Uses of Class
org.bytedeco.javacpp.tensorflow.Scope

Packages that use tensorflow.Scope

Package	Description
org.bytedeco.javacpp

Uses of tensorflow.Scope in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return tensorflow.Scope

Modifier and Type	Method and Description
tensorflow.Scope	tensorflow.Scope.ClearColocation() Clear all colocation constraints.
tensorflow.Scope	tensorflow.Scope.ColocateWith(tensorflow.Operation op) Return a new scope.
tensorflow.Scope	tensorflow.Scope.ColocateWith(tensorflow.Output out) Convenience function for above.
static tensorflow.Scope	tensorflow.Scope.DisabledShapeInferenceScope()
tensorflow.Scope	tensorflow.Scope.ExitOnError() Return a new scope.
static tensorflow.Scope	tensorflow.Scope.NewRootScope() Return a new scope.
tensorflow.Scope	tensorflow.Scope.NewSubScope(BytePointer child_scope_name) Return a new scope.
tensorflow.Scope	tensorflow.Scope.NewSubScope(String child_scope_name)
tensorflow.Scope	tensorflow.Scope.put(tensorflow.Scope other)
tensorflow.Scope	tensorflow.Scope.WithAssignedDevice(BytePointer assigned_device) Returns a new scope.
tensorflow.Scope	tensorflow.Scope.WithAssignedDevice(String assigned_device)
tensorflow.Scope	tensorflow.Scope.WithControlDependencies(tensorflow.Operation control_deps) Return a new scope.
tensorflow.Scope	tensorflow.Scope.WithControlDependencies(tensorflow.Output control_dep) Same as above, but convenient to add control dependency on the operation producing the control_dep output.
tensorflow.Scope	tensorflow.Scope.WithDevice(BytePointer device) Return a new scope.
tensorflow.Scope	tensorflow.Scope.WithDevice(String device)
tensorflow.Scope	tensorflow.Scope.WithKernelLabel(BytePointer kernel_label) Return a new scope.
tensorflow.Scope	tensorflow.Scope.WithKernelLabel(String kernel_label)
tensorflow.Scope	tensorflow.Scope.WithNoControlDependencies() Return a new scope.
tensorflow.Scope	tensorflow.Scope.WithOpName(BytePointer op_name) Return a new scope.
tensorflow.Scope	tensorflow.Scope.WithOpName(String op_name)

Methods in org.bytedeco.javacpp with parameters of type tensorflow.Scope

Modifier and Type	Method and Description
static tensorflow.Status	tensorflow.AddSymbolicGradients(tensorflow.Scope scope, tensorflow.OutputVector outputs, tensorflow.OutputVector inputs, tensorflow.OutputVector grad_outputs)
static tensorflow.Status	tensorflow.AddSymbolicGradients(tensorflow.Scope scope, tensorflow.OutputVector outputs, tensorflow.OutputVector inputs, tensorflow.OutputVector grad_inputs, tensorflow.OutputVector grad_outputs) NOTE: This API is a work in progress and will likely be changing frequently.
static tensorflow.NodeBuilder.NodeOut	tensorflow.AsNodeOut(tensorflow.Scope scope, tensorflow.Input inp)
static tensorflow.NodeOutVector	tensorflow.AsNodeOutList(tensorflow.Scope scope, tensorflow.InputList inp)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, boolean val)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, boolean v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, byte val)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, BytePointer val)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, BytePointer v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, byte v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, double val)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, double v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, float val)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, float v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, int val)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, int v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, long val)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, long v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, short val)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, short v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, String val)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, String v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, tensorflow.Input.Initializer val) \defgroup const_op Const Op \{
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, tensorflow.Tensor val)
static tensorflow.Output	tensorflow.ConstFromProto(tensorflow.Scope scope, tensorflow.TensorProto proto)
tensorflow.Scope	tensorflow.Scope.put(tensorflow.Scope other)

Constructors in org.bytedeco.javacpp with parameters of type tensorflow.Scope

Constructor and Description
Abort(tensorflow.Scope scope)
Abort(tensorflow.Scope scope, tensorflow.Abort.Attrs attrs)
Abs(tensorflow.Scope scope, tensorflow.Input x)
AccumulateNV2(tensorflow.Scope scope, tensorflow.InputList inputs, tensorflow.PartialTensorShape shape)
AccumulatorApplyGradient(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input local_step, tensorflow.Input gradient)
AccumulatorNumAccumulated(tensorflow.Scope scope, tensorflow.Input handle)
AccumulatorSetGlobalStep(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input new_global_step)
AccumulatorTakeGradient(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input num_required, int dtype)
Acos(tensorflow.Scope scope, tensorflow.Input x)
Acosh(tensorflow.Scope scope, tensorflow.Input x)
Add(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
AddManySparseToTensorsMap(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input sparse_values, tensorflow.Input sparse_shape)
AddManySparseToTensorsMap(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input sparse_values, tensorflow.Input sparse_shape, tensorflow.AddManySparseToTensorsMap.Attrs attrs)
AddN(tensorflow.Scope scope, tensorflow.InputList inputs)
AddSparseToTensorsMap(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input sparse_values, tensorflow.Input sparse_shape)
AddSparseToTensorsMap(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input sparse_values, tensorflow.Input sparse_shape, tensorflow.AddSparseToTensorsMap.Attrs attrs)
AddV2(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
AdjustContrast(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input contrast_factor)
AdjustHue(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input delta)
AdjustSaturation(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input scale)
All(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis)
All(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis, tensorflow.All.Attrs attrs)
AllCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique)
AllCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique, tensorflow.AllCandidateSampler.Attrs attrs)
Angle(tensorflow.Scope scope, tensorflow.Input input)
Angle(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Angle.Attrs attrs)
Any(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis)
Any(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis, tensorflow.Any.Attrs attrs)
ApplyAdadelta(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input accum_update, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input epsilon, tensorflow.Input grad)
ApplyAdadelta(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input accum_update, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.ApplyAdadelta.Attrs attrs)
ApplyAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad)
ApplyAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.ApplyAdagrad.Attrs attrs)
ApplyAdagradDA(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input gradient_accumulator, tensorflow.Input gradient_squared_accumulator, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input global_step)
ApplyAdagradDA(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input gradient_accumulator, tensorflow.Input gradient_squared_accumulator, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input global_step, tensorflow.ApplyAdagradDA.Attrs attrs)
ApplyAdam(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input v, tensorflow.Input beta1_power, tensorflow.Input beta2_power, tensorflow.Input lr, tensorflow.Input beta1, tensorflow.Input beta2, tensorflow.Input epsilon, tensorflow.Input grad)
ApplyAdam(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input v, tensorflow.Input beta1_power, tensorflow.Input beta2_power, tensorflow.Input lr, tensorflow.Input beta1, tensorflow.Input beta2, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.ApplyAdam.Attrs attrs)
ApplyAddSign(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input lr, tensorflow.Input alpha, tensorflow.Input sign_decay, tensorflow.Input beta, tensorflow.Input grad)
ApplyAddSign(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input lr, tensorflow.Input alpha, tensorflow.Input sign_decay, tensorflow.Input beta, tensorflow.Input grad, tensorflow.ApplyAddSign.Attrs attrs)
ApplyCenteredRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input mg, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad)
ApplyCenteredRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input mg, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.ApplyCenteredRMSProp.Attrs attrs)
ApplyFtrl(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input lr_power)
ApplyFtrl(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input lr_power, tensorflow.ApplyFtrl.Attrs attrs)
ApplyFtrlV2(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input l2_shrinkage, tensorflow.Input lr_power)
ApplyFtrlV2(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input l2_shrinkage, tensorflow.Input lr_power, tensorflow.ApplyFtrlV2.Attrs attrs)
ApplyGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input delta)
ApplyGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input delta, tensorflow.ApplyGradientDescent.Attrs attrs)
ApplyMomentum(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input momentum)
ApplyMomentum(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input momentum, tensorflow.ApplyMomentum.Attrs attrs)
ApplyPowerSign(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input lr, tensorflow.Input logbase, tensorflow.Input sign_decay, tensorflow.Input beta, tensorflow.Input grad)
ApplyPowerSign(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input lr, tensorflow.Input logbase, tensorflow.Input sign_decay, tensorflow.Input beta, tensorflow.Input grad, tensorflow.ApplyPowerSign.Attrs attrs)
ApplyProximalAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad)
ApplyProximalAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.ApplyProximalAdagrad.Attrs attrs)
ApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input delta)
ApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input delta, tensorflow.ApplyProximalGradientDescent.Attrs attrs)
ApplyRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad)
ApplyRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.ApplyRMSProp.Attrs attrs)
ApproximateEqual(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
ApproximateEqual(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y, tensorflow.ApproximateEqual.Attrs attrs)
ArgMax(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input dimension)
ArgMax(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input dimension, tensorflow.ArgMax.Attrs attrs)
ArgMin(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input dimension)
ArgMin(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input dimension, tensorflow.ArgMin.Attrs attrs)
Asin(tensorflow.Scope scope, tensorflow.Input x)
Asinh(tensorflow.Scope scope, tensorflow.Input x)
Assert(tensorflow.Scope scope, tensorflow.Input condition, tensorflow.InputList data)
Assert(tensorflow.Scope scope, tensorflow.Input condition, tensorflow.InputList data, tensorflow.Assert.Attrs attrs)
Assign(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input value)
Assign(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input value, tensorflow.Assign.Attrs attrs)
AssignAdd(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input value)
AssignAdd(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input value, tensorflow.AssignAdd.Attrs attrs)
AssignSub(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input value)
AssignSub(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input value, tensorflow.AssignSub.Attrs attrs)
AsString(tensorflow.Scope scope, tensorflow.Input input)
AsString(tensorflow.Scope scope, tensorflow.Input input, tensorflow.AsString.Attrs attrs)
Atan(tensorflow.Scope scope, tensorflow.Input x)
Atan2(tensorflow.Scope scope, tensorflow.Input y, tensorflow.Input x)
Atanh(tensorflow.Scope scope, tensorflow.Input x)
AudioSummary(tensorflow.Scope scope, tensorflow.Input tag, tensorflow.Input tensor, tensorflow.Input sample_rate)
AudioSummary(tensorflow.Scope scope, tensorflow.Input tag, tensorflow.Input tensor, tensorflow.Input sample_rate, tensorflow.AudioSummary.Attrs attrs)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, int[] ksize, int[] strides, BytePointer padding)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, int[] ksize, int[] strides, BytePointer padding, tensorflow.AvgPool.Attrs attrs)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, int[] ksize, int[] strides, String padding)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, int[] ksize, int[] strides, String padding, tensorflow.AvgPool.Attrs attrs)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, IntBuffer ksize, IntBuffer strides, BytePointer padding)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, IntBuffer ksize, IntBuffer strides, BytePointer padding, tensorflow.AvgPool.Attrs attrs)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, IntBuffer ksize, IntBuffer strides, String padding)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, IntBuffer ksize, IntBuffer strides, String padding, tensorflow.AvgPool.Attrs attrs)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, IntPointer ksize, IntPointer strides, BytePointer padding)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, IntPointer ksize, IntPointer strides, BytePointer padding, tensorflow.AvgPool.Attrs attrs)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, IntPointer ksize, IntPointer strides, String padding)
AvgPool(tensorflow.Scope scope, tensorflow.Input value, IntPointer ksize, IntPointer strides, String padding, tensorflow.AvgPool.Attrs attrs)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, BytePointer padding)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, BytePointer padding, tensorflow.AvgPool3D.Attrs attrs)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, String padding)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, String padding, tensorflow.AvgPool3D.Attrs attrs)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, BytePointer padding)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, BytePointer padding, tensorflow.AvgPool3D.Attrs attrs)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, String padding)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, String padding, tensorflow.AvgPool3D.Attrs attrs)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, BytePointer padding)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, BytePointer padding, tensorflow.AvgPool3D.Attrs attrs)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, String padding)
