tensorflow::ops::ArgMin

Mengembalikan indeks dengan nilai terkecil di seluruh dimensi tensor.

Ringkasan

Perlu dicatat bahwa jika terjadi seri, identitas nilai yang dikembalikan tidak dijamin.

Penggunaan:

  import tensorflow as tf
  a = [1, 10, 26.9, 2.8, 166.32, 62.3]
  b = tf.math.argmin(input = a)
  c = tf.keras.backend.eval(b)
  # c = 0
  # here a[0] = 1 which is the smallest element of a across axis 0
  

Argumen:

• Cakupan: Objek Cakupan
• dimension: int32 or int64, must be in the range [-rank(input), rank(input)) . Menjelaskan dimensi Tensor input mana yang akan direduksi. Untuk vektor, gunakan dimension = 0.

Mengembalikan:

• Output : Tensor output.

Atribut publik

Operation operation

::tensorflow::Output output

 ArgMin(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input dimension
)

 ArgMin(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input dimension,
  const ArgMin::Attrs & attrs
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Attrs OutputType(
  DataType x
)