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tf.random.set_global_generator Replaces the global generator with another Generator object. View aliases Main aliases tf.random.experimental.set_global_generator Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.experimental.set_global_generator, tf.compat.v1.random.set_global_ge...
tensorflow.random.set_global_generator
tf.random.set_seed Sets the global random seed. tf.random.set_seed( seed ) Operations that rely on a random seed actually derive it from two seeds: the global and operation-level seeds. This sets the global seed. Its interactions with operation-level seeds is as follows: If neither the global seed nor the operat...
tensorflow.random.set_seed
tf.random.shuffle View source on GitHub Randomly shuffles a tensor along its first dimension. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.shuffle, tf.compat.v1.random_shuffle tf.random.shuffle( value, seed=None, name=None ) The tensor is shuffled ...
tensorflow.random.shuffle
tf.random.stateless_binomial Outputs deterministic pseudorandom values from a binomial distribution. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.stateless_binomial tf.random.stateless_binomial( shape, seed, counts, probs, output_dtype=tf.dtypes.int32, nam...
tensorflow.random.stateless_binomial
tf.random.stateless_categorical View source on GitHub Draws deterministic pseudorandom samples from a categorical distribution. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.stateless_categorical tf.random.stateless_categorical( logits, num_samples, ...
tensorflow.random.stateless_categorical
tf.random.stateless_gamma Outputs deterministic pseudorandom values from a gamma distribution. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.stateless_gamma tf.random.stateless_gamma( shape, seed, alpha, beta=None, dtype=tf.dtypes.float32, name=None ) The ...
tensorflow.random.stateless_gamma
tf.random.stateless_normal View source on GitHub Outputs deterministic pseudorandom values from a normal distribution. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.stateless_normal tf.random.stateless_normal( shape, seed, mean=0.0, stddev=1.0, dtype...
tensorflow.random.stateless_normal
tf.random.stateless_parameterized_truncated_normal Outputs random values from a truncated normal distribution. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.stateless_parameterized_truncated_normal tf.random.stateless_parameterized_truncated_normal( shape, ...
tensorflow.random.stateless_parameterized_truncated_normal
tf.random.stateless_poisson Outputs deterministic pseudorandom values from a Poisson distribution. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.stateless_poisson tf.random.stateless_poisson( shape, seed, lam, dtype=tf.dtypes.int32, name=None ) The generat...
tensorflow.random.stateless_poisson
tf.random.stateless_truncated_normal View source on GitHub Outputs deterministic pseudorandom values, truncated normally distributed. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.stateless_truncated_normal tf.random.stateless_truncated_normal( shape...
tensorflow.random.stateless_truncated_normal
tf.random.stateless_uniform View source on GitHub Outputs deterministic pseudorandom values from a uniform distribution. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.stateless_uniform tf.random.stateless_uniform( shape, seed, minval=0, maxval=None, ...
tensorflow.random.stateless_uniform
tf.random.truncated_normal View source on GitHub Outputs random values from a truncated normal distribution. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.truncated_normal, tf.compat.v1.truncated_normal tf.random.truncated_normal( shape, mean=0.0, st...
tensorflow.random.truncated_normal
tf.random.uniform View source on GitHub Outputs random values from a uniform distribution. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.uniform, tf.compat.v1.random_uniform tf.random.uniform( shape, minval=0, maxval=None, dtype=tf.dtypes.float32, se...
tensorflow.random.uniform
tf.random.uniform_candidate_sampler View source on GitHub Samples a set of classes using a uniform base distribution. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.nn.uniform_candidate_sampler, tf.compat.v1.random.uniform_candidate_sampler tf.random.uniform_can...
tensorflow.random.uniform_candidate_sampler
tf.random_normal_initializer View source on GitHub Initializer that generates tensors with a normal distribution. tf.random_normal_initializer( mean=0.0, stddev=0.05, seed=None ) Initializers allow you to pre-specify an initialization strategy, encoded in the Initializer object, without knowing the shape a...
tensorflow.random_normal_initializer
tf.random_uniform_initializer View source on GitHub Initializer that generates tensors with a uniform distribution. tf.random_uniform_initializer( minval=-0.05, maxval=0.05, seed=None ) Initializers allow you to pre-specify an initialization strategy, encoded in the Initializer object, without knowing the ...