AvgPool3D(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, String padding, tensorflow.AvgPool3D.Attrs attrs)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, int[] ksize, int[] strides, BytePointer padding)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, int[] ksize, int[] strides, BytePointer padding, tensorflow.AvgPool3DGrad.Attrs attrs)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, int[] ksize, int[] strides, String padding)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, int[] ksize, int[] strides, String padding, tensorflow.AvgPool3DGrad.Attrs attrs)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, BytePointer padding)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, BytePointer padding, tensorflow.AvgPool3DGrad.Attrs attrs)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, String padding)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, String padding, tensorflow.AvgPool3DGrad.Attrs attrs)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, IntPointer ksize, IntPointer strides, BytePointer padding)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, IntPointer ksize, IntPointer strides, BytePointer padding, tensorflow.AvgPool3DGrad.Attrs attrs)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, IntPointer ksize, IntPointer strides, String padding)
AvgPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input_shape, tensorflow.Input grad, IntPointer ksize, IntPointer strides, String padding, tensorflow.AvgPool3DGrad.Attrs attrs)
Barrier(tensorflow.Scope scope, tensorflow.DataTypeVector component_types)
Barrier(tensorflow.Scope scope, tensorflow.DataTypeVector component_types, tensorflow.Barrier.Attrs attrs)
BarrierClose(tensorflow.Scope scope, tensorflow.Input handle)
BarrierClose(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.BarrierClose.Attrs attrs)
BarrierIncompleteSize(tensorflow.Scope scope, tensorflow.Input handle)
BarrierInsertMany(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input keys, tensorflow.Input values, long component_index)
BarrierReadySize(tensorflow.Scope scope, tensorflow.Input handle)
BarrierTakeMany(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input num_elements, tensorflow.DataTypeVector component_types)
BarrierTakeMany(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input num_elements, tensorflow.DataTypeVector component_types, tensorflow.BarrierTakeMany.Attrs attrs)
BatchMatMul(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
BatchMatMul(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y, tensorflow.BatchMatMul.Attrs attrs)
BatchToSpace(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input crops, long block_size)
BatchToSpaceND(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input block_shape, tensorflow.Input crops)
BesselI0e(tensorflow.Scope scope, tensorflow.Input x)
BesselI1e(tensorflow.Scope scope, tensorflow.Input x)
Betainc(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input b, tensorflow.Input x)
BiasAdd(tensorflow.Scope scope, tensorflow.Input value, tensorflow.Input bias)
BiasAdd(tensorflow.Scope scope, tensorflow.Input value, tensorflow.Input bias, tensorflow.BiasAdd.Attrs attrs)
BiasAddGrad(tensorflow.Scope scope, tensorflow.Input out_backprop)
BiasAddGrad(tensorflow.Scope scope, tensorflow.Input out_backprop, tensorflow.BiasAddGrad.Attrs attrs)
Bincount(tensorflow.Scope scope, tensorflow.Input arr, tensorflow.Input size, tensorflow.Input weights)
Bitcast(tensorflow.Scope scope, tensorflow.Input input, int type)
BroadcastDynamicShape(tensorflow.Scope scope, tensorflow.Input s0, tensorflow.Input s1)
BroadcastTo(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input shape)
Bucketize(tensorflow.Scope scope, tensorflow.Input input, float... boundaries)
Bucketize(tensorflow.Scope scope, tensorflow.Input input, FloatBuffer boundaries)
Bucketize(tensorflow.Scope scope, tensorflow.Input input, FloatPointer boundaries)
CastOp(tensorflow.Scope scope, tensorflow.Input x, int DstT)
CastOp(tensorflow.Scope scope, tensorflow.Input x, int DstT, tensorflow.CastOp.Attrs attrs)
Ceil(tensorflow.Scope scope, tensorflow.Input x)
CheckNumerics(tensorflow.Scope scope, tensorflow.Input tensor, BytePointer message)
CheckNumerics(tensorflow.Scope scope, tensorflow.Input tensor, String message)
Cholesky(tensorflow.Scope scope, tensorflow.Input input)
CholeskyGrad(tensorflow.Scope scope, tensorflow.Input l, tensorflow.Input grad)
ClipByValue(tensorflow.Scope scope, tensorflow.Input t, tensorflow.Input clip_value_min, tensorflow.Input clip_value_max)
CompareAndBitpack(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input threshold)
Complex(tensorflow.Scope scope, tensorflow.Input real, tensorflow.Input imag)
Complex(tensorflow.Scope scope, tensorflow.Input real, tensorflow.Input imag, tensorflow.Complex.Attrs attrs)
ComplexAbs(tensorflow.Scope scope, tensorflow.Input x)
ComplexAbs(tensorflow.Scope scope, tensorflow.Input x, tensorflow.ComplexAbs.Attrs attrs)
ComputeAccidentalHits(tensorflow.Scope scope, tensorflow.Input true_classes, tensorflow.Input sampled_candidates, long num_true)
ComputeAccidentalHits(tensorflow.Scope scope, tensorflow.Input true_classes, tensorflow.Input sampled_candidates, long num_true, tensorflow.ComputeAccidentalHits.Attrs attrs)
Concat(tensorflow.Scope scope, tensorflow.InputList values, tensorflow.Input axis)
ConditionalAccumulator(tensorflow.Scope scope, int dtype, tensorflow.PartialTensorShape shape)
ConditionalAccumulator(tensorflow.Scope scope, int dtype, tensorflow.PartialTensorShape shape, tensorflow.ConditionalAccumulator.Attrs attrs)
Conj(tensorflow.Scope scope, tensorflow.Input input)
ConjugateTranspose(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input perm)
ControlTrigger(tensorflow.Scope scope)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, BytePointer padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, BytePointer padding, tensorflow.Conv2D.Attrs attrs)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, String padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, String padding, tensorflow.Conv2D.Attrs attrs)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, BytePointer padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, BytePointer padding, tensorflow.Conv2D.Attrs attrs)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, String padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, String padding, tensorflow.Conv2D.Attrs attrs)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, BytePointer padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, BytePointer padding, tensorflow.Conv2D.Attrs attrs)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, String padding)
Conv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, String padding, tensorflow.Conv2D.Attrs attrs)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, BytePointer padding)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, BytePointer padding, tensorflow.Conv2DBackpropFilter.Attrs attrs)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, String padding)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, String padding, tensorflow.Conv2DBackpropFilter.Attrs attrs)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding, tensorflow.Conv2DBackpropFilter.Attrs attrs)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, String padding)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, String padding, tensorflow.Conv2DBackpropFilter.Attrs attrs)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding, tensorflow.Conv2DBackpropFilter.Attrs attrs)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, String padding)
Conv2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, String padding, tensorflow.Conv2DBackpropFilter.Attrs attrs)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, BytePointer padding)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, BytePointer padding, tensorflow.Conv2DBackpropInput.Attrs attrs)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, String padding)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, String padding, tensorflow.Conv2DBackpropInput.Attrs attrs)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding, tensorflow.Conv2DBackpropInput.Attrs attrs)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, String padding)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, String padding, tensorflow.Conv2DBackpropInput.Attrs attrs)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding, tensorflow.Conv2DBackpropInput.Attrs attrs)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, String padding)
Conv2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, String padding, tensorflow.Conv2DBackpropInput.Attrs attrs)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, BytePointer padding)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, BytePointer padding, tensorflow.Conv3D.Attrs attrs)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, String padding)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, String padding, tensorflow.Conv3D.Attrs attrs)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, BytePointer padding)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, BytePointer padding, tensorflow.Conv3D.Attrs attrs)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, String padding)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, String padding, tensorflow.Conv3D.Attrs attrs)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, BytePointer padding)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, BytePointer padding, tensorflow.Conv3D.Attrs attrs)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, String padding)
Conv3D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, String padding, tensorflow.Conv3D.Attrs attrs)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, BytePointer padding)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, BytePointer padding, tensorflow.Conv3DBackpropFilterV2.Attrs attrs)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, String padding)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, String padding, tensorflow.Conv3DBackpropFilterV2.Attrs attrs)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding, tensorflow.Conv3DBackpropFilterV2.Attrs attrs)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, String padding)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, String padding, tensorflow.Conv3DBackpropFilterV2.Attrs attrs)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding, tensorflow.Conv3DBackpropFilterV2.Attrs attrs)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, String padding)
Conv3DBackpropFilterV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, String padding, tensorflow.Conv3DBackpropFilterV2.Attrs attrs)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, BytePointer padding)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, BytePointer padding, tensorflow.Conv3DBackpropInputV2.Attrs attrs)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, String padding)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, String padding, tensorflow.Conv3DBackpropInputV2.Attrs attrs)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding, tensorflow.Conv3DBackpropInputV2.Attrs attrs)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, String padding)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, String padding, tensorflow.Conv3DBackpropInputV2.Attrs attrs)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding, tensorflow.Conv3DBackpropInputV2.Attrs attrs)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, String padding)
Conv3DBackpropInputV2(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, String padding, tensorflow.Conv3DBackpropInputV2.Attrs attrs)
Cos(tensorflow.Scope scope, tensorflow.Input x)
Cosh(tensorflow.Scope scope, tensorflow.Input x)
CountUpTo(tensorflow.Scope scope, tensorflow.Input ref, long limit)
CropAndResize(tensorflow.Scope scope, tensorflow.Input image, tensorflow.Input boxes, tensorflow.Input box_ind, tensorflow.Input crop_size)
CropAndResize(tensorflow.Scope scope, tensorflow.Input image, tensorflow.Input boxes, tensorflow.Input box_ind, tensorflow.Input crop_size, tensorflow.CropAndResize.Attrs attrs)
CropAndResizeGradBoxes(tensorflow.Scope scope, tensorflow.Input grads, tensorflow.Input image, tensorflow.Input boxes, tensorflow.Input box_ind)
CropAndResizeGradBoxes(tensorflow.Scope scope, tensorflow.Input grads, tensorflow.Input image, tensorflow.Input boxes, tensorflow.Input box_ind, tensorflow.CropAndResizeGradBoxes.Attrs attrs)
CropAndResizeGradImage(tensorflow.Scope scope, tensorflow.Input grads, tensorflow.Input boxes, tensorflow.Input box_ind, tensorflow.Input image_size, int T)
CropAndResizeGradImage(tensorflow.Scope scope, tensorflow.Input grads, tensorflow.Input boxes, tensorflow.Input box_ind, tensorflow.Input image_size, int T, tensorflow.CropAndResizeGradImage.Attrs attrs)
Cross(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input b)
Cumprod(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input axis)
Cumprod(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input axis, tensorflow.Cumprod.Attrs attrs)
Cumsum(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input axis)
Cumsum(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input axis, tensorflow.Cumsum.Attrs attrs)
DataFormatDimMap(tensorflow.Scope scope, tensorflow.Input x)
DataFormatDimMap(tensorflow.Scope scope, tensorflow.Input x, tensorflow.DataFormatDimMap.Attrs attrs)
DataFormatVecPermute(tensorflow.Scope scope, tensorflow.Input x)
DataFormatVecPermute(tensorflow.Scope scope, tensorflow.Input x, tensorflow.DataFormatVecPermute.Attrs attrs)
DebugGradientIdentity(tensorflow.Scope scope, tensorflow.Input input)
DebugGradientRefIdentity(tensorflow.Scope scope, tensorflow.Input input)
DecodeAndCropJpeg(tensorflow.Scope scope, tensorflow.Input contents, tensorflow.Input crop_window)
DecodeAndCropJpeg(tensorflow.Scope scope, tensorflow.Input contents, tensorflow.Input crop_window, tensorflow.DecodeAndCropJpeg.Attrs attrs)
DecodeBase64(tensorflow.Scope scope, tensorflow.Input input)
DecodeBmp(tensorflow.Scope scope, tensorflow.Input contents)
DecodeBmp(tensorflow.Scope scope, tensorflow.Input contents, tensorflow.DecodeBmp.Attrs attrs)
DecodeCompressed(tensorflow.Scope scope, tensorflow.Input bytes)
DecodeCompressed(tensorflow.Scope scope, tensorflow.Input bytes, tensorflow.DecodeCompressed.Attrs attrs)
DecodeCSV(tensorflow.Scope scope, tensorflow.Input records, tensorflow.InputList record_defaults)
DecodeCSV(tensorflow.Scope scope, tensorflow.Input records, tensorflow.InputList record_defaults, tensorflow.DecodeCSV.Attrs attrs)
DecodeGif(tensorflow.Scope scope, tensorflow.Input contents)
DecodeJpeg(tensorflow.Scope scope, tensorflow.Input contents)
DecodeJpeg(tensorflow.Scope scope, tensorflow.Input contents, tensorflow.DecodeJpeg.Attrs attrs)
DecodeJSONExample(tensorflow.Scope scope, tensorflow.Input json_examples)
DecodePng(tensorflow.Scope scope, tensorflow.Input contents)
DecodePng(tensorflow.Scope scope, tensorflow.Input contents, tensorflow.DecodePng.Attrs attrs)
DecodeRaw(tensorflow.Scope scope, tensorflow.Input bytes, int out_type)
DecodeRaw(tensorflow.Scope scope, tensorflow.Input bytes, int out_type, tensorflow.DecodeRaw.Attrs attrs)
DeepCopy(tensorflow.Scope scope, tensorflow.Input x)
DeleteSessionTensor(tensorflow.Scope scope, tensorflow.Input handle)
DepthToSpace(tensorflow.Scope scope, tensorflow.Input input, long block_size)
