nier_to_onnx.t

Test verify
  $ . ./setup_env.sh

  $ bin/pyrat.py --version
  PyRAT 1.1

  $ caisar verify --format whyml --prover=PyRAT --ltag=NIER --onnx-out-dir="out" - 2>&1 <<EOF | ./filter_tmpdir.sh
  > theory NIER_to_ONNX
  >   use ieee_float.Float64
  >   use bool.Bool
  >   use int.Int
  >   use interpretation.Vector
  >   use interpretation.NeuralNetwork
  > 
  >   constant nn: nn = read_neural_network "TestNetworkONNX.onnx" ONNX
  > 
  >   goal G:
  >     forall i: vector t.
  >       has_length i 3 ->
  >       (0.5:t) .<= i[0] .<= (0.5:t) ->
  >       (0.5:t) .< (nn@@i)[0] .< (0.5:t)
  > end
  > EOF
  [DEBUG]{NIER} Wrote NIER as ONNX in file 'out/TestNetworkONNX.nier.onnx'
  Goal G: Unknown ()

Data should be 0.135

  $ python3 bin/inspect_onnx.py
  Initializer name 12 has data 0.135