unsqueeze or expand dims not supported for complex64,

@register_torch_op(torch_alias=["unsqueeze_copy"])
def unsqueeze(context, node):
inputs = _get_inputs(context, node, expected=2)
unsqueeze = mb.expand_dims(x=inputs[0], axes=[inputs[1].val], name=node.name)
context.add(unsqueeze)

also
ValueError: Op "1298" (op_type: expand_dims) Input x="freqs_cis.1" expects tensor or scalar of dtype from type domain ['fp16', 'fp32', 'int8', 'int16', 'int32', 'uint8', 'uint16', 'bool'] but got tensor[1024,32,complex64]

unsqueeze or expand dims not supported for complex64, any workaround or can it be supported?? @junpeiz @srjoglekar246 ??

Start from the registered unsqueeze handler shown in the issue and the mb.expand_dims call, then reproduce the failure with a complex64 input. Trace the dtype restrictions for expand_dims and related converter tests; done means unsqueeze or expand_dims accepts complex64 without the reported type-domain error.

Written by the indexing model from the issue text.