Module common 

Common types and utilities for convolutional and pooling layers

This module provides shared types, enums, and utility functions used across all convolutional and pooling layer implementations including padding modes, type aliases for caching, and common validation functions.

Enums

PaddingMode

Padding mode for convolutional layers

Functions

calculate_adaptive_pooling_params

Calculate adaptive pooling parameters

calculate_outputshape

Calculate output shape for convolution operations

validate_conv_params

Validate convolution parameters

Type Aliases

MaxIndicesCache

Type alias for caching max indices in 2D pooling operations

MaxIndicesCache3D

Type alias for caching max indices in 3D pooling operations