mirror of https://github.com/hpcaitech/ColossalAI
17 lines
659 B
Python
17 lines
659 B
Python
from typing import Optional
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import torch
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from ...registry import meta_patched_module
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@meta_patched_module.register(torch.nn.GRU)
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@meta_patched_module.register(torch.nn.RNN)
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def torch_nn_rnn(self, input, hx):
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assert input.shape[
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-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'
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assert hx.shape[
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-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'
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d = 2 if self.bidirectional else 1
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return torch.empty(input.shape[:-1] + (self.hidden_size * d,), device="meta"), hx
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