tf.extract_volume_patches  Extract patches from input and put them in the "depth" output dimension. 3D extension of extract_image_patches.  View aliases  Compat aliases for migration 
See Migration guide for more details. tf.compat.v1.extract_volume_patches  
tf.extract_volume_patches(
    input, ksizes, strides, padding, name=None
)

 


 Args
  input   A Tensor. 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 of ints that has length >= 5. The size of the sliding window for each dimension of input.  
  strides   A list of ints that has length >= 5. 1-D of length 5. How far the centers of two consecutive patches are in input. Must be: [1, stride_planes, stride_rows, stride_cols, 1].  
  padding   A string from: "SAME", "VALID". The type of padding algorithm to use. The size-related attributes are specified as follows: 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.  
  

    
{'path': 'public/docs/tensorflow~2.9/extract_volume_patches.html', 'source': 'DevDocs.IO'}