neulab/docprompting-conala huggingface dataset:
tf.experimental.numpy.array TensorFlow variant of NumPy's array. 
tf.experimental.numpy.array(
    val, dtype=None, copy=True, ndmin=0
)
 Since Tensors are immutable, a copy is made only if val is placed on a different device than the current one. Even if copy is False, a new Tensor may need to be built to satisfy dtype and ndim. This is used only if val is an ndarray or a Tensor. See the NumPy documentation for numpy.array.
tf.experimental.numpy.array_equal TensorFlow variant of NumPy's array_equal. 
tf.experimental.numpy.array_equal(
    a1, a2
)
 Unsupported arguments: equal_nan. See the NumPy documentation for numpy.array_equal.
tf.experimental.numpy.asanyarray TensorFlow variant of NumPy's asanyarray. 
tf.experimental.numpy.asanyarray(
    a, dtype=None
)
 Unsupported arguments: order. See the NumPy documentation for numpy.asanyarray.
tf.experimental.numpy.asarray TensorFlow variant of NumPy's asarray. 
tf.experimental.numpy.asarray(
    a, dtype=None
)
 Unsupported arguments: order. See the NumPy documentation for numpy.asarray.
tf.experimental.numpy.ascontiguousarray TensorFlow variant of NumPy's ascontiguousarray. 
tf.experimental.numpy.ascontiguousarray(
    a, dtype=None
)
 See the NumPy documentation for numpy.ascontiguousarray.
tf.experimental.numpy.atleast_1d TensorFlow variant of NumPy's atleast_1d. 
tf.experimental.numpy.atleast_1d(
    *arys
)
 See the NumPy documentation for numpy.atleast_1d.
tf.experimental.numpy.atleast_2d TensorFlow variant of NumPy's atleast_2d. 
tf.experimental.numpy.atleast_2d(
    *arys
)
 See the NumPy documentation for numpy.atleast_2d.
tf.experimental.numpy.atleast_3d TensorFlow variant of NumPy's atleast_3d. 
tf.experimental.numpy.atleast_3d(
    *arys
)
 See the NumPy documentation for numpy.atleast_3d.
tf.experimental.numpy.average TensorFlow variant of NumPy's average. 
tf.experimental.numpy.average(
    a, axis=None, weights=None, returned=False
)
 See the NumPy documentation for numpy.average.
tf.experimental.numpy.bitwise_and TensorFlow variant of NumPy's bitwise_and. 
tf.experimental.numpy.bitwise_and(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.bitwise_and.
tf.experimental.numpy.bitwise_not TensorFlow variant of NumPy's bitwise_not. 
tf.experimental.numpy.bitwise_not(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.bitwise_not.
tf.experimental.numpy.bitwise_or TensorFlow variant of NumPy's bitwise_or. 
tf.experimental.numpy.bitwise_or(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.bitwise_or.
tf.experimental.numpy.bitwise_xor TensorFlow variant of NumPy's bitwise_xor. 
tf.experimental.numpy.bitwise_xor(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.bitwise_xor.
tf.experimental.numpy.broadcast_arrays TensorFlow variant of NumPy's broadcast_arrays. 
tf.experimental.numpy.broadcast_arrays(
    *args, **kwargs
)
 Unsupported arguments: subok. See the NumPy documentation for numpy.broadcast_arrays.
tf.experimental.numpy.broadcast_to TensorFlow variant of NumPy's broadcast_to. 
tf.experimental.numpy.broadcast_to(
    array, shape
)
 Unsupported arguments: subok. See the NumPy documentation for numpy.broadcast_to.
tf.experimental.numpy.cbrt TensorFlow variant of NumPy's cbrt. 
tf.experimental.numpy.cbrt(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.cbrt.
tf.experimental.numpy.ceil TensorFlow variant of NumPy's ceil. 
tf.experimental.numpy.ceil(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.ceil.
tf.experimental.numpy.clip TensorFlow variant of NumPy's clip.  View aliases  Main aliases 
tf.experimental.numpy.ndarray.clip  
tf.experimental.numpy.clip(
    a, a_min, a_max
)
 Unsupported arguments: out, kwargs. See the NumPy documentation for numpy.clip.
tf.experimental.numpy.compress TensorFlow variant of NumPy's compress. 
tf.experimental.numpy.compress(
    condition, a, axis=None
)
 Unsupported arguments: out. See the NumPy documentation for numpy.compress.
tf.experimental.numpy.concatenate TensorFlow variant of NumPy's concatenate. 
