Hi All!
I’m running the Multilayer Perceptron example from “Gluon, The Straight Dope”, and as soon as I get to the part where I send data to the network, I’m getting a NotImplementedError
, which strikes me as incredibly odd.
I’ve installed mxnet and mxnet version 1.1.0 using pip.
You can see the network in question at the link, but here’s the relevant code:
class MLP(gluon.Block):
def __init__(self, **kwargs):
super(MLP, self).__init__(**kwargs)
with self.name_scope():
self.dense0 = gluon.nn.Dense(64)
self.dense1 = gluon.nn.Dense(64)
self.dense2 = gluon.nn.Dense(10)
def forward(self, x):
x = nd.relu(self.dense0(x))
x = nd.relu(self.dense1(x))
x = self.dense2(x)
return x
net = MLP()
net.collect_params().initialize(mx.init.Normal(sigma=.01), ctx=model_ctx)
data = nd.ones((1, 784))
net(data.as_in_context(model_ctx))
And the stacktrace is:
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
<ipython-input-5-b3e69bb45f2b> in <module>()
1 data = nd.ones((1, 784))
----> 2 net(data.as_in_context(model_ctx))
.../site-packages/mxnet/gluon/block.py in __call__(self, *args)
358 def __call__(self, *args):
359 """Calls forward. Only accepts positional arguments."""
--> 360 return self.forward(*args)
361
362 def forward(self, *args):
.../site-packages/mxnet/gluon/block.py in forward(self, *args)
370 """
371 # pylint: disable= invalid-name
--> 372 raise NotImplementedError
373
374
NotImplementedError: