code: def __call__(self, x):  # NCHW
      *start, nx = x.shape
      assert nx == self.nx
  
      return np.reshape(
          np.matmul(
              np.reshape(x, [-1, self.nx]),
              np.reshape(self.w.value, [-1, self.nf]),
          )
          + self.b.value,
          start + [self.nf],
      )
  
imports: import json
  import os
  import sys
  import jax.numpy
  import numpy
  import objax
  from objax.variable import TrainVar
label_desc: Use image node_id 2 for calling the Conv1D obj's underlying member method code with example usage: obj.__call__(x) and returns: np