Performs max pooling on the input.
tf.raw_ops.MaxPoolV2(
input, ksize, strides, padding, 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 Tensor of type int32.
The size of the window for each dimension of the input tensor.
|
strides
|
A Tensor of type int32.
The stride of the sliding window for each dimension of the
input tensor.
|
padding
|
A string from: "SAME", "VALID".
The type of padding algorithm to use.
|
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.
|
