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Implement CBAM:Convolutional Block Attention Module with TensorFlow

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"X = tf.placeholder(tf.float32, shape=[128, 32, 32, 64])" Would you please explain about X? I infer that 32,32means width and height, how about 128 and 64? Thanks a lot !