CUDA: fix crash with partial offloading of MoE (#13439)
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3 changed files with 12 additions and 6 deletions
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@ -1909,13 +1909,19 @@ static void ggml_cuda_mul_mat_batched_cublas(ggml_backend_cuda_context & ctx, co
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static void ggml_cuda_mul_mat(ggml_backend_cuda_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
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const bool split = ggml_backend_buft_is_cuda_split(src0->buffer->buft);
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// If src0 is a temporary compute buffer it may have some padding that needs to be cleared for mul_mat_vec_q or mul_mat_q.
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// But if src0 is also a view of another tensor then this cannot be done safely because it may overwrite valid tensor data.
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// Therefore, in such cases use cuBLAS.
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const bool bad_padding_clear = ggml_backend_buffer_get_usage(src0->buffer) == GGML_BACKEND_BUFFER_USAGE_COMPUTE
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&& ggml_nbytes(src0) != ggml_backend_buffer_get_alloc_size(src0->buffer, src0) && src0->view_src;
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bool use_mul_mat_vec = (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || src0->type == GGML_TYPE_BF16)
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&& src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32
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&& src0->ne[0] % 2 == 0 && src1->ne[1] == 1;
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bool use_mul_mat_vec_q = ggml_is_quantized(src0->type)
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bool use_mul_mat_vec_q = ggml_is_quantized(src0->type) && !bad_padding_clear
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&& src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32
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&& src1->ne[1] <= MMVQ_MAX_BATCH_SIZE;
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bool use_mul_mat_q = ggml_is_quantized(src0->type)
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bool use_mul_mat_q = ggml_is_quantized(src0->type) && !bad_padding_clear
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&& src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32;
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bool any_gpus_with_slow_fp16 = false;
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