Math Ops

Summary


`ReduceSum`	typedef `Sum`
`Sub`	typedef `Subtract`

Typedefs
`Mul`	typedef `Multiply`
`Neg`	typedef `Negate`
`ReduceAll`	typedef `All`
`ReduceAny`	typedef `Any`
`ReduceMax`	typedef `Max`
`ReduceMean`	typedef `Mean`
`ReduceMin`	typedef `Min`
`ReduceProd`	typedef `Prod`

Variables
`Tactivation_ = DT_QUINT8`	`DataType`
`Tout_ = DT_COMPLEX64`	`DataType`
`Tout_ = DT_FLOAT`	`DataType`
`Tout_ = DT_FLOAT`	`DataType`
`Tout_ = DT_FLOAT`	`DataType`
`Toutput_ = DT_QINT32`	`DataType`
`Toutput_ = DT_QINT32`	`DataType`
`a_is_sparse_ = false`	`bool`
`adj_x_ = false`	`bool`
`adj_y_ = false`	`bool`
`b_is_sparse_ = false`	`bool`
`bins`	`::tensorflow::Output`
`exclusive_ = false`	`bool`
`exclusive_ = false`	`bool`
`keep_dims_ = false`	`bool`
`keep_dims_ = false`	`bool`
`keep_dims_ = false`	`bool`
`keep_dims_ = false`	`bool`
`keep_dims_ = false`	`bool`
`keep_dims_ = false`	`bool`
`keep_dims_ = false`	`bool`
`max_out`	`::tensorflow::Output`
`max_z`	`::tensorflow::Output`
`min_out`	`::tensorflow::Output`
`min_z`	`::tensorflow::Output`
`out`	`::tensorflow::Output`
`out`	`::tensorflow::Output`
`out`	`::tensorflow::Output`
`out`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output`	`::tensorflow::Output`
`output_max`	`::tensorflow::Output`
`output_max`	`::tensorflow::Output`
`output_max`	`::tensorflow::Output`
`output_min`	`::tensorflow::Output`
`output_min`	`::tensorflow::Output`
`output_min`	`::tensorflow::Output`
`product`	`::tensorflow::Output`
`product`	`::tensorflow::Output`
`product`	`::tensorflow::Output`
`reverse_ = false`	`bool`
`reverse_ = false`	`bool`
`sum`	`::tensorflow::Output`
`tolerance_ = 1e-05f`	`float`
`transpose_a_ = false`	`bool`
`transpose_a_ = false`	`bool`
`transpose_a_ = false`	`bool`
`transpose_b_ = false`	`bool`
`transpose_b_ = false`	`bool`
`transpose_b_ = false`	`bool`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`y`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`
`z`	`::tensorflow::Output`

Functions
`AIsSparse(bool x)`	`Attrs` Defaults to false.
`AIsSparse(bool x)`	`Attrs`
`Abs(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Acos(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Add(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`AddN(const ::tensorflow::Scope & scope, ::tensorflow::InputList inputs)`
`AdjX(bool x)`	`Attrs` If `True`, adjoint the slices of `x`.
`AdjX(bool x)`	`Attrs`
`AdjY(bool x)`	`Attrs` If `True`, adjoint the slices of `y`.
`AdjY(bool x)`	`Attrs`
`All(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis)`
`All(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis, const All::Attrs & attrs)`
`Any(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis)`
`Any(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis, const Any::Attrs & attrs)`
`ApproximateEqual(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`ApproximateEqual(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y, const ApproximateEqual::Attrs & attrs)`
`ArgMax(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input dimension)`
`ArgMin(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input dimension)`
`Asin(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Atan(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Atan2(const ::tensorflow::Scope & scope, ::tensorflow::Input y, ::tensorflow::Input x)`
`BIsSparse(bool x)`	`Attrs` Defaults to false.
`BIsSparse(bool x)`	`Attrs`
`BatchMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`BatchMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y, const BatchMatMul::Attrs & attrs)`
`Betainc(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input b, ::tensorflow::Input x)`
`Bincount(const ::tensorflow::Scope & scope, ::tensorflow::Input arr, ::tensorflow::Input size, ::tensorflow::Input weights)`
`Bucketize(const ::tensorflow::Scope & scope, ::tensorflow::Input input, const gtl::ArraySlice< float > & boundaries)`
`Cast(const ::tensorflow::Scope & scope, ::tensorflow::Input x, DataType DstT)`
`Ceil(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Complex(const ::tensorflow::Scope & scope, ::tensorflow::Input real, ::tensorflow::Input imag)`
`Complex(const ::tensorflow::Scope & scope, ::tensorflow::Input real, ::tensorflow::Input imag, const Complex::Attrs & attrs)`
`ComplexAbs(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`ComplexAbs(const ::tensorflow::Scope & scope, ::tensorflow::Input x, const ComplexAbs::Attrs & attrs)`
`Conj(const ::tensorflow::Scope & scope, ::tensorflow::Input input)`
`Cos(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Cross(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input b)`
`Cumprod(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis)`
`Cumprod(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis, const Cumprod::Attrs & attrs)`
`Cumsum(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis)`
`Cumsum(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis, const Cumsum::Attrs & attrs)`
`Digamma(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Div(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Equal(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Erf(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Erfc(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Exclusive(bool x)`	`Attrs` Defaults to false.
`Exclusive(bool x)`	`Attrs`
`Exclusive(bool x)`	`Attrs` Defaults to false.
`Exclusive(bool x)`	`Attrs`
`Exp(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Expm1(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Floor(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`FloorDiv(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`FloorMod(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Greater(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`GreaterEqual(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Igamma(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input x)`
`Igammac(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input x)`
`Imag(const ::tensorflow::Scope & scope, ::tensorflow::Input input)`
`Imag(const ::tensorflow::Scope & scope, ::tensorflow::Input input, const Imag::Attrs & attrs)`
`IsFinite(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`IsInf(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`IsNan(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`KeepDims(bool x)`	`Attrs` If true, retain reduced dimensions with length 1.
`KeepDims(bool x)`	`Attrs`
`KeepDims(bool x)`	`Attrs` If true, retain reduced dimensions with length 1.
`KeepDims(bool x)`	`Attrs`
`KeepDims(bool x)`	`Attrs` If true, retain reduced dimensions with length 1.
`KeepDims(bool x)`	`Attrs`
`KeepDims(bool x)`	`Attrs` If true, retain reduced dimensions with length 1.
`KeepDims(bool x)`	`Attrs`
`KeepDims(bool x)`	`Attrs` If true, retain reduced dimensions with length 1.
`KeepDims(bool x)`	`Attrs`
`KeepDims(bool x)`	`Attrs` If true, retain reduced dimensions with length 1.
`KeepDims(bool x)`	`Attrs`
`KeepDims(bool x)`	`Attrs` If true, retain reduced dimensions with length 1.
`KeepDims(bool x)`	`Attrs`
`Less(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`LessEqual(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Lgamma(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`LinSpace(const ::tensorflow::Scope & scope, ::tensorflow::Input start, ::tensorflow::Input stop, ::tensorflow::Input num)`
`Log(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Log1p(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`LogicalAnd(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`LogicalNot(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`LogicalOr(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`MatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input b)`
`MatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input b, const MatMul::Attrs & attrs)`
`Max(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis)`
`Max(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis, const Max::Attrs & attrs)`
`Maximum(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Mean(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis)`
`Mean(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis, const Mean::Attrs & attrs)`
`Min(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis)`
`Min(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis, const Min::Attrs & attrs)`