DepthToSpace(tensorflow.Scope scope, tensorflow.Input input, long block_size, tensorflow.DepthToSpace.Attrs attrs)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, BytePointer padding)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, BytePointer padding, tensorflow.DepthwiseConv2dNative.Attrs attrs)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, String padding)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, String padding, tensorflow.DepthwiseConv2dNative.Attrs attrs)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, BytePointer padding)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, BytePointer padding, tensorflow.DepthwiseConv2dNative.Attrs attrs)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, String padding)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, String padding, tensorflow.DepthwiseConv2dNative.Attrs attrs)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, BytePointer padding)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, BytePointer padding, tensorflow.DepthwiseConv2dNative.Attrs attrs)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, String padding)
DepthwiseConv2dNative(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, String padding, tensorflow.DepthwiseConv2dNative.Attrs attrs)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, BytePointer padding)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, BytePointer padding, tensorflow.DepthwiseConv2dNativeBackpropFilter.Attrs attrs)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, String padding)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, int[] strides, String padding, tensorflow.DepthwiseConv2dNativeBackpropFilter.Attrs attrs)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding, tensorflow.DepthwiseConv2dNativeBackpropFilter.Attrs attrs)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, String padding)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntBuffer strides, String padding, tensorflow.DepthwiseConv2dNativeBackpropFilter.Attrs attrs)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding, tensorflow.DepthwiseConv2dNativeBackpropFilter.Attrs attrs)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, String padding)
DepthwiseConv2dNativeBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter_sizes, tensorflow.Input out_backprop, IntPointer strides, String padding, tensorflow.DepthwiseConv2dNativeBackpropFilter.Attrs attrs)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, BytePointer padding)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, BytePointer padding, tensorflow.DepthwiseConv2dNativeBackpropInput.Attrs attrs)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, String padding)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, String padding, tensorflow.DepthwiseConv2dNativeBackpropInput.Attrs attrs)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, BytePointer padding, tensorflow.DepthwiseConv2dNativeBackpropInput.Attrs attrs)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, String padding)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, String padding, tensorflow.DepthwiseConv2dNativeBackpropInput.Attrs attrs)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, BytePointer padding, tensorflow.DepthwiseConv2dNativeBackpropInput.Attrs attrs)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, String padding)
DepthwiseConv2dNativeBackpropInput(tensorflow.Scope scope, tensorflow.Input input_sizes, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, String padding, tensorflow.DepthwiseConv2dNativeBackpropInput.Attrs attrs)
Dequantize(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_range, tensorflow.Input max_range)
Dequantize(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_range, tensorflow.Input max_range, tensorflow.Dequantize.Attrs attrs)
DeserializeManySparse(tensorflow.Scope scope, tensorflow.Input serialized_sparse, int dtype)
DeserializeSparse(tensorflow.Scope scope, tensorflow.Input serialized_sparse, int dtype)
DestroyTemporaryVariable(tensorflow.Scope scope, tensorflow.Input ref, BytePointer var_name)
DestroyTemporaryVariable(tensorflow.Scope scope, tensorflow.Input ref, String var_name)
Diag(tensorflow.Scope scope, tensorflow.Input diagonal)
DiagPart(tensorflow.Scope scope, tensorflow.Input input)
Digamma(tensorflow.Scope scope, tensorflow.Input x)
Dilation2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, int[] rates, BytePointer padding)
Dilation2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, int[] strides, int[] rates, String padding)
Dilation2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, IntBuffer rates, BytePointer padding)
Dilation2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntBuffer strides, IntBuffer rates, String padding)
Dilation2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, IntPointer rates, BytePointer padding)
Dilation2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, IntPointer strides, IntPointer rates, String padding)
Dilation2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, int[] rates, BytePointer padding)
Dilation2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, int[] rates, String padding)
Dilation2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, IntBuffer rates, BytePointer padding)
Dilation2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, IntBuffer rates, String padding)
Dilation2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, IntPointer rates, BytePointer padding)
Dilation2DBackpropFilter(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, IntPointer rates, String padding)
Dilation2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, int[] rates, BytePointer padding)
Dilation2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, int[] strides, int[] rates, String padding)
Dilation2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, IntBuffer rates, BytePointer padding)
Dilation2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, IntBuffer strides, IntBuffer rates, String padding)
Dilation2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, IntPointer rates, BytePointer padding)
Dilation2DBackpropInput(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input out_backprop, IntPointer strides, IntPointer rates, String padding)
Div(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
DivNoNan(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
DrawBoundingBoxes(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input boxes)
DynamicPartition(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input partitions, long num_partitions)
DynamicStitch(tensorflow.Scope scope, tensorflow.InputList indices, tensorflow.InputList data)
EditDistance(tensorflow.Scope scope, tensorflow.Input hypothesis_indices, tensorflow.Input hypothesis_values, tensorflow.Input hypothesis_shape, tensorflow.Input truth_indices, tensorflow.Input truth_values, tensorflow.Input truth_shape)
EditDistance(tensorflow.Scope scope, tensorflow.Input hypothesis_indices, tensorflow.Input hypothesis_values, tensorflow.Input hypothesis_shape, tensorflow.Input truth_indices, tensorflow.Input truth_values, tensorflow.Input truth_shape, tensorflow.EditDistance.Attrs attrs)
Elu(tensorflow.Scope scope, tensorflow.Input features)
Empty(tensorflow.Scope scope, tensorflow.Input shape, int dtype)
Empty(tensorflow.Scope scope, tensorflow.Input shape, int dtype, tensorflow.Empty.Attrs attrs)
EncodeBase64(tensorflow.Scope scope, tensorflow.Input input)
EncodeBase64(tensorflow.Scope scope, tensorflow.Input input, tensorflow.EncodeBase64.Attrs attrs)
EncodeJpeg(tensorflow.Scope scope, tensorflow.Input image)
EncodeJpeg(tensorflow.Scope scope, tensorflow.Input image, tensorflow.EncodeJpeg.Attrs attrs)
EncodePng(tensorflow.Scope scope, tensorflow.Input image)
EncodePng(tensorflow.Scope scope, tensorflow.Input image, tensorflow.EncodePng.Attrs attrs)
EnsureShape(tensorflow.Scope scope, tensorflow.Input input, tensorflow.PartialTensorShape shape)
Equal(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
Erf(tensorflow.Scope scope, tensorflow.Input x)
Erfc(tensorflow.Scope scope, tensorflow.Input x)
Exp(tensorflow.Scope scope, tensorflow.Input x)
ExpandDims(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis)
Expm1(tensorflow.Scope scope, tensorflow.Input x)
ExtractGlimpse(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input offsets)
ExtractGlimpse(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input offsets, tensorflow.ExtractGlimpse.Attrs attrs)
ExtractImagePatches(tensorflow.Scope scope, tensorflow.Input images, int[] ksizes, int[] strides, int[] rates, BytePointer padding)
ExtractImagePatches(tensorflow.Scope scope, tensorflow.Input images, int[] ksizes, int[] strides, int[] rates, String padding)
ExtractImagePatches(tensorflow.Scope scope, tensorflow.Input images, IntBuffer ksizes, IntBuffer strides, IntBuffer rates, BytePointer padding)
ExtractImagePatches(tensorflow.Scope scope, tensorflow.Input images, IntBuffer ksizes, IntBuffer strides, IntBuffer rates, String padding)
ExtractImagePatches(tensorflow.Scope scope, tensorflow.Input images, IntPointer ksizes, IntPointer strides, IntPointer rates, BytePointer padding)
ExtractImagePatches(tensorflow.Scope scope, tensorflow.Input images, IntPointer ksizes, IntPointer strides, IntPointer rates, String padding)
ExtractJpegShape(tensorflow.Scope scope, tensorflow.Input contents)
ExtractJpegShape(tensorflow.Scope scope, tensorflow.Input contents, tensorflow.ExtractJpegShape.Attrs attrs)
ExtractVolumePatches(tensorflow.Scope scope, tensorflow.Input input, int[] ksizes, int[] strides, BytePointer padding)
ExtractVolumePatches(tensorflow.Scope scope, tensorflow.Input input, int[] ksizes, int[] strides, String padding)
ExtractVolumePatches(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksizes, IntBuffer strides, BytePointer padding)
ExtractVolumePatches(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksizes, IntBuffer strides, String padding)
ExtractVolumePatches(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksizes, IntPointer strides, BytePointer padding)
ExtractVolumePatches(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksizes, IntPointer strides, String padding)
Fact(tensorflow.Scope scope)
FakeQuantWithMinMaxArgs(tensorflow.Scope scope, tensorflow.Input inputs)
FakeQuantWithMinMaxArgs(tensorflow.Scope scope, tensorflow.Input inputs, tensorflow.FakeQuantWithMinMaxArgs.Attrs attrs)
FakeQuantWithMinMaxArgsGradient(tensorflow.Scope scope, tensorflow.Input gradients, tensorflow.Input inputs)
FakeQuantWithMinMaxArgsGradient(tensorflow.Scope scope, tensorflow.Input gradients, tensorflow.Input inputs, tensorflow.FakeQuantWithMinMaxArgsGradient.Attrs attrs)
FakeQuantWithMinMaxVars(tensorflow.Scope scope, tensorflow.Input inputs, tensorflow.Input min, tensorflow.Input max)
FakeQuantWithMinMaxVars(tensorflow.Scope scope, tensorflow.Input inputs, tensorflow.Input min, tensorflow.Input max, tensorflow.FakeQuantWithMinMaxVars.Attrs attrs)
FakeQuantWithMinMaxVarsGradient(tensorflow.Scope scope, tensorflow.Input gradients, tensorflow.Input inputs, tensorflow.Input min, tensorflow.Input max)
FakeQuantWithMinMaxVarsGradient(tensorflow.Scope scope, tensorflow.Input gradients, tensorflow.Input inputs, tensorflow.Input min, tensorflow.Input max, tensorflow.FakeQuantWithMinMaxVarsGradient.Attrs attrs)
FakeQuantWithMinMaxVarsPerChannel(tensorflow.Scope scope, tensorflow.Input inputs, tensorflow.Input min, tensorflow.Input max)
FakeQuantWithMinMaxVarsPerChannel(tensorflow.Scope scope, tensorflow.Input inputs, tensorflow.Input min, tensorflow.Input max, tensorflow.FakeQuantWithMinMaxVarsPerChannel.Attrs attrs)
FakeQuantWithMinMaxVarsPerChannelGradient(tensorflow.Scope scope, tensorflow.Input gradients, tensorflow.Input inputs, tensorflow.Input min, tensorflow.Input max)
FakeQuantWithMinMaxVarsPerChannelGradient(tensorflow.Scope scope, tensorflow.Input gradients, tensorflow.Input inputs, tensorflow.Input min, tensorflow.Input max, tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs attrs)
FIFOQueue(tensorflow.Scope scope, tensorflow.DataTypeVector component_types)
FIFOQueue(tensorflow.Scope scope, tensorflow.DataTypeVector component_types, tensorflow.FIFOQueue.Attrs attrs)
Fill(tensorflow.Scope scope, tensorflow.Input dims, tensorflow.Input value)
FixedLengthRecordReader(tensorflow.Scope scope, long record_bytes)
FixedLengthRecordReader(tensorflow.Scope scope, long record_bytes, tensorflow.FixedLengthRecordReader.Attrs attrs)
FixedUnigramCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique, long range_max)
FixedUnigramCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique, long range_max, tensorflow.FixedUnigramCandidateSampler.Attrs attrs)
Floor(tensorflow.Scope scope, tensorflow.Input x)
FloorDiv(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
FloorMod(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, float... pooling_ratio)
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, float[] pooling_ratio, tensorflow.FractionalAvgPool.Attrs attrs)
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, FloatBuffer pooling_ratio)
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, FloatBuffer pooling_ratio, tensorflow.FractionalAvgPool.Attrs attrs)
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, FloatPointer pooling_ratio)
FractionalAvgPool(tensorflow.Scope scope, tensorflow.Input value, FloatPointer pooling_ratio, tensorflow.FractionalAvgPool.Attrs attrs)
FractionalMaxPool(tensorflow.Scope scope, tensorflow.Input value, float... pooling_ratio)
FractionalMaxPool(tensorflow.Scope scope, tensorflow.Input value, float[] pooling_ratio, tensorflow.FractionalMaxPool.Attrs attrs)
FractionalMaxPool(tensorflow.Scope scope, tensorflow.Input value, FloatBuffer pooling_ratio)
FractionalMaxPool(tensorflow.Scope scope, tensorflow.Input value, FloatBuffer pooling_ratio, tensorflow.FractionalMaxPool.Attrs attrs)
FractionalMaxPool(tensorflow.Scope scope, tensorflow.Input value, FloatPointer pooling_ratio)
FractionalMaxPool(tensorflow.Scope scope, tensorflow.Input value, FloatPointer pooling_ratio, tensorflow.FractionalMaxPool.Attrs attrs)
FusedBatchNorm(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input offset, tensorflow.Input mean, tensorflow.Input variance)
FusedBatchNorm(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input offset, tensorflow.Input mean, tensorflow.Input variance, tensorflow.FusedBatchNorm.Attrs attrs)
FusedBatchNormGrad(tensorflow.Scope scope, tensorflow.Input y_backprop, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input reserve_space_1, tensorflow.Input reserve_space_2)
FusedBatchNormGrad(tensorflow.Scope scope, tensorflow.Input y_backprop, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input reserve_space_1, tensorflow.Input reserve_space_2, tensorflow.FusedBatchNormGrad.Attrs attrs)
FusedBatchNormGradV2(tensorflow.Scope scope, tensorflow.Input y_backprop, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input reserve_space_1, tensorflow.Input reserve_space_2)
FusedBatchNormGradV2(tensorflow.Scope scope, tensorflow.Input y_backprop, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input reserve_space_1, tensorflow.Input reserve_space_2, tensorflow.FusedBatchNormGradV2.Attrs attrs)
FusedBatchNormV2(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input offset, tensorflow.Input mean, tensorflow.Input variance)
FusedBatchNormV2(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input offset, tensorflow.Input mean, tensorflow.Input variance, tensorflow.FusedBatchNormV2.Attrs attrs)
FusedPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, tensorflow.Input filter, BytePointer mode, int[] strides, BytePointer padding)
FusedPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, tensorflow.Input filter, BytePointer mode, IntBuffer strides, BytePointer padding)
FusedPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, tensorflow.Input filter, BytePointer mode, IntPointer strides, BytePointer padding)
FusedPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, tensorflow.Input filter, String mode, int[] strides, String padding)
FusedPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, tensorflow.Input filter, String mode, IntBuffer strides, String padding)
FusedPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, tensorflow.Input filter, String mode, IntPointer strides, String padding)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, BytePointer mode, int[] strides, BytePointer padding)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, BytePointer mode, int[] strides, BytePointer padding, tensorflow.FusedResizeAndPadConv2D.Attrs attrs)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, BytePointer mode, IntBuffer strides, BytePointer padding)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, BytePointer mode, IntBuffer strides, BytePointer padding, tensorflow.FusedResizeAndPadConv2D.Attrs attrs)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, BytePointer mode, IntPointer strides, BytePointer padding)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, BytePointer mode, IntPointer strides, BytePointer padding, tensorflow.FusedResizeAndPadConv2D.Attrs attrs)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, String mode, int[] strides, String padding)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, String mode, int[] strides, String padding, tensorflow.FusedResizeAndPadConv2D.Attrs attrs)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, String mode, IntBuffer strides, String padding)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, String mode, IntBuffer strides, String padding, tensorflow.FusedResizeAndPadConv2D.Attrs attrs)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, String mode, IntPointer strides, String padding)
FusedResizeAndPadConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input size, tensorflow.Input paddings, tensorflow.Input filter, String mode, IntPointer strides, String padding, tensorflow.FusedResizeAndPadConv2D.Attrs attrs)
Gather(tensorflow.Scope scope, tensorflow.Input params, tensorflow.Input indices)
Gather(tensorflow.Scope scope, tensorflow.Input params, tensorflow.Input indices, tensorflow.Gather.Attrs attrs)
GatherNd(tensorflow.Scope scope, tensorflow.Input params, tensorflow.Input indices)
GatherV2(tensorflow.Scope scope, tensorflow.Input params, tensorflow.Input indices, tensorflow.Input axis)
GetSessionHandle(tensorflow.Scope scope, tensorflow.Input value)
GetSessionHandleV2(tensorflow.Scope scope, tensorflow.Input value)
GetSessionTensor(tensorflow.Scope scope, tensorflow.Input handle, int dtype)
Greater(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
GreaterEqual(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
GuaranteeConst(tensorflow.Scope scope, tensorflow.Input input)
HistogramFixedWidth(tensorflow.Scope scope, tensorflow.Input values, tensorflow.Input value_range, tensorflow.Input nbins)
HistogramFixedWidth(tensorflow.Scope scope, tensorflow.Input values, tensorflow.Input value_range, tensorflow.Input nbins, tensorflow.HistogramFixedWidth.Attrs attrs)
HistogramSummary(tensorflow.Scope scope, tensorflow.Input tag, tensorflow.Input values)
HSVToRGB(tensorflow.Scope scope, tensorflow.Input images)
Identity(tensorflow.Scope scope, tensorflow.Input input)
IdentityN(tensorflow.Scope scope, tensorflow.InputList input)
IdentityReader(tensorflow.Scope scope)
IdentityReader(tensorflow.Scope scope, tensorflow.IdentityReader.Attrs attrs)
Igamma(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input x)
Igammac(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input x)
Imag(tensorflow.Scope scope, tensorflow.Input input)
Imag(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Imag.Attrs attrs)
ImageSummary(tensorflow.Scope scope, tensorflow.Input tag, tensorflow.Input tensor)
ImageSummary(tensorflow.Scope scope, tensorflow.Input tag, tensorflow.Input tensor, tensorflow.ImageSummary.Attrs attrs)
ImmutableConst(tensorflow.Scope scope, int dtype, tensorflow.PartialTensorShape shape, BytePointer memory_region_name)
ImmutableConst(tensorflow.Scope scope, int dtype, tensorflow.PartialTensorShape shape, String memory_region_name)
InplaceAdd(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input i, tensorflow.Input v)
InplaceSub(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input i, tensorflow.Input v)
InplaceUpdate(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input i, tensorflow.Input v)
InTopK(tensorflow.Scope scope, tensorflow.Input predictions, tensorflow.Input targets, long k)
InTopKV2(tensorflow.Scope scope, tensorflow.Input predictions, tensorflow.Input targets, tensorflow.Input k)
Inv(tensorflow.Scope scope, tensorflow.Input x)
InvertPermutation(tensorflow.Scope scope, tensorflow.Input x)
IsFinite(tensorflow.Scope scope, tensorflow.Input x)
IsInf(tensorflow.Scope scope, tensorflow.Input x)
IsNan(tensorflow.Scope scope, tensorflow.Input x)
IsVariableInitialized(tensorflow.Scope scope, tensorflow.Input ref)
L2Loss(tensorflow.Scope scope, tensorflow.Input t)
LearnedUnigramCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique, long range_max)
LearnedUnigramCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique, long range_max, tensorflow.LearnedUnigramCandidateSampler.Attrs attrs)
Less(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
LessEqual(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
Lgamma(tensorflow.Scope scope, tensorflow.Input x)
LinSpace(tensorflow.Scope scope, tensorflow.Input start, tensorflow.Input stop, tensorflow.Input num)
LMDBReader(tensorflow.Scope scope)
LMDBReader(tensorflow.Scope scope, tensorflow.LMDBReader.Attrs attrs)
Log(tensorflow.Scope scope, tensorflow.Input x)
Log1p(tensorflow.Scope scope, tensorflow.Input x)
LogicalAnd(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
LogicalNot(tensorflow.Scope scope, tensorflow.Input x)
LogicalOr(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
LogMatrixDeterminant(tensorflow.Scope scope, tensorflow.Input input)
LogSoftmax(tensorflow.Scope scope, tensorflow.Input logits)
LogUniformCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique, long range_max)
LogUniformCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique, long range_max, tensorflow.LogUniformCandidateSampler.Attrs attrs)
LoopCond(tensorflow.Scope scope, tensorflow.Input input)
LRN(tensorflow.Scope scope, tensorflow.Input input)
LRN(tensorflow.Scope scope, tensorflow.Input input, tensorflow.LRN.Attrs attrs)
MapClear(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes)
MapClear(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes, tensorflow.MapClear.Attrs attrs)
MapIncompleteSize(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes)
MapIncompleteSize(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes, tensorflow.MapIncompleteSize.Attrs attrs)
MapPeek(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.DataTypeVector dtypes)
MapPeek(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.DataTypeVector dtypes, tensorflow.MapPeek.Attrs attrs)
MapSize(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes)
MapSize(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes, tensorflow.MapSize.Attrs attrs)
MapStage(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.InputList values, tensorflow.DataTypeVector dtypes)
MapStage(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.InputList values, tensorflow.DataTypeVector dtypes, tensorflow.MapStage.Attrs attrs)
MapUnstage(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.DataTypeVector dtypes)
MapUnstage(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.DataTypeVector dtypes, tensorflow.MapUnstage.Attrs attrs)
MapUnstageNoKey(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.DataTypeVector dtypes)
MapUnstageNoKey(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.DataTypeVector dtypes, tensorflow.MapUnstageNoKey.Attrs attrs)
MatchingFiles(tensorflow.Scope scope, tensorflow.Input pattern)
MatMul(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input b)
MatMul(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input b, tensorflow.MatMul.Attrs attrs)
MatrixBandPart(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input num_lower, tensorflow.Input num_upper)
MatrixDeterminant(tensorflow.Scope scope, tensorflow.Input input)
MatrixDiag(tensorflow.Scope scope, tensorflow.Input diagonal)
MatrixDiagPart(tensorflow.Scope scope, tensorflow.Input input)
MatrixInverse(tensorflow.Scope scope, tensorflow.Input input)
MatrixInverse(tensorflow.Scope scope, tensorflow.Input input, tensorflow.MatrixInverse.Attrs attrs)
MatrixSetDiag(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input diagonal)
MatrixSolve(tensorflow.Scope scope, tensorflow.Input matrix, tensorflow.Input rhs)
MatrixSolve(tensorflow.Scope scope, tensorflow.Input matrix, tensorflow.Input rhs, tensorflow.MatrixSolve.Attrs attrs)
MatrixSolveLs(tensorflow.Scope scope, tensorflow.Input matrix, tensorflow.Input rhs, tensorflow.Input l2_regularizer)
MatrixSolveLs(tensorflow.Scope scope, tensorflow.Input matrix, tensorflow.Input rhs, tensorflow.Input l2_regularizer, tensorflow.MatrixSolveLs.Attrs attrs)
MatrixTriangularSolve(tensorflow.Scope scope, tensorflow.Input matrix, tensorflow.Input rhs)
MatrixTriangularSolve(tensorflow.Scope scope, tensorflow.Input matrix, tensorflow.Input rhs, tensorflow.MatrixTriangularSolve.Attrs attrs)
Max(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis)
Max(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis, tensorflow.Max.Attrs attrs)
Maximum(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, BytePointer padding)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, BytePointer padding, tensorflow.MaxPool.Attrs attrs)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, String padding)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, String padding, tensorflow.MaxPool.Attrs attrs)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, BytePointer padding)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, BytePointer padding, tensorflow.MaxPool.Attrs attrs)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, String padding)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, String padding, tensorflow.MaxPool.Attrs attrs)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, BytePointer padding)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, BytePointer padding, tensorflow.MaxPool.Attrs attrs)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, String padding)
MaxPool(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, String padding, tensorflow.MaxPool.Attrs attrs)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, BytePointer padding)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, BytePointer padding, tensorflow.MaxPool3D.Attrs attrs)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, String padding)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, String padding, tensorflow.MaxPool3D.Attrs attrs)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, BytePointer padding)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, BytePointer padding, tensorflow.MaxPool3D.Attrs attrs)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, String padding)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, String padding, tensorflow.MaxPool3D.Attrs attrs)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, BytePointer padding)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, BytePointer padding, tensorflow.MaxPool3D.Attrs attrs)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, String padding)
MaxPool3D(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, String padding, tensorflow.MaxPool3D.Attrs attrs)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, BytePointer padding)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, BytePointer padding, tensorflow.MaxPool3DGrad.Attrs attrs)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, String padding)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, String padding, tensorflow.MaxPool3DGrad.Attrs attrs)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, BytePointer padding)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, BytePointer padding, tensorflow.MaxPool3DGrad.Attrs attrs)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, String padding)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, String padding, tensorflow.MaxPool3DGrad.Attrs attrs)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, BytePointer padding)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, BytePointer padding, tensorflow.MaxPool3DGrad.Attrs attrs)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, String padding)
MaxPool3DGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, String padding, tensorflow.MaxPool3DGrad.Attrs attrs)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, BytePointer padding)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, BytePointer padding, tensorflow.MaxPool3DGradGrad.Attrs attrs)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, String padding)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, String padding, tensorflow.MaxPool3DGradGrad.Attrs attrs)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, BytePointer padding)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, BytePointer padding, tensorflow.MaxPool3DGradGrad.Attrs attrs)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, String padding)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, String padding, tensorflow.MaxPool3DGradGrad.Attrs attrs)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, BytePointer padding)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, BytePointer padding, tensorflow.MaxPool3DGradGrad.Attrs attrs)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, String padding)
MaxPool3DGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, String padding, tensorflow.MaxPool3DGradGrad.Attrs attrs)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, BytePointer padding)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, BytePointer padding, tensorflow.MaxPoolGradGrad.Attrs attrs)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, String padding)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, int[] ksize, int[] strides, String padding, tensorflow.MaxPoolGradGrad.Attrs attrs)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, BytePointer padding)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, BytePointer padding, tensorflow.MaxPoolGradGrad.Attrs attrs)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, String padding)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntBuffer ksize, IntBuffer strides, String padding, tensorflow.MaxPoolGradGrad.Attrs attrs)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, BytePointer padding)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, BytePointer padding, tensorflow.MaxPoolGradGrad.Attrs attrs)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, String padding)
MaxPoolGradGrad(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, IntPointer ksize, IntPointer strides, String padding, tensorflow.MaxPoolGradGrad.Attrs attrs)
MaxPoolGradGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, BytePointer padding)
MaxPoolGradGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, BytePointer padding, tensorflow.MaxPoolGradGradV2.Attrs attrs)
MaxPoolGradGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, String padding)
MaxPoolGradGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, String padding, tensorflow.MaxPoolGradGradV2.Attrs attrs)
