correction nn_ops_converters

Author: apbose

py/torch_tensorrt/fx/converters/nn_ops_converters.py

@@ -24,12 +24,13 @@ def relu(network, submod, args, kwargs, layer_name):
     )
 
 
+@tensorrt_converter(torch.nn.functional.tanh)
 @tensorrt_converter(torch.nn.modules.activation.Tanh)
 def tanh(network, submod, args, kwargs, layer_name):
     # args/kwargs should have already been normalized to kwargs
     assert len(args) == 0
 
-    activation.sigmoid(
+    return activation.tanh(
         network=network,
         target="torch.nn.modules.activation.Tanh",
         source_ir=SourceIR.NN,