xref: /external/tensorflow/tensorflow/core/grappler/op_types.h

/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_GRAPPLER_OP_TYPES_H_
#define TENSORFLOW_GRAPPLER_OP_TYPES_H_

#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/lib/core/status.h"

namespace tensorflow {
namespace grappler {

bool IsAdd(const NodeDef& node);
bool IsAddN(const NodeDef& node);
bool IsAll(const NodeDef& node);
bool IsAngle(const NodeDef& node);
bool IsAny(const NodeDef& node);
bool IsAnyDiv(const NodeDef& node);
bool IsApproximateEqual(const NodeDef& node);
bool IsAvgPoolGrad(const NodeDef& node);
bool IsAssert(const NodeDef& node);
bool IsAtan2(const NodeDef& node);
bool IsBetainc(const NodeDef& node);
bool IsBiasAdd(const NodeDef& node);
bool IsBiasAddGrad(const NodeDef& node);
bool IsBitcast(const NodeDef& node);
bool IsCast(const NodeDef& node);
bool IsComplex(const NodeDef& node);
bool IsComplexAbs(const NodeDef& node);
bool IsConj(const NodeDef& node);
bool IsConcatOffset(const NodeDef& node);
bool IsConstant(const NodeDef& node);
bool IsConv2D(const NodeDef& node);
bool IsConv2DBackpropFilter(const NodeDef& node);
bool IsConv2DBackpropInput(const NodeDef& node);
bool IsDepthwiseConv2dNative(const NodeDef& node);
bool IsDepthwiseConv2dNativeBackpropFilter(const NodeDef& node);
bool IsDepthwiseConv2dNativeBackpropInput(const NodeDef& node);
bool IsDequeueOp(const NodeDef& node);
bool IsDiv(const NodeDef& node);
bool IsEluGrad(const NodeDef& node);
bool IsEnter(const NodeDef& node);
bool IsEqual(const NodeDef& node);
bool IsExit(const NodeDef& node);
bool IsFill(const NodeDef& node);
bool IsFloorDiv(const NodeDef& node);
bool IsFloorMod(const NodeDef& node);
bool IsFusedBatchNormGrad(const NodeDef& node);
bool IsGreater(const NodeDef& node);
bool IsGreaterEqual(const NodeDef& node);
bool IsHistogramSummary(const NodeDef& node);
bool IsIdentity(const NodeDef& node);
bool IsIdentityN(const NodeDef& node);
bool IsIgamma(const NodeDef& node);
bool IsIgammac(const NodeDef& node);
bool IsImag(const NodeDef& node);
bool IsInvGrad(const NodeDef& node);
bool IsLess(const NodeDef& node);
bool IsLessEqual(const NodeDef& node);
bool IsLogicalAnd(const NodeDef& node);
bool IsLogicalNot(const NodeDef& node);
bool IsLogicalOr(const NodeDef& node);
bool IsMax(const NodeDef& node);
bool IsMaximum(const NodeDef& node);
bool IsMean(const NodeDef& node);
bool IsMerge(const NodeDef& node);
bool IsMin(const NodeDef& node);
bool IsMinimum(const NodeDef& node);
bool IsMirrorPad(const NodeDef& node);
bool IsMirrorPadGrad(const NodeDef& node);
bool IsMod(const NodeDef& node);
bool IsMul(const NodeDef& node);
bool IsMatMul(const NodeDef& node);
bool IsNextIteration(const NodeDef& node);
bool IsPad(const NodeDef& node);
bool IsNoOp(const NodeDef& node);
bool IsNotEqual(const NodeDef& node);
bool IsPlaceholder(const NodeDef& node);
bool IsPolygamma(const NodeDef& node);
bool IsProd(const NodeDef& node);
bool IsPow(const NodeDef& node);
bool IsReal(const NodeDef& node);
bool IsRealDiv(const NodeDef& node);
bool IsRelu6Grad(const NodeDef& node);
bool IsReluGrad(const NodeDef& node);
bool IsReciprocalGrad(const NodeDef& node);
bool IsRecv(const NodeDef& node);
bool IsReduction(const NodeDef& node);
bool IsReshape(const NodeDef& node);
bool IsRestore(const NodeDef& node);
bool IsReverseV2(const NodeDef& node);
bool IsRsqrtGrad(const NodeDef& node);
bool IsSelect(const NodeDef& node);
bool IsSeluGrad(const NodeDef& node);
bool IsSend(const NodeDef& node);
bool IsSlice(const NodeDef& node);
bool IsShape(const NodeDef& node);
bool IsShapeN(const NodeDef& node);
bool IsSigmoidGrad(const NodeDef& node);
bool IsSoftplusGrad(const NodeDef& node);
bool IsSoftsignGrad(const NodeDef& node);
bool IsSplit(const NodeDef& node);
bool IsSplitV(const NodeDef& node);
bool IsSqrtGrad(const NodeDef& node);
bool IsSquaredDifference(const NodeDef& node);
bool IsSqueeze(const NodeDef& node);
bool IsStopGradient(const NodeDef& node);
bool IsStridedSlice(const NodeDef& node);
bool IsStridedSliceGrad(const NodeDef& node);
bool IsSub(const NodeDef& node);
bool IsSum(const NodeDef& node);
bool IsSwitch(const NodeDef& node);
bool IsTanhGrad(const NodeDef& node);
bool IsTile(const NodeDef& node);
bool IsTranspose(const NodeDef& node);
bool IsTruncateDiv(const NodeDef& node);
bool IsTruncateMod(const NodeDef& node);
bool IsVariable(const NodeDef& node);
bool IsZeta(const NodeDef& node);

// Return true if the op is an aggregation (e.g. Add, AddN).
// Returns false if it could not be determined to be so.
bool IsAggregate(const NodeDef& node);

// Return true if the op is commutative (e.g. Mul, Add).
// Returns false if it could not be determined to be so.
bool IsCommutative(const NodeDef& node);

// Returns true if the node is known to use persistent memory to store its
// value.
bool IsPersistent(const NodeDef& node);

bool IsFreeOfSideEffect(const NodeDef& node);
bool ModifiesFrameInfo(const NodeDef& node);

// Returns true if the op is an element-wise involution, i.e. if it is its
// own inverse such that f(f(x)) == x.
bool IsInvolution(const NodeDef& node);

// Returns true if the op in node only rearranges the order of elements in its
// first input tensor and possible changes its shape. More precisely, this
// function returns true if the op commutes with all element-wise operations.
bool IsValuePreserving(const NodeDef& node);

// Returns true if we can find an opdef corresponding to the op of the node.
bool HasOpDef(const NodeDef& node);

}  // end namespace grappler
}  // end namespace tensorflow

#endif  // TENSORFLOW_GRAPPLER_OP_TYPES_H_