tensorflow.random_uniform_initializer
tf.range View source on GitHub Creates a sequence of numbers. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.range tf.range(limit, delta=1, dtype=None, name='range') tf.range(start, limit, delta=1, dtype=None, name='range') Creates a sequence of numbers that beg...
tensorflow.range
tf.rank View source on GitHub Returns the rank of a tensor. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.rank tf.rank( input, name=None ) See also tf.shape. Returns a 0-D int32 Tensor representing the rank of input. For example: # shape of tensor 't' is [...
tensorflow.rank
Module: tf.raw_ops Public API for tf.raw_ops namespace. Note: tf.raw_ops provides direct/low level access to all TensorFlow ops. See the RFC for details. Unless you are library writer, you likely do not need to use these ops directly. Op Name Has Gradient Abort ❌ Abs βœ”οΈ AccumulateNV2 βœ”οΈ AccumulatorApplyG...
tensorflow.raw_ops
tf.raw_ops.Abort Raise a exception to abort the process when called. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Abort tf.raw_ops.Abort( error_msg='', exit_without_error=False, name=None ) If exit_without_error is true, the process will exit normally, o...
tensorflow.raw_ops.abort
tf.raw_ops.Abs Computes the absolute value of a tensor. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Abs tf.raw_ops.Abs( x, name=None ) Given a tensor x, this operation returns a tensor containing the absolute value of each element in x. For example, i...
tensorflow.raw_ops.abs
tf.raw_ops.AccumulateNV2 Returns the element-wise sum of a list of tensors. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AccumulateNV2 tf.raw_ops.AccumulateNV2( inputs, shape, name=None ) tf.accumulate_n_v2 performs the same operation as tf.add_n, but do...
tensorflow.raw_ops.accumulatenv2
tf.raw_ops.AccumulatorApplyGradient Applies a gradient to a given accumulator. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AccumulatorApplyGradient tf.raw_ops.AccumulatorApplyGradient( handle, local_step, gradient, name=None ) Does not add if local_step...
tensorflow.raw_ops.accumulatorapplygradient
tf.raw_ops.AccumulatorNumAccumulated Returns the number of gradients aggregated in the given accumulators. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AccumulatorNumAccumulated tf.raw_ops.AccumulatorNumAccumulated( handle, name=None ) Args handle...
tensorflow.raw_ops.accumulatornumaccumulated
tf.raw_ops.AccumulatorSetGlobalStep Updates the accumulator with a new value for global_step. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AccumulatorSetGlobalStep tf.raw_ops.AccumulatorSetGlobalStep( handle, new_global_step, name=None ) Logs warning if ...
tensorflow.raw_ops.accumulatorsetglobalstep
tf.raw_ops.AccumulatorTakeGradient Extracts the average gradient in the given ConditionalAccumulator. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AccumulatorTakeGradient tf.raw_ops.AccumulatorTakeGradient( handle, num_required, dtype, name=None ) The op...
tensorflow.raw_ops.accumulatortakegradient
tf.raw_ops.Acos Computes acos of x element-wise. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Acos tf.raw_ops.Acos( x, name=None ) Provided an input tensor, the tf.math.acos operation returns the inverse cosine of each element of the tensor. If y = tf.ma...
tensorflow.raw_ops.acos
tf.raw_ops.Acosh Computes inverse hyperbolic cosine of x element-wise. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Acosh tf.raw_ops.Acosh( x, name=None ) Given an input tensor, the function computes inverse hyperbolic cosine of every element. Input rang...
tensorflow.raw_ops.acosh
tf.raw_ops.Add Returns x + y element-wise. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Add tf.raw_ops.Add( x, y, name=None ) Note: math.add supports broadcasting. AddN does not. More about broadcasting here Given two input tensors, the tf.add operatio...
tensorflow.raw_ops.add
tf.raw_ops.AddManySparseToTensorsMap Add an N-minibatch SparseTensor to a SparseTensorsMap, return N handles. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AddManySparseToTensorsMap tf.raw_ops.AddManySparseToTensorsMap( sparse_indices, sparse_values, spars...
