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tf.raw_ops.ScatterNdUpdate Applies sparse updates to individual values or slices within a given View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ScatterNdUpdate
tf.raw_ops.ScatterNdUpdate(
ref, indices, updates, use_locking=True, name=None
)
variable accor... | tensorflow.raw_ops.scatterndupdate |
tf.raw_ops.ScatterSub Subtracts sparse updates to a variable reference. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ScatterSub
tf.raw_ops.ScatterSub(
ref, indices, updates, use_locking=False, name=None
)
# Scalar indices
ref[indices, ...] -= updates[...... | tensorflow.raw_ops.scattersub |
tf.raw_ops.ScatterUpdate Applies sparse updates to a variable reference. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ScatterUpdate
tf.raw_ops.ScatterUpdate(
ref, indices, updates, use_locking=True, name=None
)
This operation computes # Scalar indices
re... | tensorflow.raw_ops.scatterupdate |
tf.raw_ops.SdcaFprint Computes fingerprints of the input strings. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SdcaFprint
tf.raw_ops.SdcaFprint(
input, name=None
)
Args
input A Tensor of type string. vector of strings to compute fingerprints on.... | tensorflow.raw_ops.sdcafprint |
tf.raw_ops.SdcaOptimizer Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SdcaOptimizer
tf.raw_ops.SdcaOptimizer(
sparse_example_indices, sparse_feature_indices, sparse_feature_va... | tensorflow.raw_ops.sdcaoptimizer |
tf.raw_ops.SdcaOptimizerV2 Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SdcaOptimizerV2
tf.raw_ops.SdcaOptimizerV2(
sparse_example_indices, sparse_feature_indices, sparse_feat... | tensorflow.raw_ops.sdcaoptimizerv2 |
tf.raw_ops.SdcaShrinkL1 Applies L1 regularization shrink step on the parameters. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SdcaShrinkL1
tf.raw_ops.SdcaShrinkL1(
weights, l1, l2, name=None
)
Args
weights A list of Tensor objects with type muta... | tensorflow.raw_ops.sdcashrinkl1 |
tf.raw_ops.SegmentMax Computes the maximum along segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SegmentMax
tf.raw_ops.SegmentMax(
data, segment_ids, name=None
)
Read the section on segmentation for an explanation of segments. Comput... | tensorflow.raw_ops.segmentmax |
tf.raw_ops.SegmentMean Computes the mean along segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SegmentMean
tf.raw_ops.SegmentMean(
data, segment_ids, name=None
)
Read the section on segmentation for an explanation of segments. Comput... | tensorflow.raw_ops.segmentmean |
tf.raw_ops.SegmentMin Computes the minimum along segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SegmentMin
tf.raw_ops.SegmentMin(
data, segment_ids, name=None
)
Read the section on segmentation for an explanation of segments. Comput... | tensorflow.raw_ops.segmentmin |
tf.raw_ops.SegmentProd Computes the product along segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SegmentProd
tf.raw_ops.SegmentProd(
data, segment_ids, name=None
)
Read the section on segmentation for an explanation of segments. Com... | tensorflow.raw_ops.segmentprod |
tf.raw_ops.SegmentSum Computes the sum along segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SegmentSum
tf.raw_ops.SegmentSum(
data, segment_ids, name=None
)
Read the section on segmentation for an explanation of segments. Computes a... | tensorflow.raw_ops.segmentsum |
tf.raw_ops.Select Selects elements from x or y, depending on condition. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Select
tf.raw_ops.Select(
condition, x, y, name=None
)
The x, and y tensors must all have the same shape, and the output will also have t... | tensorflow.raw_ops.select |
tf.raw_ops.SelectV2 View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SelectV2
tf.raw_ops.SelectV2(
condition, t, e, name=None
)
Args
condition A Tensor of type bool.
t A Tensor.
e A Tensor. Must have the same type as t.
