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-rw-r--r--ggml/src/ggml-cuda/concat.cu196
1 files changed, 196 insertions, 0 deletions
diff --git a/ggml/src/ggml-cuda/concat.cu b/ggml/src/ggml-cuda/concat.cu
new file mode 100644
index 00000000..dac10ec3
--- /dev/null
+++ b/ggml/src/ggml-cuda/concat.cu
@@ -0,0 +1,196 @@
+#include "concat.cuh"
+
+// contiguous kernels
+static __global__ void concat_f32_dim0(const float * x, const float * y, float * dst, const int ne0, const int ne00) {
+ int nidx = threadIdx.x + blockIdx.x * blockDim.x;
+ if (nidx >= ne0) {
+ return;
+ }
+
+ int offset_dst =
+ nidx +
+ blockIdx.y * ne0 +
+ blockIdx.z * ne0 * gridDim.y;
+
+ if (nidx < ne00) { // src0
+ int offset_src =
+ nidx +
+ blockIdx.y * ne00 +
+ blockIdx.z * ne00 * gridDim.y;
+ dst[offset_dst] = x[offset_src];
+ } else {
+ int offset_src =
+ (nidx - ne00) +
+ blockIdx.y * (ne0 - ne00) +
+ blockIdx.z * (ne0 - ne00) * gridDim.y;
+ dst[offset_dst] = y[offset_src];
+ }
+}
+
+static __global__ void concat_f32_dim1(const float * x, const float * y, float * dst, const int ne0, const int ne01) {
+ int nidx = threadIdx.x + blockIdx.x * blockDim.x;
+ if (nidx >= ne0) {
+ return;
+ }
+
+ int offset_dst =
+ nidx +
+ blockIdx.y * ne0 +
+ blockIdx.z * ne0 * gridDim.y;
+
+ if (blockIdx.y < ne01) { // src0
+ int offset_src =
+ nidx +
+ blockIdx.y * ne0 +
+ blockIdx.z * ne0 * ne01;
+ dst[offset_dst] = x[offset_src];
+ } else {
+ int offset_src =
+ nidx +
+ (blockIdx.y - ne01) * ne0 +
+ blockIdx.z * ne0 * (gridDim.y - ne01);
+ dst[offset_dst] = y[offset_src];
+ }
+}
+
+static __global__ void concat_f32_dim2(const float * x, const float * y, float * dst, const int ne0, const int ne02) {
+ int nidx = threadIdx.x + blockIdx.x * blockDim.x;
+ if (nidx >= ne0) {
+ return;
+ }
+
+ int offset_dst =
+ nidx +
+ blockIdx.y * ne0 +
+ blockIdx.z * ne0 * gridDim.y;
+
+ if (blockIdx.z < ne02) { // src0
+ int offset_src =
+ nidx +
+ blockIdx.y * ne0 +
+ blockIdx.z * ne0 * gridDim.y;
+ dst[offset_dst] = x[offset_src];
+ } else {
+ int offset_src =
+ nidx +
+ blockIdx.y * ne0 +
+ (blockIdx.z - ne02) * ne0 * gridDim.y;
+ dst[offset_dst] = y[offset_src];
+ }
+}
+
+static void concat_f32_cuda(const float * x, const float * y, float * dst, int ne00, int ne01, int ne02, int ne0, int ne1, int ne2, int dim, cudaStream_t stream) {
+ int num_blocks = (ne0 + CUDA_CONCAT_BLOCK_SIZE - 1) / CUDA_CONCAT_BLOCK_SIZE;
+ dim3 gridDim(num_blocks, ne1, ne2);
+ if (dim == 0) {
+ concat_f32_dim0<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne00);
+ return;
+ }
+ if (dim == 1) {
+ concat_f32_dim1<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne01);
+ return;
+ }
+ concat_f32_dim2<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne02);
+}
+
+// non-contiguous kernel (slow)
+static __global__ void concat_f32_non_cont(
+ const char * src0,
+ const char * src1,
+ char * dst,
+ int64_t ne00,
