※当ページの情報はソニーでの動作確認結果をもとに掲載していますが、動作保証をするものではありませんので、ご注意ください。
・レイヤー
・TensorFlowからNeural Network Consoleへのインポート
・Neural Network ConsoleからTensorFlowへのエクスポート
・サンプル
・TensorFlowサンプルのNeural Network Consoleへのインポート
・Neural Network ConsoleサンプルのTensorFlowへのエクスポート
・TensorFlowからNeural Network Consoleへのインポート
✓：動作確認済み
△：一部制限有り
ブランク：未実装もしくは動作確認NG
| TensorFlowレイヤー名 | ステータス | 対応するNNCのレイヤー名 | 備考 |
| Abs | ✓ | Abs | |
| Acos | ✓ | ACos | |
| Acosh | ✓ | ACosh | |
| Add | ✓ | Add2 | |
| AddN | ✓ | Add2 | |
| All | |||
| Any | |||
| ArgMax | ✓ | Max | |
| ArgMin | ✓ | Min | |
| Asin | ✓ | ASin | |
| Asinh | ✓ | ASinh | |
| Atan | ✓ | ATan | |
| Atan2 | |||
| Atanh | ✓ | ATanh | |
| AvgPool | △ | AveragePooling, Transpose, Pad | padのエッジモードなど、一部の機能はNNCでサポートされていません。 |
| AvgPool3D | |||
| BatchMatMul | ✓ | BatchMatmul, Transpose | |
| BiasAdd | ✓ | Add2, Reshape | |
| Cast | |||
| Ceil | ✓ | Ceil | |
| ConcatV2 | ✓ | Concatenate | |
| Const | ✓ | Add2 | |
| Conv2D | |||
| Conv2DBackpropFilter | |||
| Conv2DBackpropInput | |||
| Conv3D | |||
| Conv3DBackpropFilterV2 | |||
| Conv3DBackpropInputV2 | |||
| Cos | ✓ | Cos | |
| Cosh | ✓ | Cosh | |
| DepthToSpace | |||
| DepthwiseConv2dNative | |||
| DepthwiseConv2d
NativeBackpropFilter |
|||
| DepthwiseConv2d
NativeBackpropInput |
|||
| Div | ✓ | Div2 | |
| Elu | ✓ | ELU | |
| Equal | ✓ | Equal | |
| Erf | |||
| Erfc | |||
| Exp | ✓ | Exp | |
| ExpandDims | ✓ | Reshape | |
| Fill | |||
| Flatten | ✓ | Reshape | |
| Floor | ✓ | Floor | |
| FloorDiv | ✓ | Div2, Floor | |
| FloorMod | ✓ | Div2, Floor, Sub2, Mul2 | |
| FusedBatchNorm | |||
| GatherNd | |||
| GatherV2 | |||
| Greater | ✓ | Greater | |
| GreaterEqual | ✓ | Less, LogicalNot | |
| Identity | ✓ | Identity | |
| IsInf | |||
| IsNan | |||
| LeakyRelu | ✓ | LeakyReLU | |
| Less | ✓ | Less | |
| LessEqual | ✓ | Greater, LogicalNot | |
| Log | ✓ | Log | |
| LogSoftmax | |||
| LogicalAnd | ✓ | LogicalAnd | |
| LogicalNot | ✓ | LogicalNot | |
| LogicalOr | ✓ | LogicalOr | |
| LogicalXor | ✓ | LogicalOr, LogicalAnd, LogicalNot | |
| MatrixBandPart | |||
| Max | ✓ | Max | |
| MaxPool | ✓ | Transpose, Pad, MaxPooling | |
| MaxPool3D | |||
| MaxPoolWithArgmax | |||
| Maximum | ✓ | Maximum2 | |
| Mean | ✓ | Mean | |
| Min | ✓ | Min | |
| Minimum | ✓ | Minimum2 | |
| Mul | ✓ | Mul2 | |
| Neg | ✓ | MulScalar | |
| NotEqual | ✓ | Equal, LogicalNot | |
| OneHot | |||
| Pack | ✓ | Concatenate, Reshape | |
| Pad | ✓ | Pad | |
| Pow | ✓ | Pow2 | |
| Prod | ✓ | Prod | |
| RandomShuffle | |||
| RandomStandardNormal | |||
| RandomUniform | |||
| RealDiv | ✓ | Div2 | |
