accelbrainbase.noiseabledata._mxnet package¶
Submodules¶
accelbrainbase.noiseabledata._mxnet.cutout_noise module¶
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class
accelbrainbase.noiseabledata._mxnet.cutout_noise.CutoutNoise(height=10, width=10)¶ Bases:
accelbrainbase.noiseabledata.cutout_noise.CutoutNoiseGauss noise function.
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noise(arr, F=<module 'mxnet.ndarray' from '/home/chimera/.pyenv/versions/anaconda3-5.1.0/lib/python3.6/site-packages/mxnet/ndarray/__init__.py'>)¶ Noise.
Parameters: arr – Tensor (4 or 5 rank). Returns: Tensor.
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accelbrainbase.noiseabledata._mxnet.gauss_noise module¶
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class
accelbrainbase.noiseabledata._mxnet.gauss_noise.GaussNoise(mu=0.0, sigma=1.0)¶ Bases:
accelbrainbase.noiseabledata.gauss_noise.GaussNoiseGauss noise function.
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noise(arr, F=<module 'mxnet.ndarray' from '/home/chimera/.pyenv/versions/anaconda3-5.1.0/lib/python3.6/site-packages/mxnet/ndarray/__init__.py'>)¶ Noise.
Parameters: - arr – mx.nd.array or mx.sym.array.
- F – mx.ndarray or mx.symbol.
Returns: mx.nd.array or mx.sym.array.
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