A Tensor. Must be one of the following types: half, bfloat16, float32.
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].
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-08-16 UTC."],[],[]]