name A name... | tensorflow.raw_ops.selectv2 |
tf.raw_ops.SelfAdjointEig Computes the Eigen Decomposition of a batch of square self-adjoint matrices. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SelfAdjointEig
tf.raw_ops.SelfAdjointEig(
input, name=None
)
The input is a tensor of shape [..., M, M] wh... | tensorflow.raw_ops.selfadjointeig |
tf.raw_ops.SelfAdjointEigV2 Computes the eigen decomposition of one or more square self-adjoint matrices. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SelfAdjointEigV2
tf.raw_ops.SelfAdjointEigV2(
input, compute_v=True, name=None
)
Computes the eigenvalu... | tensorflow.raw_ops.selfadjointeigv2 |
tf.raw_ops.Selu Computes scaled exponential linear: scale * alpha * (exp(features) - 1) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Selu
tf.raw_ops.Selu(
features, name=None
)
if < 0, scale * features otherwise. To be used together with initializer = tf... | tensorflow.raw_ops.selu |
tf.raw_ops.SeluGrad Computes gradients for the scaled exponential linear (Selu) operation. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SeluGrad
tf.raw_ops.SeluGrad(
gradients, outputs, name=None
)
Args
gradients A Tensor. Must be one of the fol... | tensorflow.raw_ops.selugrad |
tf.raw_ops.Send Sends the named tensor from send_device to recv_device. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Send
tf.raw_ops.Send(
tensor, tensor_name, send_device, send_device_incarnation, recv_device,
client_terminated=False, name=None
)
... | tensorflow.raw_ops.send |
tf.raw_ops.SendTPUEmbeddingGradients Performs gradient updates of embedding tables. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SendTPUEmbeddingGradients
tf.raw_ops.SendTPUEmbeddingGradients(
inputs, learning_rates, config, name=None
)
Args
input... | tensorflow.raw_ops.sendtpuembeddinggradients |
tf.raw_ops.SerializeIterator Converts the given resource_handle representing an iterator to a variant tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SerializeIterator
tf.raw_ops.SerializeIterator(
resource_handle, external_state_policy=0, name=None
... | tensorflow.raw_ops.serializeiterator |
tf.raw_ops.SerializeManySparse Serialize an N-minibatch SparseTensor into an [N, 3] Tensor object. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SerializeManySparse
tf.raw_ops.SerializeManySparse(
sparse_indices, sparse_values, sparse_shape, out_type=tf.dt... | tensorflow.raw_ops.serializemanysparse |
tf.raw_ops.SerializeSparse Serialize a SparseTensor into a [3] Tensor object. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SerializeSparse
tf.raw_ops.SerializeSparse(
sparse_indices, sparse_values, sparse_shape, out_type=tf.dtypes.string,
name=None
)
... | tensorflow.raw_ops.serializesparse |
tf.raw_ops.SerializeTensor Transforms a Tensor into a serialized TensorProto proto. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SerializeTensor
tf.raw_ops.SerializeTensor(
tensor, name=None
)
Args
tensor A Tensor. A Tensor of type T.
name ... | tensorflow.raw_ops.serializetensor |
tf.raw_ops.SetSize Number of unique elements along last dimension of input set. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SetSize
tf.raw_ops.SetSize(
set_indices, set_values, set_shape, validate_indices=True, name=None
)
Input set is a SparseTensor re... | tensorflow.raw_ops.setsize |
tf.raw_ops.SetStatsAggregatorDataset View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SetStatsAggregatorDataset
tf.raw_ops.SetStatsAggregatorDataset(
input_dataset, stats_aggregator, tag, counter_prefix, output_types,
output_shapes, name=None
)
Args... | tensorflow.raw_ops.setstatsaggregatordataset |
tf.raw_ops.Shape Returns the shape of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Shape
tf.raw_ops.Shape(
input, out_type=tf.dtypes.int32, name=None
)
This operation returns a 1-D integer tensor representing the shape of input. For example: # ... | tensorflow.raw_ops.shape |
tf.raw_ops.ShapeN Returns shape of tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ShapeN
tf.raw_ops.ShapeN(
input, out_type=tf.dtypes.int32, name=None
)
This operation returns N 1-D integer tensors representing shape of input[i]s.
