mirror of https://github.com/hpcaitech/ColossalAI
15 lines
656 B
Python
15 lines
656 B
Python
|
import torch
|
||
|
|
from ..registry import meta_patched_module
|
||
|
|
from typing import Optional
|
||
|
|
|
||
|
|
|
||
|
|
@meta_patched_module.register(torch.nn.GRU)
|
||
|
|
@meta_patched_module.register(torch.nn.RNN)
|
||
|
|
def torch_nn_rnn(self, input, hx):
|
||
|
|
assert input.shape[
|
||
|
|
-1] == self.input_size, f'Expected input to have input size {self.input_size} but got {input.shape[-1]} for the torch.nn.RNN patch'
|
||
|
|
assert hx.shape[
|
||
|
|
-1] == self.hidden_size, f'Expected hx to have hidden size {self.hidden_size} but got {hx.shape[-1]} for the torch.nn.RNN patch'
|
||
|
|
d = 2 if self.bidirectional else 1
|
||
|
|
return torch.empty(input.shape[:-1] + (self.hidden_size * d,), device="meta"), hx
|