Add Abs

Author: lantiga

test/base.py

@@ -37,7 +37,7 @@ def base_test():
     model6 = lambda x: fc3(F.max_pool2d(x.unsqueeze(dim=0),2).squeeze())
     model7 = lambda x: fc3(F.max_pool2d(x.unsqueeze(dim=0),2).squeeze(dim=0))
     model8 = lambda x: fc3(F.max_pool3d(x.unsqueeze(0),2).squeeze())
-    model9 = lambda x: fc3(F.max_pool1d(x.view(1,1,-1),4).squeeze().view(10,10))
+    model9 = lambda x: fc3(F.max_pool1d(x.abs().view(1,1,-1),4).squeeze().view(10,10))
 
     data = Variable(torch.rand(10,10))
     data2 = Variable(torch.rand(20,20))

torch2c/emitters.py

@@ -640,6 +640,29 @@ def free_tpl(self):
 register(Tanh, torch.autograd._functions.pointwise.Tanh)
 
 
+class Abs(Emitter):
+
+    def __init__(self, obj, prevfns):
+        Emitter.__init__(self, obj, prevfns)
+        self.def_vars({
+            'input': id(prevfns[0]),
+        })
+        self.infer_type_var = 'input'
+
+    def call_tpl(self):
+        return '''
+            TH${T}Tensor *$id = TH${T}Tensor_new();
+            THNN_${T}Abs_updateOutput(NULL,$input,$id);
+            '''
+
+    def free_tpl(self):
+        return '''
+            TH${T}Tensor_free($id);
+            '''
+
+register(Abs, torch.autograd._functions.pointwise.Abs)
+
+
 class Sigmoid(Emitter):
 
     def __init__(self, obj, prevfns):