class_docstr: Computes the indices of the minimum value across dimensions of a tensor.
  In case of ties, the identity of the return value is not guaranteed.
  
  Parameters
  ----------
  x: <\*,T> (Required)
      * Must be 1-dimensional or higher.
  
  axis: const<i32> (Optional)
      * The dimension to reduce. Default is ``-1``.
  
  keep_dims: const<bool> (Optional, default=False)
      * If ``False``, the rank is reduced by ``1`` by removing the dimension specified
        in ``axis``, otherwise retain reduced axis with length ``1``.
  
  Returns
  -------
  <\*, int32>
  
  Attributes
  ----------
  T: fp16, fp32, i32
  
  References
  ----------
  See `tf.math.argmin <https://www.tensorflow.org/api_docs/python/tf/math/argmin>`_.
code: def get_operator(self):
      return np.argmin
  
imports: import numpy
  from coremltools.converters.mil.mil import Operation, precondition, types
  from coremltools.converters.mil.mil.input_type import DefaultInputs, InputSpec, TensorInputType
  from coremltools.converters.mil.mil.operation import VALUE
  from coremltools.converters.mil.mil.ops.defs._op_reqs import register_op
  from coremltools.converters.mil.mil.types import nptype_from_builtin
label_desc: Use image node_id 1 for calling the reduce_argmin obj's underlying member method code with example usage: obj.get_operator() and returns: np