def gen_local_dim_defs(func_attrs, indent="  "):
    """
    used together with input TensorAccessor to access a strided input
    """
    if "input_accessors" not in func_attrs:
        return ""

    dims = {}
    for input_idx, input_accessor in enumerate(func_attrs["input_accessors"]):
        if not input_accessor.is_from_strided_tensor:
            continue
        original_shape = input_accessor.original_shapes
        for idx, dim in enumerate(original_shape):
            # skip dynamic dims
            if isinstance(dim, IntImm):
                input_shape = func_attrs["inputs"][input_idx]._attrs["shape"]
                if idx < len(input_shape):
                    name = input_shape[idx]._attrs["name"]
                    if name in dims:
                        assert dims[name] == dim.value(), "bmm inputs shape mismatch"
                    else:
                        dims[name] = dim.value()
    return DIM_DEFS_TEMPLATE.render(dims=dims, indent=indent)

    used together with input TensorAccessor to access a strided input
    
python/aitemplate/backend/cuda/gemm_universal/common.py