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/opt-step-sgd.cu | 49 ++++++++++++++++++++++++++++ 1 file changed, 49 insertions(+) create mode 100644 llama.cpp/ggml/src/ggml-cuda/opt-step-sgd.cu (limited to 'llama.cpp/ggml/src/ggml-cuda/opt-step-sgd.cu') diff --git a/llama.cpp/ggml/src/ggml-cuda/opt-step-sgd.cu b/llama.cpp/ggml/src/ggml-cuda/opt-step-sgd.cu new file mode 100644 index 0000000..460b16d --- /dev/null +++ b/llama.cpp/ggml/src/ggml-cuda/opt-step-sgd.cu @@ -0,0 +1,49 @@ +#include "ggml-impl.h" +#include "opt-step-sgd.cuh" + +#include + +static __global__ void opt_step_sgd_f32( + float * __restrict__ x, const float * __restrict__ g, + const float * __restrict__ pars, const int64_t k) { + + const int64_t i = (int64_t) blockIdx.x*blockDim.x + threadIdx.x; + + if (i >= k) { + return; + } + x[i] = x[i] * (1.0f - pars[0] * pars[1]) - pars[0] * g[i]; +} + +static void opt_step_sgd_f32_cuda( + float * x, const float * g, const float * __restrict__ pars, const int64_t k, cudaStream_t stream) { + + const dim3 block_dims(CUDA_OPT_STEP_SGD_BLOCK_SIZE, 1, 1); + const dim3 block_nums((k + CUDA_OPT_STEP_SGD_BLOCK_SIZE - 1) / CUDA_OPT_STEP_SGD_BLOCK_SIZE, 1, 1); + opt_step_sgd_f32<<>>(x, g, pars, k); +} + +void ggml_cuda_opt_step_sgd(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { + const ggml_tensor * src0 = dst->src[0]; + const ggml_tensor * src0_grad = dst->src[1]; + const ggml_tensor * params = dst->src[2]; + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT(src0_grad->type == GGML_TYPE_F32); + GGML_ASSERT(params->type == GGML_TYPE_F32); + GGML_ASSERT(ggml_is_contiguous(src0)); + GGML_ASSERT(ggml_is_contiguous(src0_grad)); + GGML_ASSERT(ggml_is_contiguous(params)); + GGML_ASSERT(ggml_are_same_shape(src0, src0_grad)); + GGML_ASSERT(ggml_nelements(params) == 2); + + float * src0_d = (float *) src0->data; + const float * src0_grad_d = (const float *) src0_grad->data; + const float * params_d = (const float *) params->data; + + cudaStream_t stream = ctx.stream(); + + const int64_t ne = ggml_nelements(src0); + + opt_step_sgd_f32_cuda(src0_d, src0_grad_d, params_d, ne, stream); +} -- cgit v1.2.3