tensorflow::ops::MaxPool

Performs max pooling on the input.

Summary

Arguments:

• scope: A Scope object
• input: 4-D input to pool over.
• ksize: The size of the window for each dimension of the input tensor.
• strides: The stride of the sliding window for each dimension of the input tensor.
• padding: The type of padding algorithm to use.

Optional attributes (see Attrs):

• data_format: Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width].

Returns:

• Output: The max pooled output tensor.

Public attributes

Operation operation

::tensorflow::Output output

 MaxPool(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  const gtl::ArraySlice< int > & ksize,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding
)

 MaxPool(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  const gtl::ArraySlice< int > & ksize,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding,
  const MaxPool::Attrs & attrs
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Attrs DataFormat(
  StringPiece x
)

Attrs ExplicitPaddings(
  const gtl::ArraySlice< int > & x
)