tensorflow.raw_ops.addmanysparsetotensorsmap
tf.raw_ops.AddN Add all input tensors element wise. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AddN tf.raw_ops.AddN( inputs, name=None ) Inputs must be of same size and shape. x = [9, 7, 10] tf.math.add_n(x) ==> 26 Args inputs A list of at le...
tensorflow.raw_ops.addn
tf.raw_ops.AddSparseToTensorsMap Add a SparseTensor to a SparseTensorsMap return its handle. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AddSparseToTensorsMap tf.raw_ops.AddSparseToTensorsMap( sparse_indices, sparse_values, sparse_shape, container='', ...
tensorflow.raw_ops.addsparsetotensorsmap
tf.raw_ops.AddV2 Returns x + y element-wise. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AddV2 tf.raw_ops.AddV2( x, y, name=None ) Note: Add supports broadcasting. AddN does not. More about broadcasting here Args x A Tensor. Must be one of th...
tensorflow.raw_ops.addv2
tf.raw_ops.AdjustContrast Deprecated. Disallowed in GraphDef version >= 2. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AdjustContrast tf.raw_ops.AdjustContrast( images, contrast_factor, min_value, max_value, name=None ) Args images A Tensor. Mu...
tensorflow.raw_ops.adjustcontrast
tf.raw_ops.AdjustContrastv2 Adjust the contrast of one or more images. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AdjustContrastv2 tf.raw_ops.AdjustContrastv2( images, contrast_factor, name=None ) images is a tensor of at least 3 dimensions. The last 3...
tensorflow.raw_ops.adjustcontrastv2
tf.raw_ops.AdjustHue Adjust the hue of one or more images. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AdjustHue tf.raw_ops.AdjustHue( images, delta, name=None ) images is a tensor of at least 3 dimensions. The last dimension is interpreted as channels,...
tensorflow.raw_ops.adjusthue
tf.raw_ops.AdjustSaturation Adjust the saturation of one or more images. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AdjustSaturation tf.raw_ops.AdjustSaturation( images, scale, name=None ) images is a tensor of at least 3 dimensions. The last dimension...
tensorflow.raw_ops.adjustsaturation
tf.raw_ops.All Computes the "logical and" of elements across dimensions of a tensor. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.All tf.raw_ops.All( input, axis, keep_dims=False, name=None ) Reduces input along the dimensions given in axis. Unless keep_...
tensorflow.raw_ops.all
tf.raw_ops.AllCandidateSampler Generates labels for candidate sampling with a learned unigram distribution. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AllCandidateSampler tf.raw_ops.AllCandidateSampler( true_classes, num_true, num_sampled, unique, seed=...
tensorflow.raw_ops.allcandidatesampler
tf.raw_ops.AllToAll An Op to exchange data across TPU replicas. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AllToAll tf.raw_ops.AllToAll( input, group_assignment, concat_dimension, split_dimension, split_count, name=None ) On each replica, the input...
tensorflow.raw_ops.alltoall
tf.raw_ops.Angle Returns the argument of a complex number. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Angle tf.raw_ops.Angle( input, Tout=tf.dtypes.float32, name=None ) Given a tensor input of complex numbers, this operation returns a tensor of type ...
tensorflow.raw_ops.angle
tf.raw_ops.AnonymousIterator A container for an iterator resource. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AnonymousIterator tf.raw_ops.AnonymousIterator( output_types, output_shapes, name=None ) Args output_types A list of tf.DTypes that h...
tensorflow.raw_ops.anonymousiterator
tf.raw_ops.AnonymousIteratorV2 A container for an iterator resource. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AnonymousIteratorV2 tf.raw_ops.AnonymousIteratorV2( output_types, output_shapes, name=None ) Args output_types A list of tf.DTypes ...
tensorflow.raw_ops.anonymousiteratorv2
tf.raw_ops.AnonymousMemoryCache View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AnonymousMemoryCache tf.raw_ops.AnonymousMemoryCache( name=None ) Args name A name for the operation (optional). Returns A tuple of Tensor objects (handle, de...
