +8,4 @@ using OutElementOp = ck::tensor_operation::element_wise::Power;
 using DeviceGroupedConvNDFwdActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
 #include "run_convnd_fwd_activ_example.inc"
 
-int main(int argc, char* argv[]) { return run_convnd_fwd_example(argc, argv) ? 0 : 1; }
+int main(int argc, char* argv[]) { return !run_convnd_fwd_example(argc, argv); }

example/61_conv_fwd_activ/convnd_fwd_xdl_relu_fp16.cpp

@@ -8,4 +8,4 @@ using OutElementOp = ck::tensor_operation::element_wise::Relu;
 using DeviceGroupedConvNDFwdActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
 #include "run_convnd_fwd_activ_example.inc"
 
-int main(int argc, char* argv[]) { return run_convnd_fwd_example(argc, argv) ? 0 : 1; }
+int main(int argc, char* argv[]) { return !run_convnd_fwd_example(argc, argv); }

example/61_conv_fwd_activ/convnd_fwd_xdl_sigmoid_fp16.cpp

@@ -8,4 +8,4 @@ using OutElementOp = ck::tensor_operation::element_wise::Sigmoid;
 using DeviceGroupedConvNDFwdActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
 #include "run_convnd_fwd_activ_example.inc"
 
-int main(int argc, char* argv[]) { return run_convnd_fwd_example(argc, argv) ? 0 : 1; }
+int main(int argc, char* argv[]) { return !run_convnd_fwd_example(argc, argv); }

example/61_conv_fwd_activ/convnd_fwd_xdl_softrelu_fp16.cpp

@@ -8,4 +8,4 @@ using OutElementOp = ck::tensor_operation::element_wise::SoftRelu;
 using DeviceGroupedConvNDFwdActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
 #include "run_convnd_fwd_activ_example.inc"
 
-int main(int argc, char* argv[]) { return run_convnd_fwd_example(argc, argv) ? 0 : 1; }
+int main(int argc, char* argv[]) { return !run_convnd_fwd_example(argc, argv); }

example/61_conv_fwd_activ/convnd_fwd_xdl_tanh_fp16.cpp

@@ -8,4 +8,4 @@ using OutElementOp = ck::tensor_operation::element_wise::TanH;
 using DeviceGroupedConvNDFwdActivInstance = DeviceGroupedConvNDFwdInstance<OutElementOp>;
 #include "run_convnd_fwd_activ_example.inc"
 
-int main(int argc, char* argv[]) { return run_convnd_fwd_example(argc, argv) ? 0 : 1; }
+int main(int argc, char* argv[]) { return !run_convnd_fwd_example(argc, argv); }

example/61_conv_fwd_activ/run_convnd_fwd_activ_example.inc

@@ -3,6 +3,14 @@
 
 #pragma once
 
+void print_helper_msg()
+{
+    std::cout << "arg1: verification (0=no, 1=yes)\n"
+              << "arg2: initialization (0=no init, 1=integer value, 2=decimal value)\n"
+              << "arg3: time kernel (0=no, 1=yes)\n"
+              << ck::utils::conv::get_conv_param_parser_helper_msg() << std::endl;
+}
+
 bool run_convnd_fwd_example(int argc, char* argv[])
 {
     print_helper_msg();
@@ -79,5 +87,5 @@ bool run_convnd_fwd_example(int argc, char* argv[])
         return run();
     }
 
-    return true;
+    return false;
 }

include/ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp

@@ -451,8 +451,8 @@ struct Sigmoid
                           is_same<T, ck::half_t>::value || is_same<T, int8_t>::value ||
                           is_same<T, int32_t>::value,
                       "Data type is not supported by this operation!");
-        constexpr T one{1};
-        y = one / (ck::type_convert<T>(one) + ck::math::exp(-x));
+        constexpr T one = type_convert<T>(1);
+        y               = one / (ck::type_convert<T>(one) + ck::math::exp(-x));
     };
 };
 
@@ -489,7 +489,7 @@ struct Swish
         y        = type_convert<Y>(x / (1.f + ck::math::exp(bx)));
     };
 
-    float beta_ = 1.0f;
+    const float beta_;
 };
 
 struct SoftRelu
@@ -503,11 +503,11 @@ struct SoftRelu
                           is_same<T, half_t>::value || is_same<T, int32_t>::value ||
                           is_same<T, int8_t>::value,
                       "Data type is not supported by this operation!");
-        T casted_alpha = type_convert<T>(alpha_);
-        constexpr T one{1};
-        y = ck::math::log(one + ck::math::exp(x * casted_alpha)) / casted_alpha;
+        T casted_alpha  = type_convert<T>(alpha_);
+        constexpr T one = type_convert<T>(1);
+        y               = ck::math::log(one + ck::math::exp(x * casted_alpha)) / casted_alpha;
     }
-    float alpha_;
+    const float alpha_;
 };
 
 struct Power
@@ -528,9 +528,9 @@ struct Power
         T shifted_scaled_x = casted_alpha + casted_beta * x;
         y                  = ck::math::pow(shifted_scaled_x, casted_gamma);
     }
-    float alpha_;
-    float beta_;
-    float gamma_;
+    const float alpha_;
+    const float beta_;
+    const float gamma_;
 };
 
 struct ClippedRelu
@@ -548,8 +548,8 @@ struct ClippedRelu
         T casted_beta  = type_convert<T>(beta_);
         y              = ck::math::min(casted_beta, ck::math::max(casted_alpha, x));
     }
-    float alpha_;
-    float beta_;
+    const float alpha_;
+    const float beta_;
 };
 
 struct LeakyRelu
@@ -566,7 +566,7 @@ struct LeakyRelu
         T casted_alpha = type_convert<T>(alpha_);
         y              = x >= 0 ? x : x * casted_alpha;
     }
-    float alpha_;
+    const float alpha_;
 };
 
 struct Elu
@@ -583,7 +583,7 @@ struct Elu
         T casted_alpha = type_convert<T>(alpha_);
         y              = x > 0 ? x : casted_alpha * ck::math::expm1(x);
     }
-    float alpha_;
+    const float alpha_;
 };
 
 } // namespace element_wise