Create release 1.8.0 (#893)

Create release 1.8.0 with updates in
- ONNX_VERSION_NUMBER: ONNX version numbmer
- VERSION_NUMBER: ONNX-TF version number
- .github/workflows/test-backend.yml: versions for ONNX and TF
- .github/workflows/test-modelzoo.yml: versions for ONNX and TF
- doc/support_status.md: support status for the latest masters
- doc/support_status_v1_8_0.md: support status for the release
1.8.0

Signed-off-by: Chin Huang <chhuang@us.ibm.com>

Author: chinhuang007

.github/workflows/test-backend.yml

@@ -16,14 +16,14 @@ jobs:
         os: [ubuntu-latest, windows-latest, macos-latest]
         python-version: [3.6, 3.8]
         onnx-version: ['onnx==1.8.0']
-        tensorflow-version: ['tensorflow-cpu==2.3.1 tensorflow-addons==0.11.2']
+        tensorflow-version: ['tensorflow-cpu==2.4.1 tensorflow-addons==0.12.0']
         include:
           - # Test previous versions on Linux only (regression)
             # - use pinned versions for previous onnx-tf release
             os: ubuntu-latest
             python-version: 3.6
-            onnx-version: 'onnx==1.7.0'
-            tensorflow-version: 'tensorflow-cpu==2.3.1 tensorflow-addons==0.11.2'
+            onnx-version: 'onnx==1.8.0'
+            tensorflow-version: 'tensorflow==2.4.1 tensorflow-addons==0.12.0'
           - # Test development versions on Linux only
             # - latest development versions
             # - allow failure via GitHub branch protection rule

.github/workflows/test-modelzoo.yml

@@ -31,7 +31,7 @@ jobs:
         python-version: '3.6'
     - name: Install dependencies
       run: |
-        pip install onnx==1.7.0 tensorflow-cpu==2.3.1 tensorflow-addons==0.11.2
+        pip install onnx==1.8.0 tensorflow==2.4.1 tensorflow-addons==0.12.0
         pip install -e .
     - name: Run ModelZoo tests
       run: |

ONNX_VERSION_NUMBER

@@ -1 +1 @@
-1.7.0
+1.8.0

README.md

@@ -41,7 +41,7 @@ The specific ONNX release version that we support in the master branch of ONNX-T
 
 To install the latest version of ONNX-TF via pip, run `pip install onnx-tf`.
 
-Because users often have their own preferences for which variant of TensorFlow to install (i.e., a GPU version instead of a CPU version), we do not explicitly require tensorflow in the installation script. It is therefore users' responsibility to ensure that the proper variant of TensorFlow is available to ONNX-TF. Moreover, we require TensorFlow version == 2.3.1.
+Because users often have their own preferences for which variant of TensorFlow to install (i.e., a GPU version instead of a CPU version), we do not explicitly require tensorflow in the installation script. It is therefore users' responsibility to ensure that the proper variant of TensorFlow is available to ONNX-TF. Moreover, we require TensorFlow version == 2.4.1.
 
 ## Development
 
@@ -53,7 +53,7 @@ Because users often have their own preferences for which variant of TensorFlow t
 
 ### Installation
 - Install ONNX master branch from source.
-- Install TensorFlow >= 2.3.1 and tensorflow-addons. (Note for TensorFlow 1.x please refer the [tf-1.x branch](https://github.com/onnx/onnx-tensorflow/tree/tf-1.x))
+- Install TensorFlow >= 2.4.1 and tensorflow-addons. (Note TensorFlow 1.x is no longer supported)
 - Run `git clone https://github.com/onnx/onnx-tensorflow.git && cd onnx-tensorflow`.
 - Run `pip install -e .`.
 