tensorflow.raw_ops.anonymousmemorycache
tf.raw_ops.AnonymousMultiDeviceIterator A container for a multi device iterator resource. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AnonymousMultiDeviceIterator tf.raw_ops.AnonymousMultiDeviceIterator( devices, output_types, output_shapes, name=None ) ...
tensorflow.raw_ops.anonymousmultideviceiterator
tf.raw_ops.AnonymousRandomSeedGenerator View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AnonymousRandomSeedGenerator tf.raw_ops.AnonymousRandomSeedGenerator( seed, seed2, name=None ) Args seed A Tensor of type int64. seed2 A Tensor of type in...
tensorflow.raw_ops.anonymousrandomseedgenerator
tf.raw_ops.AnonymousSeedGenerator View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AnonymousSeedGenerator tf.raw_ops.AnonymousSeedGenerator( seed, seed2, reshuffle, name=None ) Args seed A Tensor of type int64. seed2 A Tensor of type int64. ...
tensorflow.raw_ops.anonymousseedgenerator
tf.raw_ops.Any Computes the "logical or" of elements across dimensions of a tensor. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Any tf.raw_ops.Any( input, axis, keep_dims=False, name=None ) Reduces input along the dimensions given in axis. Unless keep_d...
tensorflow.raw_ops.any
tf.raw_ops.ApplyAdadelta Update '*var' according to the adadelta scheme. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyAdadelta tf.raw_ops.ApplyAdadelta( var, accum, accum_update, lr, rho, epsilon, grad, use_locking=False, name=None ) accum = rho() *...
tensorflow.raw_ops.applyadadelta
tf.raw_ops.ApplyAdagrad Update '*var' according to the adagrad scheme. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyAdagrad tf.raw_ops.ApplyAdagrad( var, accum, lr, grad, use_locking=False, update_slots=True, name=None ) accum += grad * grad var -= ...
tensorflow.raw_ops.applyadagrad
tf.raw_ops.ApplyAdagradDA Update '*var' according to the proximal adagrad scheme. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyAdagradDA tf.raw_ops.ApplyAdagradDA( var, gradient_accumulator, gradient_squared_accumulator, grad, lr, l1, l2, global_...
tensorflow.raw_ops.applyadagradda
tf.raw_ops.ApplyAdagradV2 Update '*var' according to the adagrad scheme. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyAdagradV2 tf.raw_ops.ApplyAdagradV2( var, accum, lr, epsilon, grad, use_locking=False, update_slots=True, name=None ) accum += grad...
tensorflow.raw_ops.applyadagradv2
tf.raw_ops.ApplyAdam Update '*var' according to the Adam algorithm. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyAdam tf.raw_ops.ApplyAdam( var, m, v, beta1_power, beta2_power, lr, beta1, beta2, epsilon, grad, use_locking=False, use_nesterov=Fa...
tensorflow.raw_ops.applyadam
tf.raw_ops.ApplyAdaMax Update '*var' according to the AdaMax algorithm. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyAdaMax tf.raw_ops.ApplyAdaMax( var, m, v, beta1_power, lr, beta1, beta2, epsilon, grad, use_locking=False, name=None ) mt <- bet...
tensorflow.raw_ops.applyadamax
tf.raw_ops.ApplyAddSign Update '*var' according to the AddSign update. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyAddSign tf.raw_ops.ApplyAddSign( var, m, lr, alpha, sign_decay, beta, grad, use_locking=False, name=None ) mt <- beta1 * m{t-1} + (1 ...
tensorflow.raw_ops.applyaddsign
tf.raw_ops.ApplyCenteredRMSProp Update '*var' according to the centered RMSProp algorithm. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyCenteredRMSProp tf.raw_ops.ApplyCenteredRMSProp( var, mg, ms, mom, lr, rho, momentum, epsilon, grad, use_locking=F...
tensorflow.raw_ops.applycenteredrmsprop
tf.raw_ops.ApplyFtrl Update '*var' according to the Ftrl-proximal scheme. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyFtrl tf.raw_ops.ApplyFtrl( var, accum, linear, grad, lr, l1, l2, lr_power, use_locking=False, multiply_linear_by_lr=False, name...
