| import torch |
| |
| class TimeMixState: |
| def __init__(self, shift_state: torch.Tensor, wkv_state: torch.Tensor): |
| self.shift_state = shift_state |
| self.wkv_state = wkv_state |
|
|
|
|
| class ChannelMixState: |
| def __init__(self, shift_state: torch.Tensor): |
| self.shift_state = shift_state |
|
|
|
|
| class BlockState: |
| def __init__(self, time_mix_state: TimeMixState, |
| channel_mix_state: ChannelMixState): |
| self.time_mix_state = time_mix_state |
| self.channel_mix_state = channel_mix_state |
|
|
| class BlockStateList: |
|
|
| def __init__(self, shift_states, wkv_states): |
| self.wkv_states = wkv_states |
| self.shift_states = shift_states |
|
|
| @staticmethod |
| def create(N, B, C, H, device, dtype): |
| result = BlockStateList.empty(N, B, C, H, device, dtype) |
| result.wkv_states[:] = 0 |
| result.wkv_states[:] = 0 |
| result.shift_states[:] = 0 |
| return result |
|
|
| @staticmethod |
| def empty(N, B, C, H, device, dtype): |
| wkv_states = torch.empty((N, B, H, C//H, C//H), |
| device=device, |
| dtype=torch.bfloat16) |
| shift_states = torch.empty((N, 2, B, C), device=device, dtype=dtype) |
| return BlockStateList(shift_states, wkv_states) |
|
|
| def __getitem__(self, layer: int): |
| return BlockState( |
| TimeMixState(self.shift_states[layer, 0], self.wkv_states[layer]), |
| ChannelMixState(self.shift_states[layer, 1])) |
|
|
| def __setitem__(self, layer: int, state: BlockState): |
| self.shift_states[layer, 0] = state.time_mix_state.shift_state |
| self.wkv_states[layer] = state.time_mix_state.wkv_state |
| self.shift_states[layer, 1] = state.channel_mix_state.shift_state |
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