| Reciprocal | ✓ | RDivScalar | |
| Relu | ✓ | ReLU | |
| Relu6 | ✓ | MinimumScalar, MaximumScalar | |
| Reshape | |||
| ReverseSequence | |||
| Rsqrt | ✓ | PowScalar, RDivScalar | |
| Select | |||
| Selu | ✓ | SELU | |
| Shape | |||
| Sigmoid | ✓ | Sigmoid | |
| Sign | ✓ | Sign | |
| Sin | ✓ | Sin | |
| Sinh | ✓ | Sinh | |
| Size | |||
| Slice | ✓ | Slice | |
| Softmax | |||
| Softplus | ✓ | AddScalar, Log, Exp | |
| Softsign | ✓ | Abs, AddScalar, Div2 | |
| SpaceToDepth | |||
| SplitV | |||
| Sqrt | ✓ | PowScalar | |
| Square | ✓ | Mul2 | |
| SquaredDifference | ✓ | Sub2, Mul2 | |
| Squeeze | ✓ | Reshape | |
| StopGradient | ✓ | Identity | |
| StridedSlice | ✓ | Slice | |
| Sub | ✓ | Sub2 | |
| Sum | ✓ | Sum | |
| Tan | ✓ | Tan | |
| Tanh | ✓ | Tanh | |
| Tile | ✓ | Tile | |
| TopKV2 | |||
| Transpose | ✓ | Transpose | |
| TruncateDiv | |||
| TruncateMod | |||
| Unpack | ✓ | Reshape, Split, Stack, Concatenate |
・Neural Network ConsoleからTensorFlowへのエクスポート
✓：動作確認済み
△：一部制限有り
ブランク：未実装もしくは動作確認NG
| NNCレイヤー名 | ステータス | 対応するTensorFlowのレイヤー名 | 備考 |
| Abs | ✓ | Abs, Placeholder | |
| AbsoluteError | |||
| ACos | ✓ | Placeholder, Acos | |
| ACosh | ✓ | Acosh, Placeholder | |
| Add2 | ✓ | Add, Placeholder | |
| AddScalar | ✓ | Const, Add, Placeholder | |
| Affine | ✓ | Mul, Const, Reshape, Placeholder, MatMul, Add | |
| ASin | ✓ | Asin, Placeholder | |
| ASinh | ✓ | Asinh, Placeholder | |
| ATan | ✓ | Atan, Placeholder | |
| ATan2 | ✓ | RealDiv, Placeholder, Atan | |
| ATanh | ✓ | Atanh, Placeholder | |
| AveragePooling | △ | AvgPool, Const, Reshape, Placeholder, Transpose, AvgPool3D, Pad | 現在、ignore_borderとinclude_padの両方がTrueの場合のみをサポートしています。 |
| BatchMatmul | ✓ | Const, Reshape, Placeholder, Transpose, BatchMatMulV2 | |
| BatchNormalization | △ | Mul, Const, Mean, Reshape, Rsqrt, Sub, Placeholder, Add, StopGradient, SquaredDifference | 推論段階、caffe2 mistmatch onnx 1.4.xの実装では、「インプレース」機能を適用できません。 |
| BinaryConnectAffine | ✓ | Mul, Const, Reshape, Placeholder, MatMul, Add | |
| BinaryConnectConvolution | △ | Const, ConcatV2, Reshape, Identity, Split, Placeholder, Transpose, Add, Pad, Conv2D | DilationとStrideが1より大きい場合はTensorFlowではサポートされていません。 |
| BinaryCrossEntropy | |||
| BinaryError | |||
| BinarySigmoid | ✓ | Select, Const, Greater, Placeholder | |
| BinaryTanh | ✓ | Select, Const, Greater, Placeholder | |
| BinaryWeightAffine | ✓ | Mul, Const, Reshape, Placeholder, MatMul, Add | |
| BinaryWeightConvolution | △ | Mul, Const, ConcatV2, Reshape, Identity, Split, Placeholder, Transpose, Add, Pad, Conv2D | DilationとStrideが1より大きい場合はTensorFlowではサポートされていません。 |
