tf.extract_volume_patches(
input,
ksizes,
strides,
padding,
name=None
)
Defined in generated file: tensorflow/python/ops/gen_array_ops.py
.
Extract patches
from input
and put them in the "depth" output dimension. 3D extension of extract_image_patches
.
Args:
input
: ATensor
. Must be one of the following types:float32
,float64
,int32
,uint8
,int16
,int8
,int64
,bfloat16
,uint16
,half
,uint32
,uint64
. 5-D Tensor with shape[batch, in_planes, in_rows, in_cols, depth]
.ksizes
: A list ofints
that has length>= 5
. The size of the sliding window for each dimension ofinput
.strides
: A list ofints
that has length>= 5
. 1-D of length 5. How far the centers of two consecutive patches are ininput
. Must be:[1, stride_planes, stride_rows, stride_cols, 1]
.padding
: Astring
from:"SAME", "VALID"
. The type of padding algorithm to use.We specify the size-related attributes as:
ksizes = [1, ksize_planes, ksize_rows, ksize_cols, 1] strides = [1, stride_planes, strides_rows, strides_cols, 1]
name
: A name for the operation (optional).
Returns:
A Tensor
. Has the same type as input
.