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Mojo function
advanced_indexing_getitem_shape
def advanced_indexing_getitem_shape[input_rank: Int, index_rank: Int, //, start_axis: Int, num_index_tensors: Int](input_shape: IndexList[input_rank], index_shape: IndexList[index_rank]) -> IndexList[((input_rank + index_rank) - num_index_tensors)]
Calculate the output shape from advanced indexing.
Parameters:
- input_rank (
Int): The rank of the input tensor. - index_rank (
Int): The rank of the indexing tensors. - start_axis (
Int): The first dimension in input where the indexing tensors are applied. It is assumed the indexing tensors are applied in consecutive dimensions. - num_index_tensors (
Int): The number of indexing tensors.
Args:
- input_shape (
IndexList[input_rank]): The shape of the input tensor in the operation. - index_shape (
IndexList[index_rank]): The shape of the indexing tensors in the operation.
Returns:
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