tf.debugging.assert_same_float_dtype

Aliases:

  • tf.assert_same_float_dtype
  • tf.contrib.framework.assert_same_float_dtype
  • tf.debugging.assert_same_float_dtype
tf.debugging.assert_same_float_dtype(
    tensors=None,
    dtype=None
)

Defined in tensorflow/python/ops/check_ops.py.

Validate and return float type based on tensors and dtype.

For ops such as matrix multiplication, inputs and weights must be of the same float type. This function validates that all tensors are the same type, validates that type is dtype (if supplied), and returns the type. Type must be a floating point type. If neither tensors nor dtype is supplied, the function will return dtypes.float32.

Args:

  • tensors: Tensors of input values. Can include None elements, which will be ignored.
  • dtype: Expected type.

Returns:

Validated type.

Raises:

  • ValueError: if neither tensors nor dtype is supplied, or result is not float, or the common type of the inputs is not a floating point type.