tensorflow.raw_ops.applyftrl
tf.raw_ops.ApplyFtrlV2 Update '*var' according to the Ftrl-proximal scheme. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyFtrlV2 tf.raw_ops.ApplyFtrlV2( var, accum, linear, grad, lr, l1, l2, l2_shrinkage, lr_power, use_locking=False, multiply_line...
tensorflow.raw_ops.applyftrlv2
tf.raw_ops.ApplyGradientDescent Update '*var' by subtracting 'alpha' * 'delta' from it. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyGradientDescent tf.raw_ops.ApplyGradientDescent( var, alpha, delta, use_locking=False, name=None ) Args var ...
tensorflow.raw_ops.applygradientdescent
tf.raw_ops.ApplyMomentum Update '*var' according to the momentum scheme. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyMomentum tf.raw_ops.ApplyMomentum( var, accum, lr, grad, momentum, use_locking=False, use_nesterov=False, name=None ) Set use_neste...
tensorflow.raw_ops.applymomentum
tf.raw_ops.ApplyPowerSign Update '*var' according to the AddSign update. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyPowerSign tf.raw_ops.ApplyPowerSign( var, m, lr, logbase, sign_decay, beta, grad, use_locking=False, name=None ) mt <- beta1 * m{t-...
tensorflow.raw_ops.applypowersign
tf.raw_ops.ApplyProximalAdagrad Update 'var' and 'accum' according to FOBOS with Adagrad learning rate. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyProximalAdagrad tf.raw_ops.ApplyProximalAdagrad( var, accum, lr, l1, l2, grad, use_locking=False, nam...
tensorflow.raw_ops.applyproximaladagrad
tf.raw_ops.ApplyProximalGradientDescent Update '*var' as FOBOS algorithm with fixed learning rate. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyProximalGradientDescent tf.raw_ops.ApplyProximalGradientDescent( var, alpha, l1, l2, delta, use_locking=Fa...
tensorflow.raw_ops.applyproximalgradientdescent
tf.raw_ops.ApplyRMSProp Update '*var' according to the RMSProp algorithm. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApplyRMSProp tf.raw_ops.ApplyRMSProp( var, ms, mom, lr, rho, momentum, epsilon, grad, use_locking=False, name=None ) Note that in dense...
tensorflow.raw_ops.applyrmsprop
tf.raw_ops.ApproximateEqual Returns the truth value of abs(x-y) < tolerance element-wise. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ApproximateEqual tf.raw_ops.ApproximateEqual( x, y, tolerance=1e-05, name=None ) Args x A Tensor. Must be one ...
tensorflow.raw_ops.approximateequal
tf.raw_ops.ArgMax Returns the index with the largest value across dimensions of a tensor. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ArgMax tf.raw_ops.ArgMax( input, dimension, output_type=tf.dtypes.int64, name=None ) Note that in case of ties the iden...
tensorflow.raw_ops.argmax
tf.raw_ops.ArgMin Returns the index with the smallest value across dimensions of a tensor. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.ArgMin tf.raw_ops.ArgMin( input, dimension, output_type=tf.dtypes.int64, name=None ) Note that in case of ties the ide...
tensorflow.raw_ops.argmin
tf.raw_ops.Asin Computes the trignometric inverse sine of x element-wise. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Asin tf.raw_ops.Asin( x, name=None ) The tf.math.asin operation returns the inverse of tf.math.sin, such that if y = tf.math.sin(x) the...
tensorflow.raw_ops.asin
tf.raw_ops.Asinh Computes inverse hyperbolic sine of x element-wise. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Asinh tf.raw_ops.Asinh( x, name=None ) Given an input tensor, this function computes inverse hyperbolic sine for every element in the tensor...
tensorflow.raw_ops.asinh
tf.raw_ops.Assert Asserts that the given condition is true. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Assert tf.raw_ops.Assert( condition, data, summarize=3, name=None ) If condition evaluates to false, print the list of tensors in data. summarize det...
tensorflow.raw_ops.assert
tf.raw_ops.AssertCardinalityDataset View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AssertCardinalityDataset tf.raw_ops.AssertCardinalityDataset( input_dataset, cardinality, output_types, output_shapes, name=None ) Args input_dataset A Tensor of ty...
