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Array Ops

Summary

Classes

tensorflow::ops::BatchToSpace

BatchToSpace for 4-D tensors of type T.

tensorflow::ops::BatchToSpaceND

BatchToSpace for N-D tensors of type T.

tensorflow::ops::Bitcast

Bitcasts a tensor from one type to another without copying data.

tensorflow::ops::BroadcastDynamicShape

Return the shape of s0 op s1 with broadcast.

tensorflow::ops::BroadcastTo

Broadcast an array for a compatible shape.

tensorflow::ops::CheckNumerics

Checks a tensor for NaN and Inf values.

tensorflow::ops::Concat

Concatenates tensors along one dimension.

tensorflow::ops::ConjugateTranspose

Shuffle dimensions of x according to a permutation and conjugate the result.

tensorflow::ops::DebugGradientIdentity

Identity op for gradient debugging.

tensorflow::ops::DebugGradientRefIdentity

Identity op for gradient debugging.

tensorflow::ops::DeepCopy

Makes a copy of x.

tensorflow::ops::DepthToSpace

DepthToSpace for tensors of type T.

tensorflow::ops::Dequantize

Dequantize the 'input' tensor into a float Tensor.

tensorflow::ops::Diag

Returns a diagonal tensor with a given diagonal values.

tensorflow::ops::DiagPart

Returns the diagonal part of the tensor.

tensorflow::ops::EditDistance

Computes the (possibly normalized) Levenshtein Edit Distance.

tensorflow::ops::Empty

Creates a tensor with the given shape.

tensorflow::ops::EnsureShape

Ensures that the tensor's shape matches the expected shape.

tensorflow::ops::ExpandDims

Inserts a dimension of 1 into a tensor's shape.

tensorflow::ops::ExtractImagePatches

Extract patches from images and put them in the "depth" output dimension.

tensorflow::ops::ExtractVolumePatches

Extract patches from input and put them in the "depth" output dimension.

tensorflow::ops::FakeQuantWithMinMaxArgs

Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.

tensorflow::ops::FakeQuantWithMinMaxArgsGradient

Compute gradients for a FakeQuantWithMinMaxArgs operation.

tensorflow::ops::FakeQuantWithMinMaxVars

Fake-quantize the 'inputs' tensor of type float via global float scalars min

tensorflow::ops::FakeQuantWithMinMaxVarsGradient

Compute gradients for a FakeQuantWithMinMaxVars operation.

tensorflow::ops::FakeQuantWithMinMaxVarsPerChannel

Fake-quantize the 'inputs' tensor of type float and one of the shapes: [d],.

tensorflow::ops::FakeQuantWithMinMaxVarsPerChannelGradient

Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.

tensorflow::ops::Fill

Creates a tensor filled with a scalar value.

tensorflow::ops::Fingerprint

Generates fingerprint values.

tensorflow::ops::Gather

Gather slices from params according to indices.

tensorflow::ops::GatherNd

Gather slices from params into a Tensor with shape specified by indices.

tensorflow::ops::GatherV2

Gather slices from params axis axis according to indices.

tensorflow::ops::GuaranteeConst

Gives a guarantee to the TF runtime that the input tensor is a constant.

tensorflow::ops::Identity

Return a tensor with the same shape and contents as the input tensor or value.

tensorflow::ops::IdentityN

Returns a list of tensors with the same shapes and contents as the input.

tensorflow::ops::ImmutableConst

Returns immutable tensor from memory region.

tensorflow::ops::InplaceAdd

Adds v into specified rows of x.

tensorflow::ops::InplaceSub

Subtracts v into specified rows of x.

tensorflow::ops::InplaceUpdate

Updates specified rows with values in v.

tensorflow::ops::InvertPermutation

Computes the inverse permutation of a tensor.

tensorflow::ops::MatrixBandPart

Copy a tensor setting everything outside a central band in each innermost matrix.

tensorflow::ops::MatrixDiag

Returns a batched diagonal tensor with a given batched diagonal values.

tensorflow::ops::MatrixDiagPart

Returns the batched diagonal part of a batched tensor.

tensorflow::ops::MatrixSetDiag

Returns a batched matrix tensor with new batched diagonal values.

tensorflow::ops::MirrorPad

Pads a tensor with mirrored values.

tensorflow::ops::OneHot

Returns a one-hot tensor.

tensorflow::ops::OnesLike

Returns a tensor of ones with the same shape and type as x.

tensorflow::ops::Pad

Pads a tensor with zeros.

tensorflow::ops::PadV2

Pads a tensor.

tensorflow::ops::ParallelConcat

Concatenates a list of N tensors along the first dimension.

tensorflow::ops::Placeholder

A placeholder op for a value that will be fed into the computation.

tensorflow::ops::PlaceholderWithDefault

A placeholder op that passes through input when its output is not fed.

tensorflow::ops::PreventGradient

An identity op that triggers an error if a gradient is requested.

tensorflow::ops::QuantizeAndDequantizeV2

Quantizes then dequantizes a tensor.

tensorflow::ops::QuantizeAndDequantizeV3

Quantizes then dequantizes a tensor.

tensorflow::ops::QuantizeV2

Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.

tensorflow::ops::QuantizedConcat

Concatenates quantized tensors along one dimension.

tensorflow::ops::QuantizedInstanceNorm

Quantized Instance normalization.

tensorflow::ops::SetDiff1D

Computes the difference between two lists of numbers or strings.

tensorflow::ops::Stack

Packs a list of N rank-R tensors into one rank-(R+1) tensor.

tensorflow::ops::Where

Reshapes a quantized tensor as per the Reshape op.

tensorflow::ops::ZerosLike

Returns a tensor of zeros with the same shape and type as x.