VERSION_NUMBER

@@ -1 +1 @@
-1.7.0
+1.8.0

doc/support_status.md

@@ -0,0 +1,208 @@
+# ONNX-Tensorflow Support Status
+|||
+|-:|:-|
+|ONNX-Tensorflow Version|v1.8.0|
+|ONNX Version|1.8.1|
+|Tensorflow Version|v2.4.1|
+
+Notes:
+* Values that are new or updated from a previous opset version are in bold.
+* -: not defined in corresponding ONNX opset version
+* \*: the operator is deprecated
+* :small_red_triangle:: not supported yet
+* :small_orange_diamond:: partially supported
+* the rest are all supported
+
+||||||||||||||||
+|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|
+|**ONNX Operator**|**Opset 1**|**Opset 2**|**Opset 3**|**Opset 4**|**Opset 5**|**Opset 6**|**Opset 7**|**Opset 8**|**Opset 9**|**Opset 10**|**Opset 11**|**Opset 12**|**Opset 13**|**ONNX Operator**|
+|Abs|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Abs|
+|Acos|-|-|-|-|-|-|**7**|7|7|7|7|7|7|Acos|
+|Acosh|-|-|-|-|-|-|-|-|**9**|9|9|9|9|Acosh|
+|Add|**1**|1|1|1|1|**6**|**7**|7|7|7|7|7|**13**|Add|
+|And|**1**|1|1|1|1|1|**7**|7|7|7|7|7|7|And|
+|ArgMax|**1**|1|1|1|1|1|1|1|1|1|**11**|**12**|**13**|ArgMax|
+|ArgMin|**1**|1|1|1|1|1|1|1|1|1|**11**|**12**|**13**|ArgMin|
+|Asin|-|-|-|-|-|-|**7**|7|7|7|7|7|7|Asin|
+|Asinh|-|-|-|-|-|-|-|-|**9**|9|9|9|9|Asinh|
+|Atan|-|-|-|-|-|-|**7**|7|7|7|7|7|7|Atan|
+|Atanh|-|-|-|-|-|-|-|-|**9**|9|9|9|9|Atanh|
+|AveragePool|**1**|1|1|1|1|1|**7**|7|7|**10**|**11**|11|11|AveragePool|
+|BatchNormalization|**1**|1|1|1|1|**6**|**7**|7|**9**|9|9|9|9|BatchNormalization|
+|BitShift|-|-|-|-|-|-|-|-|-|-|**11**|11|11|BitShift|
+|Cast|**1**:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|**6**:small_orange_diamond:|6:small_orange_diamond:|6:small_orange_diamond:|**9**:small_orange_diamond:|9:small_orange_diamond:|9:small_orange_diamond:|9:small_orange_diamond:|**13**:small_orange_diamond:|Cast|
+|Ceil|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Ceil|
+|Celu|-|-|-|-|-|-|-|-|-|-|-|**12**|12|Celu|
+|Clip|**1**|1|1|1|1|**6**|6|6|6|6|**11**|**12**|**13**|Clip|
+|Compress|-|-|-|-|-|-|-|-|**9**|9|**11**|11|11|Compress|
+|Concat|**1**|1|1|**4**|4|4|4|4|4|4|**11**|11|**13**|Concat|
+|ConcatFromSequence|-|-|-|-|-|-|-|-|-|-|**11**:small_orange_diamond:|11:small_orange_diamond:|11:small_orange_diamond:|ConcatFromSequence|
+|Constant|**1**|1|1|1|1|1|1|1|**9**|9|**11**|**12**|**13**|Constant|
+|ConstantOfShape|-|-|-|-|-|-|-|-|**9**|9|9|9|9|ConstantOfShape|
+|Conv|**1**|1|1|1|1|1|1|1|1|1|**11**|11|11|Conv|
+|ConvInteger|-|-|-|-|-|-|-|-|-|**10**|10|10|10|ConvInteger|
+|ConvTranspose|**1**:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|**11**:small_orange_diamond:|11:small_orange_diamond:|11:small_orange_diamond:|ConvTranspose|
+|Cos|-|-|-|-|-|-|**7**|7|7|7|7|7|7|Cos|
+|Cosh|-|-|-|-|-|-|-|-|**9**|9|9|9|9|Cosh|
+|CumSum|-|-|-|-|-|-|-|-|-|-|**11**|11|11|CumSum|
+|DepthToSpace|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|DepthToSpace|
+|DequantizeLinear|-|-|-|-|-|-|-|-|-|**10**|10|10|**13**|DequantizeLinear|
+|Det|-|-|-|-|-|-|-|-|-|-|**11**|11|11|Det|
+|Div|**1**|1|1|1|1|**6**|**7**|7|7|7|7|7|**13**|Div|
