A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
The original input.
grad
A Tensor. Must have the same type as input.
4-D with shape [batch, height, width, channels]. Gradients w.r.t. the
output of max_pool.
argmax
A Tensor. Must be one of the following types: int32, int64.
The indices of the maximum values chosen for each output of max_pool.
ksize
A list of ints that has length >= 4.
The size of the window for each dimension of the input tensor.
strides
A list of ints that has length >= 4.
The stride of the sliding window for each dimension of the
input tensor.
padding
A string from: "SAME", "VALID".
The type of padding algorithm to use.
include_batch_in_index
An optional bool. Defaults to False.
Whether to include batch dimension in flattened index of argmax.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]