Args
inpu... | tensorflow.raw_ops.shapen |
tf.raw_ops.ShardDataset Creates a Dataset that includes only 1/num_shards of this dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ShardDataset
tf.raw_ops.ShardDataset(
input_dataset, num_shards, index, output_types, output_shapes,
require_non_em... | tensorflow.raw_ops.sharddataset |
tf.raw_ops.ShardedFilename Generate a sharded filename. The filename is printf formatted as View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ShardedFilename
tf.raw_ops.ShardedFilename(
basename, shard, num_shards, name=None
)
%s-%05d-of-%05d, basename, shard... | tensorflow.raw_ops.shardedfilename |
tf.raw_ops.ShardedFilespec Generate a glob pattern matching all sharded file names. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ShardedFilespec
tf.raw_ops.ShardedFilespec(
basename, num_shards, name=None
)
Args
basename A Tensor of type string.... | tensorflow.raw_ops.shardedfilespec |
tf.raw_ops.ShuffleAndRepeatDataset Creates a dataset that shuffles and repeats elements from input_dataset View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ShuffleAndRepeatDataset
tf.raw_ops.ShuffleAndRepeatDataset(
input_dataset, buffer_size, seed, seed2, co... | tensorflow.raw_ops.shuffleandrepeatdataset |
tf.raw_ops.ShuffleAndRepeatDatasetV2 View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ShuffleAndRepeatDatasetV2
tf.raw_ops.ShuffleAndRepeatDatasetV2(
input_dataset, buffer_size, seed, seed2, count, seed_generator, output_types,
output_shapes, reshuffle_ea... | tensorflow.raw_ops.shuffleandrepeatdatasetv2 |
tf.raw_ops.ShuffleDataset Creates a dataset that shuffles elements from input_dataset pseudorandomly. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ShuffleDataset
tf.raw_ops.ShuffleDataset(
input_dataset, buffer_size, seed, seed2, output_types, output_shap... | tensorflow.raw_ops.shuffledataset |
tf.raw_ops.ShuffleDatasetV2 View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ShuffleDatasetV2
tf.raw_ops.ShuffleDatasetV2(
input_dataset, buffer_size, seed_generator, output_types, output_shapes,
name=None
)
Args
input_dataset A Tensor of type v... | tensorflow.raw_ops.shuffledatasetv2 |
tf.raw_ops.ShuffleDatasetV3 View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ShuffleDatasetV3
tf.raw_ops.ShuffleDatasetV3(
input_dataset, buffer_size, seed, seed2, seed_generator, output_types,
output_shapes, reshuffle_each_iteration=True, name=None
)
... | tensorflow.raw_ops.shuffledatasetv3 |
tf.raw_ops.ShutdownDistributedTPU Shuts down a running distributed TPU system. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ShutdownDistributedTPU
tf.raw_ops.ShutdownDistributedTPU(
name=None
)
The op returns an error if no system is running.
Args
... | tensorflow.raw_ops.shutdowndistributedtpu |
tf.raw_ops.Sigmoid Computes sigmoid of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Sigmoid
tf.raw_ops.Sigmoid(
x, name=None
)
Specifically, y = 1 / (1 + exp(-x)).
Args
x A Tensor. Must be one of the following types: bfloat16, ha... | tensorflow.raw_ops.sigmoid |
tf.raw_ops.SigmoidGrad Computes the gradient of the sigmoid of x wrt its input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SigmoidGrad
tf.raw_ops.SigmoidGrad(
y, dy, name=None
)
Specifically, grad = dy * y * (1 - y), where y = sigmoid(x), and dy is the... | tensorflow.raw_ops.sigmoidgrad |
tf.raw_ops.Sign Returns an element-wise indication of the sign of a number. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Sign
tf.raw_ops.Sign(
x, name=None
)
y = sign(x) = -1 if x < 0; 0 if x == 0; 1 if x > 0. For complex numbers, y = sign(x) = x / |x| i... | tensorflow.raw_ops.sign |
tf.raw_ops.Sin Computes sine of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Sin
tf.raw_ops.Sin(
x, name=None
)
Given an input tensor, this function computes sine of every element in the tensor. Input range is (-inf, inf) and output range... | tensorflow.raw_ops.sin |
tf.raw_ops.Sinh Computes hyperbolic sine of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Sinh
tf.raw_ops.Sinh(
x, name=None
)
Given an input tensor, this function computes hyperbolic sine of every element in the tensor. Input range is [-i... | tensorflow.raw_ops.sinh |
tf.raw_ops.Size Returns the size of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Size
tf.raw_ops.Size(
input, out_type=tf.dtypes.int32, name=None
)
This operation returns an integer representing the number of elements in input. For example: # '... | tensorflow.raw_ops.size |
tf.raw_ops.SkipDataset Creates a dataset that skips count elements from the input_dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SkipDataset
tf.raw_ops.SkipDataset(
input_dataset, count, output_types, output_shapes, name=None
)
Args
input_d... | tensorflow.raw_ops.skipdataset |
tf.raw_ops.SleepDataset View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SleepDataset
tf.raw_ops.SleepDataset(
input_dataset, sleep_microseconds, output_types, output_shapes, name=None
)
Args
input_dataset A Tensor of type variant.
