disable fake pylint issue
@@ -153,7 +153,7 @@ class TensorFlowAdaptor(Adaptor):
# Get gradient
grads = tape.gradient(loss_value, input_model.trainable_variables) # pylint: disable=no-member
# Optimize the model
- optimizer.apply_gradients(zip(grads, input_model.trainable_variables))
+ optimizer.apply_gradients(zip(grads, input_model.trainable_variables)) # pylint: disable=no-member
if distributed and first_batch:
self.hvd.broadcast_variables(input_model.variables, root_rank=0)
self.hvd.broadcast_variables(optimizer.variables(), root_rank=0)
