doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
|---|---|
tf.estimator.NanLossDuringTrainingError Unspecified run-time error. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.NanLossDuringTrainingError, tf.compat.v1.train.NanLossDuringTrainingError
tf.estimator.NanLossDuringTrainingError(
*args, **kwargs
) | tensorflow.estimator.nanlossduringtrainingerror |
tf.estimator.NanTensorHook Monitors the loss tensor and stops training if loss is NaN. Inherits From: SessionRunHook View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.NanTensorHook, tf.compat.v1.train.NanTensorHook
tf.estimator.NanTensorHook(
loss_tensor, fa... | tensorflow.estimator.nantensorhook |
tf.estimator.PoissonRegressionHead View source on GitHub Creates a Head for poisson regression using tf.nn.log_poisson_loss. Inherits From: RegressionHead, Head View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.PoissonRegressionHead
tf.estimator.PoissonRe... | tensorflow.estimator.poissonregressionhead |
tf.estimator.ProfilerHook Captures CPU/GPU profiling information every N steps or seconds. Inherits From: SessionRunHook View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.ProfilerHook, tf.compat.v1.train.ProfilerHook
tf.estimator.ProfilerHook(
save_steps=Non... | tensorflow.estimator.profilerhook |
tf.estimator.RegressionHead View source on GitHub Creates a Head for regression using the mean_squared_error loss. Inherits From: Head View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.RegressionHead
tf.estimator.RegressionHead(
label_dimension=1, wei... | tensorflow.estimator.regressionhead |
tf.estimator.regressor_parse_example_spec View source on GitHub Generates parsing spec for tf.parse_example to be used with regressors.
tf.estimator.regressor_parse_example_spec(
feature_columns, label_key, label_dtype=tf.dtypes.float32, label_default=None,
label_dimension=1, weight_column=None
)
If us... | tensorflow.estimator.regressor_parse_example_spec |
tf.estimator.RunConfig View source on GitHub This class specifies the configurations for an Estimator run. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.RunConfig
tf.estimator.RunConfig(
model_dir=None, tf_random_seed=None, save_summary_steps=100,... | tensorflow.estimator.runconfig |
tf.estimator.SecondOrStepTimer Timer that triggers at most once every N seconds or once every N steps. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.SecondOrStepTimer, tf.compat.v1.train.SecondOrStepTimer
tf.estimator.SecondOrStepTimer(
every_secs=None, ... | tensorflow.estimator.secondorsteptimer |
tf.estimator.SessionRunArgs Represents arguments to be added to a Session.run() call. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.SessionRunArgs, tf.compat.v1.train.SessionRunArgs
tf.estimator.SessionRunArgs(
fetches, feed_dict=None, options=None
)
... | tensorflow.estimator.sessionrunargs |
tf.estimator.SessionRunContext Provides information about the session.run() call being made. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.SessionRunContext, tf.compat.v1.train.SessionRunContext
tf.estimator.SessionRunContext(
original_args, session
)
P... | tensorflow.estimator.sessionruncontext |
tf.estimator.SessionRunHook Hook to extend calls to MonitoredSession.run(). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.SessionRunHook, tf.compat.v1.train.SessionRunHook Methods after_create_session View source
after_create_session(
session, coord
)
C... | tensorflow.estimator.sessionrunhook |
tf.estimator.SessionRunValues Contains the results of Session.run(). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.SessionRunValues, tf.compat.v1.train.SessionRunValues
tf.estimator.SessionRunValues(
results, options, run_metadata
)
In the future we may... | tensorflow.estimator.sessionrunvalues |
tf.estimator.StepCounterHook Hook that counts steps per second. Inherits From: SessionRunHook View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.StepCounterHook, tf.compat.v1.train.StepCounterHook
tf.estimator.StepCounterHook(
every_n_steps=100, every_n_secs=... | tensorflow.estimator.stepcounterhook |
tf.estimator.StopAtStepHook Hook that requests stop at a specified step. Inherits From: SessionRunHook View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.StopAtStepHook, tf.compat.v1.train.StopAtStepHook
tf.estimator.StopAtStepHook(
num_steps=None, last_step=... | tensorflow.estimator.stopatstephook |
tf.estimator.SummarySaverHook Saves summaries every N steps. Inherits From: SessionRunHook View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.SummarySaverHook, tf.compat.v1.train.SummarySaverHook
tf.estimator.SummarySaverHook(
save_steps=None, save_secs=None,... | tensorflow.estimator.summarysaverhook |
tf.estimator.TrainSpec View source on GitHub Configuration for the "train" part for the train_and_evaluate call. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.TrainSpec
tf.estimator.TrainSpec(
input_fn, max_steps=None, hooks=None, saving_listeners... | tensorflow.estimator.trainspec |
tf.estimator.train_and_evaluate View source on GitHub Train and evaluate the estimator. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.train_and_evaluate
tf.estimator.train_and_evaluate(
estimator, train_spec, eval_spec
)
This utility function t... | tensorflow.estimator.train_and_evaluate |
tf.estimator.VocabInfo Vocabulary information for warm-starting. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.VocabInfo, tf.compat.v1.train.VocabInfo
tf.estimator.VocabInfo(
new_vocab, new_vocab_size, num_oov_buckets, old_vocab, old_vocab_size=-1,
b... | tensorflow.estimator.vocabinfo |
tf.estimator.WarmStartSettings View source on GitHub Settings for warm-starting in tf.estimator.Estimators. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.estimator.WarmStartSettings
tf.estimator.WarmStartSettings(
ckpt_to_initialize_from, vars_to_warm_start... | tensorflow.estimator.warmstartsettings |
tf.executing_eagerly View source on GitHub Checks whether the current thread has eager execution enabled.
