keras/src/random/random.py/gamma
def gamma(shape, alpha, dtype=None, seed=None):
    """Draw random samples from the Gamma distribution.

    Args:
        shape: The shape of the random values to generate.
        alpha: Float, the parameter of the distribution.
        dtype: Optional dtype of the tensor. Only floating point types are
            supported. If not specified, `keras.config.floatx()` is used,
            which defaults to `float32` unless you configured it otherwise (via
            `keras.config.set_floatx(float_dtype)`).
        seed: A Python integer or instance of
            `keras.random.SeedGenerator`.
            Used to make the behavior of the initializer
            deterministic. Note that an initializer seeded with an integer
            or None (unseeded) will produce the same random values
            across multiple calls. To get different random values
            across multiple calls, use as seed an instance
            of `keras.random.SeedGenerator`.
    """
    return backend.random.gamma(shape, alpha=alpha, dtype=dtype, seed=seed)