message: chore: Fix fp16 functionality for fx2trt backend
diff: @@ -120,13 +120,15 @@ def run_fx2trt(model, input_tensors, params, precision, batch_size):
  precision = LowerPrecision.FP32
  elif precision == "fp16":
  precision = LowerPrecision.FP16
  + model.half()
  + input_tensors = [tensor.half() for tensor in input_tensors]
  # Run lowering eager mode benchmark
  model = lower_to_trt(
  model,
  input_tensors,
  max_batch_size=batch_size,
  lower_precision=precision,
  - verbose_log=True,
  + verbose_log=False,
  )
  iters = params.get('iterations', 20)
  