Mojo function

get_conv_shape

get_conv_shape[rank: Int, filter_packed: Bool](output: LayoutTensor[dtype, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], input: LayoutTensor[dtype, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], filter: LayoutTensor[dtype, layout, origin, address_space=address_space, element_layout=element_layout, layout_int_type=layout_int_type, linear_idx_type=linear_idx_type, masked=masked, alignment=alignment], stride: IndexList[rank], dilation: IndexList[rank], pad_d: IndexList[2], pad_h: IndexList[2], pad_w: IndexList[2], num_groups: Int) -> ConvShape[rank]

get_conv_shape[rank: Int, filter_packed: Bool](output: NDBuffer[dtype, rank, origin, shape, strides, alignment=alignment, address_space=address_space, exclusive=exclusive], input: NDBuffer[dtype, rank, origin, shape, strides, alignment=alignment, address_space=address_space, exclusive=exclusive], filter: NDBuffer[dtype, rank, origin, shape, strides, alignment=alignment, address_space=address_space, exclusive=exclusive], stride: IndexList[rank], dilation: IndexList[rank], pad_d: IndexList[2], pad_h: IndexList[2], pad_w: IndexList[2], num_groups: Int) -> ConvShape[rank]

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