+|Dropout|**1**|1|1|1|1|**6**|**7**|7|7|**10**|10|**12**|**13**|Dropout|
+|DynamicQuantizeLinear|-|-|-|-|-|-|-|-|-|-|**11**|11|11|DynamicQuantizeLinear|
+|Einsum|-|-|-|-|-|-|-|-|-|-|-|**12**|12|Einsum|
+|Elu|**1**|1|1|1|1|**6**|6|6|6|6|6|6|6|Elu|
+|Equal|**1**|1|1|1|1|1|**7**|7|7|7|**11**|11|**13**|Equal|
+|Erf|-|-|-|-|-|-|-|-|**9**|9|9|9|**13**|Erf|
+|Exp|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Exp|
+|Expand|-|-|-|-|-|-|-|**8**|8|8|8|8|**13**|Expand|
+|EyeLike|-|-|-|-|-|-|-|-|**9**|9|9|9|9|EyeLike|
+|Flatten|**1**|1|1|1|1|1|1|1|**9**|9|**11**|11|**13**|Flatten|
+|Floor|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Floor|
+|GRU|**1**:small_orange_diamond:|1:small_orange_diamond:|**3**:small_orange_diamond:|3:small_orange_diamond:|3:small_orange_diamond:|3:small_orange_diamond:|**7**:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|GRU|
+|Gather|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|Gather|
+|GatherElements|-|-|-|-|-|-|-|-|-|-|**11**|11|**13**|GatherElements|
+|GatherND|-|-|-|-|-|-|-|-|-|-|**11**|**12**|**13**|GatherND|
+|Gemm|**1**|1|1|1|1|**6**|**7**|7|**9**|9|**11**|11|**13**|Gemm|
+|GlobalAveragePool|**1**|1|1|1|1|1|1|1|1|1|1|1|1|GlobalAveragePool|
+|GlobalLpPool|**1**|**2**|2|2|2|2|2|2|2|2|2|2|2|GlobalLpPool|
+|GlobalMaxPool|**1**|1|1|1|1|1|1|1|1|1|1|1|1|GlobalMaxPool|
+|Greater|**1**|1|1|1|1|1|**7**|7|**9**|9|9|9|**13**|Greater|
+|GreaterOrEqual|-|-|-|-|-|-|-|-|-|-|-|**12**|12|GreaterOrEqual|
+|HardSigmoid|**1**|1|1|1|1|**6**|6|6|6|6|6|6|6|HardSigmoid|
+|Hardmax|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|Hardmax|
+|Identity|**1**:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|**13**:small_orange_diamond:|Identity|
+|If|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|If|
+|InstanceNormalization|**1**|1|1|1|1|**6**|6|6|6|6|6|6|6|InstanceNormalization|
+|IsInf|-|-|-|-|-|-|-|-|-|**10**|10|10|10|IsInf|
+|IsNaN|-|-|-|-|-|-|-|-|**9**|9|9|9|**13**|IsNaN|
+|LRN|**1**|1|1|1|1|1|1|1|1|1|1|1|**13**|LRN|
+|LSTM|**1**:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|**7**:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|LSTM|
+|LeakyRelu|**1**|1|1|1|1|**6**|6|6|6|6|6|6|6|LeakyRelu|
+|Less|**1**|1|1|1|1|1|**7**|7|**9**|9|9|9|**13**|Less|
+|LessOrEqual|-|-|-|-|-|-|-|-|-|-|-|**12**|12|LessOrEqual|
+|Log|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Log|
+|LogSoftmax|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|LogSoftmax|
+|Loop|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|Loop|
+|LpNormalization|**1**|1|1|1|1|1|1|1|1|1|1|1|1|LpNormalization|
+|LpPool|**1**|**2**|2|2|2|2|2|2|2|2|**11**|11|11|LpPool|
+|MatMul|**1**|1|1|1|1|1|1|1|**9**|9|9|9|**13**|MatMul|
+|MatMulInteger|-|-|-|-|-|-|-|-|-|**10**|10|10|10|MatMulInteger|
+|Max|**1**|1|1|1|1|**6**|6|**8**|8|8|8|**12**|**13**|Max|
+|MaxPool|**1**:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|**8**:small_orange_diamond:|8:small_orange_diamond:|**10**:small_orange_diamond:|**11**:small_orange_diamond:|**12**:small_orange_diamond:|12:small_orange_diamond:|MaxPool|