`Minimum(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Mod(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Multiply(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Negate(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`NotEqual(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Polygamma(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input x)`
`Pow(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Prod(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis)`
`Prod(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis, const Prod::Attrs & attrs)`
`QuantizeDownAndShrinkRange(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max, DataType out_type)`
`QuantizedMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input b, ::tensorflow::Input min_a, ::tensorflow::Input max_a, ::tensorflow::Input min_b, ::tensorflow::Input max_b)`
`QuantizedMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input b, ::tensorflow::Input min_a, ::tensorflow::Input max_a, ::tensorflow::Input min_b, ::tensorflow::Input max_b, const QuantizedMatMul::Attrs & attrs)`
`QuantizedMul(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y, ::tensorflow::Input min_x, ::tensorflow::Input max_x, ::tensorflow::Input min_y, ::tensorflow::Input max_y)`
`QuantizedMul(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y, ::tensorflow::Input min_x, ::tensorflow::Input max_x, ::tensorflow::Input min_y, ::tensorflow::Input max_y, const QuantizedMul::Attrs & attrs)`
`Range(const ::tensorflow::Scope & scope, ::tensorflow::Input start, ::tensorflow::Input limit, ::tensorflow::Input delta)`
`Real(const ::tensorflow::Scope & scope, ::tensorflow::Input input)`
`Real(const ::tensorflow::Scope & scope, ::tensorflow::Input input, const Real::Attrs & attrs)`
`RealDiv(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Reciprocal(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`RequantizationRange(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max)`
`Requantize(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max, ::tensorflow::Input requested_output_min, ::tensorflow::Input requested_output_max, DataType out_type)`
`Reverse(bool x)`	`Attrs` Defaults to false.
`Reverse(bool x)`	`Attrs`
`Reverse(bool x)`	`Attrs` Defaults to false.
`Reverse(bool x)`	`Attrs`
`Rint(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Round(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Rsqrt(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`SegmentMax(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids)`
`SegmentMean(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids)`
`SegmentMin(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids)`
`SegmentProd(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids)`
`SegmentSum(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids)`
`Sigmoid(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Sign(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Sin(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`SparseMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input b)`
`SparseMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input b, const SparseMatMul::Attrs & attrs)`
`SparseSegmentMean(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input indices, ::tensorflow::Input segment_ids)`
`SparseSegmentMeanGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input grad, ::tensorflow::Input indices, ::tensorflow::Input segment_ids, ::tensorflow::Input output_dim0)`
`SparseSegmentSqrtN(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input indices, ::tensorflow::Input segment_ids)`
`SparseSegmentSqrtNGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input grad, ::tensorflow::Input indices, ::tensorflow::Input segment_ids, ::tensorflow::Input output_dim0)`
`SparseSegmentSum(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input indices, ::tensorflow::Input segment_ids)`
`Sqrt(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Square(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`SquaredDifference(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Subtract(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`Sum(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis)`
`Sum(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis, const Sum::Attrs & attrs)`
`Tactivation(DataType x)`	`Attrs` The type of output produced by activation function following this operation.
`Tactivation(DataType x)`	`Attrs`
`Tan(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Tanh(const ::tensorflow::Scope & scope, ::tensorflow::Input x)`
`Tolerance(float x)`	`Attrs` Defaults to 1e-05.
`Tolerance(float x)`	`Attrs`
`Tout(DataType x)`	`Attrs` Defaults to DT_COMPLEX64.
`Tout(DataType x)`	`Attrs`
`Tout(DataType x)`	`Attrs` Defaults to DT_FLOAT.
`Tout(DataType x)`	`Attrs`
`Tout(DataType x)`	`Attrs` Defaults to DT_FLOAT.
`Tout(DataType x)`	`Attrs`
`Tout(DataType x)`	`Attrs` Defaults to DT_FLOAT.
`Tout(DataType x)`	`Attrs`
`Toutput(DataType x)`	`Attrs` Defaults to DT_QINT32.
`Toutput(DataType x)`	`Attrs`
`Toutput(DataType x)`	`Attrs` Defaults to DT_QINT32.
`Toutput(DataType x)`	`Attrs`
`TransposeA(bool x)`	`Attrs` If true, "a" is transposed before multiplication.
`TransposeA(bool x)`	`Attrs`
`TransposeA(bool x)`	`Attrs` If true, `a` is transposed before multiplication.
`TransposeA(bool x)`	`Attrs`
`TransposeA(bool x)`	`Attrs` Defaults to false.
`TransposeA(bool x)`	`Attrs`
`TransposeB(bool x)`	`Attrs` If true, "b" is transposed before multiplication.
`TransposeB(bool x)`	`Attrs`
`TransposeB(bool x)`	`Attrs` If true, `b` is transposed before multiplication.
`TransposeB(bool x)`	`Attrs`
`TransposeB(bool x)`	`Attrs` Defaults to false.
`TransposeB(bool x)`	`Attrs`
`TruncateDiv(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`TruncateMod(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)`
`UnsortedSegmentMax(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids, ::tensorflow::Input num_segments)`
`UnsortedSegmentSum(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids, ::tensorflow::Input num_segments)`
`Where3(const ::tensorflow::Scope & scope, ::tensorflow::Input condition, ::tensorflow::Input x, ::tensorflow::Input y)`
`Zeta(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input q)`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`node() const`	`::tensorflow::Node *`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Input() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`
`operator::tensorflow::Output() const`

