add sin, cos ops

[On-JungWoan]

I added the cos and sin operators. Can you please review?

@converter(torch.Tensor.add, torch.Tensor.__add__, torch.Tensor.__iadd__, torch.Tensor.__radd__, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS_OR_PYTORCH, autocast=True)
def converter_sin(input, *args, **kwargs):
    def func(input, *args, **kwargs):
        return tf.math.sin(input)
    return func

@converter(torch.Tensor.add, torch.Tensor.__add__, torch.Tensor.__iadd__, torch.Tensor.__radd__, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS_OR_PYTORCH, autocast=True)
def converter_cos(input, *args, **kwargs):
    def func(input, *args, **kwargs):
        return tf.math.cos(input)
    return func

[AlexanderLutsenko]

@converter(torch.Tensor.add, torch.Tensor.add, torch.Tensor.iadd, torch.Tensor.radd, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS_OR_PYTORCH, autocast=True)

This should be

@converter(torch.sin, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS)

[On-JungWoan]

Ah, I understand it. Any there other problems?

[On-JungWoan]

[AlexanderLutsenko]

@On-JungWoan ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS would be a better fit, just for cleanliness. MINIMUM_TRANSPOSITIONS_OR_PYTORCH is used for special occasions when there's more than one inputs which might require broadcasting (add, mul, etc.). Otherwise, seems legit.

[On-JungWoan]

I fixed it!

[AlexanderLutsenko]

Done

[On-JungWoan]

Thank you for merging it😊