torch.is_anomaly_check_nan_enabled

function is_anomaly_check_nan_enabled(): boolean

Checks if anomaly detection specifically checks for NaN values in gradients.

This is a more specific check than general anomaly detection - it only monitors for NaN values rather than Inf or other numerical issues.

NaN detection is not implemented in torch.js. Use Number.isNaN() to manually check for NaN values in tensor data if needed.

Returns

boolean– Always false in torch.js (anomaly detection not implemented)

// Check if NaN detection is enabled
const enabled = torch.is_anomaly_check_nan_enabled();
// torch.js: always false

function is_anomaly_check_nan_enabled(): boolean

Checks if anomaly detection specifically checks for NaN values in gradients.

This is a more specific check than general anomaly detection - it only monitors for NaN values rather than Inf or other numerical issues.

NaN detection is not implemented in torch.js. Use Number.isNaN() to manually check for NaN values in tensor data if needed.

boolean– Always false in torch.js (anomaly detection not implemented)

// Check if NaN detection is enabled
const enabled = torch.is_anomaly_check_nan_enabled();
// torch.js: always false