How to handle the CallNode in the composite function

Questions
#1

Hi All, There is a problem encountered when I handle the composite relay function generated by the function pattern. Here is the relay function

def @dla_136(%dla_136_i0: Tensor[(1, 1024), float32], global_symbol="dla_136", Primitive=1, Compiler="dla", Inline=1) -> Tensor[(1, 1000), float32] {
  %1 = fn (%FunctionVar_0_0: Tensor[(1, 1024), float32], PartitionedFromPattern="nn.dense_nn.bias_add_", Composite="dla.fully_connected") -> Tensor[(1, 1000), float32] {
    %0 = nn.dense(%FunctionVar_0_0, meta[relay.Constant][21] /* ty=Tensor[(1000, 1024), float32] */, units=1000) /* ty=Tensor[(1, 1000), float32] */;
    nn.bias_add(%0, meta[relay.Constant][22] /* ty=Tensor[(1000), float32] */) /* ty=Tensor[(1, 1000), float32] */
  };
  %1(%dla_136_i0) /* ty=Tensor[(1, 1000), float32] */
}

This is the CallNode printed in the console:

CallNode(FunctionNode([Var(FunctionVar_0_0, ty=TensorType([1, 1024], float32))], TensorType([1, 1000], float32), CallNode(Op(nn.bias_add), [CallNode(Op(nn.dense), [Var(FunctionVar_0_0, ty=TensorType([1, 1024], float32)), Constant([[ 0.01154809 -0.04707341  0.03385051 ...  0.02398612  0.01679329
  -0.0250933 ]
 [ 0.00369286  0.01051055 -0.01866431 ...  0.00179541  0.02192218
  -0.05411814]
 [ 0.00508083  0.02755543 -0.02669334 ...  0.02621078  0.0074419
  -0.01877585]
 ...
 [-0.03591136  0.03892266  0.05137718 ... -0.00072268  0.01797736
   0.01566453]
 [ 0.03434232 -0.01243253  0.02552735 ... -0.04660797 -0.00948237
   0.00152386]
 [-0.00298421 -0.05273126 -0.01858438 ...  0.04027593  0.00367137
   0.05054771]])], relay.attrs.DenseAttrs(0x2ef0a28), [TensorType([1, 1024], float32), TensorType([1000, 1024], float32)]), Constant([0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
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 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.])], relay.attrs.BiasAddAttrs(0x2ef09a8), [TensorType([1, 1000], float32), TensorType([1000], float32)]), [], {"PartitionedFromPattern": "nn.dense_nn.bias_add_", "Composite": "dla.fully_connected"}), [Var(dla_136_i0, ty=TensorType([1, 1024], float32))], (nullptr), [])

There is a problem that I have to handle the CallNode inside the composite function, which is corespond to this sentence in the Relay IR function %1(%dla_136_i0) /* ty=Tensor[(1, 1000), float32] */ I always get the errors as follows:

TVMError:
Error(s) have occurred. The program has been annotated with them:

Any kindly help is more than appreciated!

#2

It seems that it’s a VarNode

#3

Please ignore the little noise, this issue is settled now