tf.nn.avg_pool3d
tf.nn.avg_pool3d
tf.nn.avg_pool3d
avg_pool3d( input, ksize, strides, padding, data_format=None, name=None )
Defined in tensorflow/python/ops/gen_nn_ops.py
.
See the guide: Neural Network > Pooling
Performs 3D average pooling on the input.
Args:
-
input
: ATensor
. Must be one of the following types:float32
,float64
. Shape[batch, depth, rows, cols, channels]
tensor to pool over. -
ksize
: A list ofints
that has length>= 5
. 1-D tensor of length 5. The size of the window for each dimension of the input tensor. Must haveksize[0] = ksize[4] = 1
. -
strides
: A list ofints
that has length>= 5
. 1-D tensor of length 5. The stride of the sliding window for each dimension ofinput
. Must havestrides[0] = strides[4] = 1
. -
padding
: Astring
from:"SAME", "VALID"
. The type of padding algorithm to use. -
data_format
: An optionalstring
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).
Returns:
A Tensor
. Has the same type as input
. The average pooled output tensor.
© 2017 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