tf.arg_min

tf.arg_min(
    input,
    dimension,
    output_type=tf.int64,
    name=None
)

Defined in tensorflow/python/ops/gen_math_ops.py.

Returns the index with the smallest value across dimensions of a tensor. (deprecated)

THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use argmin instead

Note that in case of ties the identity of the return value is not guaranteed.

Args:

  • input: A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64.
  • dimension: A Tensor. Must be one of the following types: int32, int64. int32 or int64, must be in the range [-rank(input), rank(input)). Describes which dimension of the input Tensor to reduce across. For vectors, use dimension = 0.
  • output_type: An optional tf.DType from: tf.int32, tf.int64. Defaults to tf.int64.
  • name: A name for the operation (optional).

Returns:

A Tensor of type output_type.