tf.executing_eagerly()
Eager execution is enabled by default and this API returns True in most of cases. However, this API might return False in the following use cases. Executing inside tf.function, unle... | tensorflow.executing_eagerly |
tf.expand_dims View source on GitHub Returns a tensor with a length 1 axis inserted at index axis.
tf.expand_dims(
input, axis, name=None
)
Given a tensor input, this operation inserts a dimension of length 1 at the dimension index axis of input's shape. The dimension index follows Python indexing rules: I... | tensorflow.expand_dims |
Module: tf.experimental Public API for tf.experimental namespace. Modules dlpack module: Public API for tf.experimental.dlpack namespace. numpy module: # tf.experimental.numpy: NumPy API on TensorFlow. tensorrt module: Public API for tf.experimental.tensorrt namespace. Classes class Optional: Represents a value that ma... | tensorflow.experimental |
tf.experimental.async_clear_error Clear pending operations and error statuses in async execution. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.experimental.async_clear_error
tf.experimental.async_clear_error()
In async execution mode, an error in op/function executi... | tensorflow.experimental.async_clear_error |
tf.experimental.async_scope Context manager for grouping async operations. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.experimental.async_scope
@tf_contextlib.contextmanager
tf.experimental.async_scope()
Ops/function calls inside the scope can return before finishi... | tensorflow.experimental.async_scope |
Module: tf.experimental.dlpack Public API for tf.experimental.dlpack namespace. Functions from_dlpack(...): Returns the Tensorflow eager tensor. to_dlpack(...): Returns the dlpack capsule representing the tensor. | tensorflow.experimental.dlpack |
tf.experimental.dlpack.from_dlpack Returns the Tensorflow eager tensor.
tf.experimental.dlpack.from_dlpack(
dlcapsule
)
The returned tensor uses the memory shared by dlpack capsules from other framework. a = tf.experimental.dlpack.from_dlpack(dlcapsule)
# `a` uses the memory shared by dlpack
Args
dlcapsul... | tensorflow.experimental.dlpack.from_dlpack |
tf.experimental.dlpack.to_dlpack Returns the dlpack capsule representing the tensor.
tf.experimental.dlpack.to_dlpack(
tf_tensor
)
This operation ensures the underlying data memory is ready when returns. a = tf.tensor([1, 10])
dlcapsule = tf.experimental.dlpack.to_dlpack(a)
# dlcapsule represents the dlpack data ... | tensorflow.experimental.dlpack.to_dlpack |
tf.experimental.function_executor_type View source on GitHub Context manager for setting the executor of eager defined functions. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.experimental.function_executor_type
@tf_contextlib.contextmanager
tf.experimental.fun... | tensorflow.experimental.function_executor_type |
Module: tf.experimental.numpy tf.experimental.numpy: NumPy API on TensorFlow. This module provides a subset of NumPy API, built on top of TensorFlow operations. APIs are based on and have been tested with NumPy 1.16 version. The set of supported APIs may be expanded over time. Also future releases may change the baseli... | tensorflow.experimental.numpy |
tf.experimental.numpy.abs TensorFlow variant of NumPy's abs.
tf.experimental.numpy.abs(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.abs. | tensorflow.experimental.numpy.abs |
tf.experimental.numpy.absolute TensorFlow variant of NumPy's absolute.
tf.experimental.numpy.absolute(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.absolute. | tensorflow.experimental.numpy.absolute |
tf.experimental.numpy.add TensorFlow variant of NumPy's add.
tf.experimental.numpy.add(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.add. | tensorflow.experimental.numpy.add |
tf.experimental.numpy.all TensorFlow variant of NumPy's all.
tf.experimental.numpy.all(
a, axis=None, keepdims=None
)
Unsupported arguments: out. See the NumPy documentation for numpy.all. | tensorflow.experimental.numpy.all |
tf.experimental.numpy.allclose TensorFlow variant of NumPy's allclose.
tf.experimental.numpy.allclose(
a, b, rtol=1e-05, atol=1e-08, equal_nan=False
)
See the NumPy documentation for numpy.allclose. | tensorflow.experimental.numpy.allclose |
tf.experimental.numpy.amax TensorFlow variant of NumPy's amax.
tf.experimental.numpy.amax(
a, axis=None, keepdims=None
)
Unsupported arguments: out, initial, where. See the NumPy documentation for numpy.amax. | tensorflow.experimental.numpy.amax |
tf.experimental.numpy.amin TensorFlow variant of NumPy's amin.
