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tf.debugging.assert_same_float_dtype Stay organized with collections Save and categorize content based on your preferences.

Validate and return float type based on tensors and dtype.

View aliases

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.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.

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

Validated type.

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.

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Last updated 2024-04-26 UTC.

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