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Implementing `__bytes__` on `ndarray`s
See original GitHub issueIt would be useful to have an implementation of __bytes__ for ndarray analogous to NumPy’s. Ideally this would avoid an intermediate copy to a NumPy array (by using things like cuMemcpyDtoH).
Issue Analytics
- State:
- Created 4 years ago
- Comments:19 (19 by maintainers)
Top Results From Across the Web
How can I make a numpy ndarray from bytes? - Stack Overflow
To deserialize the bytes you need np.frombuffer() . tobytes() serializes the array into bytes and the np.frombuffer() deserializes them.
Read more >numpy.ndarray.tobytes — NumPy v1.24 Manual
Constructs Python bytes showing a copy of the raw contents of data memory. The bytes object is produced in C-order by default.
Read more >Byte Swapping in NumPy - Scaler Topics
Change the underlying data's byte order while leaving the dtype interpretation alone. This is the function arr.byteswap(). ndarray.byteswap().
Read more >Numpy ndarray.tobytes() function | Python - GeeksforGeeks
numpy.ndarray.tobytes() function construct Python bytes containing the raw data bytes in the array. Syntax : numpy.ndarray.tobytes(order='C').
Read more >ndarray, the base class — The ulab book 5.1.0 documentation
The method takes a single keyword argument, inplace , with values True or False , and swaps the bytes in the array.
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Maybe
bytes(self.get())(whereselfis thendarray)? This aligns most closely to what NumPy is doing as it uses NumPy’s behavior exactly.Thanks for collecting and sharing all of those details with them, Harshan. 😄 Let’s see what they say 😉