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ml_dtypes_bfloat16_numpy_array_creation_and_arithmetic.py
pythonThis quickstart demonstrates how to register and use custom machine learning d
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ml_dtypes_bfloat16_numpy_array_creation_and_arithmetic.py
1import numpy as np
2from ml_dtypes import bfloat16
3
4# Example of creating an array with the bfloat16 data type
5a = np.array([1.0, 2.0, 3.0], dtype=bfloat16)
6
7# Perform basic arithmetic
8b = a + a
9
10# Convert back to float32 for standard display or processing
11c = b.astype(np.float32)
12
13print(f"Data type: {a.dtype}")
14print(f"Bfloat16 array: {a}")
15print(f"Sum result: {b}")
16print(f"Float32 conversion: {c}")