sleep_microse... | tensorflow.raw_ops.sleepdataset |
tf.raw_ops.Slice Return a slice from 'input'. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Slice
tf.raw_ops.Slice(
input, begin, size, name=None
)
The output tensor is a tensor with dimensions described by 'size' whose values are extracted from 'input' s... | tensorflow.raw_ops.slice |
tf.raw_ops.SlidingWindowDataset Creates a dataset that passes a sliding window over input_dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SlidingWindowDataset
tf.raw_ops.SlidingWindowDataset(
input_dataset, window_size, window_shift, window_stride, ... | tensorflow.raw_ops.slidingwindowdataset |
tf.raw_ops.Snapshot Returns a copy of the input tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Snapshot
tf.raw_ops.Snapshot(
input, name=None
)
Args
input A Tensor.
name A name for the operation (optional).
Returns A Tensor... | tensorflow.raw_ops.snapshot |
tf.raw_ops.SnapshotDataset Creates a dataset that will write to / read from a snapshot. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SnapshotDataset
tf.raw_ops.SnapshotDataset(
input_dataset, path, output_types, output_shapes, compression='',
reader_p... | tensorflow.raw_ops.snapshotdataset |
tf.raw_ops.SnapshotDatasetV2 Creates a dataset that will write to / read from a snapshot. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SnapshotDatasetV2
tf.raw_ops.SnapshotDatasetV2(
input_dataset, path, reader_func_other_args, shard_func_other_args,
... | tensorflow.raw_ops.snapshotdatasetv2 |
tf.raw_ops.SobolSample Generates points from the Sobol sequence. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SobolSample
tf.raw_ops.SobolSample(
dim, num_results, skip, dtype=tf.dtypes.float32, name=None
)
Creates a Sobol sequence with num_results sampl... | tensorflow.raw_ops.sobolsample |
tf.raw_ops.Softmax Computes softmax activations. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Softmax
tf.raw_ops.Softmax(
logits, name=None
)
For each batch i and class j we have $$softmax[i, j] = exp(logits[i, j]) / sum_j(exp(logits[i, j]))$$
A... | tensorflow.raw_ops.softmax |
tf.raw_ops.SoftmaxCrossEntropyWithLogits Computes softmax cross entropy cost and gradients to backpropagate. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SoftmaxCrossEntropyWithLogits
tf.raw_ops.SoftmaxCrossEntropyWithLogits(
features, labels, name=None
)... | tensorflow.raw_ops.softmaxcrossentropywithlogits |
tf.raw_ops.Softplus Computes softplus: log(exp(features) + 1). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Softplus
tf.raw_ops.Softplus(
features, name=None
)
Args
features A Tensor. Must be one of the following types: half, bfloat16, float32, ... | tensorflow.raw_ops.softplus |
tf.raw_ops.SoftplusGrad Computes softplus gradients for a softplus operation. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SoftplusGrad
tf.raw_ops.SoftplusGrad(
gradients, features, name=None
)
Args
gradients A Tensor. Must be one of the followi... | tensorflow.raw_ops.softplusgrad |
tf.raw_ops.Softsign Computes softsign: features / (abs(features) + 1). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Softsign
tf.raw_ops.Softsign(
features, name=None
)
Args
features A Tensor. Must be one of the following types: half, bfloat16, f... | tensorflow.raw_ops.softsign |
tf.raw_ops.SoftsignGrad Computes softsign gradients for a softsign operation. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SoftsignGrad
tf.raw_ops.SoftsignGrad(
gradients, features, name=None
)
Args
gradients A Tensor. Must be one of the followi... | tensorflow.raw_ops.softsigngrad |
tf.raw_ops.SpaceToBatch SpaceToBatch for 4-D tensors of type T. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SpaceToBatch
tf.raw_ops.SpaceToBatch(
input, paddings, block_size, name=None
)
This is a legacy version of the more general SpaceToBatchND. Zero-... | tensorflow.raw_ops.spacetobatch |
tf.raw_ops.SpaceToBatchND SpaceToBatch for N-D tensors of type T. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SpaceToBatchND
tf.raw_ops.SpaceToBatchND(
input, block_shape, paddings, name=None
)
