code: def _argmin(data, axis=0, keepdims=True):  # type: ignore
      result = np.argmin(data, axis=axis)
      if keepdims and len(result.shape) < len(data.shape):
          result = np.expand_dims(result, axis)
      return result.astype(np.int64)
  
file_path: onnx/onnx/reference/ops/op_argmin.py
imports: import numpy
  from onnx.reference.op_run import OpRun
label_desc: Use image node_id 1 for calling a global function with example usage: _argmin(data, axis, keepdims) and returns: result