tf.experimental.numpy.amin(
a, axis=None, keepdims=None
)
Unsupported arguments: out, initial, where. See the NumPy documentation for numpy.amin. | tensorflow.experimental.numpy.amin |
tf.experimental.numpy.angle TensorFlow variant of NumPy's angle.
tf.experimental.numpy.angle(
z, deg=False
)
See the NumPy documentation for numpy.angle. | tensorflow.experimental.numpy.angle |
tf.experimental.numpy.any TensorFlow variant of NumPy's any.
tf.experimental.numpy.any(
a, axis=None, keepdims=None
)
Unsupported arguments: out. See the NumPy documentation for numpy.any. | tensorflow.experimental.numpy.any |
tf.experimental.numpy.append TensorFlow variant of NumPy's append.
tf.experimental.numpy.append(
arr, values, axis=None
)
See the NumPy documentation for numpy.append. | tensorflow.experimental.numpy.append |
tf.experimental.numpy.arange TensorFlow variant of NumPy's arange.
tf.experimental.numpy.arange(
start, stop=None, step=1, dtype=None
)
Returns step-separated values in the range [start, stop). Args: start: Start of the interval. Included in the range. stop: End of the interval. If not specified, start is treated... | tensorflow.experimental.numpy.arange |
tf.experimental.numpy.arccos TensorFlow variant of NumPy's arccos.
tf.experimental.numpy.arccos(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.arccos. | tensorflow.experimental.numpy.arccos |
tf.experimental.numpy.arccosh TensorFlow variant of NumPy's arccosh.
tf.experimental.numpy.arccosh(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.arccosh. | tensorflow.experimental.numpy.arccosh |
tf.experimental.numpy.arcsin TensorFlow variant of NumPy's arcsin.
tf.experimental.numpy.arcsin(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.arcsin. | tensorflow.experimental.numpy.arcsin |
tf.experimental.numpy.arcsinh TensorFlow variant of NumPy's arcsinh.
tf.experimental.numpy.arcsinh(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.arcsinh. | tensorflow.experimental.numpy.arcsinh |
tf.experimental.numpy.arctan TensorFlow variant of NumPy's arctan.
tf.experimental.numpy.arctan(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.arctan. | tensorflow.experimental.numpy.arctan |
tf.experimental.numpy.arctan2 TensorFlow variant of NumPy's arctan2.
tf.experimental.numpy.arctan2(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.arctan2. | tensorflow.experimental.numpy.arctan2 |
tf.experimental.numpy.arctanh TensorFlow variant of NumPy's arctanh.
tf.experimental.numpy.arctanh(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.arctanh. | tensorflow.experimental.numpy.arctanh |
tf.experimental.numpy.argmax TensorFlow variant of NumPy's argmax.
tf.experimental.numpy.argmax(
a, axis=None
)
Unsupported arguments: out. See the NumPy documentation for numpy.argmax. | tensorflow.experimental.numpy.argmax |
tf.experimental.numpy.argmin TensorFlow variant of NumPy's argmin.
tf.experimental.numpy.argmin(
a, axis=None
)
Unsupported arguments: out. See the NumPy documentation for numpy.argmin. | tensorflow.experimental.numpy.argmin |
tf.experimental.numpy.argsort TensorFlow variant of NumPy's argsort.
tf.experimental.numpy.argsort(
a, axis=-1, kind='quicksort', order=None
)
See the NumPy documentation for numpy.argsort. | tensorflow.experimental.numpy.argsort |
tf.experimental.numpy.around TensorFlow variant of NumPy's around.
tf.experimental.numpy.around(
a, decimals=0
)
Unsupported arguments: out. See the NumPy documentation for numpy.around. | tensorflow.experimental.numpy.around |
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 dtyp... | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.numpy.bitwise_xor |
tf.experimental.numpy.bool_ Boolean type (True or False), stored as a byte.
tf.experimental.numpy.bool_(
*args, **kwargs
)
Character code: '?'. Alias: np.bool8. Methods all
all()
Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, al... | tensorflow.experimental.numpy.bool_ |
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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.numpy.clip |
tf.experimental.numpy.complex128 Complex number type composed of two double-precision floating-point Inherits From: inexact View aliases Main aliases
tf.experimental.numpy.complex_
tf.experimental.numpy.complex128(
*args, **kwargs
)
numbers, compatible with Python complex. Character code: 'D'. Canonical name:... | tensorflow.experimental.numpy.complex128 |
tf.experimental.numpy.complex64 Complex number type composed of two single-precision floating-point Inherits From: inexact
tf.experimental.numpy.complex64(
*args, **kwargs
)
numbers. Character code: 'F'. Canonical name: np.csingle. Alias: np.singlecomplex. Alias on this platform: np.complex64: Complex number type... | tensorflow.experimental.numpy.complex64 |
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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.numpy.dsplit |
tf.experimental.numpy.dstack TensorFlow variant of NumPy's dstack.
tf.experimental.numpy.dstack(
tup
)
See the NumPy documentation for numpy.dstack. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.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. | tensorflow.experimental.numpy.exp2 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.