Classes
tensorflow::ops::Abs	Computes the absolute value of a tensor.
tensorflow::ops::Acos	Computes acos of x element-wise.
tensorflow::ops::Add	Returns x + y element-wise.
tensorflow::ops::AddN	Add all input tensors element wise.
tensorflow::ops::All	Computes the "logical and" of elements across dimensions of a tensor.
tensorflow::ops::Any	Computes the "logical or" of elements across dimensions of a tensor.
tensorflow::ops::ApproximateEqual	Returns the truth value of abs(x-y) < tolerance element-wise.
tensorflow::ops::ArgMax	Returns the index with the largest value across dimensions of a tensor.
tensorflow::ops::ArgMin	Returns the index with the smallest value across dimensions of a tensor.
tensorflow::ops::Asin	Computes asin of x element-wise.
tensorflow::ops::Atan	Computes atan of x element-wise.
tensorflow::ops::Atan2	Computes arctangent of `y/x` element-wise, respecting signs of the arguments.
tensorflow::ops::BatchMatMul	Multiplies slices of two tensors in batches.
tensorflow::ops::Betainc	Compute the regularized incomplete beta integral \(I_x(a, b)\).
tensorflow::ops::Bincount	Counts the number of occurrences of each value in an integer array.
tensorflow::ops::Bucketize	Bucketizes 'input' based on 'boundaries'.
tensorflow::ops::Cast	Cast x of type SrcT to y of DstT.
tensorflow::ops::Ceil	Returns element-wise smallest integer in not less than x.
tensorflow::ops::Complex	Converts two real numbers to a complex number.
tensorflow::ops::ComplexAbs	Computes the complex absolute value of a tensor.
tensorflow::ops::Conj	Returns the complex conjugate of a complex number.
tensorflow::ops::Cos	Computes cos of x element-wise.
tensorflow::ops::Cross	Compute the pairwise cross product.
tensorflow::ops::Cumprod	Compute the cumulative product of the tensor `x` along `axis`.
tensorflow::ops::Cumsum	Compute the cumulative sum of the tensor `x` along `axis`.
tensorflow::ops::Digamma	Computes Psi, the derivative of Lgamma (the log of the absolute value of.
tensorflow::ops::Div	Returns x / y element-wise.
tensorflow::ops::Equal	Returns the truth value of (x == y) element-wise.
tensorflow::ops::Erf	Computes the Gauss error function of `x` element-wise.
tensorflow::ops::Erfc	Computes the complementary error function of `x` element-wise.
tensorflow::ops::Exp	Computes exponential of x element-wise.
tensorflow::ops::Expm1	Computes exponential of x - 1 element-wise.
tensorflow::ops::Floor	Returns element-wise largest integer not greater than x.
tensorflow::ops::FloorDiv	Returns x // y element-wise.
tensorflow::ops::FloorMod	Returns element-wise remainder of division.
tensorflow::ops::Greater	Returns the truth value of (x > y) element-wise.
tensorflow::ops::GreaterEqual	Returns the truth value of (x >= y) element-wise.
tensorflow::ops::Igamma	Compute the lower regularized incomplete Gamma function `Q(a, x)`.
tensorflow::ops::Igammac	Compute the upper regularized incomplete Gamma function `Q(a, x)`.
tensorflow::ops::Imag	Returns the imaginary part of a complex number.
tensorflow::ops::IsFinite	Returns which elements of x are finite.
tensorflow::ops::IsInf	Returns which elements of x are Inf.
tensorflow::ops::IsNan	Returns which elements of x are NaN.
tensorflow::ops::Less	Returns the truth value of (x < y) element-wise.
tensorflow::ops::LessEqual	Returns the truth value of (x <= y) element-wise.
tensorflow::ops::Lgamma	Computes the log of the absolute value of `Gamma(x)` element-wise.
tensorflow::ops::LinSpace	Generates values in an interval.
tensorflow::ops::Log	Computes natural logarithm of x element-wise.
tensorflow::ops::Log1p	Computes natural logarithm of (1 + x) element-wise.
tensorflow::ops::LogicalAnd	Returns the truth value of x AND y element-wise.
tensorflow::ops::LogicalNot	Returns the truth value of NOT x element-wise.
tensorflow::ops::LogicalOr	Returns the truth value of x OR y element-wise.
tensorflow::ops::MatMul	Multiply the matrix "a" by the matrix "b".
