Performs max pooling on the input.
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/MaxPool