tf.math.truediv  |  TensorFlow v2.16.1 (original) (raw)

tf.math.truediv

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Divides x / y elementwise (using Python 3 division operator semantics).

View aliases

Main aliases

tf.truediv

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.math.truediv, tf.compat.v1.truediv

tf.math.truediv(
    x, y, name=None
)

This function forces Python 3 division operator semantics where all integer arguments are cast to floating types first. This op is generated by normalx / y division in Python 3 and in Python 2.7 withfrom __future__ import division. If you want integer division that rounds down, use x // y or tf.math.floordiv.

x and y must have the same numeric type. If the inputs are floating point, the output will have the same type. If the inputs are integral, the inputs are cast to float32 for int8 and int16 and float64 for int32and int64 (matching the behavior of Numpy).

Args
x Tensor numerator of numeric type.
y Tensor denominator of numeric type.
name A name for the operation (optional).
Returns
x / y evaluated in floating point.
Raises
TypeError If x and y have different dtypes.