Mercurial > pylearn
changeset 25:b63e8c0bf21b
added __init__.py, fixed crossentropy_softmax_1hot function name
| author | bergstrj@iro.umontreal.ca |
|---|---|
| date | Thu, 10 Apr 2008 20:53:44 -0400 |
| parents | 2e8be9f5412b |
| children | e6c550cb2896 |
| files | __init__.py _nnet_ops.py nnet_ops.py |
| diffstat | 2 files changed, 3 insertions(+), 3 deletions(-) [+] |
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--- a/_nnet_ops.py Thu Apr 10 17:25:13 2008 -0400 +++ b/_nnet_ops.py Thu Apr 10 20:53:44 2008 -0400 @@ -18,7 +18,7 @@ def test0(self): y_idx = [0,1,3] def output1(a): - return cross_entropy_softmax_1hot(a, y_idx)[0:1] + return crossentropy_softmax_1hot(a, y_idx)[0:1] TT.verify_grad(self, output1, [numpy.random.rand(3,4)])
--- a/nnet_ops.py Thu Apr 10 17:25:13 2008 -0400 +++ b/nnet_ops.py Thu Apr 10 20:53:44 2008 -0400 @@ -51,7 +51,7 @@ def grad(self, (x, y_idx), (g_nll, g_sm)): if g_sm is not None: raise NotImplementedError() - nll, sm = cross_entropy_softmax_1hot(x, y_idx) + nll, sm = crossentropy_softmax_1hot(x, y_idx) dx = CrossentropySoftmax1Hot.Dx(g_nll, sm, y_idx).outputs[0] return dx, None @@ -74,7 +74,7 @@ self.outputs[0].data = dx def grad(self, *args): raise NotImplementedError() -cross_entropy_softmax_1hot = gof.op.constructor(CrossentropySoftmax1Hot) +crossentropy_softmax_1hot = gof.op.constructor(CrossentropySoftmax1Hot) #TODO: write a version of CrossentropySoftmax1Hot that accepts a bias for x, if # this op needs to be faster.