+|MaxRoiPool|**1**:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|MaxRoiPool|
+|MaxUnpool|-|-|-|-|-|-|-|-|**9**|9|**11**|11|11|MaxUnpool|
+|Mean|**1**|1|1|1|1|**6**|6|**8**|8|8|8|8|**13**|Mean|
+|MeanVarianceNormalization|-|-|-|-|-|-|-|-|**9**|9|9|9|**13**|MeanVarianceNormalization|
+|Min|**1**|1|1|1|1|**6**|6|**8**|8|8|8|**12**|**13**|Min|
+|Mod|-|-|-|-|-|-|-|-|-|**10**|10|10|**13**|Mod|
+|Mul|**1**|1|1|1|1|**6**|**7**|7|7|7|7|7|**13**|Mul|
+|Multinomial|-|-|-|-|-|-|**7**:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|7:small_red_triangle:|Multinomial|
+|Neg|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Neg|
+|NegativeLogLikelihoodLoss|-|-|-|-|-|-|-|-|-|-|-|**12**:small_red_triangle:|**13**:small_red_triangle:|NegativeLogLikelihoodLoss|
+|NonMaxSuppression|-|-|-|-|-|-|-|-|-|**10**|**11**|11|11|NonMaxSuppression|
+|NonZero|-|-|-|-|-|-|-|-|**9**|9|9|9|**13**|NonZero|
+|Not|**1**|1|1|1|1|1|1|1|1|1|1|1|1|Not|
+|OneHot|-|-|-|-|-|-|-|-|**9**|9|**11**|11|11|OneHot|
+|Or|**1**|1|1|1|1|1|**7**|7|7|7|7|7|7|Or|
+|PRelu|**1**|1|1|1|1|**6**|**7**|7|**9**|9|9|9|9|PRelu|
+|Pad|**1**|**2**|2|2|2|2|2|2|2|2|**11**|11|**13**|Pad|
+|Pow|**1**|1|1|1|1|1|**7**|7|7|7|7|**12**|**13**|Pow|
+|QLinearConv|-|-|-|-|-|-|-|-|-|**10**|10|10|10|QLinearConv|
+|QLinearMatMul|-|-|-|-|-|-|-|-|-|**10**|10|10|10|QLinearMatMul|
+|QuantizeLinear|-|-|-|-|-|-|-|-|-|**10**|10|10|**13**|QuantizeLinear|
+|RNN|**1**:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|1:small_orange_diamond:|**7**:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|7:small_orange_diamond:|RNN|
+|RandomNormal|**1**|1|1|1|1|1|1|1|1|1|1|1|1|RandomNormal|
+|RandomNormalLike|**1**|1|1|1|1|1|1|1|1|1|1|1|1|RandomNormalLike|
+|RandomUniform|**1**|1|1|1|1|1|1|1|1|1|1|1|1|RandomUniform|
+|RandomUniformLike|**1**|1|1|1|1|1|1|1|1|1|1|1|1|RandomUniformLike|
+|Range|-|-|-|-|-|-|-|-|-|-|**11**|11|11|Range|
+|Reciprocal|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Reciprocal|
+|ReduceL1|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|ReduceL1|
+|ReduceL2|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|ReduceL2|
+|ReduceLogSum|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|ReduceLogSum|
+|ReduceLogSumExp|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|ReduceLogSumExp|
+|ReduceMax|**1**|1|1|1|1|1|1|1|1|1|**11**|**12**|**13**|ReduceMax|
+|ReduceMean|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|ReduceMean|
+|ReduceMin|**1**|1|1|1|1|1|1|1|1|1|**11**|**12**|**13**|ReduceMin|
+|ReduceProd|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|ReduceProd|
+|ReduceSum|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|ReduceSum|
+|ReduceSumSquare|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|ReduceSumSquare|
+|Relu|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Relu|
+|Reshape|**1**|1|1|1|**5**|5|5|5|5|5|5|5|**13**|Reshape|
+|Resize|-|-|-|-|-|-|-|-|-|**10**:small_orange_diamond:|**11**:small_orange_diamond:|11:small_orange_diamond:|**13**:small_orange_diamond:|Resize|
