tf.contrib.layers.max_pool2d(
inputs,
kernel_size,
stride=2,
padding='VALID',
data_format=DATA_FORMAT_NHWC,
outputs_collections=None,
scope=None
)
Defined in tensorflow/contrib/layers/python/layers/layers.py
.
Adds a 2D Max Pooling op.
It is assumed that the pooling is done per image but not in batch or channels.
Args:
inputs
: A 4-D tensor of shape[batch_size, height, width, channels]
ifdata_format
isNHWC
, and[batch_size, channels, height, width]
ifdata_format
isNCHW
.kernel_size
: A list of length 2: [kernel_height, kernel_width] of the pooling kernel over which the op is computed. Can be an int if both values are the same.stride
: A list of length 2: [stride_height, stride_width]. Can be an int if both strides are the same. Note that presently both strides must have the same value.padding
: The padding method, either 'VALID' or 'SAME'.data_format
: A string.NHWC
(default) andNCHW
are supported.outputs_collections
: The collections to which the outputs are added.scope
: Optional scope for name_scope.
Returns:
A Tensor
representing the results of the pooling operation.
Raises:
ValueError
: Ifdata_format
is neitherNHWC
norNCHW
.ValueError
: If 'kernel_size' is not a 2-D list