/TensorFlow C++

# Math Ops

## Summary

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`
`ReduceSum` typedef
`Sum`
`Sub` typedef
`Subtract`
Classes
tensorflow::ops::Abs

Computes the absolute value of a tensor.

tensorflow::ops::AccumulateNV2

Returns the element-wise sum of a list of tensors.

tensorflow::ops::Acos

Computes acos of x element-wise.

tensorflow::ops::Acosh

Computes inverse hyperbolic cosine of x element-wise.

Returns x + y element-wise.

Add all input tensors element wise.

tensorflow::ops::All

Computes the "logical and" of elements across dimensions of a tensor.

tensorflow::ops::Angle

Returns the argument of a complex number.

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::Asinh

Computes inverse hyperbolic sine 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::Atanh

Computes inverse hyperbolic tangent of x element-wise.

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::CompareAndBitpack

Compare values of `input` to `threshold` and pack resulting bits into a `uint8`.

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::Cosh

Computes hyperbolic cosine 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.

Returns x + y element-wise, working on quantized buffers.

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::Sinh

Computes hyperbolic sine 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::SparseSegmentSqrtN

Computes the sum along sparse segments of a tensor divided by the sqrt of N.

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 \((x, q)\).

## 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`

### ReduceSum

`Sum ReduceSum`

### Sub

`Subtract Sub`