doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
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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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.numpy.flip |
tf.experimental.numpy.fliplr TensorFlow variant of NumPy's fliplr.
tf.experimental.numpy.fliplr(
m
)
See the NumPy documentation for numpy.fliplr. | tensorflow.experimental.numpy.fliplr |
tf.experimental.numpy.flipud TensorFlow variant of NumPy's flipud.
tf.experimental.numpy.flipud(
m
)
See the NumPy documentation for numpy.flipud. | tensorflow.experimental.numpy.flipud |
tf.experimental.numpy.float16 Half-precision floating-point number type. Inherits From: inexact
tf.experimental.numpy.float16(
*args, **kwargs
)
Character code: 'e'. Canonical name: np.half. Alias on this platform: np.float16: 16-bit-precision floating-point number type: sign bit, 5 bits exponent, 10 bits mantiss... | tensorflow.experimental.numpy.float16 |
tf.experimental.numpy.float32 Single-precision floating-point number type, compatible with C float. Inherits From: inexact
tf.experimental.numpy.float32(
*args, **kwargs
)
Character code: 'f'. Canonical name: np.single. Alias on this platform: np.float32: 32-bit-precision floating-point number type: sign bit, 8 b... | tensorflow.experimental.numpy.float32 |
tf.experimental.numpy.float64 Double-precision floating-point number type, compatible with Python float Inherits From: inexact View aliases Main aliases
tf.experimental.numpy.float_
tf.experimental.numpy.float64(
*args, **kwargs
)
and C double. Character code: 'd'. Canonical name: np.double. Alias: np.float_.... | tensorflow.experimental.numpy.float64 |
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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.numpy.hsplit |
tf.experimental.numpy.hstack TensorFlow variant of NumPy's hstack.
tf.experimental.numpy.hstack(
tup
)
See the NumPy documentation for numpy.hstack. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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 : inte... | tensorflow.experimental.numpy.iinfo |
tf.experimental.numpy.imag TensorFlow variant of NumPy's imag.
tf.experimental.numpy.imag(
val
)
See the NumPy documentation for numpy.imag. | tensorflow.experimental.numpy.imag |
tf.experimental.numpy.inexact Abstract base class of all numeric scalar types with a (potentially) inexact representation of the values in its range, such as floating-point numbers. Methods all
all()
Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit un... | tensorflow.experimental.numpy.inexact |
tf.experimental.numpy.inner TensorFlow variant of NumPy's inner.
tf.experimental.numpy.inner(
a, b
)
See the NumPy documentation for numpy.inner. | tensorflow.experimental.numpy.inner |
tf.experimental.numpy.int16 Signed integer type, compatible with C short.
tf.experimental.numpy.int16(
*args, **kwargs
)
Character code: 'h'. Canonical name: np.short. Alias on this platform: np.int16: 16-bit signed integer (-32768 to 32767). Methods all
all()
Not implemented (virtual attribute) Class generic e... | tensorflow.experimental.numpy.int16 |
tf.experimental.numpy.int32 Signed integer type, compatible with C int.
tf.experimental.numpy.int32(
*args, **kwargs
)
Character code: 'i'. Canonical name: np.intc. Alias on this platform: np.int32: 32-bit signed integer (-2147483648 to 2147483647). Methods all
all()
Not implemented (virtual attribute) Class ge... | tensorflow.experimental.numpy.int32 |
tf.experimental.numpy.int64 Signed integer type, compatible with Python int anc C long. View aliases Main aliases
tf.experimental.numpy.int_
tf.experimental.numpy.int64(
*args, **kwargs
)
Character code: 'l'. Canonical name: np.int_. Alias on this platform: np.int64: 64-bit signed integer (-922337203685477580... | tensorflow.experimental.numpy.int64 |
tf.experimental.numpy.int8 Signed integer type, compatible with C char.
tf.experimental.numpy.int8(
*args, **kwargs
)
Character code: 'b'. Canonical name: np.byte. Alias on this platform: np.int8: 8-bit signed integer (-128 to 127). Methods all
all()
Not implemented (virtual attribute) Class generic exists sole... | tensorflow.experimental.numpy.int8 |
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. | tensorflow.experimental.numpy.isclose |
tf.experimental.numpy.iscomplex TensorFlow variant of NumPy's iscomplex.