tensorflow::ops::Max	Computes the maximum of elements across dimensions of a tensor.
tensorflow::ops::Maximum	Returns the max of x and y (i.e.
tensorflow::ops::Mean	Computes the mean of elements across dimensions of a tensor.
tensorflow::ops::Min	Computes the minimum of elements across dimensions of a tensor.
tensorflow::ops::Minimum	Returns the min of x and y (i.e.
tensorflow::ops::Mod	Returns element-wise remainder of division.
tensorflow::ops::Multiply	Returns x * y element-wise.
tensorflow::ops::Negate	Computes numerical negative value element-wise.
tensorflow::ops::NotEqual	Returns the truth value of (x != y) element-wise.
tensorflow::ops::Polygamma	Compute the polygamma function \(^{(n)}(x)\).
tensorflow::ops::Pow	Computes the power of one value to another.
tensorflow::ops::Prod	Computes the product of elements across dimensions of a tensor.
tensorflow::ops::QuantizeDownAndShrinkRange	Convert the quantized 'input' tensor into a lower-precision 'output', using the.
tensorflow::ops::QuantizedMatMul	Perform a quantized matrix multiplication of `a` by the matrix `b`.
tensorflow::ops::QuantizedMul	Returns x * y element-wise, working on quantized buffers.
tensorflow::ops::Range	Creates a sequence of numbers.
tensorflow::ops::Real	Returns the real part of a complex number.
tensorflow::ops::RealDiv	Returns x / y element-wise for real types.
tensorflow::ops::Reciprocal	Computes the reciprocal of x element-wise.
tensorflow::ops::RequantizationRange	Given a quantized tensor described by (input, input_min, input_max), outputs a.
tensorflow::ops::Requantize	Convert the quantized 'input' tensor into a lower-precision 'output', using the.
tensorflow::ops::Rint	Returns element-wise integer closest to x.
tensorflow::ops::Round	Rounds the values of a tensor to the nearest integer, element-wise.
tensorflow::ops::Rsqrt	Computes reciprocal of square root of x element-wise.
tensorflow::ops::SegmentMax	Computes the maximum along segments of a tensor.
tensorflow::ops::SegmentMean	Computes the mean along segments of a tensor.
tensorflow::ops::SegmentMin	Computes the minimum along segments of a tensor.
tensorflow::ops::SegmentProd	Computes the product along segments of a tensor.
tensorflow::ops::SegmentSum	Computes the sum along segments of a tensor.
tensorflow::ops::Sigmoid	Computes sigmoid of `x` element-wise.
tensorflow::ops::Sign	Returns an element-wise indication of the sign of a number.
tensorflow::ops::Sin	Computes sin of x element-wise.
tensorflow::ops::SparseMatMul	Multiply matrix "a" by matrix "b".
tensorflow::ops::SparseSegmentMean	Computes the mean along sparse segments of a tensor.
tensorflow::ops::SparseSegmentMeanGrad	Computes gradients for SparseSegmentMean.
tensorflow::ops::SparseSegmentSqrtN	Computes the sum along sparse segments of a tensor divided by the sqrt of N.
tensorflow::ops::SparseSegmentSqrtNGrad	Computes gradients for SparseSegmentSqrtN.
tensorflow::ops::SparseSegmentSum	Computes the sum along sparse segments of a tensor.
tensorflow::ops::Sqrt	Computes square root of x element-wise.
tensorflow::ops::Square	Computes square of x element-wise.
tensorflow::ops::SquaredDifference	Returns (x - y)(x - y) element-wise.
tensorflow::ops::Subtract	Returns x - y element-wise.
tensorflow::ops::Sum	Computes the sum of elements across dimensions of a tensor.
tensorflow::ops::Tan	Computes tan of x element-wise.
tensorflow::ops::Tanh	Computes hyperbolic tangent of `x` element-wise.
tensorflow::ops::TruncateDiv	Returns x / y element-wise for integer types.
tensorflow::ops::TruncateMod	Returns element-wise remainder of division.
tensorflow::ops::UnsortedSegmentMax	Computes the Max along segments of a tensor.
tensorflow::ops::UnsortedSegmentSum	Computes the sum along segments of a tensor.
tensorflow::ops::Where3	Selects elements from `x` or `y`, depending on `condition`.
tensorflow::ops::Zeta	Compute the Hurwitz zeta function \((x, q)\).