tensorflow.raw_ops.assertcardinalitydataset
tf.raw_ops.AssertNextDataset A transformation that asserts which transformations happen next. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AssertNextDataset tf.raw_ops.AssertNextDataset( input_dataset, transformations, output_types, output_shapes, name=No...
tensorflow.raw_ops.assertnextdataset
tf.raw_ops.Assign Update 'ref' by assigning 'value' to it. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Assign tf.raw_ops.Assign( ref, value, validate_shape=True, use_locking=True, name=None ) This operation outputs "ref" after the assignment is done. Th...
tensorflow.raw_ops.assign
tf.raw_ops.AssignAdd Update 'ref' by adding 'value' to it. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AssignAdd tf.raw_ops.AssignAdd( ref, value, use_locking=False, name=None ) This operation outputs "ref" after the update is done. This makes it easier...
tensorflow.raw_ops.assignadd
tf.raw_ops.AssignAddVariableOp Adds a value to the current value of a variable. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AssignAddVariableOp tf.raw_ops.AssignAddVariableOp( resource, value, name=None ) Any ReadVariableOp with a control dependency on ...
tensorflow.raw_ops.assignaddvariableop
tf.raw_ops.AssignSub Update 'ref' by subtracting 'value' from it. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AssignSub tf.raw_ops.AssignSub( ref, value, use_locking=False, name=None ) This operation outputs "ref" after the update is done. This makes it...
tensorflow.raw_ops.assignsub
tf.raw_ops.AssignSubVariableOp Subtracts a value from the current value of a variable. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AssignSubVariableOp tf.raw_ops.AssignSubVariableOp( resource, value, name=None ) Any ReadVariableOp with a control depende...
tensorflow.raw_ops.assignsubvariableop
tf.raw_ops.AssignVariableOp Assigns a new value to a variable. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AssignVariableOp tf.raw_ops.AssignVariableOp( resource, value, name=None ) Any ReadVariableOp with a control dependency on this op is guaranteed t...
tensorflow.raw_ops.assignvariableop
tf.raw_ops.AsString Converts each entry in the given tensor to strings. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AsString tf.raw_ops.AsString( input, precision=-1, scientific=False, shortest=False, width=-1, fill='', name=None ) Supports many num...
tensorflow.raw_ops.asstring
tf.raw_ops.Atan Computes the trignometric inverse tangent of x element-wise. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Atan tf.raw_ops.Atan( x, name=None ) The tf.math.atan operation returns the inverse of tf.math.tan, such that if y = tf.math.tan(x) ...
tensorflow.raw_ops.atan
tf.raw_ops.Atan2 Computes arctangent of y/x element-wise, respecting signs of the arguments. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Atan2 tf.raw_ops.Atan2( y, x, name=None ) This is the angle ( \theta \in [-\pi, \pi] ) such that [ x = r \cos(\the...
tensorflow.raw_ops.atan2
tf.raw_ops.Atanh Computes inverse hyperbolic tangent of x element-wise. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Atanh tf.raw_ops.Atanh( x, name=None ) Given an input tensor, this function computes inverse hyperbolic tangent for every element in the ...
tensorflow.raw_ops.atanh
tf.raw_ops.AudioSpectrogram Produces a visualization of audio data over time. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AudioSpectrogram tf.raw_ops.AudioSpectrogram( input, window_size, stride, magnitude_squared=False, name=None ) Spectrograms are a s...
tensorflow.raw_ops.audiospectrogram
tf.raw_ops.AudioSummary Outputs a Summary protocol buffer with audio. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AudioSummary tf.raw_ops.AudioSummary( tag, tensor, sample_rate, max_outputs=3, name=None ) The summary has up to max_outputs summary values...
tensorflow.raw_ops.audiosummary
tf.raw_ops.AudioSummaryV2 Outputs a Summary protocol buffer with audio. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AudioSummaryV2 tf.raw_ops.AudioSummaryV2( tag, tensor, sample_rate, max_outputs=3, name=None ) The summary has up to max_outputs summary ...
tensorflow.raw_ops.audiosummaryv2
tf.raw_ops.AutoShardDataset Creates a dataset that shards the input dataset. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AutoShardDataset tf.raw_ops.AutoShardDataset( input_dataset, num_workers, index, output_types, output_shapes, auto_shard_policy=0...
