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ml_dtypes_bfloat16_numpy_array_creation_and_arithmetic.py

python

This example demonstrates how to import ml_dtypes to register custom NumPy dat

15d ago13 linesgoogle/ml-dtypes
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ml_dtypes_bfloat16_numpy_array_creation_and_arithmetic.py
1import numpy as np
2from ml_dtypes import bfloat16
3
4# Creating a numpy array with the bfloat16 data type
5a = np.array([1.25, 2.5, 3.75], dtype=bfloat16)
6
7print(f"Array: {a}")
8print(f"Dtype: {a.dtype}")
9
10# Basic arithmetic operations
11b = a * 2
12print(f"Result: {b}")
13print(f"Result Dtype: {b.dtype}")