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
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
max_z
min_out
min_z
out
out
out
out
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output
output_max
output_max
output_max
output_min
output_min
output_min
product
product
product
reverse_ = false
bool
reverse_ = false
bool
sum
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
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
y
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z
z

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)
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)
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 *
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

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::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::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_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

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

y

::tensorflow::Output y

z

::tensorflow::Output z

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

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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

z

::tensorflow::Output z

z

::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
)

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
)

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
)

IsNan

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

KeepDims

Attrs KeepDims(
  bool x
)

If true, retain reduced dimensions with length 1.

Defaults to false

KeepDims

Attrs KeepDims(
  bool x
)

KeepDims

Attrs KeepDims(
  bool x
)

If true, retain reduced dimensions with length 1.

Defaults to false

KeepDims

Attrs KeepDims(
  bool x
)

KeepDims

Attrs KeepDims(
  bool x
)

If true, retain reduced dimensions with length 1.

Defaults to false

KeepDims

Attrs KeepDims(
  bool x
)

KeepDims

Attrs KeepDims(
  bool x
)

If true, retain reduced dimensions with length 1.

Defaults to false

KeepDims

Attrs KeepDims(
  bool x
)

KeepDims

Attrs KeepDims(
  bool x
)

If true, retain reduced dimensions with length 1.

Defaults to false

KeepDims

Attrs KeepDims(
  bool x
)

KeepDims

Attrs KeepDims(
  bool x
)

If true, retain reduced dimensions with length 1.

Defaults to false

KeepDims

Attrs KeepDims(
  bool x
)

KeepDims

Attrs KeepDims(
  bool x
)

If true, retain reduced dimensions with length 1.

Defaults to false

KeepDims

Attrs KeepDims(
  bool x
)

Less

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

LessEqual

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

Lgamma

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

LinSpace

 LinSpace(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input start,
  ::tensorflow::Input stop,
  ::tensorflow::Input num
)

Log

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

Log1p

 Log1p(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x
)

LogicalAnd

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

LogicalNot

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

LogicalOr

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

MatMul

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

MatMul

 MatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a,
  ::tensorflow::Input b,
  const MatMul::Attrs & attrs
)

Max

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

Max

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

Maximum

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

Mean

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

Mean

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

Min

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

Min

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

Minimum

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

Mod

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

Multiply

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

Negate

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

NotEqual

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

Polygamma

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

Pow

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

Prod

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

Prod

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

QuantizeDownAndShrinkRange

 QuantizeDownAndShrinkRange(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input input_min,
  ::tensorflow::Input input_max,
  DataType out_type
)

QuantizedMatMul

 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

 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

 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

 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

 Range(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input start,
  ::tensorflow::Input limit,
  ::tensorflow::Input delta
)

Real

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

Real

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

RealDiv

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

Reciprocal

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

RequantizationRange

 RequantizationRange(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input input_min,
  ::tensorflow::Input input_max
)

Requantize

 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

Attrs Reverse(
  bool x
)

Defaults to false.

Reverse

Attrs Reverse(
  bool x
)

Reverse

Attrs Reverse(
  bool x
)

Defaults to false.

Reverse

Attrs Reverse(
  bool x
)

Rint

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

Round

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

Rsqrt

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

SegmentMax

 SegmentMax(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input segment_ids
)

SegmentMean

 SegmentMean(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input segment_ids
)

SegmentMin

 SegmentMin(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input segment_ids
)

SegmentProd

 SegmentProd(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input segment_ids
)

SegmentSum

 SegmentSum(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input segment_ids
)

Sigmoid

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

Sign

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

Sin

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

SparseMatMul

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

SparseMatMul

 SparseMatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a,
  ::tensorflow::Input b,
  const SparseMatMul::Attrs & attrs
)

SparseSegmentMean

 SparseSegmentMean(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input indices,
  ::tensorflow::Input segment_ids
)

SparseSegmentMeanGrad

 SparseSegmentMeanGrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input grad,
  ::tensorflow::Input indices,
  ::tensorflow::Input segment_ids,
  ::tensorflow::Input output_dim0
)

SparseSegmentSqrtN

 SparseSegmentSqrtN(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input indices,
  ::tensorflow::Input segment_ids
)

SparseSegmentSqrtNGrad

 SparseSegmentSqrtNGrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input grad,
  ::tensorflow::Input indices,
  ::tensorflow::Input segment_ids,
  ::tensorflow::Input output_dim0
)

SparseSegmentSum

 SparseSegmentSum(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input indices,
  ::tensorflow::Input segment_ids
)

Sqrt

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

Square

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

SquaredDifference

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

Subtract

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

Sum

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

Sum

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

Tactivation

Attrs Tactivation(
  DataType x
)

The type of output produced by activation function following this operation.

Defaults to DT_QUINT8

Tactivation

Attrs Tactivation(
  DataType x
)

Tan

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

Tanh

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

Tolerance

Attrs Tolerance(
  float x
)

Defaults to 1e-05.

Tolerance

Attrs Tolerance(
  float x
)

Tout

Attrs Tout(
  DataType x
)

Defaults to DT_COMPLEX64.

Tout

Attrs Tout(
  DataType x
)

Tout

Attrs Tout(
  DataType x
)

Defaults to DT_FLOAT.

Tout

Attrs Tout(
  DataType x
)

Tout

Attrs Tout(
  DataType x
)

Defaults to DT_FLOAT.

Tout

Attrs Tout(
  DataType x
)

Tout

Attrs Tout(
  DataType x
)

Defaults to DT_FLOAT.

Tout

Attrs Tout(
  DataType x
)

Toutput

Attrs Toutput(
  DataType x
)

Defaults to DT_QINT32.

Toutput

Attrs Toutput(
  DataType x
)

Toutput

Attrs Toutput(
  DataType x
)

Defaults to DT_QINT32.

Toutput

Attrs Toutput(
  DataType x
)

TransposeA

Attrs TransposeA(
  bool x
)

If true, "a" is transposed before multiplication.

Defaults to false

TransposeA

Attrs TransposeA(
  bool x
)

TransposeA

Attrs TransposeA(
  bool x
)

If true, a is transposed before multiplication.

Defaults to false

TransposeA

Attrs TransposeA(
  bool x
)

TransposeA

Attrs TransposeA(
  bool x
)

Defaults to false.

TransposeA

Attrs TransposeA(
  bool x
)

TransposeB

Attrs TransposeB(
  bool x
)

If true, "b" is transposed before multiplication.

Defaults to false

TransposeB

Attrs TransposeB(
  bool x
)

TransposeB

Attrs TransposeB(
  bool x
)

If true, b is transposed before multiplication.

Defaults to false

TransposeB

Attrs TransposeB(
  bool x
)

TransposeB

Attrs TransposeB(
  bool x
)

Defaults to false.

TransposeB

Attrs TransposeB(
  bool x
)

TruncateDiv

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

TruncateMod

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

UnsortedSegmentMax

 UnsortedSegmentMax(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input segment_ids,
  ::tensorflow::Input num_segments
)

UnsortedSegmentSum

 UnsortedSegmentSum(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input segment_ids,
  ::tensorflow::Input num_segments
)

Where3

 Where3(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input condition,
  ::tensorflow::Input x,
  ::tensorflow::Input y
)

Zeta

 Zeta(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input x,
  ::tensorflow::Input q
)

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

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operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Input

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operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

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operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const