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32 lines
1.0 KiB
32 lines
1.0 KiB
import torch
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def get_dropout_add_func():
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from transformers.models.bloom.modeling_bloom import dropout_add
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def self_dropout_add(self, x: torch.Tensor, residual: torch.Tensor, prob: float, training: bool) -> torch.Tensor:
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return dropout_add(x, residual, prob, training)
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return self_dropout_add
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def get_jit_fused_dropout_add_func():
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from colossalai.kernel.jit import bias_dropout_add_fused_inference, bias_dropout_add_fused_train
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def self_dropout_add(self, x: torch.Tensor, residual: torch.Tensor, prob: float, training: bool) -> torch.Tensor:
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bias = torch.zeros_like(x)
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if training:
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return bias_dropout_add_fused_train(x, bias, residual, prob)
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return bias_dropout_add_fused_inference(x, bias, residual, prob)
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return self_dropout_add
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def get_jit_fused_gelu_forward_func():
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from colossalai.kernel.jit.bias_gelu import bias_gelu
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def bloom_gelu_forward(x: torch.Tensor, bias: torch.Tensor) -> torch.Tensor:
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return bias_gelu(bias, x)
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return bloom_gelu_forward
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