tf.experimental.numpy.concatenate(
    arys, axis=0
)
 See the NumPy documentation for numpy.concatenate.
tf.experimental.numpy.conj TensorFlow variant of NumPy's conj. 
tf.experimental.numpy.conj(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.conj.
tf.experimental.numpy.conjugate TensorFlow variant of NumPy's conjugate. 
tf.experimental.numpy.conjugate(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.conjugate.
tf.experimental.numpy.copy TensorFlow variant of NumPy's copy. 
tf.experimental.numpy.copy(
    a
)
 Unsupported arguments: order, subok. See the NumPy documentation for numpy.copy.
tf.experimental.numpy.cos TensorFlow variant of NumPy's cos. 
tf.experimental.numpy.cos(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.cos.
tf.experimental.numpy.cosh TensorFlow variant of NumPy's cosh. 
tf.experimental.numpy.cosh(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.cosh.
tf.experimental.numpy.count_nonzero TensorFlow variant of NumPy's count_nonzero. 
tf.experimental.numpy.count_nonzero(
    a, axis=None
)
 Unsupported arguments: keepdims. See the NumPy documentation for numpy.count_nonzero.
tf.experimental.numpy.cross TensorFlow variant of NumPy's cross. 
tf.experimental.numpy.cross(
    a, b, axisa=-1, axisb=-1, axisc=-1, axis=None
)
 See the NumPy documentation for numpy.cross.
tf.experimental.numpy.cumprod TensorFlow variant of NumPy's cumprod. 
tf.experimental.numpy.cumprod(
    a, axis=None, dtype=None
)
 Unsupported arguments: out. See the NumPy documentation for numpy.cumprod.
tf.experimental.numpy.cumsum TensorFlow variant of NumPy's cumsum. 
tf.experimental.numpy.cumsum(
    a, axis=None, dtype=None
)
 Unsupported arguments: out. See the NumPy documentation for numpy.cumsum.
tf.experimental.numpy.deg2rad TensorFlow variant of NumPy's deg2rad. 
tf.experimental.numpy.deg2rad(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.deg2rad.
tf.experimental.numpy.diag TensorFlow variant of NumPy's diag. 
tf.experimental.numpy.diag(
    v, k=0
)
 Raises an error if input is not 1- or 2-d. See the NumPy documentation for numpy.diag.
tf.experimental.numpy.diagflat TensorFlow variant of NumPy's diagflat. 
tf.experimental.numpy.diagflat(
    v, k=0
)
 See the NumPy documentation for numpy.diagflat.
tf.experimental.numpy.diagonal TensorFlow variant of NumPy's diagonal. 
tf.experimental.numpy.diagonal(
    a, offset=0, axis1=0, axis2=1
)
 See the NumPy documentation for numpy.diagonal.
tf.experimental.numpy.diag_indices TensorFlow variant of NumPy's diag_indices. 
tf.experimental.numpy.diag_indices(
    n, ndim=2
)
 See the NumPy documentation for numpy.diag_indices.
tf.experimental.numpy.diff TensorFlow variant of NumPy's diff. 
tf.experimental.numpy.diff(
    a, n=1, axis=-1
)
 Unsupported arguments: prepend, append. See the NumPy documentation for numpy.diff.
tf.experimental.numpy.divide TensorFlow variant of NumPy's divide. 
tf.experimental.numpy.divide(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.divide.
tf.experimental.numpy.divmod TensorFlow variant of NumPy's divmod. 
tf.experimental.numpy.divmod(
    x1, x2
)
 Unsupported arguments: out1, out2, out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.divmod.
tf.experimental.numpy.dot TensorFlow variant of NumPy's dot. 
tf.experimental.numpy.dot(
    a, b
)
 See the NumPy documentation for numpy.dot.
tf.experimental.numpy.dsplit TensorFlow variant of NumPy's dsplit. 
tf.experimental.numpy.dsplit(
    ary, indices_or_sections
)
 See the NumPy documentation for numpy.dsplit.
tf.experimental.numpy.dstack TensorFlow variant of NumPy's dstack. 
tf.experimental.numpy.dstack(
    tup
)
 See the NumPy documentation for numpy.dstack.
tf.experimental.numpy.einsum TensorFlow variant of NumPy's einsum. 
tf.experimental.numpy.einsum(
    subscripts, *operands, **kwargs
)
 See the NumPy documentation for numpy.einsum.
tf.experimental.numpy.empty TensorFlow variant of NumPy's empty. 
