MaxPool
MaxPool#
Versioned name: MaxPool-1
Category: Pooling
Short description: Reference
Detailed description: Reference
Attributes:
strides
Description: strides is a distance (in pixels) to slide the window on the feature map over the (z, y, x) axes for 3D poolings and (y, x) axes for 2D poolings. For example, strides equal “4,2,1” means sliding the window 4 pixel at a time over depth dimension, 2 over height dimension and 1 over width dimension.
Range of values: non-negative s64 values.
Type: s64[]
Required: yes
pads_begin
Description: pads_begin is a number of pixels to add to the beginning along each axis. For example, pads_begin equal “1,2” means adding 1 pixel to the top of the input and 2 to the left of the input.
Range of values: non-negative s64 values.
Type: s64[]
Required: yes
Note: the attribute is ignored when auto_pad attribute is specified.
pads_end
Description: pads_end is a number of pixels to add to the ending along each axis. For example, pads_end equal “1,2” means adding 1 pixel to the bottom of the input and 2 to the right of the input.
Range of values: non-negative s64 values.
Type: s64[]
Required: yes
Note: the attribute is ignored when auto_pad attribute is specified.
kernel
Description: kernel is a size of each filter. For example, kernel equal (2, 3) means that each filter has height equal to 2 and width equal to 3.
Range of values: positive s64 values.
Type: s64[]
Required: yes
rounding_type
Description: rounding_type is a type of rounding to be applied.
Range of values:
ceil
floor
Type: string
Default value: floor
Required: no
auto_pad
Description: auto_pad how the padding is calculated. Possible values:
none (not specified): use explicit padding values.
same_upper (same_lower) the input is padded to match the output size. In case of odd padding value an extra padding is added at the end (at the beginning).
valid - do not use padding.
Type: string
Default value: none
Required: no
Note: pads_begin and pads_end attributes are ignored when auto_pad is specified.
dilations
Description: dilations denotes the distance in width and height between elements in the filter. For example, dilation equal 1,1 means that all the elements in the filter are neighbors, so it is the same as for the usual pooling. dilation equal 2,2 means that all the elements in the filter are matched not to adjacent elements in the input matrix, but to those that are adjacent with distance 1.
Range of values: non-negative s64 values.
Type: s64[]
Default value: list of 1(no dilation)
Required: no
data_format
Description: data_format denotes the data format of the input and output data.
Range of values: NXC or NCX (X means HW for 2D, DHW for 3D)
Type: string
Default value: NXC
Required: no
Inputs:
1:
input
- the input tensor. Required.Type: T
Outputs
1:
output
- the result tensor.Type: T
Types:
T: f32, f16, bf16.
Note: Inputs and outputs have the same data type denoted by T. For example, if input is f32 tensor, then all other tensors have f32 data type.
Mathematical Formulation
\[output_{j} = MAX\{ x_{0}, ... x_{i}\}\]