tf.experimental.numpy.iscomplex(
x
)
See the NumPy documentation for numpy.iscomplex. | tensorflow.experimental.numpy.iscomplex |
tf.experimental.numpy.iscomplexobj TensorFlow variant of NumPy's iscomplexobj.
tf.experimental.numpy.iscomplexobj(
x
)
See the NumPy documentation for numpy.iscomplexobj. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.numpy.isposinf |
tf.experimental.numpy.isreal TensorFlow variant of NumPy's isreal.
tf.experimental.numpy.isreal(
x
)
See the NumPy documentation for numpy.isreal. | tensorflow.experimental.numpy.isreal |
tf.experimental.numpy.isrealobj TensorFlow variant of NumPy's isrealobj.
tf.experimental.numpy.isrealobj(
x
)
See the NumPy documentation for numpy.isrealobj. | tensorflow.experimental.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. | tensorflow.experimental.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 : Ove... | tensorflow.experimental.numpy.issubdtype |
tf.experimental.numpy.ix_ TensorFlow variant of NumPy's ix_.
tf.experimental.numpy.ix_(
*args
)
See the NumPy documentation for numpy.ix_. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.numpy.mod |
tf.experimental.numpy.moveaxis TensorFlow variant of NumPy's moveaxis.
tf.experimental.numpy.moveaxis(
a, source, destination
)
Raises ValueError if source, destination not in (-ndim(a), ndim(a)). See the NumPy documentation for numpy.moveaxis. | tensorflow.experimental.numpy.moveaxis |
tf.experimental.numpy.multiply TensorFlow variant of NumPy's multiply.
tf.experimental.numpy.multiply(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.multiply. | tensorflow.experimental.numpy.multiply |
tf.experimental.numpy.nanmean TensorFlow variant of NumPy's nanmean.
tf.experimental.numpy.nanmean(
a, axis=None, dtype=None, keepdims=None
)
Unsupported arguments: out. See the NumPy documentation for numpy.nanmean. | tensorflow.experimental.numpy.nanmean |
tf.experimental.numpy.nanprod TensorFlow variant of NumPy's nanprod.
tf.experimental.numpy.nanprod(
a, axis=None, dtype=None, keepdims=False
)
Unsupported arguments: out. See the NumPy documentation for numpy.nanprod. | tensorflow.experimental.numpy.nanprod |
tf.experimental.numpy.nansum TensorFlow variant of NumPy's nansum.
tf.experimental.numpy.nansum(
a, axis=None, dtype=None, keepdims=False
)
Unsupported arguments: out. See the NumPy documentation for numpy.nansum. | tensorflow.experimental.numpy.nansum |
tf.experimental.numpy.ndarray Equivalent of numpy.ndarray backed by TensorFlow tensors.
tf.experimental.numpy.ndarray(
shape, dtype=float, buffer=None
)
This does not support all features of NumPy ndarrays e.g. strides and memory order since, unlike NumPy, the backing storage is not a raw memory buffer. or if the... | tensorflow.experimental.numpy.ndarray |
tf.experimental.numpy.ndim TensorFlow variant of NumPy's ndim.
tf.experimental.numpy.ndim(
a
) | tensorflow.experimental.numpy.ndim |
tf.experimental.numpy.negative TensorFlow variant of NumPy's negative.
tf.experimental.numpy.negative(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.negative. | tensorflow.experimental.numpy.negative |
tf.experimental.numpy.nextafter TensorFlow variant of NumPy's nextafter.
tf.experimental.numpy.nextafter(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.nextafter. | tensorflow.experimental.numpy.nextafter |
tf.experimental.numpy.nonzero TensorFlow variant of NumPy's nonzero.
tf.experimental.numpy.nonzero(
a
)
See the NumPy documentation for numpy.nonzero. | tensorflow.experimental.numpy.nonzero |
tf.experimental.numpy.not_equal TensorFlow variant of NumPy's not_equal.
tf.experimental.numpy.not_equal(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.not_equal. | tensorflow.experimental.numpy.not_equal |
tf.experimental.numpy.object_ Any Python object.
tf.experimental.numpy.object_(
*args, **kwargs
)
Character code: 'O'. Methods all
all()
Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so a... | tensorflow.experimental.numpy.object_ |
tf.experimental.numpy.ones TensorFlow variant of NumPy's ones.
tf.experimental.numpy.ones(
shape, dtype=float
)
Unsupported arguments: order. See the NumPy documentation for numpy.ones. | tensorflow.experimental.numpy.ones |
tf.experimental.numpy.ones_like TensorFlow variant of NumPy's ones_like.
