Pynq custom overlay of multidimensional array calculation using vivado hls

[cathalmccabe]

@TingShen_Kuo In your Python code, what are “A” and “B”?
The error is that the data type must be int or bytes. You may not have assigned a value to A or B correctly.

Can you post more details about this problem you have?:

@TingShen_Kuo

Hi bartoken, i just modify your code to the following.
I just add integer 10 to the array2o.

But when i export to RTL, it occurs that there is no use ip.
Do you know what is going on?

@bartokon

Also, I have find out that PYNQ has some errors with register map if your array is bigger than ?64? units.
Depending on the host CPU (32bit/64bit) registers are 32 bit or 64 bit. This is why you see an error if you try to use something larger than this.

I can write one value by using base address and incrementing by 4bythes (size of int)
We could do probably whole array like this, but there must be another way! I will try to search for a solution.

See this post:

MMIO write is too slow

The quick fix is to use the underlying numpy array to write the data - instances the MMIO class as a .array which provides direct access to the registers. If I’m doing this I generally take a slice of the array containing the registers I want to update frequently and then I can just directly assign it. input_registers = mmio.array[0x100:0x200] # address 0x400 to 0x800 input_registers[:] = input_data This will be substantially faster than calling write for each entry separately For even better…

Cathal