tf.keras.backend.result_type

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.

Args
`dtypes`	Input dtypes.

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"

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2024-06-07 UTC.

tf.keras.backend.result_type

Args

Returns

Examples: