tensorflow::ops::QuantizedAvgPool

Produces the average pool of the input tensor for quantized types.

Summary

Args:

• scope: A Scope object
• input: 4-D with shape [batch, height, width, channels].
• min_input: The float value that the lowest quantized input value represents.
• max_input: The float value that the highest quantized input value represents.
• ksize: The size of the window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input.
• strides: The stride of the sliding window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input.
• padding: The type of padding algorithm to use.

Returns:

• Output output
• Output min_output: The float value that the lowest quantized output value represents.
• Output max_output: The float value that the highest quantized output value represents.

Public attributes

::tensorflow::Output max_output

::tensorflow::Output min_output

Operation operation

::tensorflow::Output output

Public functions

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