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https://github.com/ikawrakow/ik_llama.cpp.git
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CUDA: ADD_ID
Just a copy from mainline
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58
ggml/src/ggml-cuda/add-id.cu
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58
ggml/src/ggml-cuda/add-id.cu
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#include "add-id.cuh"
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static __global__ void add_id_kernel(
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const float * src0, const float * src1, const int32_t * src2, float * dst,
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int64_t ne0, int64_t ne1,
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size_t nb01, size_t nb02,
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size_t nb11,
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size_t nb21
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) {
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const int64_t i1 = blockIdx.x;
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const int64_t i2 = blockIdx.y;
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const int i11 = *(int32_t *) ((char *) src2 + i1*sizeof(int32_t) + i2*nb21);
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const size_t nb1 = ne0 * sizeof(float);
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const size_t nb2 = ne1 * nb1;
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float * dst_row = (float *)((char *)dst + i1*nb1 + i2*nb2);
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const float * src0_row = (const float *)((char *)src0 + i1*nb01 + i2*nb02);
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const float * src1_row = (const float *)((char *)src1 + i11*nb11);
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for (int64_t i0 = threadIdx.x; i0 < ne0; i0 += blockDim.x) {
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dst_row[i0] = src0_row[i0] + src1_row[i0];
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}
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}
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void ggml_cuda_op_add_id(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
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const ggml_tensor * src0 = dst->src[0];
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const ggml_tensor * src1 = dst->src[1];
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const ggml_tensor * src2 = dst->src[2];
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GGML_TENSOR_TERNARY_OP_LOCALS
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GGML_ASSERT(dst->type == GGML_TYPE_F32);
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GGML_ASSERT(src0->type == GGML_TYPE_F32);
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GGML_ASSERT(src1->type == GGML_TYPE_F32);
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GGML_ASSERT(src2->type == GGML_TYPE_I32);
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GGML_ASSERT(nb00 == sizeof(float));
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GGML_ASSERT(nb10 == sizeof(float));
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GGML_ASSERT(nb20 == sizeof(int32_t));
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const float * src0_d = (const float *)src0->data;
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const float * src1_d = (const float *)src1->data;
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const int32_t * src2_d = (const int32_t *)src2->data;
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float * dst_d = (float *)dst->data;
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int threads = std::min((int)ne00, 768); // cols
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dim3 blocks(ne01, ne02); // n_experts_used, n_tokens
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add_id_kernel<<<blocks, threads, 0, ctx.stream()>>>(
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src0_d, src1_d, src2_d, dst_d,
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ne0, ne1,
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nb01, nb02,
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nb11,
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nb21
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);
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}
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3
ggml/src/ggml-cuda/add-id.cuh
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3
ggml/src/ggml-cuda/add-id.cuh
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#include "common.cuh"
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void ggml_cuda_op_add_id(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
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