+|ReverseSequence|-|-|-|-|-|-|-|-|-|**10**|10|10|10|ReverseSequence|
+|RoiAlign|-|-|-|-|-|-|-|-|-|**10**:small_orange_diamond:|10:small_orange_diamond:|10:small_orange_diamond:|10:small_orange_diamond:|RoiAlign|
+|Round|-|-|-|-|-|-|-|-|-|-|**11**|11|11|Round|
+|Scan|-|-|-|-|-|-|-|**8**|**9**|9|**11**|11|11|Scan|
+|Scatter|-|-|-|-|-|-|-|-|**9**|9|**11**\*|11\*|11\*|Scatter|
+|ScatterElements|-|-|-|-|-|-|-|-|-|-|**11**|11|**13**|ScatterElements|
+|ScatterND|-|-|-|-|-|-|-|-|-|-|**11**|11|**13**|ScatterND|
+|Selu|**1**|1|1|1|1|**6**|6|6|6|6|6|6|6|Selu|
+|SequenceAt|-|-|-|-|-|-|-|-|-|-|**11**|11|11|SequenceAt|
+|SequenceConstruct|-|-|-|-|-|-|-|-|-|-|**11**|11|11|SequenceConstruct|
+|SequenceEmpty|-|-|-|-|-|-|-|-|-|-|**11**|11|11|SequenceEmpty|
+|SequenceErase|-|-|-|-|-|-|-|-|-|-|**11**|11|11|SequenceErase|
+|SequenceInsert|-|-|-|-|-|-|-|-|-|-|**11**|11|11|SequenceInsert|
+|SequenceLength|-|-|-|-|-|-|-|-|-|-|**11**|11|11|SequenceLength|
+|Shape|**1**|1|1|1|1|1|1|1|1|1|1|1|**13**|Shape|
+|Shrink|-|-|-|-|-|-|-|-|**9**|9|9|9|9|Shrink|
+|Sigmoid|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Sigmoid|
+|Sign|-|-|-|-|-|-|-|-|**9**|9|9|9|**13**|Sign|
+|Sin|-|-|-|-|-|-|**7**|7|7|7|7|7|7|Sin|
+|Sinh|-|-|-|-|-|-|-|-|**9**|9|9|9|9|Sinh|
+|Size|**1**|1|1|1|1|1|1|1|1|1|1|1|**13**|Size|
+|Slice|**1**|1|1|1|1|1|1|1|1|**10**|**11**|11|**13**|Slice|
+|Softmax|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**|Softmax|
+|SoftmaxCrossEntropyLoss|-|-|-|-|-|-|-|-|-|-|-|**12**:small_red_triangle:|**13**:small_red_triangle:|SoftmaxCrossEntropyLoss|
+|Softplus|**1**|1|1|1|1|1|1|1|1|1|1|1|1|Softplus|
+|Softsign|**1**|1|1|1|1|1|1|1|1|1|1|1|1|Softsign|
+|SpaceToDepth|**1**|1|1|1|1|1|1|1|1|1|1|1|**13**|SpaceToDepth|
+|Split|**1**|**2**|2|2|2|2|2|2|2|2|**11**|11|**13**|Split|
+|SplitToSequence|-|-|-|-|-|-|-|-|-|-|**11**:small_orange_diamond:|11:small_orange_diamond:|11:small_orange_diamond:|SplitToSequence|
+|Sqrt|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Sqrt|
+|Squeeze|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**:small_red_triangle:|Squeeze|
+|StringNormalizer|-|-|-|-|-|-|-|-|-|**10**:small_red_triangle:|10:small_red_triangle:|10:small_red_triangle:|10:small_red_triangle:|StringNormalizer|
+|Sub|**1**|1|1|1|1|**6**|**7**|7|7|7|7|7|**13**|Sub|
+|Sum|**1**|1|1|1|1|**6**|6|**8**|8|8|8|8|**13**|Sum|
+|Tan|-|-|-|-|-|-|**7**|7|7|7|7|7|7|Tan|
+|Tanh|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Tanh|
+|TfIdfVectorizer|-|-|-|-|-|-|-|-|**9**|9|9|9|9|TfIdfVectorizer|
+|ThresholdedRelu|-|-|-|-|-|-|-|-|-|**10**|10|10|10|ThresholdedRelu|
+|Tile|**1**|1|1|1|1|**6**|6|6|6|6|6|6|**13**|Tile|
+|TopK|**1**|1|1|1|1|1|1|1|1|**10**|**11**|11|11|TopK|
+|Transpose|**1**|1|1|1|1|1|1|1|1|1|1|1|**13**|Transpose|
+|Unique|-|-|-|-|-|-|-|-|-|-|**11**:small_red_triangle:|11:small_red_triangle:|11:small_red_triangle:|Unique|
+|Unsqueeze|**1**|1|1|1|1|1|1|1|1|1|**11**|11|**13**:small_red_triangle:|Unsqueeze|
+|Upsample|**1**:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|1:small_red_triangle:|**7**:small_orange_diamond:|7:small_orange_diamond:|**9**:small_orange_diamond:|**10**\*|10\*|10\*|10\*|Upsample|
