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::CheckNumerics | Checks a tensor for NaN and Inf values. |

tensorflow::ops::Concat | Concatenates tensors along one dimension. |

tensorflow::ops::DebugGradientIdentity | Identity op for gradient debugging. |

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::ExpandDims | Inserts a dimension of 1 into a tensor's shape. |

tensorflow::ops::ExtractImagePatches | Extract |

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 |

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: |

tensorflow::ops::FakeQuantWithMinMaxVarsPerChannelGradient | Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation. |

tensorflow::ops::Fill | Creates a tensor filled with a scalar value. |

tensorflow::ops::Gather | Gather slices from |

tensorflow::ops::GatherNd | Gather slices from |

tensorflow::ops::GatherV2 | Gather slices from |

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::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 |

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 |

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::QuantizedReshape | Reshapes a quantized tensor as per the Reshape op. |

tensorflow::ops::Rank | Returns the rank of a tensor. |

tensorflow::ops::Reshape | Reshapes a tensor. |

tensorflow::ops::ResourceStridedSliceAssign | Assign |

tensorflow::ops::Reverse | Reverses specific dimensions of a tensor. |

tensorflow::ops::ReverseSequence | Reverses variable length slices. |

tensorflow::ops::ScatterNd | Scatter |

tensorflow::ops::ScatterNdNonAliasingAdd | Applies sparse addition to |

tensorflow::ops::SetDiff1D | Computes the difference between two lists of numbers or strings. |

tensorflow::ops::Shape | Returns the shape of a tensor. |

tensorflow::ops::ShapeN | Returns shape of tensors. |

tensorflow::ops::Size | Returns the size of a tensor. |

tensorflow::ops::Slice | Return a slice from 'input'. |

tensorflow::ops::SpaceToBatch | SpaceToBatch for 4-D tensors of type T. |

tensorflow::ops::SpaceToBatchND | SpaceToBatch for N-D tensors of type T. |

tensorflow::ops::SpaceToDepth | SpaceToDepth for tensors of type T. |

tensorflow::ops::Split | Splits a tensor into |

tensorflow::ops::SplitV | Splits a tensor into |

tensorflow::ops::Squeeze | Removes dimensions of size 1 from the shape of a tensor. |

tensorflow::ops::Stack | Packs a list of |

tensorflow::ops::StopGradient | Stops gradient computation. |

tensorflow::ops::StridedSlice | Return a strided slice from |

tensorflow::ops::StridedSliceAssign | Assign |

tensorflow::ops::StridedSliceGrad | Returns the gradient of |

tensorflow::ops::Tile | Constructs a tensor by tiling a given tensor. |

tensorflow::ops::Transpose | Shuffle dimensions of x according to a permutation. |

tensorflow::ops::Unique | Finds unique elements in a 1-D tensor. |

tensorflow::ops::UniqueWithCounts | Finds unique elements in a 1-D tensor. |

tensorflow::ops::Unstack | Unpacks a given dimension of a rank- |

tensorflow::ops::Where | Returns locations of true values in a boolean tensor. |

tensorflow::ops::ZerosLike | Returns a tensor of zeros with the same shape and type as x. |

© 2017 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/api_docs/cc/group/array-ops