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Add stream parameters in pylibcudf IO APIs #17620
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How should we test this? We have a pretty convoluted stream testing framework in libcudf right now. I wonder if there is a cleaner way to do that kind of thing in pylibcudf, or if there is potential for reuse of the custom library.
@@ -20,4 +20,4 @@ cdef class AvroReaderOptionsBuilder: | |||
cpdef AvroReaderOptionsBuilder num_rows(self, size_type num_rows) | |||
cpdef AvroReaderOptions build(self) | |||
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cpdef TableWithMetadata read_avro(AvroReaderOptions options) | |||
cpdef TableWithMetadata read_avro(AvroReaderOptions options, Stream stream = *) |
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What does = *
do in Cython? I don't think I've used this syntax but I have seen it in a few places.
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Indicates the argument is optional: ref
if stream is None: | ||
stream = Stream() |
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We need to streamline this. Maybe we can use a default besides None
, or perhaps we need a cdef stream_or_default(stream)
function.
We can create streams from numba and cupy (and default streams). I think we should add tests to each of the IO test modules. And test that the stream param works from cupy, numba, and default streams. Eg. def test_read_parquet_with_numba_stream():
import numba
numba_stream = # create numba stream
plc.io.parquet.read_parquet(options, Stream(numba_stream))
... |
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We should address rapidsai/rmm#1770 before we merge this PR or anything like it in cudf. |
Description
Apart of #15163. As #13744 comes to a close, we can begin exposing the
streams
parameter to pylibcudf. This PR will focus on the IO APIs.Checklist