clustering-tfjs/dist/tf-adapter.esm.js

High-performance TypeScript clustering algorithms (K-Means, Spectral, Agglomerative) with TensorFlow.js acceleration and scikit-learn compatibility

/**
 * TensorFlow.js adapter module
 *
 * This module provides a platform-agnostic interface to TensorFlow.js,
 * allowing the library to work in both Node.js and browser environments.
 *
 * Phase 2 implementation: For now, we maintain backward compatibility
 * by still importing tfjs-node directly, but the infrastructure for
 * dynamic loading is ready in tf-backend.ts and loaders.
 */
// Handle Windows CI environment where native modules fail
let tf;
if (process.platform === 'win32' && process.env.CI) {
    // Use pure JS implementation on Windows CI
    try {
        tf = require('@tensorflow/tfjs');
    }
    catch (error) {
        console.error('tf-adapter: Failed to load @tensorflow/tfjs on Windows CI');
        throw new Error(`Failed to load TensorFlow.js: ${error instanceof Error ? error.message : String(error)}`);
    }
}
else {
    try {
        // Use Node.js backend for better performance
        tf = require('@tensorflow/tfjs-node');
    }
    catch (error) {
        // Fallback to pure JS if tfjs-node fails to load
        console.warn('tf-adapter: Failed to load @tensorflow/tfjs-node, using pure JS fallback');
        try {
            tf = require('@tensorflow/tfjs');
        }
        catch (fallbackError) {
            console.error('tf-adapter: Failed to load @tensorflow/tfjs fallback');
            throw new Error(`Failed to load TensorFlow.js: ${fallbackError instanceof Error ? fallbackError.message : String(fallbackError)}`);
        }
    }
}
export default tf;
// Re-export everything from the loaded module
export * from '@tensorflow/tfjs-core';