tf.nn.max_pool3d(
input,
ksize,
strides,
padding,
data_format='NDHWC',
name=None
)
Defined in generated file: tensorflow/python/ops/gen_nn_ops.py
.
Performs 3D max pooling on the input.
Args:
input
: ATensor
. Must be one of the following types:half
,bfloat16
,float32
. 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
.