- class paddle.amp.debugging. DebugMode ( value )
The DebugMode is a feature that helps to present the state of the TensorCheckerConfig. Each DebugMode has a specific meaning, which is explained below:
DebugMode.CHECK_NAN_INF_AND_ABORT: This mode prints or saves information about Tensors that contain NaN/Inf and interrupts the program.
DebugMode.CHECK_NAN_INF: This mode prints or saves critical information about Tensors that contain NaN/Inf but allows the program to continue running.
DebugMode.CHECK_ALL_FOR_OVERFLOW: This mode checks the output of the FP32 operator and prints or saves information about key Tensors that exceed the FP16 representation range, such as overflow or underflow.
DebugMode.CHECK_ALL: This mode prints or saves output Tensor key information for all operators.