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authorMitja Felicijan <mitja.felicijan@gmail.com>2026-02-12 20:57:17 +0100
committerMitja Felicijan <mitja.felicijan@gmail.com>2026-02-12 20:57:17 +0100
commitb333b06772c89d96aacb5490d6a219fba7c09cc6 (patch)
tree211df60083a5946baa2ed61d33d8121b7e251b06 /llama.cpp/ggml/src/ggml-cuda/fill.cu
downloadllmnpc-b333b06772c89d96aacb5490d6a219fba7c09cc6.tar.gz
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Diffstat (limited to 'llama.cpp/ggml/src/ggml-cuda/fill.cu')
-rw-r--r--llama.cpp/ggml/src/ggml-cuda/fill.cu37
1 files changed, 37 insertions, 0 deletions
diff --git a/llama.cpp/ggml/src/ggml-cuda/fill.cu b/llama.cpp/ggml/src/ggml-cuda/fill.cu
new file mode 100644
index 0000000..739062c
--- /dev/null
+++ b/llama.cpp/ggml/src/ggml-cuda/fill.cu
@@ -0,0 +1,37 @@
+#include "fill.cuh"
+#include "convert.cuh"
+
+#define CUDA_FILL_BLOCK_SIZE 256
+
+template <typename T>
+static __global__ void fill_kernel(T * dst, const int64_t k, const T value) {
+ const int64_t i = (int64_t)blockDim.x * blockIdx.x + threadIdx.x;
+ if (i >= k) {
+ return;
+ }
+ dst[i] = value;
+}
+
+void ggml_cuda_op_fill(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+ void * dst_d = dst->data;
+ cudaStream_t stream = ctx.stream();
+
+ GGML_ASSERT(ggml_is_contiguous(dst));
+
+ float value;
+ memcpy(&value, dst->op_params, sizeof(float));
+
+ const int64_t k = ggml_nelements(dst);
+ const int64_t num_blocks = (k + CUDA_FILL_BLOCK_SIZE - 1) / CUDA_FILL_BLOCK_SIZE;
+
+ switch (dst->type) {
+ case GGML_TYPE_F32:
+ fill_kernel<<<num_blocks, CUDA_FILL_BLOCK_SIZE, 0, stream>>>((float *)dst_d, k, value);
+ break;
+ case GGML_TYPE_F16:
+ fill_kernel<<<num_blocks, CUDA_FILL_BLOCK_SIZE, 0, stream>>>((half *)dst_d, k, ggml_cuda_cast<half>(value));
+ break;
+ default:
+ GGML_ABORT("unsupported type");
+ }
+}