I want to know how to make chainer support float64 precision calculations. Below is my simple Autoencoder code I wrote in chainer. Initially I was running it with float32 dtype but now I want to test out float64 precision how do I do that ?
class AutoEncoder(chainer.Chain):
def __init__(self, num_input=1024, num_hidden=512, activate=F.leaky_relu, dropout_ratio=0.0):
super(AutoEncoder, self).__init__(
encoder=L.Linear(num_input, num_hidden),
decoder=L.Linear(num_hidden, num_input))
self.num_input = num_input
self.num_hidden = num_hidden
self.activate = activate
self.dropout_ratio = dropout_ratio
def __call__(self, x, hidden=False):
h = F.dropout(self.activate(self.encoder(x)), ratio=self.dropout_ratio)
if hidden:
return h
y = F.dropout((self.decoder(h)), ratio=self.dropout_ratio)
return y
When I try to run this with float64 data, it raises a dtype mismatch error.