tf.experimental.numpy.experimental_enable_numpy_behavior

Enable NumPy behavior on Tensors.

tf.experimental.numpy.experimental_enable_numpy_behavior(
    prefer_float32=False
)

Enabling NumPy behavior has three effects:

It adds to tf.Tensor some common NumPy methods such as T, reshape and ravel.
It changes dtype promotion in tf.Tensor operators to be compatible with NumPy. For example, tf.ones([], tf.int32) + tf.ones([], tf.float32) used to throw a "dtype incompatible" error, but after this it will return a float64 tensor (obeying NumPy's promotion rules).
It enhances tf.Tensor's indexing capability to be on par with NumPy's.

Args
`prefer_float32`	Controls whether dtype inference will use float32 for Python floats, or float64 (the default and the NumPy-compatible behavior).

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Last updated 2021-08-16 UTC.

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