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/softcap.cu | 34 +++++++++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) create mode 100644 llama.cpp/ggml/src/ggml-cuda/softcap.cu (limited to 'llama.cpp/ggml/src/ggml-cuda/softcap.cu') diff --git a/llama.cpp/ggml/src/ggml-cuda/softcap.cu b/llama.cpp/ggml/src/ggml-cuda/softcap.cu new file mode 100644 index 0000000..40dfe45 --- /dev/null +++ b/llama.cpp/ggml/src/ggml-cuda/softcap.cu @@ -0,0 +1,34 @@ +#include "softcap.cuh" + +static __global__ void softcap_f32(const float * x, float * dst, const float scale, const float softcap, const int k) { + const int i = blockDim.x*blockIdx.x + threadIdx.x; + + if (i >= k) { + return; + } + + dst[i] = tanhf(scale * x[i]) * softcap; +} + +static void softcap_f32_cuda(const float * x, float * dst, const float scale, const float softcap, const int k, cudaStream_t stream) { + const int num_blocks = (k + CUDA_SOFTCAP_BLOCK_SIZE - 1) / CUDA_SOFTCAP_BLOCK_SIZE; + softcap_f32<<>>(x, dst, scale, softcap, k); +} + +// fused GGML_OP_SCALE + GGML_UNARY_OP_TANH + GGML_OP_SCALE +void ggml_cuda_op_softcap(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * src) { + const ggml_tensor * src0 = src->src[0]; + const float * src0_d = (const float *)src0->data; + float * dst_d = (float *)dst->data; + cudaStream_t stream = ctx.stream(); + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F32); + + float scale; + float softcap; + memcpy(&scale, (float *) src->op_params + 0, sizeof(float)); + memcpy(&softcap, (float *) dst->op_params + 0, sizeof(float)); + + softcap_f32_cuda(src0_d, dst_d, scale, softcap, ggml_nelements(src0), stream); +} -- cgit v1.2.3