| Broadcast | |||
| BroadcastTo | ✓ | ||
| CategoricalCrossEntropy | |||
| Ceil | ✓ | Ceil, Placeholder | |
| CELU | |||
| ClipGradByNorm | |||
| ClipGradByValue | |||
| Concatenate | ✓ | ConcatV2, Placeholder, Const | |
| Convolution | △ | ConcatV2, Const, Reshape, BatchToSpaceND, Identity, Split, Placeholder, SpaceToBatchND, Transpose, Add, Pad, Conv2D | DilationとStrideが1より大きい場合はTensorFlowではサポートされていません。 |
| Cos | ✓ | Cos, Placeholder | |
| Cosh | ✓ | Cosh, Placeholder | |
| CReLU | |||
| Deconvolution | △ | Const, ConcatV2, Conv2DBackpropInput, Slice, Reshape, Identity, Split, Placeholder, Transpose, Add | Dilationが1より大きい場合はTensorFlowではサポートされていません。 |
| DepthwiseConvolution | △ | ConcatV2, Const, Reshape, BatchToSpaceND, Split, Placeholder, SpaceToBatchND, Transpose, Add, Pad, Conv2D | DilationとStrideが1より大きい場合はTensorFlowではサポートされていません。 |
| DepthwiseDeconvolution | △ | ConcatV2, Const, Slice, Reshape, Conv2DBackpropInput, Split, Placeholder, Transpose, Add | Dilationが1より大きい場合はTensorFlowではサポートされていません。 |
| Div2 | ✓ | RealDiv, Placeholder | |
| Dropout | |||
| ELU | ✓ | Less, Const, Mul, Exp, Cast, Sub, Placeholder, GreaterEqual, Add, Elu | |
| Embed | |||
| EpsilonInsensitiveLoss | |||
| Equal | ✓ | Equal, Placeholder | |
| EqualScalar | |||
| Exp | ✓ | Placeholder, Exp | |
| FFT | |||
| FixedPointQuantize | |||
| Flip | ✓ | Const, Identity, Placeholder, Transpose, GatherV2 | |
| Floor | ✓ | Floor, Placeholder | |
| FusedBatchNormalization | |||
| GELU | |||
| GlobalAveragePooling | ✓ | Const, Mean, Range, Sub, SplitV, Pack | |
| Greater | ✓ | Greater, Placeholder | |
| GreaterEqual | |||
| GreaterEqualScalar | |||
| GreaterScalar | |||
| HardSigmoid | |||
| HardTanh | |||
| HuberLoss | |||
| Identity | ✓ | Identity, Placeholder | |
| IFFT | |||
| ImageAugmentation | |||
| Interpolate | |||
| KLMultinomial | |||
| LeakyReLU | ✓ | LeakyRelu, Placeholder | |
| Less | ✓ | Less, Placeholder | |
| LessEqual | |||
| LessEqualScalar | |||
| LessScalar | |||
| Log | ✓ | Log, Placeholder | |
| LogicalAnd | ✓ | LogicalAnd, Placeholder | |
| LogicalAndScalar | |||
| LogicalNot | ✓ | LogicalNot, Placeholder | |
| LogicalOr | ✓ | LogicalOr, Placeholder | |
| LogicalOrScalar | |||
| LogicalXor | ✓ | LogicalOr, LogicalAnd, LogicalNot, Placeholder | |
| LogicalXorScalar | |||
| LogSigmoid | |||
| LSTM | |||
| MatrixDiag | |||
| MatrixDiagPart | |||
| Max | ✓ | Const, Max, Placeholder | |
| Maximum2 | ✓ | Const, Placeholder, Add, Pack, Max | |
| MaximumScalar | ✓ | Const, Placeholder, Add, Pack, Max | |
