Performs the max pooling on the input.
tf.compat.v1.nn.max_pool(
value, ksize, strides, padding, data_format='NHWC', name=None,
input=None
)
Args |
|---|
value
|
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</td>
<td>
Optional name for the operation.
</td>
</tr><tr>
<td>input`
|
Alias for value.
|
Returns |
|---|
A Tensor of format specified by data_format.
The max pooled output tensor.
|
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