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/TensorFlow 2.4

tf.raw_ops.MaxPoolGradGradWithArgmax

Computes second-order gradients of the maxpooling function.

Args
input 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 input 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.
name A name for the operation (optional).
Returns
A Tensor. Has the same type as input.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/MaxPoolGradGradWithArgmax