This operation divides "spatial" dimensions [1, ..., M] of ... | tensorflow.raw_ops.spacetobatchnd |
tf.raw_ops.SpaceToDepth SpaceToDepth for tensors of type T. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SpaceToDepth
tf.raw_ops.SpaceToDepth(
input, block_size, data_format='NHWC', name=None
)
Rearranges blocks of spatial data, into depth. More specific... | tensorflow.raw_ops.spacetodepth |
tf.raw_ops.SparseAccumulatorApplyGradient Applies a sparse gradient to a given accumulator. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseAccumulatorApplyGradient
tf.raw_ops.SparseAccumulatorApplyGradient(
handle, local_step, gradient_indices, gradie... | tensorflow.raw_ops.sparseaccumulatorapplygradient |
tf.raw_ops.SparseAccumulatorTakeGradient Extracts the average sparse gradient in a SparseConditionalAccumulator. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseAccumulatorTakeGradient
tf.raw_ops.SparseAccumulatorTakeGradient(
handle, num_required, dty... | tensorflow.raw_ops.sparseaccumulatortakegradient |
tf.raw_ops.SparseAdd Adds two SparseTensor objects to produce another SparseTensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseAdd
tf.raw_ops.SparseAdd(
a_indices, a_values, a_shape, b_indices, b_values, b_shape, thresh, name=None
)
The input Spa... | tensorflow.raw_ops.sparseadd |
tf.raw_ops.SparseAddGrad The gradient operator for the SparseAdd op. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseAddGrad
tf.raw_ops.SparseAddGrad(
backprop_val_grad, a_indices, b_indices, sum_indices, name=None
)
The SparseAdd op calculates A + B,... | tensorflow.raw_ops.sparseaddgrad |
tf.raw_ops.SparseApplyAdadelta var: Should be from a Variable(). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyAdadelta
tf.raw_ops.SparseApplyAdadelta(
var, accum, accum_update, lr, rho, epsilon, grad, indices, use_locking=False,
name=None
)... | tensorflow.raw_ops.sparseapplyadadelta |
tf.raw_ops.SparseApplyAdagrad Update relevant entries in 'var' and 'accum' according to the adagrad scheme. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyAdagrad
tf.raw_ops.SparseApplyAdagrad(
var, accum, lr, grad, indices, use_locking=False, ... | tensorflow.raw_ops.sparseapplyadagrad |
tf.raw_ops.SparseApplyAdagradDA Update entries in 'var' and 'accum' according to the proximal adagrad scheme. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyAdagradDA
tf.raw_ops.SparseApplyAdagradDA(
var, gradient_accumulator, gradient_squared_ac... | tensorflow.raw_ops.sparseapplyadagradda |
tf.raw_ops.SparseApplyAdagradV2 Update relevant entries in 'var' and 'accum' according to the adagrad scheme. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyAdagradV2
tf.raw_ops.SparseApplyAdagradV2(
var, accum, lr, epsilon, grad, indices, use_... | tensorflow.raw_ops.sparseapplyadagradv2 |
tf.raw_ops.SparseApplyCenteredRMSProp 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.SparseApplyCenteredRMSProp
tf.raw_ops.SparseApplyCenteredRMSProp(
var, mg, ms, mom, lr, rho, momentum, epsilon,... | tensorflow.raw_ops.sparseapplycenteredrmsprop |
tf.raw_ops.SparseApplyFtrl Update relevant entries in '*var' according to the Ftrl-proximal scheme. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyFtrl
tf.raw_ops.SparseApplyFtrl(
var, accum, linear, grad, indices, lr, l1, l2, lr_power, use_loc... | tensorflow.raw_ops.sparseapplyftrl |
tf.raw_ops.SparseApplyFtrlV2 Update relevant entries in '*var' according to the Ftrl-proximal scheme. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyFtrlV2
tf.raw_ops.SparseApplyFtrlV2(
var, accum, linear, grad, indices, lr, l1, l2, l2_shrinkage,... | tensorflow.raw_ops.sparseapplyftrlv2 |
tf.raw_ops.SparseApplyMomentum Update relevant entries in 'var' and 'accum' according to the momentum scheme. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyMomentum
tf.raw_ops.SparseApplyMomentum(
var, accum, lr, grad, indices, momentum, use_l... | tensorflow.raw_ops.sparseapplymomentum |
tf.raw_ops.SparseApplyProximalAdagrad Sparse update entries in 'var' and 'accum' according to FOBOS algorithm. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyProximalAdagrad
