tf.nn.max_pool2d——tf2.1 Document

參考自tf2.1官方文檔:
https://www.tensorflow.org/api_docs/python/tf/nn/max_pool2d

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Performs the max pooling on the input.
用於在輸入中進行max pooling操作

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.
• input: 由data_format指定的4D張量
• 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.
• ksize: 一個整數或者長度爲1,2或4的整型列表。指定輸入張量每個維度的窗口大小。
• 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.
• strides: 一個整數或者長度爲1,2或4的整型列表。指定輸入張量每個維度的移動的步長
• padding: A string, either ‘VALID’ or ‘SAME’. The padding algorithm. See the “returns” section of tf.nn.convolution for details.
• padding: 一個字符串，可以是'VALID'或者是SAME。
• data_format: A string. ‘NHWC’, ‘NCHW’ and ‘NCHW_VECT_C’ are supported.
• data_format: 一個字符串，支持'NHWC', 'NCHW' 和 'NCHW_VECT_C'
• name: Optional name for the operation.
• name: 操作的名字

Returns:

• A Tensor of format specified by data_format. The max pooled output tensor.
• 返回經過 max pooling的張量，該張量的格式被data_format所指定