tensorflow.raw_ops.autosharddataset
tf.raw_ops.AvgPool Performs average pooling on the input. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AvgPool tf.raw_ops.AvgPool( value, ksize, strides, padding, data_format='NHWC', name=None ) Each entry in output is the mean of the corresponding size ...
tensorflow.raw_ops.avgpool
tf.raw_ops.AvgPool3D Performs 3D average pooling on the input. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AvgPool3D tf.raw_ops.AvgPool3D( input, ksize, strides, padding, data_format='NDHWC', name=None ) Each entry in output is the mean of the correspon...
tensorflow.raw_ops.avgpool3d
tf.raw_ops.AvgPool3DGrad Computes gradients of average pooling function. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AvgPool3DGrad tf.raw_ops.AvgPool3DGrad( orig_input_shape, grad, ksize, strides, padding, data_format='NDHWC', name=None ) Args ...
tensorflow.raw_ops.avgpool3dgrad
tf.raw_ops.AvgPoolGrad Computes gradients of the average pooling function. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.AvgPoolGrad tf.raw_ops.AvgPoolGrad( orig_input_shape, grad, ksize, strides, padding, data_format='NHWC', name=None ) Args o...
tensorflow.raw_ops.avgpoolgrad
tf.raw_ops.BandedTriangularSolve View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.BandedTriangularSolve tf.raw_ops.BandedTriangularSolve( matrix, rhs, lower=True, adjoint=False, name=None ) Args matrix A Tensor. Must be one of the following types: f...
tensorflow.raw_ops.bandedtriangularsolve
tf.raw_ops.Barrier Defines a barrier that persists across different graph executions. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Barrier tf.raw_ops.Barrier( component_types, shapes=[], capacity=-1, container='', shared_name='', name=None ) A barrie...
tensorflow.raw_ops.barrier
tf.raw_ops.BarrierClose Closes the given barrier. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.BarrierClose tf.raw_ops.BarrierClose( handle, cancel_pending_enqueues=False, name=None ) This operation signals that no more new elements will be inserted in t...
tensorflow.raw_ops.barrierclose
tf.raw_ops.BarrierIncompleteSize Computes the number of incomplete elements in the given barrier. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.BarrierIncompleteSize tf.raw_ops.BarrierIncompleteSize( handle, name=None ) Args handle A Tensor of ty...
tensorflow.raw_ops.barrierincompletesize
tf.raw_ops.BarrierInsertMany For each key, assigns the respective value to the specified component. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.BarrierInsertMany tf.raw_ops.BarrierInsertMany( handle, keys, values, component_index, name=None ) If a key i...
tensorflow.raw_ops.barrierinsertmany
tf.raw_ops.BarrierReadySize Computes the number of complete elements in the given barrier. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.BarrierReadySize tf.raw_ops.BarrierReadySize( handle, name=None ) Args handle A Tensor of type mutable string...
tensorflow.raw_ops.barrierreadysize
tf.raw_ops.BarrierTakeMany Takes the given number of completed elements from a barrier. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.BarrierTakeMany tf.raw_ops.BarrierTakeMany( handle, num_elements, component_types, allow_small_batch=False, wait_for_i...
tensorflow.raw_ops.barriertakemany
tf.raw_ops.Batch Batches all input tensors nondeterministically. View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.Batch tf.raw_ops.Batch( in_tensors, num_batch_threads, max_batch_size, batch_timeout_micros, grad_timeout_micros, max_enqueued_batches=10, al...
tensorflow.raw_ops.batch
tf.raw_ops.BatchCholesky View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.BatchCholesky tf.raw_ops.BatchCholesky( input, name=None ) Args input A Tensor. Must be one of the following types: float64, float32. name A name for the operation (opti...
tensorflow.raw_ops.batchcholesky
tf.raw_ops.BatchCholeskyGrad View aliases Compat aliases for migration See Migration guide for more details. tf.compat.v1.raw_ops.BatchCholeskyGrad tf.raw_ops.BatchCholeskyGrad( l, grad, name=None ) Args l A Tensor. Must be one of the following types: float32, float64. grad A Tensor. Must have ...
tensorflow.raw_ops.batchcholeskygrad