def one_hot_encode(data, channels=256):
"""
the return of this function is a numpy array shaped as [C(channels), L(timestep)]
"""
one_hot = np.zeros((channels, data.size), dtype=float)
one_hot[data.ravel(), np.arange(data.size)] = 1
return one_hot
def one_hot_encode(data, channels=256):
#print(data, data.size, data.shape)
one_hot = np.zeros((data.size, channels), dtype=float)
one_hot[np.arange(data.size), data.ravel()] = 1
return one_hot
def onehot(data, n):
buf = np.zeros(data.shape + (n, ))
nmsk = np.arange(data.size)*n + data.ravel()
buf.ravel()[nmsk-1] = 1
return buf
