Returns the type from applying the Keras type promotion rules.
tf.keras.backend.result_type(
*dtypes
)
In general, each argument is first parsed by backend.standardize_dtype
,
and the resulting dtype is determined by the least upper bound of the type
promotion lattice.
Returns | |
---|---|
The result dtype. |
Examples:
x = keras.ops.ones((1,), dtype="bfloat16")
keras.backend.result_type(x.dtype, int)
"bfloat16"
x = keras.ops.ones((1,), dtype="int32")
y = keras.ops.ones((1,), dtype="float32")
keras.backend.result_type(x.dtype, y.dtype)
"float32"