tf.experimental.numpy.empty(
    shape, dtype=float
)
 See the NumPy documentation for numpy.empty.
tf.experimental.numpy.empty_like TensorFlow variant of NumPy's empty_like. 
tf.experimental.numpy.empty_like(
    a, dtype=None
)
 See the NumPy documentation for numpy.empty_like.
tf.experimental.numpy.equal TensorFlow variant of NumPy's equal. 
tf.experimental.numpy.equal(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.equal.
tf.experimental.numpy.exp TensorFlow variant of NumPy's exp. 
tf.experimental.numpy.exp(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.exp.
tf.experimental.numpy.exp2 TensorFlow variant of NumPy's exp2. 
tf.experimental.numpy.exp2(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.exp2.
tf.experimental.numpy.expand_dims TensorFlow variant of NumPy's expand_dims. 
tf.experimental.numpy.expand_dims(
    a, axis
)
 See the NumPy documentation for numpy.expand_dims.
tf.experimental.numpy.expm1 TensorFlow variant of NumPy's expm1. 
tf.experimental.numpy.expm1(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.expm1.
tf.experimental.numpy.eye TensorFlow variant of NumPy's eye. 
tf.experimental.numpy.eye(
    N, M=None, k=0, dtype=float
)
 Unsupported arguments: order. See the NumPy documentation for numpy.eye.
tf.experimental.numpy.fabs TensorFlow variant of NumPy's fabs. 
tf.experimental.numpy.fabs(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.fabs.
tf.experimental.numpy.finfo TensorFlow variant of NumPy's finfo. 
tf.experimental.numpy.finfo(
    dtype
)
 Note that currently it just forwards to the numpy namesake, while tensorflow and numpy dtypes may have different properties. See the NumPy documentation for numpy.finfo.
tf.experimental.numpy.fix TensorFlow variant of NumPy's fix. 
tf.experimental.numpy.fix(
    x
)
 Unsupported arguments: out. See the NumPy documentation for numpy.fix.
tf.experimental.numpy.flip TensorFlow variant of NumPy's flip. 
tf.experimental.numpy.flip(
    m, axis=None
)
 See the NumPy documentation for numpy.flip.
tf.experimental.numpy.fliplr TensorFlow variant of NumPy's fliplr. 
tf.experimental.numpy.fliplr(
    m
)
 See the NumPy documentation for numpy.fliplr.
tf.experimental.numpy.flipud TensorFlow variant of NumPy's flipud. 
tf.experimental.numpy.flipud(
    m
)
 See the NumPy documentation for numpy.flipud.
tf.experimental.numpy.float_power TensorFlow variant of NumPy's float_power. 
tf.experimental.numpy.float_power(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.float_power.
tf.experimental.numpy.floor TensorFlow variant of NumPy's floor. 
tf.experimental.numpy.floor(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.floor.
tf.experimental.numpy.floor_divide TensorFlow variant of NumPy's floor_divide. 
tf.experimental.numpy.floor_divide(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.floor_divide.
tf.experimental.numpy.full TensorFlow variant of NumPy's full. 
tf.experimental.numpy.full(
    shape, fill_value, dtype=None
)
 Unsupported arguments: order. See the NumPy documentation for numpy.full.
tf.experimental.numpy.full_like TensorFlow variant of NumPy's full_like. 
tf.experimental.numpy.full_like(
    a, fill_value, dtype=None, order='K', subok=True, shape=None
)
 order, subok and shape arguments mustn't be changed. See the NumPy documentation for numpy.full_like.
tf.experimental.numpy.gcd TensorFlow variant of NumPy's gcd. 
tf.experimental.numpy.gcd(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.gcd.
tf.experimental.numpy.geomspace TensorFlow variant of NumPy's geomspace. 
tf.experimental.numpy.geomspace(
    start, stop, num=50, endpoint=True, dtype=None, axis=0
)
 See the NumPy documentation for numpy.geomspace.
tf.experimental.numpy.greater TensorFlow variant of NumPy's greater. 
tf.experimental.numpy.greater(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.greater.
tf.experimental.numpy.greater_equal TensorFlow variant of NumPy's greater_equal. 
tf.experimental.numpy.greater_equal(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.greater_equal.
tf.experimental.numpy.heaviside TensorFlow variant of NumPy's heaviside. 
tf.experimental.numpy.heaviside(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.heaviside.
tf.experimental.numpy.hsplit TensorFlow variant of NumPy's hsplit. 
