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-rw-r--r--ggml/src/ggml-cuda/softcap.cu32
-rw-r--r--ggml/src/ggml-cuda/softcap.cuh5
2 files changed, 37 insertions, 0 deletions
diff --git a/ggml/src/ggml-cuda/softcap.cu b/ggml/src/ggml-cuda/softcap.cu
new file mode 100644
index 00000000..499025d1
--- /dev/null
+++ b/ggml/src/ggml-cuda/softcap.cu
@@ -0,0 +1,32 @@
+#include "softcap.cuh"
+
+static __global__ void softcap_f32(const float * x, float * dst, float s_before, float s_after, const int k) {
+ const int i = blockDim.x*blockIdx.x + threadIdx.x;
+
+ if (i >= k) {
+ return;
+ }
+
+ float xi = s_before*x[i];
+ dst[i] = s_after * tanh(xi);
+}
+
+static void softcap_f32_cuda(const float * x, float * dst, float s_before, float s_after, const int k, cudaStream_t stream) {
+ const int num_blocks = (k + CUDA_SOFTCAP_BLOCK_SIZE - 1) / CUDA_SOFTCAP_BLOCK_SIZE;
+ softcap_f32<<<num_blocks, CUDA_SOFTCAP_BLOCK_SIZE, 0, stream>>>(x, dst, s_before, s_after, k);
+}
+
+void ggml_cuda_op_softcap(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+ const ggml_tensor * src0 = dst->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 scales[2];
+ memcpy(scales, dst->op_params, sizeof(scales));
+
+ softcap_f32_cuda(src0_d, dst_d, scales[0], scales[1], ggml_nelements(src0), stream);
+}
diff --git a/ggml/src/ggml-cuda/softcap.cuh b/ggml/src/ggml-cuda/softcap.cuh
new file mode 100644
index 00000000..2b875bfb
--- /dev/null
+++ b/ggml/src/ggml-cuda/softcap.cuh
@@ -0,0 +1,5 @@
+#include "common.cuh"
+
+#define CUDA_SOFTCAP_BLOCK_SIZE 256
+
+void ggml_cuda_op_softcap(ggml_backend_cuda_context & ctx, ggml_tensor * dst);