+|Where|-|-|-|-|-|-|-|-|**9**|9|9|9|9|Where|
+|Xor|**1**|1|1|1|1|1|**7**|7|7|7|7|7|7|Xor|
+
+ONNX-TF Supported Operators / ONNX Operators: 154 / 162
+
+Notes:
+1. Cast: Cast string to data types other than float32/float64/int32/int64 is not supported in Tensorflow
+2. ConcatFromSequence: new_axis=1 not supported in Tensorflow.
+3. ConvTranspose: ConvTranspose with dilations != 1, or transposed convolution for 4D or higher are not supported in Tensorflow.
+4. GRU: GRU with clip or GRU with linear_before_reset, or GRU not using sigmoid for z and r, or GRU using Elu as the activation function with alpha != 1, or GRU using HardSigmoid as the activation function with alpha != 0.2 or beta != 0.5 are not supported in TensorFlow.
+5. Identity: Identity with sequence type is not supported in Tensorflow
+6. LSTM: LSTM not using sigmoid for `f`, or LSTM not using the same activation for `g` and `h` are not supported in Tensorflow.
+7. MaxPool: MaxPoolWithArgmax with pad is None or incompatible mode, or MaxPoolWithArgmax with 4D or higher input, or MaxPoolWithArgmax with column major are not supported in Tensorflow.
+8. RNN: RNN with clip is not supported in Tensorflow.
+9. Resize: Resize required 4D input in Tensorflow. For opset 11, only the following attributes and inputs conbination are supported in Tensorflow:
+	1. mode=nearest, coordinate_transformation_mode=align_corners, nearest_mode=round_prefer_ceil, can use scales(*) or sizes.
+	2. mode=nearest, coordinate_transformation_mode=asymmetric, nearest_mode=floor, can use scales(*) or sizes.
+	3. mode=nearest, coordinate_transformation_mode=tf_half_pixel_for_nn, nearest_mode=floor, can use scales(*) or sizes.
+	4. mode=linear, coordinate_transformation_mode=align_corners, can use scales(*) or sizes.
+	5. mode=linear, coordinate_transformation_mode=asymmetric, can use scales(*) or sizes.
+	6. mode=linear, coordinate_transformation_mode=half_pixel, can use scales(*) or sizes.
+	7. mode=cubic, coordinate_transformation_mode=align_corners, cubic_coeff_a=-0.5, exclude_outside=1, can use scales(*) or sizes.
+	8. mode=cubic, coordinate_transformation_mode=asymmetric, cubic_coeff_a=-0.5, exclude_outside=1, can use scales(*) or sizes.
+	9. mode=cubic, coordinate_transformation_mode=half_pixel, cubic_coeff_a=-0.5, exclude_outside=1, can use scales(*) or sizes.
+	10. mode=nearest, coordinate_transformation_mode=tf_crop_and_resize, extrapolation_value=any_float_value, nearest_mode=round_prefer_ceil, can use scales or sizes.
+	11. mode=linear, coordinate_transformation_mode=tf_crop_and_resize, extrapolation_value=any_float_value, can use scales or sizes.
+	- Note (*): The accuracy of your model will go down, if the height and the width of the new sizes(scales * origial sizes) are not in whole numbers.
+10. RoiAlign: sampling_ratio <= 0 is not fully supported.
+11. SplitToSequence: Scalar as the split input not supported.
+12. Upsample: Upsample required 4D input in Tensorflow.