| MaxPooling | ✓ | Const, MaxPool3D, PadV2, Reshape, Placeholder, Transpose, MaxPool | |
| Mean | ✓ | Const, Mean, Placeholder | |
| MeanSubtraction | |||
| Min | ✓ | Const, Min, Placeholder | |
| Minimum2 | ✓ | Const, Min, Placeholder, Add, Pack | |
| MinimumScalar | ✓ | Const, Min, Placeholder, Add, Pack | |
| Mul2 | ✓ | Mul, Placeholder | |
| MulScalar | ✓ | Mul, Const, Placeholder | |
| NmsDetection2d | |||
| NotEqual | |||
| NotEqualScalar | |||
| OneHot | |||
| Pad | △ | MirrorPad, Const, PadV2, Placeholder | パッドのモードが反映されている場合、パッドのサイズが入力サイズを超えると、TensorFlowでは処理できません。 |
| Pow2 | ✓ | Pow, Placeholder | |
| Pow2Quantize | |||
| PowScalar | ✓ | Const, Pow, Placeholder | |
| PReLU | ✓ | Mul, Const, Reshape, Abs, Sub, Placeholder, Relu, Add | |
| Prod | ✓ | Const, Prod, Placeholder | |
| Prune | |||
| RandomCrop | |||
| RandomFlip | |||
| RandomShift | |||
| RDivScalar | ✓ | Const, RealDiv, Placeholder | |
| ReLU | ✓ | Placeholder, Relu | |
| ReLU6 | |||
| Reshape | ✓ | Const, Reshape, Placeholder | |
| Round | |||
| RPowScalar | ✓ | Const, Pow, Placeholder | |
| RSubScalar | ✓ | Const, Sub, Placeholder | |
| SELU | ✓ | Mul, Const, Minimum, Exp, Maximum, Sub, Placeholder, Add | |
| Shift | |||
| Sigmoid | ✓ | Sigmoid, Placeholder | |
| SigmoidCrossEntropy | |||
| Sign | ✓ | Sign, Placeholder | |
| Sin | ✓ | Sin, Placeholder | |
| Sinc | |||
| Sinh | ✓ | Sinh, Placeholder | |
| Slice | △ | Const, Slice, Placeholder | step！= 1″は、onnx opset 9の範囲を超えていますが、サポートされていません。 |
| Softmax | ✓ | Const, Sum, Exp, Sub, Placeholder, RealDiv, Max | |
| SoftmaxCrossEntropy | |||
| SoftPlus | |||
| SoftSign | |||
| Sort | |||
| SquaredError | |||
| Stack | ✓ | ExpandDims, ConcatV2, Placeholder, Const | |
| Sub2 | ✓ | Sub, Placeholder | |
| Sum | ✓ | Const, Sum, Placeholder | |
| SumPooling | ✓ | AvgPool, Mul, Const, Reshape, Placeholder, Transpose, AvgPool3D, Pad | |
| Swish | |||
| Tan | ✓ | Tan, Placeholder | |
| Tanh | ✓ | Tanh, Placeholder | |
| TanhShrink | |||
| Tile | |||
| TopKData | |||
| TopKGrad | |||
| TopNError | |||
| Transpose | ✓ | Transpose, Const, Placeholder | |
| Unlink | |||
| Unpooling | △ | Mul, Const, Merge, Equal, Reshape, LogicalAnd, ResizeNearestNeighbor, Cast, Identity, Placeholder, StridedSlice, Transpose, Switch, NoOp, Assert | カーネルは2dのみをサポートします。 |
| VATNoise |
・TensorFlowサンプルのNeural Network Consoleへのインポート
✓：動作確認済み
| TensorFlowサンプル名 | ステータス | 備考 |
| fc-layers_frozen | ✓ |
・Neural Network ConsoleサンプルのTensorFlowへのインポート
✓：動作確認済み
| NNCサンプル名 | ステータス | 備考 |
| 01_logistic_regression | ✓ | |
| 02_binary_cnn | ✓ |
