Performs max pooling on the input.
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Compat aliases for migration
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more details.
tf.compat.v1.raw_ops.MaxPool
tf.raw_ops.MaxPool(
input,
ksize,
strides,
padding,
explicit_paddings=[],
data_format='NHWC',
name=None
)
Args |
input
|
A Tensor . Must be one of the following types: half , bfloat16 , float32 , float64 , int32 , int64 , uint8 , int16 , int8 , uint16 , qint8 .
4-D input to pool over.
|
ksize
|
A list of ints that has length >= 4 .
The size of the window for each dimension of the input tensor.
|
strides
|
A list of ints that has length >= 4 .
The stride of the sliding window for each dimension of the
input tensor.
|
padding
|
A string from: "SAME", "VALID", "EXPLICIT" .
The type of padding algorithm to use.
|
explicit_paddings
|
An optional list of ints . Defaults to [] .
|
data_format
|
An optional string from: "NHWC", "NCHW", "NCHW_VECT_C" . Defaults to "NHWC" .
Specify the data format of the input and output data. With the
default format "NHWC", the data is stored in the order of:
[batch, in_height, in_width, in_channels].
Alternatively, the format could be "NCHW", the data storage order of:
[batch, in_channels, in_height, in_width].
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor . Has the same type as input .
|