MaxPoolGradGradWithArgmax(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input grad, tensorflow.Input argmax, int[] ksize, int[] strides, BytePointer padding)
MaxPoolGradGradWithArgmax(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input grad, tensorflow.Input argmax, int[] ksize, int[] strides, String padding)
MaxPoolGradGradWithArgmax(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input grad, tensorflow.Input argmax, IntBuffer ksize, IntBuffer strides, BytePointer padding)
MaxPoolGradGradWithArgmax(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input grad, tensorflow.Input argmax, IntBuffer ksize, IntBuffer strides, String padding)
MaxPoolGradGradWithArgmax(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input grad, tensorflow.Input argmax, IntPointer ksize, IntPointer strides, BytePointer padding)
MaxPoolGradGradWithArgmax(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input grad, tensorflow.Input argmax, IntPointer ksize, IntPointer strides, String padding)
MaxPoolGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, BytePointer padding)
MaxPoolGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, BytePointer padding, tensorflow.MaxPoolGradV2.Attrs attrs)
MaxPoolGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, String padding)
MaxPoolGradV2(tensorflow.Scope scope, tensorflow.Input orig_input, tensorflow.Input orig_output, tensorflow.Input grad, tensorflow.Input ksize, tensorflow.Input strides, String padding, tensorflow.MaxPoolGradV2.Attrs attrs)
MaxPoolV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input ksize, tensorflow.Input strides, BytePointer padding)
MaxPoolV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input ksize, tensorflow.Input strides, BytePointer padding, tensorflow.MaxPoolV2.Attrs attrs)
MaxPoolV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input ksize, tensorflow.Input strides, String padding)
MaxPoolV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input ksize, tensorflow.Input strides, String padding, tensorflow.MaxPoolV2.Attrs attrs)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, BytePointer padding)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, BytePointer padding, tensorflow.MaxPoolWithArgmax.Attrs attrs)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, String padding)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, int[] ksize, int[] strides, String padding, tensorflow.MaxPoolWithArgmax.Attrs attrs)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, BytePointer padding)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, BytePointer padding, tensorflow.MaxPoolWithArgmax.Attrs attrs)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, String padding)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, IntBuffer ksize, IntBuffer strides, String padding, tensorflow.MaxPoolWithArgmax.Attrs attrs)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, BytePointer padding)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, BytePointer padding, tensorflow.MaxPoolWithArgmax.Attrs attrs)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, String padding)
MaxPoolWithArgmax(tensorflow.Scope scope, tensorflow.Input input, IntPointer ksize, IntPointer strides, String padding, tensorflow.MaxPoolWithArgmax.Attrs attrs)
Mean(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis)
Mean(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis, tensorflow.Mean.Attrs attrs)
Merge(tensorflow.Scope scope, tensorflow.InputList inputs)
MergeSummary(tensorflow.Scope scope, tensorflow.InputList inputs)
MergeV2Checkpoints(tensorflow.Scope scope, tensorflow.Input checkpoint_prefixes, tensorflow.Input destination_prefix)
MergeV2Checkpoints(tensorflow.Scope scope, tensorflow.Input checkpoint_prefixes, tensorflow.Input destination_prefix, tensorflow.MergeV2Checkpoints.Attrs attrs)
Min(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis)
Min(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis, tensorflow.Min.Attrs attrs)
Minimum(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
MirrorPad(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, BytePointer mode)
MirrorPad(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, String mode)
Mod(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
Multinomial(tensorflow.Scope scope, tensorflow.Input logits, tensorflow.Input num_samples)
Multinomial(tensorflow.Scope scope, tensorflow.Input logits, tensorflow.Input num_samples, tensorflow.Multinomial.Attrs attrs)
Multiply(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
Negate(tensorflow.Scope scope, tensorflow.Input x)
NextIteration(tensorflow.Scope scope, tensorflow.Input data)
NonMaxSuppression(tensorflow.Scope scope, tensorflow.Input boxes, tensorflow.Input scores, tensorflow.Input max_output_size)
NonMaxSuppression(tensorflow.Scope scope, tensorflow.Input boxes, tensorflow.Input scores, tensorflow.Input max_output_size, tensorflow.NonMaxSuppression.Attrs attrs)
NonMaxSuppressionV2(tensorflow.Scope scope, tensorflow.Input boxes, tensorflow.Input scores, tensorflow.Input max_output_size, tensorflow.Input iou_threshold)
NonMaxSuppressionV3(tensorflow.Scope scope, tensorflow.Input boxes, tensorflow.Input scores, tensorflow.Input max_output_size, tensorflow.Input iou_threshold, tensorflow.Input score_threshold)
NonMaxSuppressionV4(tensorflow.Scope scope, tensorflow.Input boxes, tensorflow.Input scores, tensorflow.Input max_output_size, tensorflow.Input iou_threshold, tensorflow.Input score_threshold)
NonMaxSuppressionV4(tensorflow.Scope scope, tensorflow.Input boxes, tensorflow.Input scores, tensorflow.Input max_output_size, tensorflow.Input iou_threshold, tensorflow.Input score_threshold, tensorflow.NonMaxSuppressionV4.Attrs attrs)
NonMaxSuppressionWithOverlaps(tensorflow.Scope scope, tensorflow.Input overlaps, tensorflow.Input scores, tensorflow.Input max_output_size, tensorflow.Input overlap_threshold, tensorflow.Input score_threshold)
NoOp(tensorflow.Scope scope)
NotEqual(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
NthElement(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input n)
NthElement(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input n, tensorflow.NthElement.Attrs attrs)
OneHot(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.Input depth, tensorflow.Input on_value, tensorflow.Input off_value)
OneHot(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.Input depth, tensorflow.Input on_value, tensorflow.Input off_value, tensorflow.OneHot.Attrs attrs)
OnesLike(tensorflow.Scope scope, tensorflow.Input x)
OrderedMapClear(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes)
OrderedMapClear(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes, tensorflow.OrderedMapClear.Attrs attrs)
OrderedMapIncompleteSize(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes)
OrderedMapIncompleteSize(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes, tensorflow.OrderedMapIncompleteSize.Attrs attrs)
OrderedMapPeek(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.DataTypeVector dtypes)
OrderedMapPeek(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.DataTypeVector dtypes, tensorflow.OrderedMapPeek.Attrs attrs)
OrderedMapSize(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes)
OrderedMapSize(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes, tensorflow.OrderedMapSize.Attrs attrs)
OrderedMapStage(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.InputList values, tensorflow.DataTypeVector dtypes)
OrderedMapStage(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.InputList values, tensorflow.DataTypeVector dtypes, tensorflow.OrderedMapStage.Attrs attrs)
OrderedMapUnstage(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.DataTypeVector dtypes)
OrderedMapUnstage(tensorflow.Scope scope, tensorflow.Input key, tensorflow.Input indices, tensorflow.DataTypeVector dtypes, tensorflow.OrderedMapUnstage.Attrs attrs)
OrderedMapUnstageNoKey(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.DataTypeVector dtypes)
OrderedMapUnstageNoKey(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.DataTypeVector dtypes, tensorflow.OrderedMapUnstageNoKey.Attrs attrs)
Pad(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings)
PaddingFIFOQueue(tensorflow.Scope scope, tensorflow.DataTypeVector component_types)
PaddingFIFOQueue(tensorflow.Scope scope, tensorflow.DataTypeVector component_types, tensorflow.PaddingFIFOQueue.Attrs attrs)
PadV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, tensorflow.Input constant_values)
ParallelConcat(tensorflow.Scope scope, tensorflow.InputList values, tensorflow.PartialTensorShape shape)
ParallelDynamicStitch(tensorflow.Scope scope, tensorflow.InputList indices, tensorflow.InputList data)
ParameterizedTruncatedNormal(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input means, tensorflow.Input stdevs, tensorflow.Input minvals, tensorflow.Input maxvals)
ParameterizedTruncatedNormal(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input means, tensorflow.Input stdevs, tensorflow.Input minvals, tensorflow.Input maxvals, tensorflow.ParameterizedTruncatedNormal.Attrs attrs)
ParseExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.Input names, tensorflow.InputList sparse_keys, tensorflow.InputList dense_keys, tensorflow.InputList dense_defaults, tensorflow.DataTypeVector sparse_types, tensorflow.PartialTensorShape dense_shapes)
ParseSequenceExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.Input debug_name, tensorflow.InputList context_dense_defaults, tensorflow.StringVector feature_list_dense_missing_assumed_empty, tensorflow.StringVector context_sparse_keys, tensorflow.StringVector context_dense_keys, tensorflow.StringVector feature_list_sparse_keys, tensorflow.StringVector feature_list_dense_keys)
ParseSequenceExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.Input debug_name, tensorflow.InputList context_dense_defaults, tensorflow.StringVector feature_list_dense_missing_assumed_empty, tensorflow.StringVector context_sparse_keys, tensorflow.StringVector context_dense_keys, tensorflow.StringVector feature_list_sparse_keys, tensorflow.StringVector feature_list_dense_keys, tensorflow.ParseSequenceExample.Attrs attrs)
ParseSingleExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.InputList dense_defaults, long num_sparse, tensorflow.StringVector sparse_keys, tensorflow.StringVector dense_keys, tensorflow.DataTypeVector sparse_types, tensorflow.PartialTensorShape dense_shapes)
ParseSingleSequenceExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.Input feature_list_dense_missing_assumed_empty, tensorflow.InputList context_sparse_keys, tensorflow.InputList context_dense_keys, tensorflow.InputList feature_list_sparse_keys, tensorflow.InputList feature_list_dense_keys, tensorflow.InputList context_dense_defaults, tensorflow.Input debug_name)
ParseSingleSequenceExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.Input feature_list_dense_missing_assumed_empty, tensorflow.InputList context_sparse_keys, tensorflow.InputList context_dense_keys, tensorflow.InputList feature_list_sparse_keys, tensorflow.InputList feature_list_dense_keys, tensorflow.InputList context_dense_defaults, tensorflow.Input debug_name, tensorflow.ParseSingleSequenceExample.Attrs attrs)
ParseTensor(tensorflow.Scope scope, tensorflow.Input serialized, int out_type)
Placeholder(tensorflow.Scope scope, int dtype)
Placeholder(tensorflow.Scope scope, int dtype, tensorflow.Placeholder.Attrs attrs)
PlaceholderWithDefault(tensorflow.Scope scope, tensorflow.Input input, tensorflow.PartialTensorShape shape)
Polygamma(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input x)
Pow(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
PreventGradient(tensorflow.Scope scope, tensorflow.Input input)
PreventGradient(tensorflow.Scope scope, tensorflow.Input input, tensorflow.PreventGradient.Attrs attrs)
Print(tensorflow.Scope scope, tensorflow.Input input, tensorflow.InputList data)
Print(tensorflow.Scope scope, tensorflow.Input input, tensorflow.InputList data, tensorflow.Print.Attrs attrs)
PrintV2(tensorflow.Scope scope, tensorflow.Input input)
PrintV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.PrintV2.Attrs attrs)
PriorityQueue(tensorflow.Scope scope, tensorflow.PartialTensorShape shapes)
PriorityQueue(tensorflow.Scope scope, tensorflow.PartialTensorShape shapes, tensorflow.PriorityQueue.Attrs attrs)
Prod(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis)
Prod(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis, tensorflow.Prod.Attrs attrs)
Qr(tensorflow.Scope scope, tensorflow.Input input)
Qr(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Qr.Attrs attrs)
QuantizeAndDequantizeV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input input_min, tensorflow.Input input_max)
QuantizeAndDequantizeV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input input_min, tensorflow.Input input_max, tensorflow.QuantizeAndDequantizeV2.Attrs attrs)
QuantizeAndDequantizeV3(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input input_min, tensorflow.Input input_max, tensorflow.Input num_bits)
QuantizeAndDequantizeV3(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input input_min, tensorflow.Input input_max, tensorflow.Input num_bits, tensorflow.QuantizeAndDequantizeV3.Attrs attrs)
QuantizedAdd(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)
QuantizedAdd(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, tensorflow.QuantizedAdd.Attrs attrs)
QuantizedAvgPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, int[] ksize, int[] strides, BytePointer padding)
QuantizedAvgPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, int[] ksize, int[] strides, String padding)
QuantizedAvgPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, IntBuffer ksize, IntBuffer strides, BytePointer padding)
QuantizedAvgPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, IntBuffer ksize, IntBuffer strides, String padding)
QuantizedAvgPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, IntPointer ksize, IntPointer strides, BytePointer padding)
QuantizedAvgPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, IntPointer ksize, IntPointer strides, String padding)
QuantizedBatchNormWithGlobalNormalization(tensorflow.Scope scope, tensorflow.Input t, tensorflow.Input t_min, tensorflow.Input t_max, tensorflow.Input m, tensorflow.Input m_min, tensorflow.Input m_max, tensorflow.Input v, tensorflow.Input v_min, tensorflow.Input v_max, tensorflow.Input beta, tensorflow.Input beta_min, tensorflow.Input beta_max, tensorflow.Input gamma, tensorflow.Input gamma_min, tensorflow.Input gamma_max, int out_type, float variance_epsilon, boolean scale_after_normalization)
QuantizedBiasAdd(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input bias, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_bias, tensorflow.Input max_bias, int out_type)
QuantizedConcat(tensorflow.Scope scope, tensorflow.Input concat_dim, tensorflow.InputList values, tensorflow.InputList input_mins, tensorflow.InputList input_maxes)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, int[] strides, BytePointer padding)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, int[] strides, BytePointer padding, tensorflow.QuantizedConv2D.Attrs attrs)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, int[] strides, String padding)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, int[] strides, String padding, tensorflow.QuantizedConv2D.Attrs attrs)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, IntBuffer strides, BytePointer padding)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, IntBuffer strides, BytePointer padding, tensorflow.QuantizedConv2D.Attrs attrs)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, IntBuffer strides, String padding)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, IntBuffer strides, String padding, tensorflow.QuantizedConv2D.Attrs attrs)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, IntPointer strides, BytePointer padding)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, IntPointer strides, BytePointer padding, tensorflow.QuantizedConv2D.Attrs attrs)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, IntPointer strides, String padding)
