Source code for libai.layers.activation

# coding=utf-8
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from enum import Enum
from typing import Optional

import oneflow as flow
from oneflow import nn


class Activation(str, Enum):
    SquaredReLU = "squared_relu"
    GeLU = "gelu"
    GeLUTanh = "gelu_tanh"
    LeakyReLU = "leaky_relu"
    ReLU = "relu"
    Tanh = "tanh"
    QuickGELU = "quick_gelu"


# For unit testing / parity comparisons, probably not the fastest way
class SquaredReLU(nn.Module):
    def __init__(self) -> None:
        super().__init__()

    def forward(self, x: flow.Tensor) -> flow.Tensor:
        x_ = flow._C.relu(x)
        return x_ * x_


class Passthrough(nn.Module):
    def __init__(self) -> None:
        super().__init__()

    def forward(self, x: flow.Tensor) -> flow.Tensor:
        return x


class GeLUTanh(nn.Module):
    def __init__(self) -> None:
        super().__init__()

    def forward(self, x: flow.Tensor) -> flow.Tensor:
        """When the approximate argument is 'tanh', Gelu is estimated with:
        0.5 * x * (1.0 + flow.tanh(math.sqrt(2.0 / math.pi) * (x + 0.044715 * flow.pow(x, 3.0))))
        """
        return flow.nn.functional.gelu(x, approximate="tanh")


class QuickGELU(nn.Module):
    def __init__(self) -> None:
        super().__init__()

    def forward(self, x: flow.Tensor) -> flow.Tensor:
        """QuickGELU is estimated with: x * flow.sigmoid(1.702 * x)"""
        return flow._C.quick_gelu(x)


[docs]def build_activation(activation: Optional[Activation]): """ Fetching activation layers by name, e.g., ``build_activation("gelu")`` returns ``nn.GELU()`` module. """ if not activation: return Passthrough() return { Activation.ReLU: nn.ReLU, Activation.GeLU: nn.GELU, Activation.GeLUTanh: GeLUTanh, Activation.LeakyReLU: nn.LeakyReLU, Activation.SquaredReLU: SquaredReLU, Activation.Tanh: nn.Tanh, Activation.QuickGELU: QuickGELU, }[activation]()