tf.nn.avg_pool3d( input, ksize, strides, padding, data_format='NDHWC', name=None )
Defined in tensorflow/python/ops/gen_nn_ops.py
.
See the guide: Neural Network > Pooling
Performs 3D average pooling on the input.
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
.
© 2018 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/api_docs/python/tf/nn/avg_pool3d