ReduceSum

Sum ReduceSum

Sub

Subtract Sub

Typedefs

Mul

Multiply Mul

Neg

Negate Neg

ReduceAll

All ReduceAll

ReduceAny

Any ReduceAny

ReduceMax

Max ReduceMax

ReduceMean

Mean ReduceMean

ReduceMin

Min ReduceMin

ReduceProd

Prod ReduceProd

Variables

Tactivation_

DataType Tactivation_ = DT_QUINT8

Tout_

DataType Tout_ = DT_COMPLEX64

Tout_

DataType Tout_ = DT_FLOAT

Tout_

DataType Tout_ = DT_FLOAT

Tout_

DataType Tout_ = DT_FLOAT

Toutput_

DataType Toutput_ = DT_QINT32

Toutput_

DataType Toutput_ = DT_QINT32

a_is_sparse_

bool a_is_sparse_ = false

adj_x_

bool adj_x_ = false

adj_y_

bool adj_y_ = false

b_is_sparse_

bool b_is_sparse_ = false

bins

::tensorflow::Output bins

exclusive_

bool exclusive_ = false

exclusive_

bool exclusive_ = false

keep_dims_

bool keep_dims_ = false

keep_dims_

bool keep_dims_ = false

keep_dims_

bool keep_dims_ = false

keep_dims_

bool keep_dims_ = false

keep_dims_

bool keep_dims_ = false

keep_dims_

bool keep_dims_ = false

keep_dims_

bool keep_dims_ = false

max_out

::tensorflow::Output max_out

max_z

::tensorflow::Output max_z

min_out

::tensorflow::Output min_out

min_z

::tensorflow::Output min_z

out

::tensorflow::Output out

out

::tensorflow::Output out

out

::tensorflow::Output out

out

::tensorflow::Output out

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output

::tensorflow::Output output

output_max

::tensorflow::Output output_max

output_max

::tensorflow::Output output_max

output_max

::tensorflow::Output output_max

output_min

::tensorflow::Output output_min

output_min

::tensorflow::Output output_min

output_min

::tensorflow::Output output_min

product

::tensorflow::Output product

product

::tensorflow::Output product

product

::tensorflow::Output product

reverse_

bool reverse_ = false

reverse_

bool reverse_ = false

sum

::tensorflow::Output sum

tolerance_

float tolerance_ = 1e-05f

transpose_a_

bool transpose_a_ = false

transpose_a_

bool transpose_a_ = false

transpose_a_

bool transpose_a_ = false

transpose_b_

bool transpose_b_ = false

transpose_b_

bool transpose_b_ = false

transpose_b_

bool transpose_b_ = false

y

::tensorflow::Output y

y

::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

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::tensorflow::Output y

z

::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

z

::tensorflow::Output z

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::tensorflow::Output z

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::tensorflow::Output z

z

::tensorflow::Output z

Functions

AIsSparse

Attrs AIsSparse(
  bool x
)

Defaults to false.

