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ravel() returns a view when the 1D elements are contiguous in memory but would return a copy if for example a were made from slicing another array using a nonunit step size (eg a = x[2]) If you want a copy rather than a view use In [15] c = aflatten() If you just want an iterator use npndarrayflat In [20] d = aflat In [21] d Out[21] In.

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I would like to use 1DConv layer following by LSTM layer to classify a 16channel 400timestep signal The input shape is composed of X = (n_samples n_timesteps n_features) where n_samples=476 n_timesteps=400 n_features=16 are the number of samples timesteps and features (or channels) of the signal y = (n_samples n_timesteps 1.