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cann: support q8_0 for Ascend backend (#8805)
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@ -2381,10 +2381,10 @@ static void ggml_cann_mul_mat_q8_0(ggml_backend_cann_context& ctx,
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size_t input_nb[] = {input_elem_size, input_elem_size * src1->ne[0]};
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size_t input_nb[] = {input_elem_size, input_elem_size * src1->ne[0]};
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size_t input_stride = input_elem_size * src1->ne[0] * src1->ne[1];
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size_t input_stride = input_elem_size * src1->ne[0] * src1->ne[1];
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ggml_cann_pool_alloc input_alloctor(ctx.pool());
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if (src1->type != GGML_TYPE_F16) {
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if (src1->type != GGML_TYPE_F16) {
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aclTensor* acl_src1_tensor = ggml_cann_create_tensor(src1);
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aclTensor* acl_src1_tensor = ggml_cann_create_tensor(src1);
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ggml_cann_pool_alloc input_alloctor(
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input_alloctor.alloc(ggml_nelements(src1) * input_elem_size);
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ctx.pool(), ggml_nelements(src1) * input_elem_size);
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input_buffer = input_alloctor.get();
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input_buffer = input_alloctor.get();
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int64_t* input_cast_ne = src1->ne;
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int64_t* input_cast_ne = src1->ne;
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