Tensorflow Argmax：“轴”和“尺寸”参数之间有什么区别？

Question

Tensorflow Argmax的当前版本未指定“轴”和“尺寸”参数之间的区别。这是官方手册中提供的唯一信息：

tf.argmax(input, axis=None, name=None, dimension=None) {#argmax}

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

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.

有人可以澄清吗？缩小的尺寸实际上是哪一个？

Answer 1

TensorFlow正在过渡使用，axis而不是dimension即将弃用：https : //www.tensorflow.org/install/migration