tf.experimental.numpy.hsplit(
    ary, indices_or_sections
)
 See the NumPy documentation for numpy.hsplit.
tf.experimental.numpy.hstack TensorFlow variant of NumPy's hstack. 
tf.experimental.numpy.hstack(
    tup
)
 See the NumPy documentation for numpy.hstack.
tf.experimental.numpy.hypot TensorFlow variant of NumPy's hypot. 
tf.experimental.numpy.hypot(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.hypot.
tf.experimental.numpy.identity TensorFlow variant of NumPy's identity. 
tf.experimental.numpy.identity(
    n, dtype=float
)
 See the NumPy documentation for numpy.identity.
tf.experimental.numpy.iinfo iinfo(type) 
tf.experimental.numpy.iinfo(
    int_type
)
 Machine limits for integer types. Attributes bits : int The number of bits occupied by the type. min : int The smallest integer expressible by the type. max : int The largest integer expressible by the type. Parameters int_type : integer type, dtype, or instance The kind of integer data type to get information about. See Also finfo : The equivalent for floating point data types. Examples With types: 
ii16 = np.iinfo(np.int16)
ii16.min
-32768
ii16.max
32767
ii32 = np.iinfo(np.int32)
ii32.min
-2147483648
ii32.max
2147483647
 With instances: 
ii32 = np.iinfo(np.int32(10))
ii32.min
-2147483648
ii32.max
2147483647

 


 Attributes
  max   Maximum value of given dtype.  
  min   Minimum value of given dtype.
tf.experimental.numpy.imag TensorFlow variant of NumPy's imag. 
tf.experimental.numpy.imag(
    val
)
 See the NumPy documentation for numpy.imag.
tf.experimental.numpy.inner TensorFlow variant of NumPy's inner. 
tf.experimental.numpy.inner(
    a, b
)
 See the NumPy documentation for numpy.inner.
tf.experimental.numpy.isclose TensorFlow variant of NumPy's isclose. 
tf.experimental.numpy.isclose(
    a, b, rtol=1e-05, atol=1e-08, equal_nan=False
)
 See the NumPy documentation for numpy.isclose.
tf.experimental.numpy.iscomplex TensorFlow variant of NumPy's iscomplex. 
tf.experimental.numpy.iscomplex(
    x
)
 See the NumPy documentation for numpy.iscomplex.
tf.experimental.numpy.iscomplexobj TensorFlow variant of NumPy's iscomplexobj. 
tf.experimental.numpy.iscomplexobj(
    x
)
 See the NumPy documentation for numpy.iscomplexobj.
tf.experimental.numpy.isfinite TensorFlow variant of NumPy's isfinite. 
tf.experimental.numpy.isfinite(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.isfinite.
tf.experimental.numpy.isinf TensorFlow variant of NumPy's isinf. 
tf.experimental.numpy.isinf(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.isinf.
tf.experimental.numpy.isnan TensorFlow variant of NumPy's isnan. 
tf.experimental.numpy.isnan(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.isnan.
tf.experimental.numpy.isneginf TensorFlow variant of NumPy's isneginf. 
tf.experimental.numpy.isneginf(
    x
)
 Unsupported arguments: out. See the NumPy documentation for numpy.isneginf.
tf.experimental.numpy.isposinf TensorFlow variant of NumPy's isposinf. 
tf.experimental.numpy.isposinf(
    x
)
 Unsupported arguments: out. See the NumPy documentation for numpy.isposinf.
tf.experimental.numpy.isreal TensorFlow variant of NumPy's isreal. 
tf.experimental.numpy.isreal(
    x
)
 See the NumPy documentation for numpy.isreal.
tf.experimental.numpy.isrealobj TensorFlow variant of NumPy's isrealobj. 
tf.experimental.numpy.isrealobj(
    x
)
 See the NumPy documentation for numpy.isrealobj.
tf.experimental.numpy.isscalar TensorFlow variant of NumPy's isscalar. 
tf.experimental.numpy.isscalar(
    num
)
 Unsupported arguments: element. See the NumPy documentation for numpy.isscalar.
tf.experimental.numpy.issubdtype Returns True if first argument is a typecode lower/equal in type hierarchy. 
tf.experimental.numpy.issubdtype(
    arg1, arg2
)
 Parameters arg1, arg2 : dtype_like dtype or string representing a typecode. Returns out : bool See Also issubsctype, issubclass_ numpy.core.numerictypes : Overview of numpy type hierarchy. Examples >>> np.issubdtype('S1', np.string_)
True
>>> np.issubdtype(np.float64, np.float32)
False
tf.experimental.numpy.ix_ TensorFlow variant of NumPy's ix_. 
