|
Mila
Deep Neural Network Library
|
Virtual inference interface for a heterogeneous transformer block list. More...
#include <memory>import Compute.DeviceTypeTraits;import Compute.DeviceType;import Compute.Device;import Compute.GqaState;import Dnn.TensorDataType;import Dnn.TensorTypes;import Dnn.Tensor;Classes | |
| class | Mila::Dnn::ITransformerBlock< TDeviceType, TPrecision > |
| Polymorphic inference interface for one transformer block. More... | |
Namespaces | |
| namespace | Mila |
| Mila main API namespace. | |
Virtual inference interface for a heterogeneous transformer block list.
A transformer whose stack interleaves structurally different block kinds cannot hold a homogeneous vector<Block> the way GptTransformer / LlamaTransformer do, so it drives its layer list through this interface – one virtual call per layer per token step, negligible against the per-layer GEMMs. Implemented by both GemmaBlock instantiations (local sliding / global full attention) and by both Qwen block kinds (attention / DeltaNet); see Specifications/Gemma.md section 8 and Specifications/Qwen3.8.md section 8.
Inference-only: the interface exposes the prefill/decode KV-cache path and the shared GQA workspace wiring, not training forward/backward (those remain on the concrete CompositeComponent if ever needed).