ezmsg.sigproc.asarray#
Convert AxisArray data to a target array backend.
This module provides a transformer that converts AxisArray payloads between array backends (NumPy, MLX, PyTorch, CuPy, JAX). Useful for wiring a conversion step between nodes — e.g., numpy → MLX before a GPU-accelerated filter, or MLX → numpy before a scipy-dependent node.
Note
This module supports the Array API standard, enabling use with NumPy, CuPy, PyTorch, and other compatible array libraries.
Classes
- class AsArray(*args, settings=None, **kwargs)[source]#
Bases:
BaseTransformerUnit[AsArraySettings,AxisArray,AxisArray,AsArrayTransformer]- Parameters:
settings (Settings | None)
- SETTINGS#
alias of
AsArraySettings
- class AsArraySettings(backend: ArrayBackend = <ArrayBackend.numpy: 'numpy'>, dtype: str | None = None)[source]#
Bases:
Settings- Parameters:
backend (ArrayBackend)
dtype (str | None)
- backend: ArrayBackend = 'numpy'#
Target array backend.
- dtype: str | None = None#
Target dtype as a string (e.g. “float32”, “float64”). None keeps the original dtype.
- __init__(backend=ArrayBackend.numpy, dtype=None)#
- Parameters:
backend (ArrayBackend)
dtype (str | None)
- Return type:
None
- class AsArrayTransformer(*args, settings=None, **kwargs)[source]#
Bases:
BaseTransformer[AsArraySettings,AxisArray,AxisArray]- Parameters:
settings (SettingsType)