tf.raw_ops.AvgPool3D

Performs 3D average pooling on the input.

tf.raw_ops.AvgPool3D(
    input, ksize, strides, padding, data_format='NDHWC', name=None
)

Each entry in output is the mean of the corresponding size ksize window in value.

input A Tensor. Must be one of the following types: half, bfloat16, float32, float64. Shape [batch, depth, rows, cols, channels] tensor to pool over.
ksize A list of ints that has length >= 5. 1-D tensor of length 5. The size of the window for each dimension of the input tensor. Must have ksize[0] = ksize[4] = 1.
strides A list of ints that has length >= 5. 1-D tensor of length 5. The stride of the sliding window for each dimension of input. Must have strides[0] = strides[4] = 1.
padding A string from: "SAME", "VALID". The type of padding algorithm to use.
data_format An optional string from: "NDHWC", "NCDHW". Defaults to "NDHWC". The data format of the input and output data. With the default format "NDHWC", the data is stored in the order of: [batch, in_depth, in_height, in_width, in_channels]. Alternatively, the format could be "NCDHW", the data storage order is: [batch, in_channels, in_depth, in_height, in_width].
name A name for the operation (optional).

A Tensor. Has the same type as input.