From b333b06772c89d96aacb5490d6a219fba7c09cc6 Mon Sep 17 00:00:00 2001 From: Mitja Felicijan Date: Thu, 12 Feb 2026 20:57:17 +0100 Subject: Engage! --- llama.cpp/ggml/src/ggml-cuda/unary.cuh | 110 +++++++++++++++++++++++++++++++++ 1 file changed, 110 insertions(+) create mode 100644 llama.cpp/ggml/src/ggml-cuda/unary.cuh (limited to 'llama.cpp/ggml/src/ggml-cuda/unary.cuh') diff --git a/llama.cpp/ggml/src/ggml-cuda/unary.cuh b/llama.cpp/ggml/src/ggml-cuda/unary.cuh new file mode 100644 index 0000000..609046e --- /dev/null +++ b/llama.cpp/ggml/src/ggml-cuda/unary.cuh @@ -0,0 +1,110 @@ +#pragma once +#include "common.cuh" + +#define CUDA_NEG_BLOCK_SIZE 256 +#define CUDA_STEP_BLOCK_SIZE 256 +#define CUDA_GELU_BLOCK_SIZE 256 +#define CUDA_SILU_BLOCK_SIZE 256 +#define CUDA_SILU_BACK_BLOCK_SIZE 256 +#define CUDA_TANH_BLOCK_SIZE 256 +#define CUDA_RELU_BLOCK_SIZE 256 +#define CUDA_SIGMOID_BLOCK_SIZE 256 +#define CUDA_HARDSIGMOID_BLOCK_SIZE 256 +#define CUDA_EXP_BLOCK_SIZE 256 +#define CUDA_HARDSWISH_BLOCK_SIZE 256 +#define CUDA_SQR_BLOCK_SIZE 256 +#define CUDA_SQRT_BLOCK_SIZE 256 +#define CUDA_SIN_BLOCK_SIZE 256 +#define CUDA_COS_BLOCK_SIZE 256 +#define CUDA_GLU_BLOCK_SIZE 256 +#define CUDA_XIELU_BLOCK_SIZE 256 + +void ggml_cuda_op_abs(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_sgn(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_neg(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_step(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_gelu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_silu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_silu_back(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_gelu_erf(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_gelu_quick(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_tanh(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_relu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_sigmoid(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_hardsigmoid(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_exp(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_hardswish(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_leaky_relu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_sqr(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_sqrt(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_sin(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_cos(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_log(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_expm1(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_softplus(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_elu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_floor(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_ceil(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_round(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_trunc(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_reglu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_geglu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_swiglu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_swiglu_oai(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_geglu_erf(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_geglu_quick(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_xielu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +__device__ __forceinline__ float ggml_cuda_op_silu_single(float x) { + return x / (1.0f + expf(-x)); +} + +__device__ __forceinline__ float ggml_cuda_op_gelu_single(float x) { + const float GELU_COEF_A = 0.044715f; + const float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f; + + return 0.5f * x * (1.0f + tanhf(SQRT_2_OVER_PI * x * (1.0f + GELU_COEF_A * x * x))); +} + +__device__ __forceinline__ float ggml_cuda_op_swiglu_oai_single(float x, float g, float alpha = 1.702f, float limit = 7.0f) { + x = fminf(x, limit); + g = fmaxf(fminf(g, limit), -limit); + + float out_glu = x / (1.0f + expf(-x * alpha)); + out_glu = out_glu * (1.0f + g); + return out_glu; +} -- cgit v1.2.3