Nvidia

I changed some compilation parameters of my program and now I see this warning that might be easy to fix.

/usr/local/cuda/bin/../targets/x86_64-linux/include/thrust/detail/complex/catrigf.h: In function 'thrust::complex<float> thrust::detail::complex::casinhf(thrust::complex<float>)':
/usr/local/cuda/bin/../targets/x86_64-linux/include/thrust/detail/complex/catrigf.h:170:36: error: implic

Describe the bug

We should raise better error messages in the scenario when users pass stuff like pandas.Series/list etc to the vectorizer.

Steps/Code to reproduce bug

import cudf
import pandas
from cuml.feature_extraction.text import TfidfVectorizer

vec =  TfidfVectorizer()
text_s = pandas.Series(["apple", "is", "great"])

 vec.fit_transform(text_s)

Describe the solution you'd like

Improve this error to provide both the found hardware and the expected hardware

 No compatible device was found for instantiating TensorRT **engine**

I would like to be able to determine my device-wide primitive's temp_storage_bytes before I have all of the primitive's arguments ready. The interface for obtaining it ostensibly requires everything to be ready for the actual run - and the documentation does not make it clear what arguments it actually needs and what it's going to do with them (e.g. will it look at the input at all, in any way? Pr