AvgPool

tensorflow C++ API

tensorflow::ops::AvgPool

Performs average pooling on the input.

Summary

Each entry inoutputis the mean of the corresponding sizeksizewindow invalue.

Arguments:

• scope: A Scope object
• value: 4-D with shape [batch, height, width, channels].
• ksize: The size of the sliding window for each dimension of value.
• strides: The stride of the sliding window for each dimension ofvalue.
• padding: The type of padding algorithm to use.

Optional attributes (seeAttrs):

• 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 average pooled output tensor.

AvgPool block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_nn.cpp

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
• Input input: connect Input node.
• ArraySlice< int> ksize: input ksize in values. ex)1,1,1,1
• ArraySlice< int> strides: input ksize in values. ex)1,3,2,1
• stringpiece padding: input padding in value. ex)SAME
• AvgPool ::Attrs attrs: input attrs in values )data_format_ = NHWC;

Return:

• Output output : Output object of AvgPool class object.

Result:

• std::vector(Tensor) result_output : Returned object of executed result by calling session.

Using Method