code: def hardswish(x: np.ndarray) -> np.ndarray:
      alfa = float(1 / 6)
      beta = 0.5
      return x * np.maximum(0, np.minimum(1, alfa * x + beta))
  
file_path: onnx/onnx/backend/test/case/node/hardswish.py
imports: import numpy
  import onnx
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.node import expect
label_desc: Use image node_id 1 for calling a global function with example usage: hardswish(x) and returns: unknown