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Improved launch config for layer-norm/rms-norm.
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@ -70,10 +70,9 @@ static __device__ __forceinline__ float warp_reduce_sum(float x) {
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// LayerNorm implementation adapted from ggml, accumulation is made using f32.
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// https://github.com/ggerganov/llama.cpp/blob/d59bd97065cd7ded6c4ecab54b1d5e0b1b11e318/ggml-cuda.cu#L477
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template <typename T>
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__device__ void layernorm(const T * x, T * dst, const T * alpha, const T * beta, const int ncols, const float eps) {
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__device__ void layernorm(const T * x, T * dst, const T * alpha, const T * beta, const int ncols, const int block_size, const float eps) {
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const int row = blockIdx.x*blockDim.y + threadIdx.y;
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const int tid = threadIdx.x;
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const int block_size = blockDim.x;
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float2 mean_var = make_float2(0.f, 0.f);
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@ -134,10 +133,9 @@ __device__ void layernorm(const T * x, T * dst, const T * alpha, const T * beta,
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// RmsNorm implementation adapted from ggml, accumulation is made using f32.
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// https://github.com/ggerganov/llama.cpp/blob/d59bd97065cd7ded6c4ecab54b1d5e0b1b11e318/ggml-cuda.cu#L523
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template <typename T>
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__device__ void rmsnorm(const T * x, T * dst, const T * alpha, const int ncols, const float eps) {
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__device__ void rmsnorm(const T * x, T * dst, const T * alpha, const int ncols, const int block_size, const float eps) {
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const int row = blockIdx.x*blockDim.y + threadIdx.y;
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const int tid = threadIdx.x;
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const int block_size = blockDim.x;
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float tmp = 0.0f; // partial sum for thread in warp
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@ -530,15 +528,15 @@ fast_argmax(const size_t src_numel, const size_t el_to_sum_per_block,
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#define RMSNORM_OP(TYPENAME, FN_NAME) \
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extern "C" __global__ void FN_NAME( \
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const TYPENAME *src, TYPENAME *dst, const TYPENAME *alpha, \
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const int n_cols, const float eps) { \
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rmsnorm<TYPENAME>(src, dst, alpha, n_cols, eps); \
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const int n_cols, const int block_size, const float eps) { \
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rmsnorm<TYPENAME>(src, dst, alpha, n_cols, block_size, eps); \
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} \
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#define LAYERNORM_OP(TYPENAME, FN_NAME) \
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extern "C" __global__ void FN_NAME( \
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const TYPENAME *src, TYPENAME *dst, const TYPENAME *alpha, \
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const TYPENAME *beta, const int n_cols, const float eps) { \
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layernorm<TYPENAME>(src, dst, alpha, beta, n_cols, eps); \
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const TYPENAME *beta, const int n_cols, const int block_size, const float eps) { \
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layernorm<TYPENAME>(src, dst, alpha, beta, n_cols, block_size, eps); \
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} \
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#define ROPE_OP(TYPENAME, FN_NAME, FN_NAME_I, FN_NAME_THD) \
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