Module validation 

Input Validation Utilities

This module provides comprehensive validation utilities to prevent runtime panics and ensure data integrity across the OCR pipeline.

Functions

validate_batch_size

Validates that tensor batch size is positive.

validate_division

Validates division operands to prevent division by zero.

validate_finite

Validates that a float value is finite (not NaN or infinite).

validate_image_dimensions

Validates image dimensions.

validate_index_bounds

Validates that array index is within bounds.

validate_non_empty

Validates that a collection is not empty.

validate_non_negative

Validates that a value is non-negative (>= 0).

validate_normalization_params

Validates normalization parameters (mean and std).

validate_positive

Validates that a value is positive (> 0).

validate_range

Validates that a value is within a specified range (inclusive).

validate_same_length

Validates that two collections have the same length.

validate_tensor_shape

Validates tensor shape dimensions.