tf.experimental.numpy.ix_(
    *args
)
 See the NumPy documentation for numpy.ix_.
tf.experimental.numpy.kron TensorFlow variant of NumPy's kron. 
tf.experimental.numpy.kron(
    a, b
)
 See the NumPy documentation for numpy.kron.
tf.experimental.numpy.lcm TensorFlow variant of NumPy's lcm. 
tf.experimental.numpy.lcm(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.lcm.
tf.experimental.numpy.less TensorFlow variant of NumPy's less. 
tf.experimental.numpy.less(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.less.
tf.experimental.numpy.less_equal TensorFlow variant of NumPy's less_equal. 
tf.experimental.numpy.less_equal(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.less_equal.
tf.experimental.numpy.linspace TensorFlow variant of NumPy's linspace. 
tf.experimental.numpy.linspace(
    start, stop, num=50, endpoint=True, retstep=False, dtype=float, axis=0
)
 See the NumPy documentation for numpy.linspace.
tf.experimental.numpy.log TensorFlow variant of NumPy's log. 
tf.experimental.numpy.log(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.log.
tf.experimental.numpy.log10 TensorFlow variant of NumPy's log10. 
tf.experimental.numpy.log10(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.log10.
tf.experimental.numpy.log1p TensorFlow variant of NumPy's log1p. 
tf.experimental.numpy.log1p(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.log1p.
tf.experimental.numpy.log2 TensorFlow variant of NumPy's log2. 
tf.experimental.numpy.log2(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.log2.
tf.experimental.numpy.logaddexp TensorFlow variant of NumPy's logaddexp. 
tf.experimental.numpy.logaddexp(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.logaddexp.
tf.experimental.numpy.logaddexp2 TensorFlow variant of NumPy's logaddexp2. 
tf.experimental.numpy.logaddexp2(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.logaddexp2.
tf.experimental.numpy.logical_and TensorFlow variant of NumPy's logical_and. 
tf.experimental.numpy.logical_and(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.logical_and.
tf.experimental.numpy.logical_not TensorFlow variant of NumPy's logical_not. 
tf.experimental.numpy.logical_not(
    x
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.logical_not.
tf.experimental.numpy.logical_or TensorFlow variant of NumPy's logical_or. 
tf.experimental.numpy.logical_or(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.logical_or.
tf.experimental.numpy.logical_xor TensorFlow variant of NumPy's logical_xor. 
tf.experimental.numpy.logical_xor(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.logical_xor.
tf.experimental.numpy.logspace TensorFlow variant of NumPy's logspace. 
tf.experimental.numpy.logspace(
    start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0
)
 See the NumPy documentation for numpy.logspace.
tf.experimental.numpy.matmul TensorFlow variant of NumPy's matmul. 
tf.experimental.numpy.matmul(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.matmul.
tf.experimental.numpy.max TensorFlow variant of NumPy's max. 
tf.experimental.numpy.max(
    a, axis=None, keepdims=None
)
 Unsupported arguments: out, initial, where. See the NumPy documentation for numpy.max.
tf.experimental.numpy.maximum TensorFlow variant of NumPy's maximum. 
tf.experimental.numpy.maximum(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.maximum.
tf.experimental.numpy.mean TensorFlow variant of NumPy's mean. 
tf.experimental.numpy.mean(
    a, axis=None, dtype=None, keepdims=None
)
 Unsupported arguments: out. See the NumPy documentation for numpy.mean.
tf.experimental.numpy.meshgrid TensorFlow variant of NumPy's meshgrid. 
tf.experimental.numpy.meshgrid(
    *xi, **kwargs
)
 Unsupported arguments: copy, sparse, indexing. This currently requires copy=True and sparse=False. See the NumPy documentation for numpy.meshgrid.
tf.experimental.numpy.min TensorFlow variant of NumPy's min. 
tf.experimental.numpy.min(
    a, axis=None, keepdims=None
)
 Unsupported arguments: out, initial, where. See the NumPy documentation for numpy.min.
tf.experimental.numpy.minimum TensorFlow variant of NumPy's minimum. 
tf.experimental.numpy.minimum(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.minimum.
tf.experimental.numpy.mod TensorFlow variant of NumPy's mod. 
tf.experimental.numpy.mod(
    x1, x2
)
 Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.mod.