Make gen_finn_dt_tensor consider the numpy type for INT and FIXED types #118
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When the FINN datatype is, for example,
UINT64,np.random.randintstill implicitly defaults tonp.int64, making thehigh=finn_dt.max() + 1exceed the valid range:ValueError: high is out of bounds for int64. This happened to me in thestep_make_pynq_driverof a FINN build of aGather/Lookupnode where the index input has been annotated toUINT64.I think, the most generic solution to this is specifying the numpy datatype corresponding to the FINN datatype as an additional
dtype=argument to the function call. I am not sure whether it makes sense to add this to all the other cases as well, i.e., to BINARY, BIPOLAR and FLOAT32.