code: def test_fake_quantize_adaptive_avgpool1d(output_size):
      x = relay.var("x", shape=[1, 128, 768], dtype="int8")
  
      x = relay.qnn.op.dequantize(x, relay.const(2.0), relay.const(-12))
      op = relay.op.nn.adaptive_avg_pool1d(x, output_size)
      op = relay.qnn.op.quantize(op, relay.const(0.5), relay.const(10))
  
      x_np = np.random.randint(
          -128, 127, size=[1, 128, 768], dtype="int8"
      )
  
      compare_fq_to_int(op, [x_np], True)
  
imports: import numpy
  import pytest
  import tvm
  import tvm.testing
  from tvm import relay
  from tvm.relay.transform import fake_quantization_to_integer
label_desc: Use image node_id 14 for calling a global function with example usage: test_fake_quantize_adaptive_avgpool1d(output_size) without return types