tf.debugging.assert_same_float_dtype

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Validate and return float type based on tensors and dtype.

View aliases

Main aliases

`tf.assert_same_float_dtype`, `tf.contrib.framework.assert_same_float_dtype`

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.assert_same_float_dtype, tf.compat.v1.debugging.assert_same_float_dtype, `tf.compat.v2.debugging.assert_same_float_dtype`

tf.debugging.assert_same_float_dtype(
    tensors=None, dtype=None
)

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.