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Commit ec07718a authored by AMD-dteng's avatar AMD-dteng
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include/ck_tile/host/reference/reference_layernorm2d_fwd.hpp
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...@@ -59,11 +59,6 @@ void reference_layernorm2d_fwd(const HostTensor<XDataType>& x_m_n, ...@@ -59,11 +59,6 @@ void reference_layernorm2d_fwd(const HostTensor<XDataType>& x_m_n,
{ {
++count; ++count;
ComputeDataType x = ck_tile::type_convert<ComputeDataType>(x_m_n(m, n)); ComputeDataType x = ck_tile::type_convert<ComputeDataType>(x_m_n(m, n));
// printf("dteng_ck_print::x_pre[%lu][%d] = %f\n",m,n,x);
// printf("dteng_ck_print::gamma_n[0][%d] = %f\n",n,ck_tile::type_convert<ComputeDataType>(gamma_n(n)));
// x = x + ck_tile::type_convert<ComputeDataType>(bias_n(n));
// x_m_n(m, n) = ck_tile::type_convert<XDataType>(x);
// printf("dteng_ck_print::x_post[%lu][%d] = %f\n",m,n,x);
ComputeDataType delta = x - mean; ComputeDataType delta = x - mean;
mean += delta / count; mean += delta / count;
ComputeDataType delta2 = x - mean; ComputeDataType delta2 = x - mean;
...@@ -90,10 +85,6 @@ void reference_layernorm2d_fwd(const HostTensor<XDataType>& x_m_n, ...@@ -90,10 +85,6 @@ void reference_layernorm2d_fwd(const HostTensor<XDataType>& x_m_n,
a_ = a_ * gamma + beta; a_ = a_ * gamma + beta;
acc(m, n) = a_; acc(m, n) = a_;
// printf("dteng_ck_print::mean[%lu][%d] = %f\n",m,n,mean);
// printf("dteng_ck_print::gamma[%lu][%d] = %f\n",m,n,gamma);
// printf("dteng_ck_print::beta[%lu][%d] = %f\n",m,n,beta);
// printf("dteng_ck_print::acc[%lu][%d] = %f\n",m,n,a_);
} }
epilogue_functor(m, y_m_n, acc); epilogue_functor(m, y_m_n, acc);
......
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