AIsSparse

Attrs AIsSparse(
  bool x
)

Abs

 Abs(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

Acos

 Acos(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

Add

 Add(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)

AddN

 AddN(
  const ::tensorflow::Scope & scope,
  ::tensorflow::InputList inputs
)

AdjX

Attrs AdjX(
  bool x
)

If True, adjoint the slices of x.

Defaults to False.

Defaults to false

AdjX

Attrs AdjX(
  bool x
)

AdjY

Attrs AdjY(
  bool x
)

If True, adjoint the slices of y.

Defaults to False.

Defaults to false

AdjY

Attrs AdjY(
  bool x
)

All

 All(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input axis
)

All

 All(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input axis,
  const All::Attrs & attrs
)

Any

 Any(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input axis
)

Any

 Any(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input axis,
  const Any::Attrs & attrs
)

ApproximateEqual

 ApproximateEqual(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)

ApproximateEqual

 ApproximateEqual(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y,
  const ApproximateEqual::Attrs & attrs
)

ArgMax

 ArgMax(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input dimension
)

ArgMin

 ArgMin(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input dimension
)

Asin

 Asin(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

Atan

 Atan(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

Atan2

 Atan2(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input y,
  ::tensorflow::Input x
)

BIsSparse

Attrs BIsSparse(
  bool x
)

Defaults to false.

BIsSparse

Attrs BIsSparse(
  bool x
)

BatchMatMul

 BatchMatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)

BatchMatMul

 BatchMatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y,
  const BatchMatMul::Attrs & attrs
)

Betainc

 Betainc(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a,
  ::tensorflow::Input b,
  ::tensorflow::Input x
)

Bincount

 Bincount(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input arr,
  ::tensorflow::Input size,
  ::tensorflow::Input weights
)

Bucketize

 Bucketize(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  const gtl::ArraySlice< float > & boundaries
)

Cast

 Cast(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  DataType DstT
)

Ceil

 Ceil(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

Complex

 Complex(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input real,
  ::tensorflow::Input imag
)

Complex

 Complex(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input real,
  ::tensorflow::Input imag,
  const Complex::Attrs & attrs
)

ComplexAbs

 ComplexAbs(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

ComplexAbs

 ComplexAbs(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  const ComplexAbs::Attrs & attrs
)

Conj

 Conj(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input
)

Cos

 Cos(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

Cross

 Cross(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a,
  ::tensorflow::Input b
)

Cumprod

 Cumprod(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input axis
)

Cumprod

 Cumprod(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input axis,
  const Cumprod::Attrs & attrs
)

Cumsum

 Cumsum(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input axis
)

Cumsum

 Cumsum(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input axis,
  const Cumsum::Attrs & attrs
)

Digamma

 Digamma(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

Div

 Div(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)

Equal

 Equal(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)

Erf

 Erf(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

Erfc

 Erfc(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

Exclusive

Attrs Exclusive(
  bool x
)

Defaults to false.

Exclusive

Attrs Exclusive(
  bool x
)

Exclusive

Attrs Exclusive(
  bool x
)

Defaults to false.

Exclusive

Attrs Exclusive(
  bool x
)

Exp

 Exp(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

Expm1

 Expm1(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

Floor

 Floor(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

FloorDiv

 FloorDiv(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)

FloorMod

 FloorMod(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)

Greater

 Greater(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)

GreaterEqual

 GreaterEqual(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)

Igamma

 Igamma(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a,
  ::tensorflow::Input x
)

Igammac

 Igammac(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a,
  ::tensorflow::Input x
)

Imag

 Imag(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input
)

Imag

 Imag(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  const Imag::Attrs & attrs
)

IsFinite

 IsFinite(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

IsInf

 IsInf(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)