+ int64_t ne01,
+ int64_t ne02,
+ int64_t ne03,
+ uint64_t nb00,
+ uint64_t nb01,
+ uint64_t nb02,
+ uint64_t nb03,
+ int64_t /*ne10*/,
+ int64_t /*ne11*/,
+ int64_t /*ne12*/,
+ int64_t /*ne13*/,
+ uint64_t nb10,
+ uint64_t nb11,
+ uint64_t nb12,
+ uint64_t nb13,
+ int64_t ne0,
+ int64_t /*ne1*/,
+ int64_t /*ne2*/,
+ int64_t /*ne3*/,
+ uint64_t nb0,
+ uint64_t nb1,
+ uint64_t nb2,
+ uint64_t nb3,
+ int32_t dim) {
+ const int64_t i3 = blockIdx.z;
+ const int64_t i2 = blockIdx.y;
+ const int64_t i1 = blockIdx.x;
+
+ int64_t o[4] = {0, 0, 0, 0};
+ o[dim] = dim == 0 ? ne00 : (dim == 1 ? ne01 : (dim == 2 ? ne02 : ne03));
+
+ const float * x;
+
+ for (int i0 = threadIdx.x; i0 < ne0; i0 += blockDim.x) {
+ if (i0 < ne00 && i1 < ne01 && i2 < ne02 && i3 < ne03) {
+ x = (const float *)(src0 + (i3 )*nb03 + (i2 )*nb02 + (i1 )*nb01 + (i0 )*nb00);
+ } else {
+ x = (const float *)(src1 + (i3 - o[3])*nb13 + (i2 - o[2])*nb12 + (i1 - o[1])*nb11 + (i0 - o[0])*nb10);
+ }
+
+ float * y = (float *)(dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0);
+
+ *y = *x;
+ }
+}
+
+
+void ggml_cuda_op_concat(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+ const ggml_tensor * src0 = dst->src[0];
+ const ggml_tensor * src1 = dst->src[1];
+
+ cudaStream_t stream = ctx.stream();
+
+ const int32_t dim = ((int32_t *) dst->op_params)[0];
+
+ GGML_ASSERT(src0->type == GGML_TYPE_F32);
+ GGML_ASSERT(src1->type == GGML_TYPE_F32);
+ GGML_ASSERT(dst->type == GGML_TYPE_F32);
+
+ if (ggml_is_contiguous(src0) && ggml_is_contiguous(src1)) {
+ const float * src0_d = (const float *)src0->data;
+ const float * src1_d = (const float *)src1->data;
+
+ float * dst_d = (float *)dst->data;
+
+ if (dim != 3) {
+ for (int i3 = 0; i3 < dst->ne[3]; i3++) {
+ concat_f32_cuda(
+ src0_d + i3 * (src0->nb[3] / 4),
+ src1_d + i3 * (src1->nb[3] / 4),
+ dst_d + i3 * ( dst->nb[3] / 4),
+ src0->ne[0], src0->ne[1], src0->ne[2],
+ dst->ne[0], dst->ne[1], dst->ne[2], dim, stream);
+ }
+ } else {
+ const size_t size0 = ggml_nbytes(src0);
+ const size_t size1 = ggml_nbytes(src1);
+
+ CUDA_CHECK(cudaMemcpyAsync(dst_d, src0_d, size0, cudaMemcpyDeviceToDevice, stream));
+ CUDA_CHECK(cudaMemcpyAsync(dst_d + size0/4, src1_d, size1, cudaMemcpyDeviceToDevice, stream));
+ }
+ } else {
+ dim3 grid_dim(dst->ne[1], dst->ne[2], dst->ne[3]);
+ concat_f32_non_cont<<<grid_dim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(
+ (const char *)src0->data,
+ (const char *)src1->data,
+ ( char *)dst->data,
+ src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3],
+ src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3],
+ src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3],
+ src1->nb[0], src1->nb[1], src1->nb[2], src1->nb[3],
+ dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
+ dst->nb[0], dst->nb[1], dst->nb[2], dst->nb[3], dim);
+ }
+}
generated by cgit v1.2.3 (git 2.25.1) at 2025-08-15 11:36:01 +0000