tf.argmin

tf.argmin

tf.argmin

argmin(
    input,
    axis=None,
    name=None,
    dimension=None
)

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

See the guide: Math > Sequence Comparison and Indexing

Returns the index with the smallest value across axes of a tensor.

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, int64, int32, uint8, uint16, int16, int8, complex64, complex128, qint8, quint8, qint32, half.
• axis: A Tensor. Must be one of the following types: int32, int64. int32, 0 <= axis < rank(input). Describes which axis of the input Tensor to reduce across. For vectors, use axis = 0.
• name: A name for the operation (optional).

Returns:

A Tensor of type int64.