QuantizedConv2D(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input filter, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_filter, tensorflow.Input max_filter, IntPointer strides, String padding, tensorflow.QuantizedConv2D.Attrs attrs)
QuantizedInstanceNorm(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input x_min, tensorflow.Input x_max)
QuantizedInstanceNorm(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input x_min, tensorflow.Input x_max, tensorflow.QuantizedInstanceNorm.Attrs attrs)
QuantizedMatMul(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(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, tensorflow.QuantizedMatMul.Attrs attrs)
QuantizedMaxPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, int[] ksize, int[] strides, BytePointer padding)
QuantizedMaxPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, int[] ksize, int[] strides, String padding)
QuantizedMaxPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, IntBuffer ksize, IntBuffer strides, BytePointer padding)
QuantizedMaxPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, IntBuffer ksize, IntBuffer strides, String padding)
QuantizedMaxPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, IntPointer ksize, IntPointer strides, BytePointer padding)
QuantizedMaxPool(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_input, tensorflow.Input max_input, IntPointer ksize, IntPointer strides, String padding)
QuantizedMul(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(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, tensorflow.QuantizedMul.Attrs attrs)
QuantizeDownAndShrinkRange(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input input_min, tensorflow.Input input_max, int out_type)
QuantizedRelu(tensorflow.Scope scope, tensorflow.Input features, tensorflow.Input min_features, tensorflow.Input max_features)
QuantizedRelu(tensorflow.Scope scope, tensorflow.Input features, tensorflow.Input min_features, tensorflow.Input max_features, tensorflow.QuantizedRelu.Attrs attrs)
QuantizedRelu6(tensorflow.Scope scope, tensorflow.Input features, tensorflow.Input min_features, tensorflow.Input max_features)
QuantizedRelu6(tensorflow.Scope scope, tensorflow.Input features, tensorflow.Input min_features, tensorflow.Input max_features, tensorflow.QuantizedRelu6.Attrs attrs)
QuantizedReluX(tensorflow.Scope scope, tensorflow.Input features, tensorflow.Input max_value, tensorflow.Input min_features, tensorflow.Input max_features)
QuantizedReluX(tensorflow.Scope scope, tensorflow.Input features, tensorflow.Input max_value, tensorflow.Input min_features, tensorflow.Input max_features, tensorflow.QuantizedReluX.Attrs attrs)
QuantizedReshape(tensorflow.Scope scope, tensorflow.Input tensor, tensorflow.Input shape, tensorflow.Input input_min, tensorflow.Input input_max)
QuantizedResizeBilinear(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input size, tensorflow.Input min, tensorflow.Input max)
QuantizedResizeBilinear(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input size, tensorflow.Input min, tensorflow.Input max, tensorflow.QuantizedResizeBilinear.Attrs attrs)
QuantizeV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_range, tensorflow.Input max_range, int T)
QuantizeV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input min_range, tensorflow.Input max_range, int T, tensorflow.QuantizeV2.Attrs attrs)
QueueClose(tensorflow.Scope scope, tensorflow.Input handle)
QueueClose(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.QueueClose.Attrs attrs)
QueueDequeue(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.DataTypeVector component_types)
QueueDequeue(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.DataTypeVector component_types, tensorflow.QueueDequeue.Attrs attrs)
QueueDequeueMany(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input n, tensorflow.DataTypeVector component_types)
QueueDequeueMany(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input n, tensorflow.DataTypeVector component_types, tensorflow.QueueDequeueMany.Attrs attrs)
QueueDequeueUpTo(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input n, tensorflow.DataTypeVector component_types)
QueueDequeueUpTo(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input n, tensorflow.DataTypeVector component_types, tensorflow.QueueDequeueUpTo.Attrs attrs)
QueueEnqueue(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.InputList components)
QueueEnqueue(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.InputList components, tensorflow.QueueEnqueue.Attrs attrs)
QueueEnqueueMany(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.InputList components)
QueueEnqueueMany(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.InputList components, tensorflow.QueueEnqueueMany.Attrs attrs)
QueueIsClosed(tensorflow.Scope scope, tensorflow.Input handle)
QueueIsClosedV2(tensorflow.Scope scope, tensorflow.Input handle)
QueueSize(tensorflow.Scope scope, tensorflow.Input handle)
RandomGamma(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input alpha)
RandomGamma(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input alpha, tensorflow.RandomGamma.Attrs attrs)
RandomNormal(tensorflow.Scope scope, tensorflow.Input shape, int dtype)
RandomNormal(tensorflow.Scope scope, tensorflow.Input shape, int dtype, tensorflow.RandomNormal.Attrs attrs)
RandomPoissonV2(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input rate)
RandomPoissonV2(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input rate, tensorflow.RandomPoissonV2.Attrs attrs)
RandomShuffle(tensorflow.Scope scope, tensorflow.Input value)
RandomShuffle(tensorflow.Scope scope, tensorflow.Input value, tensorflow.RandomShuffle.Attrs attrs)
RandomShuffleQueue(tensorflow.Scope scope, tensorflow.DataTypeVector component_types)
RandomShuffleQueue(tensorflow.Scope scope, tensorflow.DataTypeVector component_types, tensorflow.RandomShuffleQueue.Attrs attrs)
RandomUniform(tensorflow.Scope scope, tensorflow.Input shape, int dtype)
RandomUniform(tensorflow.Scope scope, tensorflow.Input shape, int dtype, tensorflow.RandomUniform.Attrs attrs)
RandomUniformInt(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input minval, tensorflow.Input maxval)
RandomUniformInt(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input minval, tensorflow.Input maxval, tensorflow.RandomUniformInt.Attrs attrs)
Range(tensorflow.Scope scope, tensorflow.Input start, tensorflow.Input limit, tensorflow.Input delta)
Rank(tensorflow.Scope scope, tensorflow.Input input)
ReaderNumRecordsProduced(tensorflow.Scope scope, tensorflow.Input reader_handle)
ReaderNumWorkUnitsCompleted(tensorflow.Scope scope, tensorflow.Input reader_handle)
ReaderRead(tensorflow.Scope scope, tensorflow.Input reader_handle, tensorflow.Input queue_handle)
ReaderReadUpTo(tensorflow.Scope scope, tensorflow.Input reader_handle, tensorflow.Input queue_handle, tensorflow.Input num_records)
ReaderReset(tensorflow.Scope scope, tensorflow.Input reader_handle)
ReaderRestoreState(tensorflow.Scope scope, tensorflow.Input reader_handle, tensorflow.Input state)
ReaderSerializeState(tensorflow.Scope scope, tensorflow.Input reader_handle)
ReadFile(tensorflow.Scope scope, tensorflow.Input filename)
Real(tensorflow.Scope scope, tensorflow.Input input)
Real(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Real.Attrs attrs)
RealDiv(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
Reciprocal(tensorflow.Scope scope, tensorflow.Input x)
RecordInput(tensorflow.Scope scope, BytePointer file_pattern)
RecordInput(tensorflow.Scope scope, BytePointer file_pattern, tensorflow.RecordInput.Attrs attrs)
RecordInput(tensorflow.Scope scope, String file_pattern)
RecordInput(tensorflow.Scope scope, String file_pattern, tensorflow.RecordInput.Attrs attrs)
ReduceJoin(tensorflow.Scope scope, tensorflow.Input inputs, tensorflow.Input reduction_indices)
ReduceJoin(tensorflow.Scope scope, tensorflow.Input inputs, tensorflow.Input reduction_indices, tensorflow.ReduceJoin.Attrs attrs)
RefNextIteration(tensorflow.Scope scope, tensorflow.Input data)
RefSelect(tensorflow.Scope scope, tensorflow.Input index, tensorflow.InputList inputs)
RefSwitch(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input pred)
RegexFullMatch(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input pattern)
RegexReplace(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input pattern, tensorflow.Input rewrite)
RegexReplace(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input pattern, tensorflow.Input rewrite, tensorflow.RegexReplace.Attrs attrs)
Relu(tensorflow.Scope scope, tensorflow.Input features)
Relu6(tensorflow.Scope scope, tensorflow.Input features)
RequantizationRange(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input input_min, tensorflow.Input input_max)
Requantize(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input input_min, tensorflow.Input input_max, tensorflow.Input requested_output_min, tensorflow.Input requested_output_max, int out_type)
Reshape(tensorflow.Scope scope, tensorflow.Input tensor, tensorflow.Input shape)
ResizeArea(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input size)
ResizeArea(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input size, tensorflow.ResizeArea.Attrs attrs)
ResizeBicubic(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input size)
ResizeBicubic(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input size, tensorflow.ResizeBicubic.Attrs attrs)
ResizeBilinear(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input size)
ResizeBilinear(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input size, tensorflow.ResizeBilinear.Attrs attrs)
ResizeNearestNeighbor(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input size)
ResizeNearestNeighbor(tensorflow.Scope scope, tensorflow.Input images, tensorflow.Input size, tensorflow.ResizeNearestNeighbor.Attrs attrs)
ResourceApplyAdadelta(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input accum_update, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input epsilon, tensorflow.Input grad)
ResourceApplyAdadelta(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input accum_update, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.ResourceApplyAdadelta.Attrs attrs)
ResourceApplyAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad)
ResourceApplyAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.ResourceApplyAdagrad.Attrs attrs)
ResourceApplyAdagradDA(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input gradient_accumulator, tensorflow.Input gradient_squared_accumulator, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input global_step)
ResourceApplyAdagradDA(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input gradient_accumulator, tensorflow.Input gradient_squared_accumulator, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input global_step, tensorflow.ResourceApplyAdagradDA.Attrs attrs)
ResourceApplyAdam(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input v, tensorflow.Input beta1_power, tensorflow.Input beta2_power, tensorflow.Input lr, tensorflow.Input beta1, tensorflow.Input beta2, tensorflow.Input epsilon, tensorflow.Input grad)
ResourceApplyAdam(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input v, tensorflow.Input beta1_power, tensorflow.Input beta2_power, tensorflow.Input lr, tensorflow.Input beta1, tensorflow.Input beta2, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.ResourceApplyAdam.Attrs attrs)
ResourceApplyAddSign(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input lr, tensorflow.Input alpha, tensorflow.Input sign_decay, tensorflow.Input beta, tensorflow.Input grad)
ResourceApplyAddSign(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input lr, tensorflow.Input alpha, tensorflow.Input sign_decay, tensorflow.Input beta, tensorflow.Input grad, tensorflow.ResourceApplyAddSign.Attrs attrs)
ResourceApplyCenteredRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input mg, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad)
ResourceApplyCenteredRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input mg, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.ResourceApplyCenteredRMSProp.Attrs attrs)
ResourceApplyFtrl(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input lr_power)
ResourceApplyFtrl(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input lr_power, tensorflow.ResourceApplyFtrl.Attrs attrs)
ResourceApplyFtrlV2(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input l2_shrinkage, tensorflow.Input lr_power)
ResourceApplyFtrlV2(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input l2_shrinkage, tensorflow.Input lr_power, tensorflow.ResourceApplyFtrlV2.Attrs attrs)
ResourceApplyGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input delta)
ResourceApplyGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input delta, tensorflow.ResourceApplyGradientDescent.Attrs attrs)
ResourceApplyMomentum(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input momentum)
ResourceApplyMomentum(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input momentum, tensorflow.ResourceApplyMomentum.Attrs attrs)
ResourceApplyPowerSign(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input lr, tensorflow.Input logbase, tensorflow.Input sign_decay, tensorflow.Input beta, tensorflow.Input grad)
ResourceApplyPowerSign(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input m, tensorflow.Input lr, tensorflow.Input logbase, tensorflow.Input sign_decay, tensorflow.Input beta, tensorflow.Input grad, tensorflow.ResourceApplyPowerSign.Attrs attrs)
ResourceApplyProximalAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad)
ResourceApplyProximalAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.ResourceApplyProximalAdagrad.Attrs attrs)
ResourceApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input delta)
ResourceApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input delta, tensorflow.ResourceApplyProximalGradientDescent.Attrs attrs)
ResourceApplyRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad)
ResourceApplyRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.ResourceApplyRMSProp.Attrs attrs)
ResourceCountUpTo(tensorflow.Scope scope, tensorflow.Input resource, long limit, int T)
ResourceScatterNdAdd(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ResourceScatterNdAdd(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ResourceScatterNdAdd.Attrs attrs)
ResourceScatterNdUpdate(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ResourceScatterNdUpdate(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ResourceScatterNdUpdate.Attrs attrs)
ResourceSparseApplyAdadelta(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input accum_update, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices)
ResourceSparseApplyAdadelta(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input accum_update, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices, tensorflow.ResourceSparseApplyAdadelta.Attrs attrs)
ResourceSparseApplyAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input indices)
ResourceSparseApplyAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input indices, tensorflow.ResourceSparseApplyAdagrad.Attrs attrs)
ResourceSparseApplyAdagradDA(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input gradient_accumulator, tensorflow.Input gradient_squared_accumulator, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input global_step)
ResourceSparseApplyAdagradDA(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input gradient_accumulator, tensorflow.Input gradient_squared_accumulator, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input global_step, tensorflow.ResourceSparseApplyAdagradDA.Attrs attrs)
ResourceSparseApplyCenteredRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input mg, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices)
ResourceSparseApplyCenteredRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input mg, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices, tensorflow.ResourceSparseApplyCenteredRMSProp.Attrs attrs)
ResourceSparseApplyFtrl(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input lr_power)
ResourceSparseApplyFtrl(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input lr_power, tensorflow.ResourceSparseApplyFtrl.Attrs attrs)
ResourceSparseApplyFtrlV2(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input l2_shrinkage, tensorflow.Input lr_power)
ResourceSparseApplyFtrlV2(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input l2_shrinkage, tensorflow.Input lr_power, tensorflow.ResourceSparseApplyFtrlV2.Attrs attrs)
ResourceSparseApplyMomentum(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input momentum)
ResourceSparseApplyMomentum(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input momentum, tensorflow.ResourceSparseApplyMomentum.Attrs attrs)
ResourceSparseApplyProximalAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.Input indices)
ResourceSparseApplyProximalAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.Input indices, tensorflow.ResourceSparseApplyProximalAdagrad.Attrs attrs)
ResourceSparseApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.Input indices)
ResourceSparseApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.Input indices, tensorflow.ResourceSparseApplyProximalGradientDescent.Attrs attrs)
ResourceSparseApplyRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices)
ResourceSparseApplyRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices, tensorflow.ResourceSparseApplyRMSProp.Attrs attrs)
ResourceStridedSliceAssign(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input begin, tensorflow.Input end, tensorflow.Input strides, tensorflow.Input value)
ResourceStridedSliceAssign(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input begin, tensorflow.Input end, tensorflow.Input strides, tensorflow.Input value, tensorflow.ResourceStridedSliceAssign.Attrs attrs)
Restore(tensorflow.Scope scope, tensorflow.Input file_pattern, tensorflow.Input tensor_name, int dt)
Restore(tensorflow.Scope scope, tensorflow.Input file_pattern, tensorflow.Input tensor_name, int dt, tensorflow.Restore.Attrs attrs)
RestoreSlice(tensorflow.Scope scope, tensorflow.Input file_pattern, tensorflow.Input tensor_name, tensorflow.Input shape_and_slice, int dt)
RestoreSlice(tensorflow.Scope scope, tensorflow.Input file_pattern, tensorflow.Input tensor_name, tensorflow.Input shape_and_slice, int dt, tensorflow.RestoreSlice.Attrs attrs)
RestoreV2(tensorflow.Scope scope, tensorflow.Input prefix, tensorflow.Input tensor_names, tensorflow.Input shape_and_slices, tensorflow.DataTypeVector dtypes)
Reverse(tensorflow.Scope scope, tensorflow.Input tensor, tensorflow.Input axis)
ReverseSequence(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input seq_lengths, long seq_dim)
ReverseSequence(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input seq_lengths, long seq_dim, tensorflow.ReverseSequence.Attrs attrs)
RGBToHSV(tensorflow.Scope scope, tensorflow.Input images)
Rint(tensorflow.Scope scope, tensorflow.Input x)
Round(tensorflow.Scope scope, tensorflow.Input x)
Rsqrt(tensorflow.Scope scope, tensorflow.Input x)
SampleDistortedBoundingBox(tensorflow.Scope scope, tensorflow.Input image_size, tensorflow.Input bounding_boxes)
SampleDistortedBoundingBox(tensorflow.Scope scope, tensorflow.Input image_size, tensorflow.Input bounding_boxes, tensorflow.SampleDistortedBoundingBox.Attrs attrs)
SampleDistortedBoundingBoxV2(tensorflow.Scope scope, tensorflow.Input image_size, tensorflow.Input bounding_boxes, tensorflow.Input min_object_covered)
SampleDistortedBoundingBoxV2(tensorflow.Scope scope, tensorflow.Input image_size, tensorflow.Input bounding_boxes, tensorflow.Input min_object_covered, tensorflow.SampleDistortedBoundingBoxV2.Attrs attrs)
Save(tensorflow.Scope scope, tensorflow.Input filename, tensorflow.Input tensor_names, tensorflow.InputList data)
SaveSlices(tensorflow.Scope scope, tensorflow.Input filename, tensorflow.Input tensor_names, tensorflow.Input shapes_and_slices, tensorflow.InputList data)
SaveV2(tensorflow.Scope scope, tensorflow.Input prefix, tensorflow.Input tensor_names, tensorflow.Input shape_and_slices, tensorflow.InputList tensors)
ScalarSummary(tensorflow.Scope scope, tensorflow.Input tags, tensorflow.Input values)
ScatterAdd(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterAdd(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterAdd.Attrs attrs)
ScatterDiv(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterDiv(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterDiv.Attrs attrs)
ScatterMax(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterMax(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterMax.Attrs attrs)
ScatterMin(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterMin(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterMin.Attrs attrs)
ScatterMul(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterMul(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterMul.Attrs attrs)
ScatterNd(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.Input updates, tensorflow.Input shape)
ScatterNdAdd(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterNdAdd(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterNdAdd.Attrs attrs)
ScatterNdNonAliasingAdd(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input indices, tensorflow.Input updates)
ScatterNdSub(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterNdSub(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterNdSub.Attrs attrs)
ScatterNdUpdate(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterNdUpdate(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterNdUpdate.Attrs attrs)
ScatterSub(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterSub(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterSub.Attrs attrs)
ScatterUpdate(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates)
ScatterUpdate(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input indices, tensorflow.Input updates, tensorflow.ScatterUpdate.Attrs attrs)
Scope(tensorflow.Scope other)
SegmentMax(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input segment_ids)
SegmentMean(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input segment_ids)
SegmentMin(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input segment_ids)
SegmentProd(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input segment_ids)
SegmentSum(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input segment_ids)
SelfAdjointEig(tensorflow.Scope scope, tensorflow.Input input)
SelfAdjointEig(tensorflow.Scope scope, tensorflow.Input input, tensorflow.SelfAdjointEig.Attrs attrs)
Selu(tensorflow.Scope scope, tensorflow.Input features)
SerializeManySparse(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input sparse_values, tensorflow.Input sparse_shape)
SerializeManySparse(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input sparse_values, tensorflow.Input sparse_shape, tensorflow.SerializeManySparse.Attrs attrs)
SerializeSparse(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input sparse_values, tensorflow.Input sparse_shape)
SerializeSparse(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input sparse_values, tensorflow.Input sparse_shape, tensorflow.SerializeSparse.Attrs attrs)
SerializeTensor(tensorflow.Scope scope, tensorflow.Input tensor)
SetDiff1D(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
SetDiff1D(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y, tensorflow.SetDiff1D.Attrs attrs)
ShapeN(tensorflow.Scope scope, tensorflow.InputList input)
ShapeN(tensorflow.Scope scope, tensorflow.InputList input, tensorflow.ShapeN.Attrs attrs)
ShardedFilename(tensorflow.Scope scope, tensorflow.Input basename, tensorflow.Input shard, tensorflow.Input num_shards)
ShardedFilespec(tensorflow.Scope scope, tensorflow.Input basename, tensorflow.Input num_shards)
Sigmoid(tensorflow.Scope scope, tensorflow.Input x)
Sign(tensorflow.Scope scope, tensorflow.Input x)
Sin(tensorflow.Scope scope, tensorflow.Input x)
Sinh(tensorflow.Scope scope, tensorflow.Input x)
Size(tensorflow.Scope scope, tensorflow.Input input)
Size(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Size.Attrs attrs)
Slice(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input begin, tensorflow.Input size)
Snapshot(tensorflow.Scope scope, tensorflow.Input input)
Softmax(tensorflow.Scope scope, tensorflow.Input logits)
SoftmaxCrossEntropyWithLogits(tensorflow.Scope scope, tensorflow.Input features, tensorflow.Input labels)
Softplus(tensorflow.Scope scope, tensorflow.Input features)
Softsign(tensorflow.Scope scope, tensorflow.Input features)
SpaceToBatch(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input paddings, long block_size)
SpaceToBatchND(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input block_shape, tensorflow.Input paddings)
SpaceToDepth(tensorflow.Scope scope, tensorflow.Input input, long block_size)
SpaceToDepth(tensorflow.Scope scope, tensorflow.Input input, long block_size, tensorflow.SpaceToDepth.Attrs attrs)
SparseAccumulatorApplyGradient(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input local_step, tensorflow.Input gradient_indices, tensorflow.Input gradient_values, tensorflow.Input gradient_shape, boolean has_known_shape)
SparseAccumulatorTakeGradient(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input num_required, int dtype)
SparseAdd(tensorflow.Scope scope, tensorflow.Input a_indices, tensorflow.Input a_values, tensorflow.Input a_shape, tensorflow.Input b_indices, tensorflow.Input b_values, tensorflow.Input b_shape, tensorflow.Input thresh)
SparseAddGrad(tensorflow.Scope scope, tensorflow.Input backprop_val_grad, tensorflow.Input a_indices, tensorflow.Input b_indices, tensorflow.Input sum_indices)
SparseApplyAdadelta(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input accum_update, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices)
SparseApplyAdadelta(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input accum_update, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices, tensorflow.SparseApplyAdadelta.Attrs attrs)
SparseApplyAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input indices)
SparseApplyAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input indices, tensorflow.SparseApplyAdagrad.Attrs attrs)
SparseApplyAdagradDA(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input gradient_accumulator, tensorflow.Input gradient_squared_accumulator, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input global_step)
SparseApplyAdagradDA(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input gradient_accumulator, tensorflow.Input gradient_squared_accumulator, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input global_step, tensorflow.SparseApplyAdagradDA.Attrs attrs)
SparseApplyCenteredRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input mg, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices)
SparseApplyCenteredRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input mg, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices, tensorflow.SparseApplyCenteredRMSProp.Attrs attrs)
SparseApplyFtrl(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input lr_power)
SparseApplyFtrl(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input lr_power, tensorflow.SparseApplyFtrl.Attrs attrs)
SparseApplyFtrlV2(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input l2_shrinkage, tensorflow.Input lr_power)
SparseApplyFtrlV2(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input linear, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input l2_shrinkage, tensorflow.Input lr_power, tensorflow.SparseApplyFtrlV2.Attrs attrs)
SparseApplyMomentum(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input momentum)
SparseApplyMomentum(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input momentum, tensorflow.SparseApplyMomentum.Attrs attrs)
SparseApplyProximalAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.Input indices)
SparseApplyProximalAdagrad(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input accum, tensorflow.Input lr, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.Input indices, tensorflow.SparseApplyProximalAdagrad.Attrs attrs)
SparseApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.Input indices)
SparseApplyProximalGradientDescent(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input alpha, tensorflow.Input l1, tensorflow.Input l2, tensorflow.Input grad, tensorflow.Input indices, tensorflow.SparseApplyProximalGradientDescent.Attrs attrs)
SparseApplyRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices)
SparseApplyRMSProp(tensorflow.Scope scope, tensorflow.Input var, tensorflow.Input ms, tensorflow.Input mom, tensorflow.Input lr, tensorflow.Input rho, tensorflow.Input momentum, tensorflow.Input epsilon, tensorflow.Input grad, tensorflow.Input indices, tensorflow.SparseApplyRMSProp.Attrs attrs)
SparseConcat(tensorflow.Scope scope, tensorflow.InputList indices, tensorflow.InputList values, tensorflow.InputList shapes, long concat_dim)
SparseConditionalAccumulator(tensorflow.Scope scope, int dtype, tensorflow.PartialTensorShape shape)
SparseConditionalAccumulator(tensorflow.Scope scope, int dtype, tensorflow.PartialTensorShape shape, tensorflow.SparseConditionalAccumulator.Attrs attrs)
SparseCross(tensorflow.Scope scope, tensorflow.InputList indices, tensorflow.InputList values, tensorflow.InputList shapes, tensorflow.InputList dense_inputs, boolean hashed_output, long num_buckets, long hash_key, int out_type, int internal_type)
SparseDenseCwiseAdd(tensorflow.Scope scope, tensorflow.Input sp_indices, tensorflow.Input sp_values, tensorflow.Input sp_shape, tensorflow.Input dense)
SparseDenseCwiseDiv(tensorflow.Scope scope, tensorflow.Input sp_indices, tensorflow.Input sp_values, tensorflow.Input sp_shape, tensorflow.Input dense)
SparseDenseCwiseMul(tensorflow.Scope scope, tensorflow.Input sp_indices, tensorflow.Input sp_values, tensorflow.Input sp_shape, tensorflow.Input dense)
SparseFillEmptyRows(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.Input values, tensorflow.Input dense_shape, tensorflow.Input default_value)
SparseFillEmptyRowsGrad(tensorflow.Scope scope, tensorflow.Input reverse_index_map, tensorflow.Input grad_values)
SparseMatMul(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input b)
SparseMatMul(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input b, tensorflow.SparseMatMul.Attrs attrs)
SparseReduceMax(tensorflow.Scope scope, tensorflow.Input input_indices, tensorflow.Input input_values, tensorflow.Input input_shape, tensorflow.Input reduction_axes)
