[python] What is the difference between 'SAME' and 'VALID' padding in tf.nn.max_pool of tensorflow?

Tensorflow 2.0 Compatible Answer: Detailed Explanations have been provided above, about "Valid" and "Same" Padding.

However, I will specify different Pooling Functions and their respective Commands in Tensorflow 2.x (>= 2.0), for the benefit of the community.

Functions in 1.x:

tf.nn.max_pool

tf.keras.layers.MaxPool2D

Average Pooling => None in tf.nn, tf.keras.layers.AveragePooling2D

Functions in 2.x:

tf.nn.max_pool if used in 2.x and tf.compat.v1.nn.max_pool_v2 or tf.compat.v2.nn.max_pool, if migrated from 1.x to 2.x.

tf.keras.layers.MaxPool2D if used in 2.x and

tf.compat.v1.keras.layers.MaxPool2D or tf.compat.v1.keras.layers.MaxPooling2D or tf.compat.v2.keras.layers.MaxPool2D or tf.compat.v2.keras.layers.MaxPooling2D, if migrated from 1.x to 2.x.

Average Pooling => tf.nn.avg_pool2d or tf.keras.layers.AveragePooling2D if used in TF 2.x and

tf.compat.v1.nn.avg_pool_v2 or tf.compat.v2.nn.avg_pool or tf.compat.v1.keras.layers.AveragePooling2D or tf.compat.v1.keras.layers.AvgPool2D or tf.compat.v2.keras.layers.AveragePooling2D or tf.compat.v2.keras.layers.AvgPool2D , if migrated from 1.x to 2.x.

For more information about Migration from Tensorflow 1.x to 2.x, please refer to this Migration Guide.

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