max_pool2d¶
dragon.vm.tensorflow.nn.
max_pool2d
(
input,
ksize,
strides,
padding='VALID',
data_format='NHWC',
name=None
)[source]¶Apply the 2d max pooling.
- If
data_format
is'NCHW'
, excepts input shape \((N, C, H, W)\), and output shape is \((N, C, H_{\text{out}}, W_{\text{out}})\). - If
data_format
is'NHWC'
, excepts input shape \((N, H, W, C)\), and output shape is \((N, H_{\text{out}}, W_{\text{out}}, C)\). padding
could be'VALID'
,'SAME'
or explicit padding size.
Examples:
x = tf.ones((1, 2, 2, 2)) y = tf.nn.max_pool2d(x, ksize=2, strides=2) assert y.shape == (1, 1, 1, 2)
- Parameters:
- input (dragon.Tensor) – The input tensor.
- ksize (Union[int, Sequence[int]]) – The size of pooling window.
- strides (Union[int, Sequence[int]], optional) – The stride of pooling window.
- padding (Union[int, Sequence[int], str], optional, default='VALID') – The padding algorithm or size.
- data_format (str, optional, default='NHWC') –
'NCHW'
or'NHWC'
. - name (str, optional) – The operation name.
- Returns:
dragon.Tensor – The output tensor.
- If