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add positional control to convolution

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Connor Olding 2017-08-02 06:47:37 +00:00
parent 5074dcb2aa
commit e4fa5bf63f
1 changed files with 21 additions and 4 deletions
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25
onn.py
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@ -497,15 +497,27 @@ class Conv1Dper(Layer):
'b': 'biases',
}
def __init__(self, kernel_size, bias=True,
def __init__(self, kernel_size, bias=True, pos=None,
init=init_glorot_uniform, reg_w=None, reg_b=None):
super().__init__()
self.kernel_size = int(kernel_size)
self.bias = bool(bias)
self.coeffs = self._new_weights('coeffs', init=init, regularizer=reg_w)
self.biases = self._new_weights('biases', init=init_zeros, regularizer=reg_b)
self.wrap0 = (self.kernel_size - 0) // 2
self.wrap1 = (self.kernel_size - 1) // 2
if pos is None:
self.wrap0 = (self.kernel_size - 0) // 2
self.wrap1 = (self.kernel_size - 1) // 2
elif pos == 'alt':
self.wrap0 = (self.kernel_size - 1) // 2
self.wrap1 = (self.kernel_size - 0) // 2
elif pos == 'left':
self.wrap0 = 0
self.wrap1 = self.kernel_size - 1
elif pos == 'right':
self.wrap0 = self.kernel_size - 1
self.wrap1 = 0
else:
raise Exception("pos parameter not understood: {}".format(pos))
def make_shape(self, parent):
shape = parent.output_shape
@ -516,7 +528,12 @@ class Conv1Dper(Layer):
self.biases.shape = (1, shape[0])
def forward(self, X):
Xper = np.hstack((X[:,-self.wrap0:],X,X[:,:self.wrap1]))
if self.wrap0 == 0:
Xper = np.hstack((X,X[:,:self.wrap1]))
elif self.wrap1 == 0:
Xper = np.hstack((X[:,-self.wrap0:],X))
else:
Xper = np.hstack((X[:,-self.wrap0:],X,X[:,:self.wrap1]))
self.cols = rolling_batch(Xper, self.kernel_size)
convolved = (self.cols * self.coeffs.f[:,::-1]).sum(2)
if self.bias: