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Mojo struct
GatedDeltaConv1dFwd
struct GatedDeltaConv1dFwd
Gated DeltaNet causal conv1d forward pass (Pass 1 of two-pass prefill).
Reads/writes a single mutable conv-state pool of shape
[max_slots, conv_dim, kernel_size-1] in place at slot
slot_idx[batch_item]. No state-out tensor; the only output is the
per-token conv output. The pool's dtype is independent of the working
dtype, so the caller can keep the per-token tensors at fp32 while
storing the pool at the model's native dtype (bf16).
Tensor Shapes: - conv_output_ragged : [total_seq_len, conv_dim] (OUT) - qkv_input_ragged : [total_seq_len, conv_dim] - conv_weight : [conv_dim, kernel_size] - conv_state : [max_slots, conv_dim, kernel_size-1] (MUT) - slot_idx : [batch_size] uint32 - input_row_offsets : [batch_size + 1] uint32
Implemented traits
Methods
execute
static def execute[work_dtype: DType, state_dtype: DType, target: StringSlice[ImmStaticOrigin]](conv_output_ragged: ManagedTensorSlice[IOSpec[_, _].Output, static_spec=conv_output_ragged.static_spec], qkv_input_ragged: ManagedTensorSlice[IOSpec[_, _].Input, static_spec=qkv_input_ragged.static_spec], conv_weight: ManagedTensorSlice[IOSpec[_, _].Input, static_spec=conv_weight.static_spec], conv_state: ManagedTensorSlice[IOSpec[_, _].MutableInput, static_spec=conv_state.static_spec], slot_idx: ManagedTensorSlice[IOSpec[_, _].Input, static_spec=slot_idx.static_spec], input_row_offsets: ManagedTensorSlice[IOSpec[_, _].Input, static_spec=input_row_offsets.static_spec], ctx: DeviceContext)