<reponame>kotabrog/K_DeZero
from kdezero import cuda, Function


class Sin(Function):
    def forward(self, x):
        xp = cuda.get_array_module(x)
        y = xp.sin(x)
        return y

    def backward(self, gy):
        x, = self.inputs
        gx = gy * cos(x)
        return gx


def sin(x):
    return Sin()(x)


class Cos(Function):
    def forward(self, x):
        xp = cuda.get_array_module(x)
        y = xp.cos(x)
        return y

    def backward(self, gy):
        x, = self.inputs
        gx = gy * -sin(x)
        return gx


def cos(x):
    return Cos()(x)


class Tanh(Function):
    def forward(self, x):
        xp = cuda.get_array_module(x)
        y = xp.tanh(x)
        return y

    def backward(self, gy):
        y = self.outputs[0]()
        gx = gy * (1 - y * y)
        return gx


def tanh(x):
    return Tanh()(x)


class Exp(Function):
    def forward(self, x):
        xp = cuda.get_array_module(x)
        y = xp.exp(x)
        return y

    def backward(self, gy):
        y = self.outputs[0]()
        gx = gy * y
        return gx


def exp(x):
    return Exp()(x)


class Log(Function):
    def forward(self, x):
        xp = cuda.get_array_module(x)
        y = xp.log(x)
        return y

    def backward(self, gy):
        x, = self.inputs
        gx = gy / x
        return gx


def log(x):
    return Log()(x)

from kdezero import cuda, Function


class Sin(Function):
    def forward(self, x):
        xp = cuda.get_array_module(x)
        y = xp.sin(x)
        return y

    def backward(self, gy):
        x, = self.inputs
        gx = gy * cos(x)
        return gx


def sin(x):
    return Sin()(x)


class Cos(Function):
    def forward(self, x):
        xp = cuda.get_array_module(x)
        y = xp.cos(x)
        return y

    def backward(self, gy):
        x, = self.inputs
        gx = gy * -sin(x)
        return gx


def cos(x):
    return Cos()(x)


class Tanh(Function):
    def forward(self, x):
        xp = cuda.get_array_module(x)
        y = xp.tanh(x)
        return y

    def backward(self, gy):
        y = self.outputs[0]()
        gx = gy * (1 - y * y)
        return gx


def tanh(x):
    return Tanh()(x)


class Exp(Function):
    def forward(self, x):
        xp = cuda.get_array_module(x)
        y = xp.exp(x)
        return y

    def backward(self, gy):
        y = self.outputs[0]()
        gx = gy * y
        return gx


def exp(x):
    return Exp()(x)


class Log(Function):
    def forward(self, x):
        xp = cuda.get_array_module(x)
        y = xp.log(x)
        return y

    def backward(self, gy):
        x, = self.inputs
        gx = gy / x
        return gx


def log(x):
    return Log()(x)