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diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.nn.max_pool.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.nn.max_pool.md new file mode 100644 index 0000000000..f17efa01de --- /dev/null +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.nn.max_pool.md @@ -0,0 +1,21 @@ +### `tf.nn.max_pool(value, ksize, strides, padding, data_format='NHWC', name=None)` {#max_pool} + +Performs the max pooling on the input. + +##### Args: + + +* <b>`value`</b>: A 4-D `Tensor` with shape `[batch, height, width, channels]` and + type `tf.float32`. +* <b>`ksize`</b>: A list of ints that has length >= 4. The size of the window for + each dimension of the input tensor. +* <b>`strides`</b>: A list of ints that has length >= 4. The stride of the sliding + window for each dimension of the input tensor. +* <b>`padding`</b>: A string, either `'VALID'` or `'SAME'`. The padding algorithm. +* <b>`data_format`</b>: A string. 'NHWC' and 'NCHW' are supported. +* <b>`name`</b>: Optional name for the operation. + +##### Returns: + + A `Tensor` with type `tf.float32`. The max pooled output tensor. + |