tf.nn.max_pool2d
Performs the max pooling on the input.
tf.nn.max_pool2d(
input, ksize, strides, padding, data_format='NHWC', name=None
)
| Args | ||
|---|---|---|
input |
A 4-D Tensor of the format specified by data_format. |
|
ksize |
An int or list of ints that has length 1, 2 or 4. The size of the window for each dimension of the input tensor. |
|
strides |
An int or list of ints that has length 1, 2 or 4. The stride of the sliding window for each dimension of the input tensor. |
|
padding |
Either the string"SAME"or"VALID"indicating the type of padding algorithm to use, or a list indicating the explicit paddings at the start and end of each dimension. When explicit padding is used and data_format is"NHWC", this should be in the form[[0, 0], [pad_top, pad_bottom], [pad_left, pad_right], [0, 0]]. When explicit padding used and data_format is"NCHW", this should be in the form[[0, 0], [0, 0], [pad_top, pad_bottom], [pad_left, pad_right]]. When using explicit padding, the size of the paddings cannot be greater than the sliding window size. </td> </tr><tr> <td>data_format</td> <td> A string. 'NHWC', 'NCHW' and 'NCHW_VECT_C' are supported. </td> </tr><tr> <td>name` |
Optional name for the operation. |
| Returns | |
|---|---|
A Tensor of format specified by data_format. The max pooled output tensor. |
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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/nn/max_pool2d