def func(b):
self.layer.b = b.reshape(self.layer.b.shape)
Y, meta, fprop_state = self.layer.fprop(self.X,
meta=dict(self.meta))
meta['space_below'] = meta['space_above']
c, meta, cost_state = cost.fprop(Y, self.Y, meta=dict(meta))
return c
def grad(b):
self.layer.b = b.reshape(self.layer.b.shape)
Y, meta, fprop_state = self.layer.fprop(self.X, meta=dict(self.meta))
meta['space_below'] = meta['space_above']
c, meta, cost_state = cost.fprop(Y, self.Y, meta=dict(meta))
delta, meta = cost.bprop(Y, self.Y, meta=dict(meta), fprop_state=cost_state)
meta['space_above'] = meta['space_below']
[_, grad_b] = self.layer.grads(delta, meta=dict(meta), fprop_state=fprop_state)
return grad_b.ravel()
def grad(b):
self.layer.b = b.reshape(self.layer.b.shape)
Y, meta, fprop_state = self.layer.fprop(self.X,
meta=dict(self.meta))
meta['space_below'] = meta['space_above']
c, meta, cost_state = cost.fprop(Y, self.Y, meta=dict(meta))
delta, meta = cost.bprop(Y,
self.Y,
meta=dict(meta),
fprop_state=cost_state)
meta['space_above'] = meta['space_below']
[_, grad_b] = self.layer.grads(delta,
meta=dict(meta),
fprop_state=fprop_state)
return grad_b.ravel()
def func(b):
self.layer.b = b.reshape(self.layer.b.shape)
Y, meta, fprop_state = self.layer.fprop(self.X, meta=dict(self.meta))
meta['space_below'] = meta['space_above']
c, meta, cost_state = cost.fprop(Y, self.Y, meta=dict(meta))
return c