tf.experimental.numpy.ones_like(
a, dtype=None
)
Unsupported arguments: order, subok, shape. See the NumPy documentation for numpy.ones_like. | tensorflow.experimental.numpy.ones_like |
tf.experimental.numpy.outer TensorFlow variant of NumPy's outer.
tf.experimental.numpy.outer(
a, b
)
Unsupported arguments: out. See the NumPy documentation for numpy.outer. | tensorflow.experimental.numpy.outer |
tf.experimental.numpy.pad TensorFlow variant of NumPy's pad.
tf.experimental.numpy.pad(
array, pad_width, mode, **kwargs
)
Only supports modes 'constant', 'reflect' and 'symmetric' currently. See the NumPy documentation for numpy.pad. | tensorflow.experimental.numpy.pad |
tf.experimental.numpy.polyval TensorFlow variant of NumPy's polyval.
tf.experimental.numpy.polyval(
p, x
)
See the NumPy documentation for numpy.polyval. | tensorflow.experimental.numpy.polyval |
tf.experimental.numpy.positive TensorFlow variant of NumPy's positive.
tf.experimental.numpy.positive(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.positive. | tensorflow.experimental.numpy.positive |
tf.experimental.numpy.power TensorFlow variant of NumPy's power.
tf.experimental.numpy.power(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.power. | tensorflow.experimental.numpy.power |
tf.experimental.numpy.prod TensorFlow variant of NumPy's prod.
tf.experimental.numpy.prod(
a, axis=None, dtype=None, keepdims=None
)
Unsupported arguments: out, initial, where. See the NumPy documentation for numpy.prod. | tensorflow.experimental.numpy.prod |
tf.experimental.numpy.promote_types TensorFlow variant of NumPy's promote_types.
tf.experimental.numpy.promote_types(
type1, type2
)
See the NumPy documentation for numpy.promote_types. | tensorflow.experimental.numpy.promote_types |
tf.experimental.numpy.ptp TensorFlow variant of NumPy's ptp.
tf.experimental.numpy.ptp(
a, axis=None, keepdims=None
)
Unsupported arguments: out. See the NumPy documentation for numpy.ptp. | tensorflow.experimental.numpy.ptp |
tf.experimental.numpy.rad2deg TensorFlow variant of NumPy's rad2deg.
tf.experimental.numpy.rad2deg(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.rad2deg. | tensorflow.experimental.numpy.rad2deg |
Module: tf.experimental.numpy.random Public API for tf.experimental.numpy.random namespace. Functions rand(...): TensorFlow variant of NumPy's random.rand. randint(...): TensorFlow variant of NumPy's random.randint. randn(...): TensorFlow variant of NumPy's random.randn. random(...): TensorFlow variant of NumPy's rando... | tensorflow.experimental.numpy.random |
tf.experimental.numpy.random.rand TensorFlow variant of NumPy's random.rand.
tf.experimental.numpy.random.rand(
*size
)
See the NumPy documentation for numpy.random.rand. | tensorflow.experimental.numpy.random.rand |
tf.experimental.numpy.random.randint TensorFlow variant of NumPy's random.randint.
tf.experimental.numpy.random.randint(
low, high=None, size=None, dtype=onp.int
)
See the NumPy documentation for numpy.random.randint. | tensorflow.experimental.numpy.random.randint |
tf.experimental.numpy.random.randn TensorFlow variant of NumPy's random.randn.
tf.experimental.numpy.random.randn(
*args
)
Returns samples from a normal distribution. Uses tf.random_normal. Args: *args: The shape of the output array. Returns: An ndarray with shape args and dtype float64. See the NumPy documentati... | tensorflow.experimental.numpy.random.randn |
tf.experimental.numpy.random.random TensorFlow variant of NumPy's random.random.
tf.experimental.numpy.random.random(
size=None
)
See the NumPy documentation for numpy.random.random. | tensorflow.experimental.numpy.random.random |
tf.experimental.numpy.random.seed TensorFlow variant of NumPy's random.seed.
tf.experimental.numpy.random.seed(
s
)
Sets the seed for the random number generator. Uses tf.set_random_seed. Args: s: an integer. See the NumPy documentation for numpy.random.seed. | tensorflow.experimental.numpy.random.seed |
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