tf.debugging.check_numerics

Defined in generated file: python/ops/gen_array_ops.py

Checks a tensor for NaN and Inf values.

Aliases:

• tf.check_numerics
• tf.compat.v1.check_numerics
• tf.compat.v1.debugging.check_numerics
• tf.compat.v2.debugging.check_numerics

tf.debugging.check_numerics(
    tensor,
    message,
    name=None
)

When run, reports an InvalidArgument error if tensor has any values that are not a number (NaN) or infinity (Inf). Otherwise, passes tensor as-is.

Args:

• tensor: A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
• message: A string. Prefix of the error message.
• name: A name for the operation (optional).

Returns:

A Tensor. Has the same type as tensor.