Hey Brian,

I do not know of any examples of the top of my head that use metadata for 
higher CHDR_W’s.\
\
I suspect that on the Host side, 64bit is just the data type used because it is 
the lowest common denominator for all CHDR_W’s. In the CHDR header , the 
metadata is not counted in terms of bytes like the length is, but rather in 
words of CHDR_W. I would expect the UHD host driver to do the correct 
conversion if needed for your particular usrp image.

I am assuming you are asking about how to get access to the metadata inside of 
a custom RFNoC block. 

If you have not already, maybe taking a look at the different RFNoC block data 
plane interface options in the RFNoC specification. Specifically **2.3.3.3 
AXI-Stream Payload Context (Simple Interface)** might be useful for your use 
case. 

If you use this interface setting, you get separate data streams for payload 
and context, where context includes a stream of CHDR_W words of either 
header/timestamp information, or the metadata, with the axi user signals 
differentiating between the 
two:![](data:image/png;base64,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)
 

If this is not suited for your usecase, and want to implement your own 
solution, you can take the 
[chdr_to_axis_pyld_ctxt](https://github.com/EttusResearch/uhd/blob/master/fpga/usrp3/lib/rfnoc/core/chdr_to_axis_pyld_ctxt.v)(or
 
[axis_pyld_ctxt_to_chdr](https://github.com/EttusResearch/uhd/blob/master/fpga/usrp3/lib/rfnoc/core/axis_pyld_ctxt_to_chdr.v)
 for the opposite direction) as an example of how the noc shell separates 
context and payload.\
\
Hope this helps,

Regards,

Niels

---

I am targeting the X440 with a design that has a CHDR_W of 512 and I'd like \
to use the metadata inside my AXIS stream associated with it.

In the RFNoC specification ( \
<https://files.ettus.com/app_notes/RFNoC_Specification.pdf>), table 1 shows \
the CHDR packet with the Metadata being CHDR_W wide. I see the metadata \
listed in the chdr_packet here is a vector of uint64_t:

<https://files.ettus.com/manual/classuhd_1_1utils_1_1chdr_1_1chdr__packet.html#aa294b5e5291ae8250dab05f2f0339d3f>

Are there any examples of building a chdr packet with custom metadata that \
I can reference? Especially one that might use a different CHDR_W than \
64-bits and how that might affect things?

Am I venturing into untested territory which may have a lot of potential \
issues?

Any insights would be appreciated.

Thanks, \
Brian
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