SparseReduceMax(tensorflow.Scope scope, tensorflow.Input input_indices, tensorflow.Input input_values, tensorflow.Input input_shape, tensorflow.Input reduction_axes, tensorflow.SparseReduceMax.Attrs attrs)
SparseReduceMaxSparse(tensorflow.Scope scope, tensorflow.Input input_indices, tensorflow.Input input_values, tensorflow.Input input_shape, tensorflow.Input reduction_axes)
SparseReduceMaxSparse(tensorflow.Scope scope, tensorflow.Input input_indices, tensorflow.Input input_values, tensorflow.Input input_shape, tensorflow.Input reduction_axes, tensorflow.SparseReduceMaxSparse.Attrs attrs)
SparseReduceSum(tensorflow.Scope scope, tensorflow.Input input_indices, tensorflow.Input input_values, tensorflow.Input input_shape, tensorflow.Input reduction_axes)
SparseReduceSum(tensorflow.Scope scope, tensorflow.Input input_indices, tensorflow.Input input_values, tensorflow.Input input_shape, tensorflow.Input reduction_axes, tensorflow.SparseReduceSum.Attrs attrs)
SparseReduceSumSparse(tensorflow.Scope scope, tensorflow.Input input_indices, tensorflow.Input input_values, tensorflow.Input input_shape, tensorflow.Input reduction_axes)
SparseReduceSumSparse(tensorflow.Scope scope, tensorflow.Input input_indices, tensorflow.Input input_values, tensorflow.Input input_shape, tensorflow.Input reduction_axes, tensorflow.SparseReduceSumSparse.Attrs attrs)
SparseReorder(tensorflow.Scope scope, tensorflow.Input input_indices, tensorflow.Input input_values, tensorflow.Input input_shape)
SparseReshape(tensorflow.Scope scope, tensorflow.Input input_indices, tensorflow.Input input_shape, tensorflow.Input new_shape)
SparseSegmentMean(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input indices, tensorflow.Input segment_ids)
SparseSegmentMeanGrad(tensorflow.Scope scope, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input segment_ids, tensorflow.Input output_dim0)
SparseSegmentMeanWithNumSegments(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input indices, tensorflow.Input segment_ids, tensorflow.Input num_segments)
SparseSegmentSqrtN(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input indices, tensorflow.Input segment_ids)
SparseSegmentSqrtNGrad(tensorflow.Scope scope, tensorflow.Input grad, tensorflow.Input indices, tensorflow.Input segment_ids, tensorflow.Input output_dim0)
SparseSegmentSqrtNWithNumSegments(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input indices, tensorflow.Input segment_ids, tensorflow.Input num_segments)
SparseSegmentSum(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input indices, tensorflow.Input segment_ids)
SparseSegmentSumWithNumSegments(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input indices, tensorflow.Input segment_ids, tensorflow.Input num_segments)
SparseSlice(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.Input values, tensorflow.Input shape, tensorflow.Input start, tensorflow.Input size)
SparseSliceGrad(tensorflow.Scope scope, tensorflow.Input backprop_val_grad, tensorflow.Input input_indices, tensorflow.Input input_start, tensorflow.Input output_indices)
SparseSoftmax(tensorflow.Scope scope, tensorflow.Input sp_indices, tensorflow.Input sp_values, tensorflow.Input sp_shape)
SparseSoftmaxCrossEntropyWithLogits(tensorflow.Scope scope, tensorflow.Input features, tensorflow.Input labels)
SparseSparseMaximum(tensorflow.Scope scope, tensorflow.Input a_indices, tensorflow.Input a_values, tensorflow.Input a_shape, tensorflow.Input b_indices, tensorflow.Input b_values, tensorflow.Input b_shape)
SparseSparseMinimum(tensorflow.Scope scope, tensorflow.Input a_indices, tensorflow.Input a_values, tensorflow.Input a_shape, tensorflow.Input b_indices, tensorflow.Input b_values, tensorflow.Input b_shape)
SparseSplit(tensorflow.Scope scope, tensorflow.Input split_dim, tensorflow.Input indices, tensorflow.Input values, tensorflow.Input shape, long num_split)
SparseTensorDenseAdd(tensorflow.Scope scope, tensorflow.Input a_indices, tensorflow.Input a_values, tensorflow.Input a_shape, tensorflow.Input b)
SparseTensorDenseMatMul(tensorflow.Scope scope, tensorflow.Input a_indices, tensorflow.Input a_values, tensorflow.Input a_shape, tensorflow.Input b)
SparseTensorDenseMatMul(tensorflow.Scope scope, tensorflow.Input a_indices, tensorflow.Input a_values, tensorflow.Input a_shape, tensorflow.Input b, tensorflow.SparseTensorDenseMatMul.Attrs attrs)
SparseToDense(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input output_shape, tensorflow.Input sparse_values, tensorflow.Input default_value)
SparseToDense(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input output_shape, tensorflow.Input sparse_values, tensorflow.Input default_value, tensorflow.SparseToDense.Attrs attrs)
Split(tensorflow.Scope scope, tensorflow.Input axis, tensorflow.Input value, long num_split)
SplitV(tensorflow.Scope scope, tensorflow.Input value, tensorflow.Input size_splits, tensorflow.Input axis, long num_split)
Sqrt(tensorflow.Scope scope, tensorflow.Input x)
Square(tensorflow.Scope scope, tensorflow.Input x)
SquaredDifference(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
Squeeze(tensorflow.Scope scope, tensorflow.Input input)
Squeeze(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Squeeze.Attrs attrs)
Stack(tensorflow.Scope scope, tensorflow.InputList values)
Stack(tensorflow.Scope scope, tensorflow.InputList values, tensorflow.Stack.Attrs attrs)
Stage(tensorflow.Scope scope, tensorflow.InputList values)
Stage(tensorflow.Scope scope, tensorflow.InputList values, tensorflow.Stage.Attrs attrs)
StageClear(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes)
StageClear(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes, tensorflow.StageClear.Attrs attrs)
StagePeek(tensorflow.Scope scope, tensorflow.Input index, tensorflow.DataTypeVector dtypes)
StagePeek(tensorflow.Scope scope, tensorflow.Input index, tensorflow.DataTypeVector dtypes, tensorflow.StagePeek.Attrs attrs)
StageSize(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes)
StageSize(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes, tensorflow.StageSize.Attrs attrs)
StopGradient(tensorflow.Scope scope, tensorflow.Input input)
StridedSlice(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input begin, tensorflow.Input end, tensorflow.Input strides)
StridedSlice(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input begin, tensorflow.Input end, tensorflow.Input strides, tensorflow.StridedSlice.Attrs attrs)
StridedSliceAssign(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input begin, tensorflow.Input end, tensorflow.Input strides, tensorflow.Input value)
StridedSliceAssign(tensorflow.Scope scope, tensorflow.Input ref, tensorflow.Input begin, tensorflow.Input end, tensorflow.Input strides, tensorflow.Input value, tensorflow.StridedSliceAssign.Attrs attrs)
StridedSliceGrad(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input begin, tensorflow.Input end, tensorflow.Input strides, tensorflow.Input dy)
StridedSliceGrad(tensorflow.Scope scope, tensorflow.Input shape, tensorflow.Input begin, tensorflow.Input end, tensorflow.Input strides, tensorflow.Input dy, tensorflow.StridedSliceGrad.Attrs attrs)
StringFormat(tensorflow.Scope scope, tensorflow.InputList inputs)
StringFormat(tensorflow.Scope scope, tensorflow.InputList inputs, tensorflow.StringFormat.Attrs attrs)
StringJoin(tensorflow.Scope scope, tensorflow.InputList inputs)
StringJoin(tensorflow.Scope scope, tensorflow.InputList inputs, tensorflow.StringJoin.Attrs attrs)
StringLength(tensorflow.Scope scope, tensorflow.Input input)
StringLength(tensorflow.Scope scope, tensorflow.Input input, tensorflow.StringLength.Attrs attrs)
StringSplit(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input delimiter)
StringSplit(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input delimiter, tensorflow.StringSplit.Attrs attrs)
StringSplitV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input sep)
StringSplitV2(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input sep, tensorflow.StringSplitV2.Attrs attrs)
StringStrip(tensorflow.Scope scope, tensorflow.Input input)
StringToHashBucket(tensorflow.Scope scope, tensorflow.Input string_tensor, long num_buckets)
StringToHashBucketFast(tensorflow.Scope scope, tensorflow.Input input, long num_buckets)
StringToHashBucketStrong(tensorflow.Scope scope, tensorflow.Input input, long num_buckets, int... key)
StringToHashBucketStrong(tensorflow.Scope scope, tensorflow.Input input, long num_buckets, IntBuffer key)
StringToHashBucketStrong(tensorflow.Scope scope, tensorflow.Input input, long num_buckets, IntPointer key)
StringToNumber(tensorflow.Scope scope, tensorflow.Input string_tensor)
StringToNumber(tensorflow.Scope scope, tensorflow.Input string_tensor, tensorflow.StringToNumber.Attrs attrs)
Substr(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input pos, tensorflow.Input len)
Subtract(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
Sum(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis)
Sum(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input axis, tensorflow.Sum.Attrs attrs)
Svd(tensorflow.Scope scope, tensorflow.Input input)
Svd(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Svd.Attrs attrs)
Switch(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input pred)
TakeManySparseFromTensorsMap(tensorflow.Scope scope, tensorflow.Input sparse_handles, int dtype)
TakeManySparseFromTensorsMap(tensorflow.Scope scope, tensorflow.Input sparse_handles, int dtype, tensorflow.TakeManySparseFromTensorsMap.Attrs attrs)
Tan(tensorflow.Scope scope, tensorflow.Input x)
Tanh(tensorflow.Scope scope, tensorflow.Input x)
TemporaryVariable(tensorflow.Scope scope, tensorflow.PartialTensorShape shape, int dtype)
TemporaryVariable(tensorflow.Scope scope, tensorflow.PartialTensorShape shape, int dtype, tensorflow.TemporaryVariable.Attrs attrs)
TensorArray(tensorflow.Scope scope, tensorflow.Input size, int dtype)
TensorArray(tensorflow.Scope scope, tensorflow.Input size, int dtype, tensorflow.TensorArray.Attrs attrs)
TensorArrayClose(tensorflow.Scope scope, tensorflow.Input handle)
TensorArrayConcat(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input flow_in, int dtype)
TensorArrayConcat(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input flow_in, int dtype, tensorflow.TensorArrayConcat.Attrs attrs)
TensorArrayGather(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input indices, tensorflow.Input flow_in, int dtype)
TensorArrayGather(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input indices, tensorflow.Input flow_in, int dtype, tensorflow.TensorArrayGather.Attrs attrs)
TensorArrayGrad(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input flow_in, BytePointer source)
TensorArrayGrad(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input flow_in, String source)
TensorArrayGradWithShape(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input flow_in, tensorflow.Input shape_to_prepend, BytePointer source)
TensorArrayGradWithShape(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input flow_in, tensorflow.Input shape_to_prepend, String source)
TensorArrayRead(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input index, tensorflow.Input flow_in, int dtype)
TensorArrayScatter(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input indices, tensorflow.Input value, tensorflow.Input flow_in)
TensorArraySize(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input flow_in)
TensorArraySplit(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input value, tensorflow.Input lengths, tensorflow.Input flow_in)
TensorArrayWrite(tensorflow.Scope scope, tensorflow.Input handle, tensorflow.Input index, tensorflow.Input value, tensorflow.Input flow_in)
TensorSummary(tensorflow.Scope scope, tensorflow.Input tensor)
TensorSummary(tensorflow.Scope scope, tensorflow.Input tensor, tensorflow.TensorSummary.Attrs attrs)
TensorSummaryV2(tensorflow.Scope scope, tensorflow.Input tag, tensorflow.Input tensor, tensorflow.Input serialized_summary_metadata)
TextLineReader(tensorflow.Scope scope)
TextLineReader(tensorflow.Scope scope, tensorflow.TextLineReader.Attrs attrs)
TFRecordReader(tensorflow.Scope scope)
TFRecordReader(tensorflow.Scope scope, tensorflow.TFRecordReader.Attrs attrs)
Tile(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input multiples)
Timestamp(tensorflow.Scope scope)
TopK(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input k)
TopK(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input k, tensorflow.TopK.Attrs attrs)
Transpose(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input perm)
TruncateDiv(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
TruncatedNormal(tensorflow.Scope scope, tensorflow.Input shape, int dtype)
TruncatedNormal(tensorflow.Scope scope, tensorflow.Input shape, int dtype, tensorflow.TruncatedNormal.Attrs attrs)
TruncateMod(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
UnicodeScript(tensorflow.Scope scope, tensorflow.Input input)
UniformCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique, long range_max)
UniformCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique, long range_max, tensorflow.UniformCandidateSampler.Attrs attrs)
Unique(tensorflow.Scope scope, tensorflow.Input x)
Unique(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Unique.Attrs attrs)
UniqueV2(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input axis)
UniqueV2(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input axis, tensorflow.UniqueV2.Attrs attrs)
UniqueWithCounts(tensorflow.Scope scope, tensorflow.Input x)
UniqueWithCounts(tensorflow.Scope scope, tensorflow.Input x, tensorflow.UniqueWithCounts.Attrs attrs)
UniqueWithCountsV2(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input axis)
UniqueWithCountsV2(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input axis, tensorflow.UniqueWithCountsV2.Attrs attrs)
UnravelIndex(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.Input dims)
UnsortedSegmentMax(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input segment_ids, tensorflow.Input num_segments)
UnsortedSegmentMin(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input segment_ids, tensorflow.Input num_segments)
UnsortedSegmentProd(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input segment_ids, tensorflow.Input num_segments)
UnsortedSegmentSum(tensorflow.Scope scope, tensorflow.Input data, tensorflow.Input segment_ids, tensorflow.Input num_segments)
Unstack(tensorflow.Scope scope, tensorflow.Input value, long num)
Unstack(tensorflow.Scope scope, tensorflow.Input value, long num, tensorflow.Unstack.Attrs attrs)
Unstage(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes)
Unstage(tensorflow.Scope scope, tensorflow.DataTypeVector dtypes, tensorflow.Unstage.Attrs attrs)
Variable(tensorflow.Scope scope, tensorflow.PartialTensorShape shape, int dtype)
Variable(tensorflow.Scope scope, tensorflow.PartialTensorShape shape, int dtype, tensorflow.Variable.Attrs attrs)
Where(tensorflow.Scope scope, tensorflow.Input condition)
Where3(tensorflow.Scope scope, tensorflow.Input condition, tensorflow.Input x, tensorflow.Input y)
WholeFileReader(tensorflow.Scope scope)
WholeFileReader(tensorflow.Scope scope, tensorflow.WholeFileReader.Attrs attrs)
WriteFile(tensorflow.Scope scope, tensorflow.Input filename, tensorflow.Input contents)
Xdivy(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
Xlogy(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input y)
ZerosLike(tensorflow.Scope scope, tensorflow.Input x)
Zeta(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input q)