tf.raw_ops.SparseApplyProximalAdagrad(
var, accum, lr, l1, l2, grad, i... | tensorflow.raw_ops.sparseapplyproximaladagrad |
tf.raw_ops.SparseApplyProximalGradientDescent Sparse 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.SparseApplyProximalGradientDescent
tf.raw_ops.SparseApplyProximalGradientDescent(
var, alpha, l1... | tensorflow.raw_ops.sparseapplyproximalgradientdescent |
tf.raw_ops.SparseApplyRMSProp Update '*var' according to the RMSProp algorithm. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyRMSProp
tf.raw_ops.SparseApplyRMSProp(
var, ms, mom, lr, rho, momentum, epsilon, grad, indices, use_locking=False,
... | tensorflow.raw_ops.sparseapplyrmsprop |
tf.raw_ops.SparseBincount Counts the number of occurrences of each value in an integer array. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseBincount
tf.raw_ops.SparseBincount(
indices, values, dense_shape, size, weights, binary_output=False, name=Non... | tensorflow.raw_ops.sparsebincount |
tf.raw_ops.SparseConcat Concatenates a list of SparseTensor along the specified dimension. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseConcat
tf.raw_ops.SparseConcat(
indices, values, shapes, concat_dim, name=None
)
Concatenation is with respect t... | tensorflow.raw_ops.sparseconcat |
tf.raw_ops.SparseConditionalAccumulator A conditional accumulator for aggregating sparse gradients. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseConditionalAccumulator
tf.raw_ops.SparseConditionalAccumulator(
dtype, shape, container='', shared_name=... | tensorflow.raw_ops.sparseconditionalaccumulator |
tf.raw_ops.SparseCountSparseOutput Performs sparse-output bin counting for a sparse tensor input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseCountSparseOutput
tf.raw_ops.SparseCountSparseOutput(
indices, values, dense_shape, weights, binary_output... | tensorflow.raw_ops.sparsecountsparseoutput |
tf.raw_ops.SparseCross Generates sparse cross from a list of sparse and dense tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseCross
tf.raw_ops.SparseCross(
indices, values, shapes, dense_inputs, hashed_output, num_buckets, hash_key,
out_ty... | tensorflow.raw_ops.sparsecross |
tf.raw_ops.SparseCrossHashed Generates sparse cross from a list of sparse and dense tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseCrossHashed
tf.raw_ops.SparseCrossHashed(
indices, values, shapes, dense_inputs, num_buckets, strong_hash, salt... | tensorflow.raw_ops.sparsecrosshashed |
tf.raw_ops.SparseCrossV2 Generates sparse cross from a list of sparse and dense tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseCrossV2
tf.raw_ops.SparseCrossV2(
indices, values, shapes, dense_inputs, sep, name=None
)
The op takes two lists, ... | tensorflow.raw_ops.sparsecrossv2 |
tf.raw_ops.SparseDenseCwiseAdd Adds up a SparseTensor and a dense Tensor, using these special rules: View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseDenseCwiseAdd
tf.raw_ops.SparseDenseCwiseAdd(
sp_indices, sp_values, sp_shape, dense, name=None
)
(1) ... | tensorflow.raw_ops.sparsedensecwiseadd |
tf.raw_ops.SparseDenseCwiseDiv Component-wise divides a SparseTensor by a dense Tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseDenseCwiseDiv
tf.raw_ops.SparseDenseCwiseDiv(
sp_indices, sp_values, sp_shape, dense, name=None
)
Limitation: this ... | tensorflow.raw_ops.sparsedensecwisediv |
tf.raw_ops.SparseDenseCwiseMul Component-wise multiplies a SparseTensor by a dense Tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseDenseCwiseMul
tf.raw_ops.SparseDenseCwiseMul(
sp_indices, sp_values, sp_shape, dense, name=None
)
The output loc... | tensorflow.raw_ops.sparsedensecwisemul |
tf.raw_ops.SparseFillEmptyRows Fills empty rows in the input 2-D SparseTensor with a default value. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseFillEmptyRows
tf.raw_ops.SparseFillEmptyRows(
indices, values, dense_shape, default_value, name=None
)
... | tensorflow.raw_ops.sparsefillemptyrows |
tf.raw_ops.SparseFillEmptyRowsGrad The gradient of SparseFillEmptyRows. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseFillEmptyRowsGrad
tf.raw_ops.SparseFillEmptyRowsGrad(
reverse_index_map, grad_values, name=None
)
Takes vectors reverse_index_map, ... | tensorflow.raw_ops.sparsefillemptyrowsgrad |
tf.raw_ops.SparseMatMul Multiply matrix "a" by matrix "b". View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatMul
tf.raw_ops.SparseMatMul(
a, b, transpose_a=False, transpose_b=False, a_is_sparse=False,
b_is_sparse=False, name=None
)
The inputs mus... | tensorflow.raw_ops.sparsematmul |
tf.raw_ops.SparseMatrixAdd Sparse addition of two CSR matrices, C = alpha * A + beta * B. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixAdd
tf.raw_ops.SparseMatrixAdd(
a, b, alpha, beta, name=None
)
The gradients of SparseMatrixAdd outputs wit... | tensorflow.raw_ops.sparsematrixadd |
tf.raw_ops.SparseMatrixMatMul Matrix-multiplies a sparse matrix with a dense matrix. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixMatMul
tf.raw_ops.SparseMatrixMatMul(
a, b, transpose_a=False, transpose_b=False, adjoint_a=False, adjoint_b=Fals... | tensorflow.raw_ops.sparsematrixmatmul |
tf.raw_ops.SparseMatrixMul Element-wise multiplication of a sparse matrix with a dense tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixMul
tf.raw_ops.SparseMatrixMul(
a, b, name=None
)
Returns a sparse matrix. The dense tensor b may be e... | tensorflow.raw_ops.sparsematrixmul |
tf.raw_ops.SparseMatrixNNZ Returns the number of nonzeroes of sparse_matrix. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixNNZ
tf.raw_ops.SparseMatrixNNZ(
sparse_matrix, name=None
)
Args
sparse_matrix A Tensor of type variant. A CSRSp... | tensorflow.raw_ops.sparsematrixnnz |
tf.raw_ops.SparseMatrixOrderingAMD Computes the Approximate Minimum Degree (AMD) ordering of input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixOrderingAMD
tf.raw_ops.SparseMatrixOrderingAMD(
input, name=None
)
Computes the Approximate Minim... | tensorflow.raw_ops.sparsematrixorderingamd |
tf.raw_ops.SparseMatrixSoftmax Calculates the softmax of a CSRSparseMatrix. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixSoftmax
tf.raw_ops.SparseMatrixSoftmax(
logits, type, name=None
)
Calculate the softmax of the innermost dimensions of a ... | tensorflow.raw_ops.sparsematrixsoftmax |
tf.raw_ops.SparseMatrixSoftmaxGrad Calculates the gradient of the SparseMatrixSoftmax op. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixSoftmaxGrad
tf.raw_ops.SparseMatrixSoftmaxGrad(
softmax, grad_softmax, type, name=None
)
Args
softma... | tensorflow.raw_ops.sparsematrixsoftmaxgrad |
tf.raw_ops.SparseMatrixSparseCholesky Computes the sparse Cholesky decomposition of input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixSparseCholesky
tf.raw_ops.SparseMatrixSparseCholesky(
input, permutation, type, name=None
)
Computes the S... | tensorflow.raw_ops.sparsematrixsparsecholesky |
tf.raw_ops.SparseMatrixSparseMatMul Sparse-matrix-multiplies two CSR matrices a and b. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixSparseMatMul
tf.raw_ops.SparseMatrixSparseMatMul(
a, b, type, transpose_a=False, transpose_b=False, adjoint_a=F... | tensorflow.raw_ops.sparsematrixsparsematmul |
tf.raw_ops.SparseMatrixTranspose Transposes the inner (matrix) dimensions of a CSRSparseMatrix. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixTranspose
tf.raw_ops.SparseMatrixTranspose(
input, type, conjugate=False, name=None
)
Transposes the ... | tensorflow.raw_ops.sparsematrixtranspose |
tf.raw_ops.SparseMatrixZeros Creates an all-zeros CSRSparseMatrix with shape dense_shape. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixZeros
tf.raw_ops.SparseMatrixZeros(
dense_shape, type, name=None
)
Args
dense_shape A Tensor of ty... | tensorflow.raw_ops.sparsematrixzeros |
tf.raw_ops.SparseReduceMax Computes the max of elements across dimensions of a SparseTensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.SparseReduceMax
tf.raw_ops.SparseReduceMax(
input_indices, input_values, input_shape, reduction_axes, keep_dims=False... | tensorflow.raw_ops.sparsereducemax |
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